diff --git common/src/java/org/apache/hadoop/hive/conf/HiveConf.java common/src/java/org/apache/hadoop/hive/conf/HiveConf.java index 9c954be..69205bc 100644 --- common/src/java/org/apache/hadoop/hive/conf/HiveConf.java +++ common/src/java/org/apache/hadoop/hive/conf/HiveConf.java @@ -2839,6 +2839,10 @@ private static void populateLlapDaemonVarsSet(Set llapDaemonVarsSetLocal "1. chosen : use VectorUDFAdaptor for a small set of UDFs that were choosen for good performance\n" + "2. all : use VectorUDFAdaptor for all UDFs" ), + HIVE_VECTORIZATION_PTF_ENABLED("hive.vectorized.execution.ptf.enabled", false, + "This flag should be set to true to enable vectorized mode of the PTF of query execution.\n" + + "The default value is false."), + HIVE_VECTORIZATION_COMPLEX_TYPES_ENABLED("hive.vectorized.complex.types.enabled", true, "This flag should be set to true to enable vectorization\n" + "of expressions with complex types.\n" + diff --git data/files/vector_over_example.txt data/files/vector_over_example.txt new file mode 100644 index 0000000..f2a2be0 --- /dev/null +++ data/files/vector_over_example.txt @@ -0,0 +1,7 @@ +1 Stark Robb Stark 6.0 6.0 +2 Stark Ned Stark 8.0 7.0 +3 Stark Bran Stark 2.0 9.0 +4 Stark Arya Stark 4.0 6.0 +5 Lannister Jamie Lannister 7.0 5.0 +6 Lannister Tyrion Lannister 3.0 10.0 +7 Lannister Tywin Lannister 3.0 8.0 \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/Operator.java ql/src/java/org/apache/hadoop/hive/ql/exec/Operator.java index 7f646c4..66c34aa 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/Operator.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/Operator.java @@ -637,6 +637,13 @@ public void endGroup() throws HiveException { defaultEndGroup(); } + // Tell the operator the status of the next key-grouped VectorizedRowBatch that will be delivered + // to the process method. E.g. by reduce-shuffle. These semantics are needed by PTF so it can + // efficiently add computed values to the last batch of a group key. + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + // Do nothing. + } + // an blocking operator (e.g. GroupByOperator and JoinOperator) can // override this method to forward its outputs public void flush() throws HiveException { diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/OperatorFactory.java ql/src/java/org/apache/hadoop/hive/ql/exec/OperatorFactory.java index af1fa66..993da83 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/OperatorFactory.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/OperatorFactory.java @@ -38,6 +38,8 @@ import org.apache.hadoop.hive.ql.exec.vector.VectorSparkHashTableSinkOperator; import org.apache.hadoop.hive.ql.exec.vector.VectorSparkPartitionPruningSinkOperator; import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext; +import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkCommonOperator; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFOperator; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.ql.optimizer.spark.SparkPartitionPruningSinkDesc; import org.apache.hadoop.hive.ql.parse.spark.SparkPartitionPruningSinkOperator; @@ -138,6 +140,7 @@ vectorOpvec.put(FileSinkDesc.class, VectorFileSinkOperator.class); vectorOpvec.put(FilterDesc.class, VectorFilterOperator.class); vectorOpvec.put(LimitDesc.class, VectorLimitOperator.class); + vectorOpvec.put(PTFDesc.class, VectorPTFOperator.class); vectorOpvec.put(SparkHashTableSinkDesc.class, VectorSparkHashTableSinkOperator.class); } diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkReduceRecordHandler.java ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkReduceRecordHandler.java index 36158a1..7c1164b 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkReduceRecordHandler.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/spark/SparkReduceRecordHandler.java @@ -442,13 +442,13 @@ private void processVectorRow(Object key, final Object value) throws IOException // Flush current group batch as last batch of group. if (batch.size > 0) { + // Indicate last batch of current group. + reducer.setNextVectorBatchGroupStatus(/* isLastGroupBatch */ true); + // Forward; reset key and value columns. forwardBatch(/* resetValueColumnsOnly */ false); - reducer.endGroup(); } - reducer.startGroup(); - // Deserialize group key into vector row columns. byte[] keyBytes = keyWritable.getBytes(); int keyLength = keyWritable.getLength(); @@ -475,6 +475,9 @@ private void processVectorRow(Object key, final Object value) throws IOException if (batch.size >= batch.getMaxSize() || batch.size > 0 && batchBytes >= BATCH_BYTES) { + // We have a row for current group, so we indicate not the last batch. + reducer.setNextVectorBatchGroupStatus(/* isLastGroupBatch */ false); + // Batch is full or using too much space. forwardBatch(/* resetValueColumnsOnly */ true); } @@ -581,10 +584,13 @@ public void close() { try { if (vectorized) { if (batch.size > 0) { - forwardBatch(/* resetValueColumnsOnly */ false); + if (handleGroupKey) { - reducer.endGroup(); + // Indicate last batch of current group. + reducer.setNextVectorBatchGroupStatus(/* isLastGroupBatch */ true); } + + forwardBatch(/* resetValueColumnsOnly */ false); } } else { if (groupKey != null) { diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/tez/ReduceRecordSource.java ql/src/java/org/apache/hadoop/hive/ql/exec/tez/ReduceRecordSource.java index 43f9db3..bdde81a 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/tez/ReduceRecordSource.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/tez/ReduceRecordSource.java @@ -369,20 +369,6 @@ private boolean pushRecordVector() { BytesWritable keyWritable = (BytesWritable) reader.getCurrentKey(); valueWritables = reader.getCurrentValues(); - // Check if this is a new group or same group - if (handleGroupKey && !keyWritable.equals(this.groupKey)) { - // If a operator wants to do some work at the beginning of a group - if (groupKey == null) { // the first group - this.groupKey = new BytesWritable(); - } else { - // If a operator wants to do some work at the end of a group - reducer.endGroup(); - } - - groupKey.set(keyWritable.getBytes(), 0, keyWritable.getLength()); - reducer.startGroup(); - } - processVectorGroup(keyWritable, valueWritables, tag); return true; } catch (Throwable e) { @@ -398,15 +384,20 @@ private boolean pushRecordVector() { } /** + * + * @param keyWritable * @param values - * @return true if it is not done and can take more inputs + * @param tag + * @throws HiveException + * @throws IOException */ private void processVectorGroup(BytesWritable keyWritable, Iterable values, byte tag) throws HiveException, IOException { + Preconditions.checkState(batch.size == 0); + // Deserialize key into vector row columns. - // Since we referencing byte column vector byte arrays by reference, we don't need - // a data buffer. + // byte[] keyBytes = keyWritable.getBytes(); int keyLength = keyWritable.getLength(); @@ -432,21 +423,14 @@ private void processVectorGroup(BytesWritable keyWritable, int batchBytes = keyBytes.length; try { for (Object value : values) { - if (valueLazyBinaryDeserializeToRow != null) { - // Deserialize value into vector row columns. - BytesWritable valueWritable = (BytesWritable) value; - byte[] valueBytes = valueWritable.getBytes(); - int valueLength = valueWritable.getLength(); - batchBytes += valueLength; - - valueLazyBinaryDeserializeToRow.setBytes(valueBytes, 0, valueLength); - valueLazyBinaryDeserializeToRow.deserialize(batch, rowIdx); - } - rowIdx++; - if (rowIdx >= maxSize || batchBytes >= BATCH_BYTES) { + if (rowIdx >= maxSize || + (rowIdx > 0 && batchBytes >= BATCH_BYTES)) { - // Batch is full. + // Batch is full AND we have at least 1 more row... batch.size = rowIdx; + if (handleGroupKey) { + reducer.setNextVectorBatchGroupStatus(/* isLastGroupBatch */ false); + } reducer.process(batch, tag); // Reset just the value columns and value buffer. @@ -455,12 +439,26 @@ private void processVectorGroup(BytesWritable keyWritable, batch.cols[i].reset(); } rowIdx = 0; - batchBytes = 0; + batchBytes = keyBytes.length; } + if (valueLazyBinaryDeserializeToRow != null) { + // Deserialize value into vector row columns. + BytesWritable valueWritable = (BytesWritable) value; + byte[] valueBytes = valueWritable.getBytes(); + int valueLength = valueWritable.getLength(); + batchBytes += valueLength; + + valueLazyBinaryDeserializeToRow.setBytes(valueBytes, 0, valueLength); + valueLazyBinaryDeserializeToRow.deserialize(batch, rowIdx); + } + rowIdx++; } if (rowIdx > 0) { // Flush final partial batch. - VectorizedBatchUtil.setBatchSize(batch, rowIdx); + batch.size = rowIdx; + if (handleGroupKey) { + reducer.setNextVectorBatchGroupStatus(/* isLastGroupBatch */ true); + } reducer.process(batch, tag); } batch.reset(); diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java index 613a31a..31f2621 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java @@ -148,8 +148,7 @@ */ private static interface IProcessingMode { public void initialize(Configuration hconf) throws HiveException; - public void startGroup() throws HiveException; - public void endGroup() throws HiveException; + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException; public void processBatch(VectorizedRowBatch batch) throws HiveException; public void close(boolean aborted) throws HiveException; } @@ -159,14 +158,10 @@ */ private abstract class ProcessingModeBase implements IProcessingMode { - // Overridden and used in sorted reduce group batch processing mode. + // Overridden and used in ProcessingModeReduceMergePartial mode. @Override - public void startGroup() throws HiveException { - // Do nothing. - } - @Override - public void endGroup() throws HiveException { - // Do nothing. + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + // Some Spark plans cause Hash and other modes to get this. So, ignore it. } protected abstract void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, @@ -258,6 +253,11 @@ public void initialize(Configuration hconf) throws HiveException { } @Override + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + // Do nothing. + } + + @Override public void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, boolean[] currentGroupingSetsOverrideIsNulls) throws HiveException { for (int i = 0; i < aggregators.length; ++i) { @@ -682,6 +682,11 @@ public void free(VectorAggregationBufferRow t) { } @Override + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + // Do nothing. + } + + @Override public void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, boolean[] currentGroupingSetsOverrideIsNulls) throws HiveException { @@ -770,8 +775,8 @@ public void close(boolean aborted) throws HiveException { */ private class ProcessingModeReduceMergePartial extends ProcessingModeBase { - private boolean inGroup; private boolean first; + private boolean isLastGroupBatch; /** * The group vector key helper. @@ -790,7 +795,7 @@ public void close(boolean aborted) throws HiveException { @Override public void initialize(Configuration hconf) throws HiveException { - inGroup = false; + isLastGroupBatch = true; // We do not include the dummy grouping set column in the output. So we pass outputKeyLength // instead of keyExpressions.length @@ -802,24 +807,18 @@ public void initialize(Configuration hconf) throws HiveException { } @Override - public void startGroup() throws HiveException { - inGroup = true; - first = true; - } - - @Override - public void endGroup() throws HiveException { - if (inGroup && !first) { - writeGroupRow(groupAggregators, buffer); - groupAggregators.reset(); + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + if (this.isLastGroupBatch) { + // Previous batch was the last of a group of batches. Remember the next is the first batch + // of a new group of batches. + first = true; } - inGroup = false; + this.isLastGroupBatch = isLastGroupBatch; } @Override public void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, boolean[] currentGroupingSetsOverrideIsNulls) throws HiveException { - assert(inGroup); if (first) { // Copy the group key to output batch now. We'll copy in the aggregates at the end of the group. first = false; @@ -836,11 +835,16 @@ public void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, for (int i = 0; i < aggregators.length; ++i) { aggregators[i].aggregateInput(groupAggregators.getAggregationBuffer(i), batch); } + + if (isLastGroupBatch) { + writeGroupRow(groupAggregators, buffer); + groupAggregators.reset(); + } } @Override public void close(boolean aborted) throws HiveException { - if (!aborted && inGroup && !first) { + if (!aborted && !first && !isLastGroupBatch) { writeGroupRow(groupAggregators, buffer); } } @@ -1013,21 +1017,26 @@ private void changeToStreamingMode() throws HiveException { } @Override + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + processingMode.setNextVectorBatchGroupStatus(isLastGroupBatch); + } + + @Override public void startGroup() throws HiveException { - processingMode.startGroup(); // We do not call startGroup on operators below because we are batching rows in // an output batch and the semantics will not work. // super.startGroup(); + throw new HiveException("Unexpected startGroup"); } @Override public void endGroup() throws HiveException { - processingMode.endGroup(); // We do not call endGroup on operators below because we are batching rows in // an output batch and the semantics will not work. // super.endGroup(); + throw new HiveException("Unexpected startGroup"); } @Override diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSelectOperator.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSelectOperator.java index 17ccf21..5f1f952 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSelectOperator.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSelectOperator.java @@ -110,6 +110,14 @@ protected void initializeOp(Configuration hconf) throws HiveException { outputFieldNames, objectInspectors); } + // Must send on to VectorPTFOperator... + @Override + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + for (Operator op : childOperators) { + op.setNextVectorBatchGroupStatus(isLastGroupBatch); + } + } + @Override public void process(Object row, int tag) throws HiveException { diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java index 503bd0c..9e026f0 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java @@ -432,7 +432,7 @@ protected boolean needsImplicitCastForDecimal(GenericUDF udf) { return udfsNeedingImplicitDecimalCast.contains(udfClass); } - protected int getInputColumnIndex(String name) throws HiveException { + public int getInputColumnIndex(String name) throws HiveException { if (name == null) { throw new HiveException("Null column name"); } @@ -464,7 +464,7 @@ protected OutputColumnManager(int initialOutputCol) { private final Set usedOutputColumns = new HashSet(); - int allocateOutputColumn(TypeInfo typeInfo) throws HiveException { + int allocateOutputColumn(TypeInfo typeInfo) { if (initialOutputCol < 0) { // This is a test calling. return 0; @@ -525,7 +525,7 @@ void freeOutputColumn(int index) { } } - public int allocateScratchColumn(TypeInfo typeInfo) throws HiveException { + public int allocateScratchColumn(TypeInfo typeInfo) { return ocm.allocateOutputColumn(typeInfo); } @@ -2672,8 +2672,7 @@ private Timestamp evaluateCastToTimestamp(ExprNodeDesc expr) throws HiveExceptio } } - static String getScratchName(TypeInfo typeInfo) throws HiveException { - + static String getScratchName(TypeInfo typeInfo) { // For now, leave DECIMAL precision/scale in the name so DecimalColumnVector scratch columns // don't need their precision/scale adjusted... if (typeInfo.getCategory() == Category.PRIMITIVE && diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedBatchUtil.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedBatchUtil.java index 990e896..03c09e7 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedBatchUtil.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedBatchUtil.java @@ -579,7 +579,7 @@ public static StandardStructObjectInspector convertToStandardStructObjectInspect return typeInfoList.toArray(new TypeInfo[0]); } - static ColumnVector cloneColumnVector(ColumnVector source + public static ColumnVector makeLikeColumnVector(ColumnVector source ) throws HiveException{ if (source instanceof LongColumnVector) { return new LongColumnVector(((LongColumnVector) source).vector.length); @@ -598,25 +598,25 @@ static ColumnVector cloneColumnVector(ColumnVector source return new IntervalDayTimeColumnVector(((IntervalDayTimeColumnVector) source).getLength()); } else if (source instanceof ListColumnVector) { ListColumnVector src = (ListColumnVector) source; - ColumnVector child = cloneColumnVector(src.child); + ColumnVector child = makeLikeColumnVector(src.child); return new ListColumnVector(src.offsets.length, child); } else if (source instanceof MapColumnVector) { MapColumnVector src = (MapColumnVector) source; - ColumnVector keys = cloneColumnVector(src.keys); - ColumnVector values = cloneColumnVector(src.values); + ColumnVector keys = makeLikeColumnVector(src.keys); + ColumnVector values = makeLikeColumnVector(src.values); return new MapColumnVector(src.offsets.length, keys, values); } else if (source instanceof StructColumnVector) { StructColumnVector src = (StructColumnVector) source; ColumnVector[] copy = new ColumnVector[src.fields.length]; for(int i=0; i < copy.length; ++i) { - copy[i] = cloneColumnVector(src.fields[i]); + copy[i] = makeLikeColumnVector(src.fields[i]); } return new StructColumnVector(VectorizedRowBatch.DEFAULT_SIZE, copy); } else if (source instanceof UnionColumnVector) { UnionColumnVector src = (UnionColumnVector) source; ColumnVector[] copy = new ColumnVector[src.fields.length]; for(int i=0; i < copy.length; ++i) { - copy[i] = cloneColumnVector(src.fields[i]); + copy[i] = makeLikeColumnVector(src.fields[i]); } return new UnionColumnVector(src.tags.length, copy); } else @@ -625,6 +625,53 @@ static ColumnVector cloneColumnVector(ColumnVector source " is not supported!"); } + public static void swapColumnVector( + VectorizedRowBatch batch1, int batch1ColumnNum, + VectorizedRowBatch batch2, int batch2ColumnNum) { + ColumnVector colVector1 = batch1.cols[batch1ColumnNum]; + batch1.cols[batch1ColumnNum] = batch2.cols[batch2ColumnNum]; + batch2.cols[batch2ColumnNum] = colVector1; + } + + public static void copyRepeatingColumn(VectorizedRowBatch sourceBatch, int sourceColumnNum, + VectorizedRowBatch targetBatch, int targetColumnNum, boolean setByValue) { + ColumnVector sourceColVector = sourceBatch.cols[sourceColumnNum]; + ColumnVector targetColVector = targetBatch.cols[targetColumnNum]; + + targetColVector.isRepeating = true; + + if (!sourceColVector.noNulls) { + targetColVector.noNulls = false; + targetColVector.isNull[0] = true; + return; + } + + if (sourceColVector instanceof LongColumnVector) { + ((LongColumnVector) targetColVector).vector[0] = ((LongColumnVector) sourceColVector).vector[0]; + } else if (sourceColVector instanceof DoubleColumnVector) { + ((DoubleColumnVector) targetColVector).vector[0] = ((DoubleColumnVector) sourceColVector).vector[0]; + } else if (sourceColVector instanceof BytesColumnVector) { + BytesColumnVector bytesColVector = (BytesColumnVector) sourceColVector; + byte[] bytes = bytesColVector.vector[0]; + final int start = bytesColVector.start[0]; + final int length = bytesColVector.length[0]; + if (setByValue) { + ((BytesColumnVector) targetColVector).setVal(0, bytes, start, length); + } else { + ((BytesColumnVector) targetColVector).setRef(0, bytes, start, length); + } + } else if (sourceColVector instanceof DecimalColumnVector) { + ((DecimalColumnVector) targetColVector).set(0, ((DecimalColumnVector) sourceColVector).vector[0]); + } else if (sourceColVector instanceof TimestampColumnVector) { + ((TimestampColumnVector) targetColVector).set(0, ((TimestampColumnVector) sourceColVector).asScratchTimestamp(0)); + } else if (sourceColVector instanceof IntervalDayTimeColumnVector) { + ((IntervalDayTimeColumnVector) targetColVector).set(0, ((IntervalDayTimeColumnVector) sourceColVector).asScratchIntervalDayTime(0)); + } else { + throw new RuntimeException("Column vector class " + sourceColVector.getClass().getName() + + " is not supported!"); + } + } + /** * Make a new (scratch) batch, which is exactly "like" the batch provided, except that it's empty * @param batch the batch to imitate @@ -635,7 +682,7 @@ public static VectorizedRowBatch makeLike(VectorizedRowBatch batch) throws HiveE VectorizedRowBatch newBatch = new VectorizedRowBatch(batch.numCols); for (int i = 0; i < batch.numCols; i++) { if (batch.cols[i] != null) { - newBatch.cols[i] = cloneColumnVector(batch.cols[i]); + newBatch.cols[i] = makeLikeColumnVector(batch.cols[i]); newBatch.cols[i].init(); } } diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorBase.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorBase.java new file mode 100644 index 0000000..beca5f9 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorBase.java @@ -0,0 +1,122 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.expressions.IdentityExpression; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +/** + * This is the vector PTF evaluator base class. An evaluator does the group batch aggregation work + * on an aggregation's 0 or 1 argument(s) and at some point will fill in an output column with the + * aggregation result. The aggregation argument is an input column or expression, or no argument. + * + * When the aggregation is streaming (e.g. row_number, rank, first_value, etc), the output column + * can be filled in immediately by the implementation of evaluateGroupBatch. + * + * For non-streaming aggregations, the aggregation result is not known until the last group batch + * is processed. After the last group batch has been processed, the VectorPTFGroupBatches class + * will call the isGroupResultNull, getResultColumnVectorType, getLongGroupResult | + * getDoubleGroupResult | getDecimalGroupResult, and getOutputColumnNum methods to get aggregation + * result information necessary to write it into the output column (as a repeated column) of all + * the group batches. + */ +public abstract class VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorBase.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected final WindowFrameDef windowFrameDef; + private final VectorExpression inputVecExpr; + protected final int inputColumnNum; + protected final int outputColumnNum; + + public VectorPTFEvaluatorBase(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + this.windowFrameDef = windowFrameDef; + if (inputVecExpr == null) { + inputColumnNum = -1; + this.inputVecExpr = null; + } else { + inputColumnNum = inputVecExpr.getOutputColumn(); + if (inputVecExpr instanceof IdentityExpression) { + this.inputVecExpr = null; + } else { + this.inputVecExpr = inputVecExpr; + } + } + this.outputColumnNum = outputColumnNum; + } + + // Evaluate the aggregation input argument expression. + public void evaluateInputExpr(VectorizedRowBatch batch) { + if (inputVecExpr != null) { + inputVecExpr.evaluate(batch); + } + } + + // Evaluate the aggregation over one of the group's batches. + public abstract void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch); + + // Returns true if the aggregation result will be streamed. + public boolean streamsResult() { + // Assume it is not streamjng by default. + return false; + } + + public int getOutputColumnNum() { + return outputColumnNum; + } + + // After processing all the group's batches with evaluateGroupBatch, is the non-streaming + // aggregation result null? + public boolean isGroupResultNull() { + return false; + } + + // What is the ColumnVector type of the aggregation result? + public abstract Type getResultColumnVectorType(); + + /* + * After processing all the non-streaming group's batches with evaluateGroupBatch and + * isGroupResultNull is false, the aggregation result value (based on getResultColumnVectorType). + */ + + public long getLongGroupResult() { + throw new RuntimeException("No long group result evaluator implementation " + this.getClass().getName()); + } + + public double getDoubleGroupResult() { + throw new RuntimeException("No double group result evaluator implementation " + this.getClass().getName()); + } + + public HiveDecimalWritable getDecimalGroupResult() { + throw new RuntimeException("No decimal group result evaluator implementation " + this.getClass().getName()); + } + + // Resets the aggregation calculation variable(s). + public abstract void resetEvaluator(); +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCount.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCount.java new file mode 100644 index 0000000..638fc9e --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCount.java @@ -0,0 +1,108 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates count(column) for a PTF group. + * + * Count any rows of the group where the input column/expression is non-null. + */ +public class VectorPTFEvaluatorCount extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorCount.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected long count; + + public VectorPTFEvaluatorCount(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Count non-null column rows. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + ColumnVector colVector = batch.cols[inputColumnNum]; + if (colVector.isRepeating) { + if (colVector.noNulls) { + count += size; + } + } else if (colVector.noNulls) { + count += size; + } else { + boolean[] batchIsNull = colVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + long varCount = 1; + i++; + for (; i < size; i++) { + if (!batchIsNull[i]) { + varCount++; + } + } + count += varCount; + } + } + + @Override + public boolean isGroupResultNull() { + return false; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return count; + } + + @Override + public void resetEvaluator() { + count = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCountStar.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCountStar.java new file mode 100644 index 0000000..cf8e626 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorCountStar.java @@ -0,0 +1,79 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates count(*) for a PTF group. + * + * Count all rows of the group. No input column/expression. + */ +public class VectorPTFEvaluatorCountStar extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorCountStar.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected long count; + + public VectorPTFEvaluatorCountStar(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + // No input expression for COUNT(*). + // evaluateInputExpr(batch); + + // Count all rows. + + count += batch.size; + } + + @Override + public boolean isGroupResultNull() { + return false; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return count; + } + + @Override + public void resetEvaluator() { + count = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalAvg.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalAvg.java new file mode 100644 index 0000000..599e73b --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalAvg.java @@ -0,0 +1,162 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal avg() for a PTF group. + * + * Sum up non-null column values; group result is sum / non-null count. + */ +public class VectorPTFEvaluatorDecimalAvg extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalAvg.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected HiveDecimalWritable sum; + private int nonNullGroupCount; + private HiveDecimalWritable temp; + private HiveDecimalWritable avg; + + public VectorPTFEvaluatorDecimalAvg(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + sum = new HiveDecimalWritable(); + temp = new HiveDecimalWritable(); + avg = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null decimal column values for avg; maintain isGroupResultNull; after last row of + // last group batch compute the group avg when sum is non-null. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + + if (decimalColVector.noNulls) { + + // We have a repeated value. The sum increases by value * batch.size. + temp.setFromLong(batch.size); + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(decimalColVector.vector[0]); + sum.mutateMultiply(temp); + isGroupResultNull = false; + } else { + temp.mutateMultiply(decimalColVector.vector[0]); + sum.mutateAdd(temp); + } + nonNullGroupCount += size; + } + } else if (decimalColVector.noNulls) { + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(vector[0]); + isGroupResultNull = false; + } else { + sum.mutateAdd(vector[0]); + } + for (int i = 1; i < size; i++) { + sum.mutateAdd(vector[i]); + } + nonNullGroupCount += size; + } else { + boolean[] batchIsNull = decimalColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(vector[i++]); + isGroupResultNull = false; + } else { + sum.mutateAdd(vector[i++]); + } + nonNullGroupCount++; + for (; i < size; i++) { + if (!batchIsNull[i]) { + sum.mutateAdd(vector[i]); + nonNullGroupCount++; + } + } + } + + if (isLastGroupBatch) { + if (!isGroupResultNull) { + avg.set(sum); + temp.setFromLong(nonNullGroupCount); + avg.mutateDivide(temp); + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public HiveDecimalWritable getDecimalGroupResult() { + return avg; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum.set(HiveDecimal.ZERO); + nonNullGroupCount = 0; + avg.set(HiveDecimal.ZERO); + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalFirstValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalFirstValue.java new file mode 100644 index 0000000..01a8c53 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalFirstValue.java @@ -0,0 +1,117 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.FastHiveDecimal; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal first_value() for a PTF group. + * + * We capture the first value from the first batch. It can be NULL. + * We then set (stream) the output column with that value as repeated in each batch. + */ +public class VectorPTFEvaluatorDecimalFirstValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalFirstValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean haveFirstValue; + protected boolean isGroupResultNull; + protected HiveDecimalWritable firstValue; + + public VectorPTFEvaluatorDecimalFirstValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + firstValue = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // First row determines isGroupResultNull and decimal firstValue; stream fill result as repeated. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!haveFirstValue) { + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + if (decimalColVector.noNulls) { + firstValue.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } + } else if (decimalColVector.noNulls) { + firstValue.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } else { + if (!decimalColVector.isNull[0]) { + firstValue.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } + } + haveFirstValue = true; + } + + // First value is repeated for all batches. + DecimalColumnVector outputColVector = (DecimalColumnVector) batch.cols[outputColumnNum]; + outputColVector.isRepeating = true; + if (isGroupResultNull) { + outputColVector.noNulls = false; + outputColVector.isNull[0] = true; + } else { + outputColVector.noNulls = true; + outputColVector.isNull[0] = false; + outputColVector.vector[0].set(firstValue); + } + } + + public boolean streamsResult() { + return true; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public void resetEvaluator() { + haveFirstValue = false; + isGroupResultNull = true; + firstValue.set(HiveDecimal.ZERO); + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalLastValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalLastValue.java new file mode 100644 index 0000000..8a50476 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalLastValue.java @@ -0,0 +1,113 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.FastHiveDecimal; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal last_value() for a PTF group. + * + * We capture the last value from the last batch. It can be NULL. + * It becomes the group value. + */ +public class VectorPTFEvaluatorDecimalLastValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalLastValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected HiveDecimalWritable lastValue; + + public VectorPTFEvaluatorDecimalLastValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + lastValue = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Last row of last batch determines isGroupResultNull and decimal lastValue. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!isLastGroupBatch) { + return; + } + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + if (decimalColVector.noNulls) { + lastValue.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } else if (decimalColVector.noNulls) { + lastValue.set(decimalColVector.vector[size - 1]); + isGroupResultNull = false; + } else { + final int lastBatchIndex = size - 1; + if (!decimalColVector.isNull[lastBatchIndex]) { + lastValue.set(decimalColVector.vector[lastBatchIndex]); + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public HiveDecimalWritable getDecimalGroupResult() { + return lastValue; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + lastValue.set(HiveDecimal.ZERO); + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMax.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMax.java new file mode 100644 index 0000000..3c59268 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMax.java @@ -0,0 +1,146 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.FastHiveDecimal; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal max() for a PTF group. + */ +public class VectorPTFEvaluatorDecimalMax extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalMax.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected HiveDecimalWritable max; + + public VectorPTFEvaluatorDecimalMax(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + max = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine maximum of all non-null decimal column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + if (decimalColVector.noNulls) { + if (isGroupResultNull) { + max.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } else { + HiveDecimalWritable repeatedMax = decimalColVector.vector[0]; + if (repeatedMax.compareTo(max) == 1) { + max.set(repeatedMax); + } + } + } + } else if (decimalColVector.noNulls) { + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + max.set(vector[0]); + isGroupResultNull = false; + } else { + final HiveDecimalWritable dec = vector[0]; + if (dec.compareTo(max) == 1) { + max.set(dec); + } + } + for (int i = 1; i < size; i++) { + final HiveDecimalWritable dec = vector[i]; + if (dec.compareTo(max) == 1) { + max.set(dec); + } + } + } else { + boolean[] batchIsNull = decimalColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + max.set(vector[i++]); + isGroupResultNull = false; + } else { + final HiveDecimalWritable dec = vector[i++]; + if (dec.compareTo(max) == 1) { + max.set(dec); + } + } + for (; i < size; i++) { + if (!batchIsNull[i]) { + final HiveDecimalWritable dec = vector[i]; + if (dec.compareTo(max) == 1) { + max.set(dec); + } + } + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public HiveDecimalWritable getDecimalGroupResult() { + return max; + } + + private static HiveDecimal MIN_VALUE = HiveDecimal.create("-99999999999999999999999999999999999999"); + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + max.set(MIN_VALUE); + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMin.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMin.java new file mode 100644 index 0000000..0f7ea04 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalMin.java @@ -0,0 +1,146 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.FastHiveDecimal; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal min() for a PTF group. + */ +public class VectorPTFEvaluatorDecimalMin extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalMin.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected HiveDecimalWritable min; + + public VectorPTFEvaluatorDecimalMin(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + min = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine minimum of all non-null decimal column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + if (decimalColVector.noNulls) { + if (isGroupResultNull) { + min.set(decimalColVector.vector[0]); + isGroupResultNull = false; + } else { + HiveDecimalWritable repeatedMin = decimalColVector.vector[0]; + if (repeatedMin.compareTo(min) == -1) { + min.set(repeatedMin); + } + } + } + } else if (decimalColVector.noNulls) { + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + min.set(vector[0]); + isGroupResultNull = false; + } else { + final HiveDecimalWritable dec = vector[0]; + if (dec.compareTo(min) == -1) { + min.set(dec); + } + } + for (int i = 1; i < size; i++) { + final HiveDecimalWritable dec = vector[i]; + if (dec.compareTo(min) == -1) { + min.set(dec); + } + } + } else { + boolean[] batchIsNull = decimalColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + min.set(vector[i++]); + isGroupResultNull = false; + } else { + final HiveDecimalWritable dec = vector[i++]; + if (dec.compareTo(min) == -1) { + min.set(dec); + } + } + for (; i < size; i++) { + if (!batchIsNull[i]) { + final HiveDecimalWritable dec = vector[i]; + if (dec.compareTo(min) == -1) { + min.set(dec); + } + } + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public HiveDecimalWritable getDecimalGroupResult() { + return min; + } + + private static HiveDecimal MAX_VALUE = HiveDecimal.create("99999999999999999999999999999999999999"); + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + min.set(MAX_VALUE); + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalSum.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalSum.java new file mode 100644 index 0000000..8300781 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDecimalSum.java @@ -0,0 +1,140 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.common.type.HiveDecimal; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates HiveDecimal sum() for a PTF group. + */ +public class VectorPTFEvaluatorDecimalSum extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDecimalSum.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected HiveDecimalWritable sum; + protected HiveDecimalWritable temp; + + public VectorPTFEvaluatorDecimalSum(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + sum = new HiveDecimalWritable(); + temp = new HiveDecimalWritable(); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null decimal column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DecimalColumnVector decimalColVector = ((DecimalColumnVector) batch.cols[inputColumnNum]); + if (decimalColVector.isRepeating) { + + if (decimalColVector.noNulls) { + temp.setFromLong(batch.size); + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(decimalColVector.vector[0]); + sum.mutateMultiply(temp); + isGroupResultNull = false; + } else { + temp.mutateMultiply(decimalColVector.vector[0]); + sum.mutateAdd(temp); + } + } + } else if (decimalColVector.noNulls) { + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(vector[0]); + isGroupResultNull = false; + } else { + sum.mutateAdd(vector[0]); + } + for (int i = 1; i < size; i++) { + sum.mutateAdd(vector[i]); + } + } else { + boolean[] batchIsNull = decimalColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + HiveDecimalWritable[] vector = decimalColVector.vector; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum.set(vector[i++]); + isGroupResultNull = false; + } else { + sum.mutateAdd(vector[i++]); + } + for (; i < size; i++) { + if (!batchIsNull[i]) { + sum.mutateAdd(vector[i]); + } + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DECIMAL; + } + + @Override + public HiveDecimalWritable getDecimalGroupResult() { + return sum; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum.set(HiveDecimal.ZERO);; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDenseRank.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDenseRank.java new file mode 100644 index 0000000..62f7aa5 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDenseRank.java @@ -0,0 +1,77 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +/** + * This class evaluates rank() for a PTF group. + * + * Dense rank starts at 1; the same dense rank is streamed to the output column as repeated; after + * the last group row, the dense rank incremented by 1. + */ +public class VectorPTFEvaluatorDenseRank extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDenseRank.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + private int denseRank; + + public VectorPTFEvaluatorDenseRank(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + LongColumnVector longColVector = (LongColumnVector) batch.cols[outputColumnNum]; + longColVector.isRepeating = true; + longColVector.noNulls = true; + longColVector.isNull[0] = false; + longColVector.vector[0] = denseRank; + + if (isLastGroupBatch) { + denseRank++; + } + } + + public boolean streamsResult() { + // No group value. + return true; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public void resetEvaluator() { + denseRank = 1; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleAvg.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleAvg.java new file mode 100644 index 0000000..2c379d7 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleAvg.java @@ -0,0 +1,153 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double avg() for a PTF group. + * + * Sum up non-null column values; group result is sum / non-null count. + */ +public class VectorPTFEvaluatorDoubleAvg extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleAvg.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected double sum; + private int nonNullGroupCount; + private double avg; + + public VectorPTFEvaluatorDoubleAvg(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null double column values for avg; maintain isGroupResultNull; after last row of + // last group batch compute the group avg when sum is non-null. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + + if (doubleColVector.noNulls) { + + // We have a repeated value. The sum increases by value * batch.size. + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = doubleColVector.vector[0] * batch.size; + isGroupResultNull = false; + } else { + sum += doubleColVector.vector[0] * batch.size; + } + nonNullGroupCount += size; + } + } else if (doubleColVector.noNulls) { + double[] vector = doubleColVector.vector; + double varSum = vector[0]; + for (int i = 1; i < size; i++) { + varSum += vector[i]; + } + nonNullGroupCount += size; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } else { + boolean[] batchIsNull = doubleColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + double[] vector = doubleColVector.vector; + double varSum = vector[i++]; + nonNullGroupCount++; + for (; i < size; i++) { + if (!batchIsNull[i]) { + varSum += vector[i]; + nonNullGroupCount++; + } + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } + + if (isLastGroupBatch) { + if (!isGroupResultNull) { + avg = sum / nonNullGroupCount; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return avg; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum = 0.0; + nonNullGroupCount = 0; + avg = 0.0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleFirstValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleFirstValue.java new file mode 100644 index 0000000..f9d819d --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleFirstValue.java @@ -0,0 +1,113 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double first_value() for a PTF group. + * + * We capture the first value from the first batch. It can be NULL. + * We then set (stream) the output column with that value as repeated in each batch. + */ +public class VectorPTFEvaluatorDoubleFirstValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleFirstValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean haveFirstValue; + protected boolean isGroupResultNull; + protected double firstValue; + + public VectorPTFEvaluatorDoubleFirstValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // First row determines isGroupResultNull and double firstValue; stream fill result as repeated. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!haveFirstValue) { + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + if (doubleColVector.noNulls) { + firstValue = doubleColVector.vector[0]; + isGroupResultNull = false; + } + } else if (doubleColVector.noNulls) { + firstValue = doubleColVector.vector[0]; + isGroupResultNull = false; + } else { + if (!doubleColVector.isNull[0]) { + firstValue = doubleColVector.vector[0]; + isGroupResultNull = false; + } + } + haveFirstValue = true; + } + + // First value is repeated for all batches. + DoubleColumnVector outputColVector = (DoubleColumnVector) batch.cols[outputColumnNum]; + outputColVector.isRepeating = true; + if (isGroupResultNull) { + outputColVector.noNulls = false; + outputColVector.isNull[0] = true; + } else { + outputColVector.noNulls = true; + outputColVector.isNull[0] = false; + outputColVector.vector[0] = firstValue; + } + } + + public boolean streamsResult() { + return true; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public void resetEvaluator() { + haveFirstValue = false; + isGroupResultNull = true; + firstValue = 0.0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleLastValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleLastValue.java new file mode 100644 index 0000000..dea3558 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleLastValue.java @@ -0,0 +1,109 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double first_value() for a PTF group. + * + * We capture the last value from the last batch. It can be NULL. + * It becomes the group value. + */ +public class VectorPTFEvaluatorDoubleLastValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleLastValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected double lastValue; + + public VectorPTFEvaluatorDoubleLastValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Last row of last batch determines isGroupResultNull and double lastValue. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!isLastGroupBatch) { + return; + } + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + if (doubleColVector.noNulls) { + lastValue = doubleColVector.vector[0]; + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } else if (doubleColVector.noNulls) { + lastValue = doubleColVector.vector[size - 1]; + isGroupResultNull = false; + } else { + final int lastBatchIndex = size - 1; + if (!doubleColVector.isNull[lastBatchIndex]) { + lastValue = doubleColVector.vector[lastBatchIndex]; + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return lastValue; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + lastValue = 0.0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMax.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMax.java new file mode 100644 index 0000000..3210e18 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMax.java @@ -0,0 +1,136 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double max() for a PTF group. + */ +public class VectorPTFEvaluatorDoubleMax extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleMax.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected double max; + + public VectorPTFEvaluatorDoubleMax(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine maximum of all non-null double column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + if (doubleColVector.noNulls) { + if (isGroupResultNull) { + max = doubleColVector.vector[0]; + isGroupResultNull = false; + } else { + final double repeatedMax = doubleColVector.vector[0]; + if (repeatedMax < max) { + max = repeatedMax; + } + } + } + } else if (doubleColVector.noNulls) { + double[] vector = doubleColVector.vector; + double varMax = vector[0]; + for (int i = 1; i < size; i++) { + final double d = vector[i]; + if (d > varMax) { + varMax = d; + } + } + if (isGroupResultNull) { + max = varMax; + isGroupResultNull = false; + } else if (varMax > max) { + max = varMax; + } + } else { + boolean[] batchIsNull = doubleColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + double[] vector = doubleColVector.vector; + double varMax = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + final double d = vector[i]; + if (d > varMax) { + varMax = d; + } + } + } + if (isGroupResultNull) { + max = varMax; + isGroupResultNull = false; + } else if (varMax > max) { + max = varMax; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return max; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + max = Double.MIN_VALUE; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMin.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMin.java new file mode 100644 index 0000000..d5a35ff --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleMin.java @@ -0,0 +1,136 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double min() for a PTF group. + */ +public class VectorPTFEvaluatorDoubleMin extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleMin.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected double min; + + public VectorPTFEvaluatorDoubleMin(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine minimum of all non-null double column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + if (doubleColVector.noNulls) { + if (isGroupResultNull) { + min = doubleColVector.vector[0]; + isGroupResultNull = false; + } else { + final double repeatedMin = doubleColVector.vector[0]; + if (repeatedMin < min) { + min = repeatedMin; + } + } + } + } else if (doubleColVector.noNulls) { + double[] vector = doubleColVector.vector; + double varMin = vector[0]; + for (int i = 1; i < size; i++) { + final double d = vector[i]; + if (d < varMin) { + varMin = d; + } + } + if (isGroupResultNull) { + min = varMin; + isGroupResultNull = false; + } else if (varMin < min) { + min = varMin; + } + } else { + boolean[] batchIsNull = doubleColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + double[] vector = doubleColVector.vector; + double varMin = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + final double d = vector[i]; + if (d < varMin) { + varMin = d; + } + } + } + if (isGroupResultNull) { + min = varMin; + isGroupResultNull = false; + } else if (varMin < min) { + min = varMin; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return min; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + min = Double.MAX_VALUE; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleSum.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleSum.java new file mode 100644 index 0000000..45cc0ca --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorDoubleSum.java @@ -0,0 +1,134 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates double sum() for a PTF group. + */ +public class VectorPTFEvaluatorDoubleSum extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorDoubleSum.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected double sum; + + public VectorPTFEvaluatorDoubleSum(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null double column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + DoubleColumnVector doubleColVector = ((DoubleColumnVector) batch.cols[inputColumnNum]); + if (doubleColVector.isRepeating) { + + if (doubleColVector.noNulls) { + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = doubleColVector.vector[0] * batch.size; + isGroupResultNull = false; + } else { + sum += doubleColVector.vector[0] * batch.size; + } + } + } else if (doubleColVector.noNulls) { + double[] vector = doubleColVector.vector; + double varSum = vector[0]; + for (int i = 1; i < size; i++) { + varSum += vector[i]; + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } else { + boolean[] batchIsNull = doubleColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + double[] vector = doubleColVector.vector; + double varSum = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + varSum += vector[i]; + } + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return sum; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum = 0.0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongAvg.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongAvg.java new file mode 100644 index 0000000..2bfc12e --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongAvg.java @@ -0,0 +1,153 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long avg() for a PTF group. + * + * Sum up non-null column values; group result is sum / non-null count. + */ +public class VectorPTFEvaluatorLongAvg extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongAvg.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected long sum; + private int nonNullGroupCount; + private double avg; + + public VectorPTFEvaluatorLongAvg(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null long column values for avg; maintain isGroupResultNull; after last row of + // last group batch compute the group avg when sum is non-null. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + + if (longColVector.noNulls) { + + // We have a repeated value. The sum increases by value * batch.size. + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = longColVector.vector[0] * batch.size; + isGroupResultNull = false; + } else { + sum += longColVector.vector[0] * batch.size; + } + nonNullGroupCount += size; + } + } else if (longColVector.noNulls) { + long[] vector = longColVector.vector; + long varSum = vector[0]; + for (int i = 1; i < size; i++) { + varSum += vector[i]; + } + nonNullGroupCount += size; + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } else { + boolean[] batchIsNull = longColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + long[] vector = longColVector.vector; + long varSum = vector[i++]; + nonNullGroupCount++; + for (; i < size; i++) { + if (!batchIsNull[i]) { + varSum += vector[i]; + nonNullGroupCount++; + } + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } + + if (isLastGroupBatch) { + if (!isGroupResultNull) { + avg = ((double) sum) / nonNullGroupCount; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.DOUBLE; + } + + @Override + public double getDoubleGroupResult() { + return avg; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum = 0; + nonNullGroupCount = 0; + avg = 0.0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongFirstValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongFirstValue.java new file mode 100644 index 0000000..96833ba --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongFirstValue.java @@ -0,0 +1,113 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long first_value() for a PTF group. + * + * We capture the first value from the first batch. It can be NULL. + * We then set (stream) the output column with that value as repeated in each batch. + */ +public class VectorPTFEvaluatorLongFirstValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongFirstValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean haveFirstValue; + protected boolean isGroupResultNull; + protected long firstValue; + + public VectorPTFEvaluatorLongFirstValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // First row determines isGroupResultNull and long firstValue; stream fill result as repeated. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!haveFirstValue) { + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + if (longColVector.noNulls) { + firstValue = longColVector.vector[0]; + isGroupResultNull = false; + } + } else if (longColVector.noNulls) { + firstValue = longColVector.vector[0]; + isGroupResultNull = false; + } else { + if (!longColVector.isNull[0]) { + firstValue = longColVector.vector[0]; + isGroupResultNull = false; + } + } + haveFirstValue = true; + } + + // First value is repeated for all batches. + LongColumnVector outputColVector = (LongColumnVector) batch.cols[outputColumnNum]; + outputColVector.isRepeating = true; + if (isGroupResultNull) { + outputColVector.noNulls = false; + outputColVector.isNull[0] = true; + } else { + outputColVector.noNulls = true; + outputColVector.isNull[0] = false; + outputColVector.vector[0] = firstValue; + } + } + + public boolean streamsResult() { + return true; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public void resetEvaluator() { + haveFirstValue = false; + isGroupResultNull = true; + firstValue = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongLastValue.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongLastValue.java new file mode 100644 index 0000000..d7f3c43 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongLastValue.java @@ -0,0 +1,109 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long first_value() for a PTF group. + * + * We capture the last value from the last batch. It can be NULL. + * It becomes the group value. + */ +public class VectorPTFEvaluatorLongLastValue extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongLastValue.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected long lastValue; + + public VectorPTFEvaluatorLongLastValue(WindowFrameDef windowFrameDef, + VectorExpression inputVecExpr, int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Last row of last batch determines isGroupResultNull and long lastValue. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + if (!isLastGroupBatch) { + return; + } + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + if (longColVector.noNulls) { + lastValue = longColVector.vector[0]; + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } else if (longColVector.noNulls) { + lastValue = longColVector.vector[size - 1]; + isGroupResultNull = false; + } else { + final int lastBatchIndex = size - 1; + if (!longColVector.isNull[lastBatchIndex]) { + lastValue = longColVector.vector[lastBatchIndex]; + isGroupResultNull = false; + } else { + isGroupResultNull = true; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return lastValue; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + lastValue = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMax.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMax.java new file mode 100644 index 0000000..6e6e739 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMax.java @@ -0,0 +1,136 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long max() for a PTF group. + */ +public class VectorPTFEvaluatorLongMax extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongMax.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected long max; + + public VectorPTFEvaluatorLongMax(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine maximum of all non-null long column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + if (longColVector.noNulls) { + if (isGroupResultNull) { + max = longColVector.vector[0]; + isGroupResultNull = false; + } else { + final long repeatedMax = longColVector.vector[0]; + if (repeatedMax > max) { + max = repeatedMax; + } + } + } + } else if (longColVector.noNulls) { + long[] vector = longColVector.vector; + long varMax = vector[0]; + for (int i = 1; i < size; i++) { + final long l = vector[i]; + if (l > varMax) { + varMax = l; + } + } + if (isGroupResultNull) { + max = varMax; + isGroupResultNull = false; + } else if (varMax > max) { + max = varMax; + } + } else { + boolean[] batchIsNull = longColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + long[] vector = longColVector.vector; + long varMax = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + final long l = vector[i]; + if (l > varMax) { + varMax = l; + } + } + } + if (isGroupResultNull) { + max = varMax; + isGroupResultNull = false; + } else if (varMax > max) { + max = varMax; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return max; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + max = Long.MIN_VALUE; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMin.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMin.java new file mode 100644 index 0000000..9045334 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongMin.java @@ -0,0 +1,136 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long min() for a PTF group. + */ +public class VectorPTFEvaluatorLongMin extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongMin.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected long min; + + public VectorPTFEvaluatorLongMin(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Determine minimum of all non-null long column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + if (longColVector.noNulls) { + if (isGroupResultNull) { + min = longColVector.vector[0]; + isGroupResultNull = false; + } else { + final long repeatedMin = longColVector.vector[0]; + if (repeatedMin < min) { + min = repeatedMin; + } + } + } + } else if (longColVector.noNulls) { + long[] vector = longColVector.vector; + long varMin = vector[0]; + for (int i = 1; i < size; i++) { + final long l = vector[i]; + if (l < varMin) { + varMin = l; + } + } + if (isGroupResultNull) { + min = varMin; + isGroupResultNull = false; + } else if (varMin < min) { + min = varMin; + } + } else { + boolean[] batchIsNull = longColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + long[] vector = longColVector.vector; + long varMin = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + final long l = vector[i]; + if (l < varMin) { + varMin = l; + } + } + } + if (isGroupResultNull) { + min = varMin; + isGroupResultNull = false; + } else if (varMin < min) { + min = varMin; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return min; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + min = Long.MAX_VALUE; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongSum.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongSum.java new file mode 100644 index 0000000..24be1c0 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorLongSum.java @@ -0,0 +1,134 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +import com.google.common.base.Preconditions; + +/** + * This class evaluates long sum() for a PTF group. + */ +public class VectorPTFEvaluatorLongSum extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorLongSum.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + protected boolean isGroupResultNull; + protected long sum; + + public VectorPTFEvaluatorLongSum(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + // Sum all non-null long column values; maintain isGroupResultNull. + + // We do not filter when PTF is in reducer. + Preconditions.checkState(!batch.selectedInUse); + + final int size = batch.size; + if (size == 0) { + return; + } + LongColumnVector longColVector = ((LongColumnVector) batch.cols[inputColumnNum]); + if (longColVector.isRepeating) { + + if (longColVector.noNulls) { + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = longColVector.vector[0] * batch.size; + isGroupResultNull = false; + } else { + sum += longColVector.vector[0] * batch.size; + } + } + } else if (longColVector.noNulls) { + long[] vector = longColVector.vector; + long varSum = vector[0]; + for (int i = 1; i < size; i++) { + varSum += vector[i]; + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } else { + boolean[] batchIsNull = longColVector.isNull; + int i = 0; + while (batchIsNull[i]) { + if (++i >= size) { + return; + } + } + long[] vector = longColVector.vector; + long varSum = vector[i++]; + for (; i < size; i++) { + if (!batchIsNull[i]) { + varSum += vector[i]; + } + } + if (isGroupResultNull) { + + // First aggregation calculation for group. + sum = varSum; + isGroupResultNull = false; + } else { + sum += varSum; + } + } + } + + @Override + public boolean isGroupResultNull() { + return isGroupResultNull; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public long getLongGroupResult() { + return sum; + } + + @Override + public void resetEvaluator() { + isGroupResultNull = true; + sum = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRank.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRank.java new file mode 100644 index 0000000..5b48e2f --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRank.java @@ -0,0 +1,81 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +/** + * This class evaluates rank() for a PTF group. + * + * Rank starts at 1; the same rank is streamed to the output column as repeated; after the last + * group row, the rank is increased by the number of group rows. + */ +public class VectorPTFEvaluatorRank extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorRank.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + private int rank; + private int groupCount; + + public VectorPTFEvaluatorRank(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + LongColumnVector longColVector = (LongColumnVector) batch.cols[outputColumnNum]; + longColVector.isRepeating = true; + longColVector.noNulls = true; + longColVector.isNull[0] = false; + longColVector.vector[0] = rank; + groupCount += batch.size; + + if (isLastGroupBatch) { + rank += groupCount; + groupCount = 0; + } + } + + public boolean streamsResult() { + // No group value. + return true; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public void resetEvaluator() { + rank = 1; + groupCount = 0; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRowNumber.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRowNumber.java new file mode 100644 index 0000000..b99fe66 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFEvaluatorRowNumber.java @@ -0,0 +1,77 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; + +/** + * This class evaluates row_number() for a PTF group. + * + * Row number starts at 1; stream row number to output column for each row and increment. + */ +public class VectorPTFEvaluatorRowNumber extends VectorPTFEvaluatorBase { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFEvaluatorRowNumber.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + private int rowNumber; + + public VectorPTFEvaluatorRowNumber(WindowFrameDef windowFrameDef, VectorExpression inputVecExpr, + int outputColumnNum) { + super(windowFrameDef, inputVecExpr, outputColumnNum); + resetEvaluator(); + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + evaluateInputExpr(batch); + + final int size = batch.size; + LongColumnVector longColVector = (LongColumnVector) batch.cols[outputColumnNum]; + long[] vector = longColVector.vector; + for (int i = 0; i < size; i++) { + vector[i] = rowNumber++; + } + } + + public boolean streamsResult() { + // No group value. + return true; + } + + public boolean isGroupResultNull() { + return false; + } + + @Override + public Type getResultColumnVectorType() { + return Type.LONG; + } + + @Override + public void resetEvaluator() { + rowNumber = 1; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFGroupBatches.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFGroupBatches.java new file mode 100644 index 0000000..a843f48 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFGroupBatches.java @@ -0,0 +1,216 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import java.util.ArrayList; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedBatchUtil; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.metadata.HiveException; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; + +import com.google.common.base.Preconditions; + +/** + * This class is encapsulates one or more VectorizedRowBatch of a PTF group. + */ +public class VectorPTFGroupBatches { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFGroupBatches.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + private VectorPTFEvaluatorBase[] evaluators; + private int[] outputColumnMap; + private int[] keyInputColumnMap; + private int[] bufferedColumnMap; + + private ArrayList bufferedBatches; + + private VectorizedRowBatch overflowBatch; + + private int allocatedBufferedBatchCount; + private int currentBufferedBatchCount; + + public VectorPTFGroupBatches() { + allocatedBufferedBatchCount = 0; + currentBufferedBatchCount = 0; + } + + public void init(VectorPTFEvaluatorBase[] evaluators, int[] outputColumnMap, + int[] keyInputColumnMap, int[] nonKeyInputColumnMap, int[] streamingColumnMap, + VectorizedRowBatch overflowBatch) { + this.evaluators = evaluators; + this.outputColumnMap = outputColumnMap; + this.keyInputColumnMap = keyInputColumnMap; + final int nonKeyInputColumnCount = nonKeyInputColumnMap.length; + final int streamingColumnCount = streamingColumnMap.length; + final int bufferedColumnCount = nonKeyInputColumnCount + streamingColumnCount; + bufferedColumnMap = new int[bufferedColumnCount]; + for (int i = 0; i < nonKeyInputColumnCount; i++) { + bufferedColumnMap[i] = nonKeyInputColumnMap[i]; + } + for (int i = nonKeyInputColumnCount; i < bufferedColumnCount; i++) { + bufferedColumnMap[i] = streamingColumnMap[i - nonKeyInputColumnCount]; + } + this.overflowBatch = overflowBatch; + bufferedBatches = new ArrayList(0); + } + + public void evaluateStreamingGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + + // Streaming evaluators fill in their results during the evaluate call. + for (VectorPTFEvaluatorBase evaluator : evaluators) { + evaluator.evaluateGroupBatch(batch, isLastGroupBatch); + } + } + + public void evaluateGroupBatch(VectorizedRowBatch batch, boolean isLastGroupBatch) { + for (VectorPTFEvaluatorBase evaluator : evaluators) { + evaluator.evaluateGroupBatch(batch, isLastGroupBatch); + } + } + + private void fillGroupResults(VectorizedRowBatch batch) { + for (VectorPTFEvaluatorBase evaluator : evaluators) { + final int outputColumnNum = evaluator.getOutputColumnNum(); + if (evaluator.streamsResult()) { + continue; + } + final ColumnVector outputColVector = batch.cols[outputColumnNum]; + outputColVector.isRepeating = true; + final boolean isGroupResultNull = evaluator.isGroupResultNull(); + outputColVector.isNull[0] = isGroupResultNull; + if (isGroupResultNull) { + outputColVector.noNulls = false; + } else { + outputColVector.noNulls = true; + switch (evaluator.getResultColumnVectorType()) { + case LONG: + ((LongColumnVector) outputColVector).vector[0] = evaluator.getLongGroupResult(); + break; + case DOUBLE: + ((DoubleColumnVector) outputColVector).vector[0] = evaluator.getDoubleGroupResult(); + break; + case DECIMAL: + ((DecimalColumnVector) outputColVector).vector[0].set(evaluator.getDecimalGroupResult()); + break; + default: + throw new RuntimeException("Unexpected column vector type " + evaluator.getResultColumnVectorType()); + } + } + } + } + + private void forwardBufferedBatches(VectorPTFOperator vecPTFOperator, int index) + throws HiveException { + VectorizedRowBatch bufferedBatch = bufferedBatches.get(index); + + final int size = bufferedColumnMap.length; + for (int i = 0; i < size; i++) { + + // Swap ColumnVectors with overflowBatch. We remember buffered columns compactly in the + // buffered VRBs without other columns or scratch columns. + VectorizedBatchUtil.swapColumnVector( + bufferedBatch, i, overflowBatch, bufferedColumnMap[i]); + + overflowBatch.size = bufferedBatch.size; + fillGroupResults(overflowBatch); + vecPTFOperator.forward(overflowBatch, null); + } + } + + public void fillGroupResultsAndForward(VectorPTFOperator vecPTFOperator, + VectorizedRowBatch lastBatch) throws HiveException { + + if (currentBufferedBatchCount > 0) { + + // Set partition and order columns in overflowBatch. + // We can set by ref since our last batch is held by us. + final int keyInputColumnCount = keyInputColumnMap.length; + for (int i = 0; i < keyInputColumnCount; i++) { + VectorizedBatchUtil.copyRepeatingColumn(lastBatch, i, overflowBatch, i, /* setByValue */ false); + } + + for (int i = 0; i < currentBufferedBatchCount; i++) { + forwardBufferedBatches(vecPTFOperator, i); + } + currentBufferedBatchCount = 0; + } + + fillGroupResults(lastBatch); + + // Save original projection. + int[] originalProjections = lastBatch.projectedColumns; + int originalProjectionSize = lastBatch.projectionSize; + + // Project with the output of our operator. + lastBatch.projectionSize = outputColumnMap.length; + lastBatch.projectedColumns = outputColumnMap; + + vecPTFOperator.forward(lastBatch, null); + + // Revert the projected columns back, because batch can be re-used by our parent operators. + lastBatch.projectionSize = originalProjectionSize; + lastBatch.projectedColumns = originalProjections; + + } + + public void resetEvaluators() { + for (VectorPTFEvaluatorBase evaluator : evaluators) { + evaluator.resetEvaluator(); + } + } + + private VectorizedRowBatch newBufferedBatch(VectorizedRowBatch batch) throws HiveException { + final int bufferedColumnCount = bufferedColumnMap.length; + VectorizedRowBatch newBatch = new VectorizedRowBatch(bufferedColumnCount); + for (int i = 0; i < bufferedColumnCount; i++) { + newBatch.cols[i] = + VectorizedBatchUtil.makeLikeColumnVector(batch.cols[bufferedColumnMap[i]]); + newBatch.cols[i].init(); + } + return newBatch; + } + + public void bufferGroupBatch(VectorizedRowBatch batch) throws HiveException { + + final int bufferedColumnCount = bufferedColumnMap.length; + if (allocatedBufferedBatchCount <= currentBufferedBatchCount) { + VectorizedRowBatch newBatch = newBufferedBatch(batch); + bufferedBatches.add(newBatch); + allocatedBufferedBatchCount++; + } + + VectorizedRowBatch bufferedBatch = bufferedBatches.get(currentBufferedBatchCount++); + + for (int i = 0; i < bufferedColumnCount; i++) { + VectorizedBatchUtil.swapColumnVector( + batch, bufferedColumnMap[i], bufferedBatch, i); + } + + bufferedBatch.size = batch.size; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java new file mode 100644 index 0000000..7522624 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/ptf/VectorPTFOperator.java @@ -0,0 +1,570 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.ptf; + +import java.io.IOException; +import java.sql.Timestamp; +import java.util.ArrayList; +import java.util.Arrays; +import java.util.List; +import java.util.Properties; + +import org.apache.commons.logging.Log; +import org.apache.commons.logging.LogFactory; +import org.apache.commons.lang.ArrayUtils; +import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.common.type.HiveIntervalDayTime; +import org.apache.hadoop.hive.ql.CompilationOpContext; +import org.apache.hadoop.hive.ql.exec.Operator; +import org.apache.hadoop.hive.ql.exec.Utilities; +import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DecimalColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.DoubleColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.IntervalDayTimeColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.TimestampColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext; +import org.apache.hadoop.hive.ql.exec.vector.VectorizationContextRegion; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedBatchUtil; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.IdentityExpression; +import org.apache.hadoop.hive.ql.exec.vector.expressions.StringExpr; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.metadata.HiveException; +import org.apache.hadoop.hive.ql.plan.BaseWork; +import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc; +import org.apache.hadoop.hive.ql.plan.ExprNodeDesc; +import org.apache.hadoop.hive.ql.plan.OperatorDesc; +import org.apache.hadoop.hive.ql.plan.PTFDesc; +import org.apache.hadoop.hive.ql.plan.VectorPTFDesc; +import org.apache.hadoop.hive.ql.plan.VectorPTFDesc.SupportedFunctionType; +import org.apache.hadoop.hive.ql.plan.api.OperatorType; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.ql.plan.VectorPTFInfo; +import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable; +import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; +import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory; +import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils; + +/** + * This class is native vectorized PTF operator class. + */ +public class VectorPTFOperator extends Operator + implements VectorizationContextRegion { + + private static final long serialVersionUID = 1L; + private static final String CLASS_NAME = VectorPTFOperator.class.getName(); + private static final Log LOG = LogFactory.getLog(CLASS_NAME); + + private VectorPTFDesc vectorDesc; + + /** + * Information about our native vectorized PTF created by the Vectorizer class during + * it decision process and useful for execution. + */ + private VectorPTFInfo vectorPTFInfo; + + private VectorizationContext vContext; + + // This is the vectorized row batch description of the output of the native vectorized PTF + // operator. It is based on the incoming vectorization context. Its projection may include + // a mixture of input columns and new scratch columns (for the aggregation output). + protected VectorizationContext vOutContext; + + private boolean isPartitionOrderBy; + + /** + * PTF vector expressions. + */ + + // This is map of which vectorized row batch columns are the input columns and the group value + // (aggregation) output columns. + // And, their types. + private int[] outputColumnMap; + private String[] outputColumnNames; + private TypeInfo[] outputTypeInfos; + + private int evaluatorCount; + private String[] evaluatorFunctionNames; + private WindowFrameDef[] evaluatorWindowFrameDefs; + private VectorExpression[] evaluatorInputExpressions; + private Type[] evaluatorInputColumnVectorTypes; + + private ExprNodeDesc[] orderExprNodeDescs; + private int[] orderColumnMap; + private Type[] orderColumnVectorTypes; + private VectorExpression[] orderExpressions; + + private ExprNodeDesc[] partitionExprNodeDescs; + private int[] partitionColumnMap; + private Type[] partitionColumnVectorTypes; + private VectorExpression[] partitionExpressions; + + private int[] keyInputColumnMap; + private int[] nonKeyInputColumnMap; + + // The above members are initialized by the constructor and must not be + // transient. + //--------------------------------------------------------------------------- + + private transient boolean isLastGroupBatch; + + private transient VectorizedRowBatch overflowBatch; + + private transient VectorPTFGroupBatches groupBatches; + + private transient VectorPTFEvaluatorBase[] evaluators; + + private transient int[] streamingColumnMap; + + private transient boolean allEvaluatorsAreStreaming; + + private transient boolean isFirstPartition; + + private transient boolean[] currentPartitionIsNull; + private transient long[] currentPartitionLongs; + private transient double[] currentPartitionDoubles; + private transient byte[][] currentPartitionByteArrays; + private transient int[] currentPartitionByteLengths; + private transient HiveDecimalWritable[] currentPartitionDecimals; + private transient Timestamp[] currentPartitionTimestamps; + private transient HiveIntervalDayTime[] currentPartitionIntervalDayTimes; + + // For debug tracing: the name of the map or reduce task. + private transient String taskName; + + // Debug display. + private transient long batchCounter; + + //--------------------------------------------------------------------------- + + /** Kryo ctor. */ + protected VectorPTFOperator() { + super(); + } + + public VectorPTFOperator(CompilationOpContext ctx) { + super(ctx); + } + + public VectorPTFOperator(CompilationOpContext ctx, + VectorizationContext vContext, OperatorDesc conf) throws HiveException { + this(ctx); + + LOG.info("VectorPTF constructor"); + + PTFDesc desc = (PTFDesc) conf; + this.conf = desc; + vectorDesc = (VectorPTFDesc) desc.getVectorDesc(); + vectorPTFInfo = vectorDesc.getVectorPTFInfo(); + this.vContext = vContext; + + isPartitionOrderBy = vectorDesc.getIsPartitionOrderBy(); + + outputColumnNames = vectorDesc.getOutputColumnNames(); + outputTypeInfos = vectorDesc.getOutputTypeInfos(); + outputColumnMap = vectorPTFInfo.getOutputColumnMap(); + + /* + * Create a new vectorization context to create a new projection, but keep + * same output column manager must be inherited to track the scratch the columns. + */ + vOutContext = new VectorizationContext(getName(), this.vContext); + setupVOutContext(); + + evaluatorFunctionNames = vectorDesc.getEvaluatorFunctionNames(); + evaluatorCount = evaluatorFunctionNames.length; + evaluatorWindowFrameDefs = vectorDesc.getEvaluatorWindowFrameDefs(); + evaluatorInputExpressions = vectorPTFInfo.getEvaluatorInputExpressions(); + evaluatorInputColumnVectorTypes = vectorPTFInfo.getEvaluatorInputColumnVectorTypes(); + + orderExprNodeDescs = vectorDesc.getOrderExprNodeDescs(); + orderColumnMap = vectorPTFInfo.getOrderColumnMap(); + orderColumnVectorTypes = vectorPTFInfo.getOrderColumnVectorTypes(); + orderExpressions = vectorPTFInfo.getOrderExpressions(); + + partitionExprNodeDescs = vectorDesc.getPartitionExprNodeDescs(); + partitionColumnMap = vectorPTFInfo.getPartitionColumnMap(); + partitionColumnVectorTypes = vectorPTFInfo.getPartitionColumnVectorTypes(); + partitionExpressions = vectorPTFInfo.getPartitionExpressions(); + + keyInputColumnMap = vectorPTFInfo.getKeyInputColumnMap(); + nonKeyInputColumnMap = vectorPTFInfo.getNonKeyInputColumnMap(); + } + + /** + * Setup the vectorized row batch description of the output of the native vectorized PTF + * operator. Use the output projection we previously built from a mixture of input + * columns and new scratch columns. + */ + protected void setupVOutContext() { + vOutContext.resetProjectionColumns(); + final int count = outputColumnNames.length; + for (int i = 0; i < count; ++i) { + String columnName = outputColumnNames[i]; + int outputColumn = outputColumnMap[i]; + vOutContext.addProjectionColumn(columnName, outputColumn); + } + } + + /* + * Allocate overflow batch columns by hand. + */ + private void allocateOverflowBatchColumnVector(VectorizedRowBatch overflowBatch, int outputColumn, + String typeName) throws HiveException { + + if (overflowBatch.cols[outputColumn] == null) { + typeName = VectorizationContext.mapTypeNameSynonyms(typeName); + + TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(typeName); + + overflowBatch.cols[outputColumn] = VectorizedBatchUtil.createColumnVector(typeInfo); + } + } + + /* + * Setup our 2nd batch with the same "column schema" as the output columns plus any scratch + * columns since the overflow batch will get forwarded to children operators. + */ + protected VectorizedRowBatch setupOverflowBatch() throws HiveException { + + int initialColumnCount = vContext.firstOutputColumnIndex(); + VectorizedRowBatch overflowBatch; + + int totalNumColumns = initialColumnCount + vOutContext.getScratchColumnTypeNames().length; + overflowBatch = new VectorizedRowBatch(totalNumColumns); + + // First, just allocate just the output columns we will be using. + for (int i = 0; i < outputColumnMap.length; i++) { + int outputColumn = outputColumnMap[i]; + String typeName = outputTypeInfos[i].getTypeName(); + allocateOverflowBatchColumnVector(overflowBatch, outputColumn, typeName); + } + + // Now, add any scratch columns needed for children operators. + int outputColumn = initialColumnCount; + for (String typeName : vOutContext.getScratchColumnTypeNames()) { + allocateOverflowBatchColumnVector(overflowBatch, outputColumn++, typeName); + } + + overflowBatch.projectedColumns = outputColumnMap; + overflowBatch.projectionSize = outputColumnMap.length; + + overflowBatch.reset(); + + return overflowBatch; + } + + @Override + protected void initializeOp(Configuration hconf) throws HiveException { + super.initializeOp(hconf); + + if (LOG.isDebugEnabled()) { + // Determine the name of our map or reduce task for debug tracing. + BaseWork work = Utilities.getMapWork(hconf); + if (work == null) { + work = Utilities.getReduceWork(hconf); + } + taskName = work.getName(); + } + + if (!isPartitionOrderBy) { + currentPartitionIsNull = null; + currentPartitionLongs = null; + currentPartitionDoubles = null; + currentPartitionByteArrays = null; + currentPartitionByteLengths = null; + currentPartitionDecimals = null; + currentPartitionTimestamps = null; + currentPartitionIntervalDayTimes = null; + } else { + final int partitionKeyCount = vectorDesc.getPartitionExprNodeDescs().length; + currentPartitionIsNull = new boolean[partitionKeyCount]; + currentPartitionLongs = new long[partitionKeyCount]; + currentPartitionDoubles = new double[partitionKeyCount]; + currentPartitionByteArrays = new byte[partitionKeyCount][]; + currentPartitionByteLengths = new int[partitionKeyCount]; + currentPartitionDecimals = new HiveDecimalWritable[partitionKeyCount]; + currentPartitionTimestamps = new Timestamp[partitionKeyCount]; + currentPartitionIntervalDayTimes = new HiveIntervalDayTime[partitionKeyCount]; + } + + evaluators = VectorPTFDesc.getEvaluators(vectorDesc, vectorPTFInfo); + + streamingColumnMap = VectorPTFDesc.getStreamingColumnMap(evaluators); + + allEvaluatorsAreStreaming = (streamingColumnMap.length == evaluatorCount); + + /* + * Setup the overflow batch. + */ + overflowBatch = setupOverflowBatch(); + + groupBatches = new VectorPTFGroupBatches(); + groupBatches.init( + evaluators, outputColumnMap, keyInputColumnMap, nonKeyInputColumnMap, streamingColumnMap, overflowBatch); + + isFirstPartition = true; + + batchCounter = 0; + } + + @Override + public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveException { + this.isLastGroupBatch = isLastGroupBatch; + } + + /** + * We are processing a batch from reduce processor that is only for one reducer key or PTF group. + * + * For a simple OVER (PARTITION BY column) or OVER (ORDER BY column), the reduce processor's + * group key is the partition or order by key. + * + * For an OVER (PARTITION BY column1, ORDER BY column2), the reduce-shuffle group key is + * the combination of the partition column1 and the order by column2. In this case, this method + * has to watch for changes in the partition and reset the group aggregations. + * + * The reduce processor calls setNextVectorBatchGroupStatus beforehand to tell us whether the + * batch supplied to our process method is the last batch for the group key, or not. This helps + * us intelligently process the batch. + */ + @Override + public void process(Object row, int tag) throws HiveException { + VectorizedRowBatch batch = (VectorizedRowBatch) row; + + for (VectorExpression orderExpression : orderExpressions) { + orderExpression.evaluate(batch); + } + + if (partitionExpressions != null) { + for (VectorExpression partitionExpression : partitionExpressions) { + partitionExpression.evaluate(batch); + } + } + + if (isPartitionOrderBy) { + + // Check for PARTITION BY key change when we have ORDER BY keys. + if (isFirstPartition) { + isFirstPartition = false; + setCurrentPartition(batch); + } else if (isPartitionChanged(batch)) { + setCurrentPartition(batch); + groupBatches.resetEvaluators(); + } + } + + if (allEvaluatorsAreStreaming) { + + // We can process this batch immediately. + groupBatches.evaluateStreamingGroupBatch(batch, isLastGroupBatch); + forward(batch, null); + + } else { + + // Evaluate the aggregation functions over the group batch. + groupBatches.evaluateGroupBatch(batch, isLastGroupBatch); + + if (!isLastGroupBatch) { + + // The group spans a VectorizedRowBatch. Swap the relevant columns into our batch buffers, + // or write the batch to temporary storage. + groupBatches.bufferGroupBatch(batch); + return; + } + + /* + * Last group batch. + * + * Take the (non-streaming) group aggregation values and write output columns for all + * rows of every batch of the group. As each group batch is finished being written, they are + * forwarded to the next operator. + */ + groupBatches.fillGroupResultsAndForward(this, batch); + } + + // If we are only processing a PARTITION BY, reset our evaluators. + if (!isPartitionOrderBy) { + groupBatches.resetEvaluators(); + } + } + + private boolean isPartitionChanged(VectorizedRowBatch batch) { + + final int count = partitionColumnMap.length; + for (int i = 0; i < count; i++) { + ColumnVector colVector = batch.cols[partitionColumnMap[i]]; + + // Vector reduce key (i.e. partition) columns are repeated -- so we test element 0. + + final boolean isNull = !colVector.noNulls && colVector.isNull[0]; + final boolean currentIsNull = currentPartitionIsNull[i]; + + if (isNull != currentIsNull) { + return true; + } + if (isNull) { + continue; + } + + switch (partitionColumnVectorTypes[i]) { + case LONG: + if (currentPartitionLongs[i] != ((LongColumnVector) colVector).vector[0]) { + return true; + } + break; + case DOUBLE: + if (currentPartitionDoubles[i] != ((DoubleColumnVector) colVector).vector[0]) { + return true; + } + break; + case BYTES: + { + BytesColumnVector byteColVector = (BytesColumnVector) colVector; + byte[] bytes = byteColVector.vector[0]; + final int start = byteColVector.start[0]; + final int length = byteColVector.length[0]; + if (!StringExpr.equal( + bytes, start, length, + currentPartitionByteArrays[i], 0, currentPartitionByteLengths[i])) { + return true; + } + } + break; + case DECIMAL: + if (!currentPartitionDecimals[i].equals(((DecimalColumnVector) colVector).vector[0])) { + return true; + } + break; + case TIMESTAMP: + if (((TimestampColumnVector) colVector).compareTo(0, currentPartitionTimestamps[i]) != 0) { + return true; + } + break; + case INTERVAL_DAY_TIME: + if (((IntervalDayTimeColumnVector) colVector).compareTo(0, currentPartitionIntervalDayTimes[i]) != 0) { + return true; + } + break; + default: + throw new RuntimeException("Unexpected column vector type " + partitionColumnVectorTypes[i]); + } + } + return false; + } + + private void setCurrentPartition(VectorizedRowBatch batch) { + + final int count = partitionColumnMap.length; + for (int i = 0; i < count; i++) { + ColumnVector colVector = batch.cols[partitionColumnMap[i]]; + + // Partition columns are repeated -- so we test element 0. + + final boolean isNull = !colVector.noNulls && colVector.isNull[0]; + currentPartitionIsNull[i] = isNull; + + if (isNull) { + continue; + } + + switch (partitionColumnVectorTypes[i]) { + case LONG: + currentPartitionLongs[i] = ((LongColumnVector) colVector).vector[0]; + break; + case DOUBLE: + currentPartitionDoubles[i] = ((DoubleColumnVector) colVector).vector[0]; + break; + case BYTES: + { + BytesColumnVector byteColVector = (BytesColumnVector) colVector; + byte[] bytes = byteColVector.vector[0]; + final int start = byteColVector.start[0]; + final int length = byteColVector.length[0]; + if (currentPartitionByteArrays[i] == null || currentPartitionByteLengths[i] < length) { + currentPartitionByteArrays[i] = Arrays.copyOfRange(bytes, start, start + length); + } else { + System.arraycopy(bytes, start, currentPartitionByteArrays[i], 0, length); + } + currentPartitionByteLengths[i] = length; + } + break; + case DECIMAL: + if (currentPartitionDecimals[i] == null) { + currentPartitionDecimals[i] = new HiveDecimalWritable(); + } + currentPartitionDecimals[i].set(((DecimalColumnVector) colVector).vector[0]); + break; + case TIMESTAMP: + if (currentPartitionTimestamps[i] == null) { + currentPartitionTimestamps[i] = new Timestamp(0); + } + ((TimestampColumnVector) colVector).timestampUpdate(currentPartitionTimestamps[i], 0); + break; + case INTERVAL_DAY_TIME: + if (currentPartitionIntervalDayTimes[i] == null) { + currentPartitionIntervalDayTimes[i] = new HiveIntervalDayTime(); + } + ((IntervalDayTimeColumnVector) colVector).intervalDayTimeUpdate(currentPartitionIntervalDayTimes[i], 0); + break; + default: + throw new RuntimeException("Unexpected column vector type " + partitionColumnVectorTypes[i]); + } + } + } + + @Override + public void forward(Object row, ObjectInspector rowInspector) throws HiveException { + super.forward(row, rowInspector); + } + + @Override + protected void closeOp(boolean abort) throws HiveException { + super.closeOp(abort); + + // We do not try to finish and flush an in-progress group because correct values require the + // last group batch. + } + + /** + * @return the name of the operator + */ + @Override + public String getName() { + return getOperatorName(); + } + + static public String getOperatorName() { + return "PTF"; + } + + @Override + public OperatorType getType() { + return OperatorType.PTF; + } + + @Override + public VectorizationContext getOuputVectorizationContext() { + return vOutContext; + } +} \ No newline at end of file diff --git ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java index 5f442a6..8183194 100644 --- ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java +++ ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java @@ -61,12 +61,14 @@ import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterLongOperator; import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterMultiKeyOperator; import org.apache.hadoop.hive.ql.exec.vector.mapjoin.VectorMapJoinOuterStringOperator; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFOperator; import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkEmptyKeyOperator; import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkLongOperator; import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkMultiKeyOperator; import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkObjectHashOperator; import org.apache.hadoop.hive.ql.exec.vector.reducesink.VectorReduceSinkStringOperator; import org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector; import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; import org.apache.hadoop.hive.ql.exec.vector.VectorColumnOutputMapping; import org.apache.hadoop.hive.ql.exec.vector.VectorColumnSourceMapping; @@ -96,6 +98,7 @@ import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.ql.metadata.VirtualColumn; import org.apache.hadoop.hive.ql.parse.SemanticException; +import org.apache.hadoop.hive.ql.parse.WindowingSpec.WindowType; import org.apache.hadoop.hive.ql.plan.AbstractOperatorDesc; import org.apache.hadoop.hive.ql.plan.AggregationDesc; import org.apache.hadoop.hive.ql.plan.AppMasterEventDesc; @@ -103,6 +106,7 @@ import org.apache.hadoop.hive.ql.plan.Explain; import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc; import org.apache.hadoop.hive.ql.plan.ExprNodeDesc; +import org.apache.hadoop.hive.ql.plan.ExprNodeDesc.ExprNodeDescEqualityWrapper; import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc; import org.apache.hadoop.hive.ql.plan.FileSinkDesc; import org.apache.hadoop.hive.ql.plan.FilterDesc; @@ -113,10 +117,14 @@ import org.apache.hadoop.hive.ql.plan.MapWork; import org.apache.hadoop.hive.ql.plan.MapredWork; import org.apache.hadoop.hive.ql.plan.OperatorDesc; +import org.apache.hadoop.hive.ql.plan.PTFDesc; import org.apache.hadoop.hive.ql.plan.SelectDesc; import org.apache.hadoop.hive.ql.plan.VectorAppMasterEventDesc; import org.apache.hadoop.hive.ql.plan.VectorFileSinkDesc; import org.apache.hadoop.hive.ql.plan.VectorFilterDesc; +import org.apache.hadoop.hive.ql.plan.VectorPTFDesc; +import org.apache.hadoop.hive.ql.plan.VectorPTFInfo; +import org.apache.hadoop.hive.ql.plan.VectorPTFDesc.SupportedFunctionType; import org.apache.hadoop.hive.ql.plan.VectorTableScanDesc; import org.apache.hadoop.hive.ql.plan.VectorizationCondition; import org.apache.hadoop.hive.ql.plan.VectorGroupByDesc.ProcessingMode; @@ -150,6 +158,13 @@ import org.apache.hadoop.hive.ql.plan.VectorReduceSinkInfo; import org.apache.hadoop.hive.ql.plan.VectorPartitionDesc; import org.apache.hadoop.hive.ql.plan.api.OperatorType; +import org.apache.hadoop.hive.ql.plan.ptf.OrderExpressionDef; +import org.apache.hadoop.hive.ql.plan.ptf.PTFExpressionDef; +import org.apache.hadoop.hive.ql.plan.ptf.PartitionDef; +import org.apache.hadoop.hive.ql.plan.ptf.PartitionedTableFunctionDef; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFunctionDef; +import org.apache.hadoop.hive.ql.plan.ptf.WindowTableFunctionDef; import org.apache.hadoop.hive.ql.udf.UDFAcos; import org.apache.hadoop.hive.ql.udf.UDFAsin; import org.apache.hadoop.hive.ql.udf.UDFAtan; @@ -191,6 +206,8 @@ import org.apache.hadoop.hive.ql.udf.UDFWeekOfYear; import org.apache.hadoop.hive.ql.udf.UDFYear; import org.apache.hadoop.hive.ql.udf.generic.*; +import org.apache.hadoop.hive.ql.udf.ptf.TableFunctionEvaluator; +import org.apache.hadoop.hive.ql.udf.ptf.WindowingTableFunction; import org.apache.hadoop.hive.serde.serdeConstants; import org.apache.hadoop.hive.serde2.Deserializer; import org.apache.hadoop.hive.serde2.NullStructSerDe; @@ -263,6 +280,7 @@ private boolean useVectorDeserialize; private boolean useRowDeserialize; private boolean isReduceVectorizationEnabled; + private boolean isPtfVectorizationEnabled; private boolean isVectorizationComplexTypesEnabled; private boolean isVectorizationGroupByComplexTypesEnabled; @@ -1670,7 +1688,7 @@ private ValidatorVectorizationContext(HiveConf hiveConf) { } @Override - protected int getInputColumnIndex(String name) { + public int getInputColumnIndex(String name) { return 0; } @@ -1708,6 +1726,9 @@ public PhysicalContext resolve(PhysicalContext physicalContext) throws SemanticE isReduceVectorizationEnabled = HiveConf.getBoolVar(hiveConf, HiveConf.ConfVars.HIVE_VECTORIZATION_REDUCE_ENABLED); + isPtfVectorizationEnabled = + HiveConf.getBoolVar(hiveConf, + HiveConf.ConfVars.HIVE_VECTORIZATION_PTF_ENABLED); isVectorizationComplexTypesEnabled = HiveConf.getBoolVar(hiveConf, @@ -1836,6 +1857,9 @@ boolean validateReduceWorkOperator(Operator op) { ret = op instanceof SparkHashTableSinkOperator && validateSparkHashTableSinkOperator((SparkHashTableSinkOperator) op); break; + case PTF: + ret = validatePTFOperator((PTFOperator) op); + break; default: setOperatorNotSupported(op); ret = false; @@ -2097,6 +2121,171 @@ private boolean validateFileSinkOperator(FileSinkOperator op) { return true; } + /* + * Determine recursively if the PTF LEAD or LAG function is being used in an expression. + */ + private boolean containsLeadLag(ExprNodeDesc exprNodeDesc) { + if (exprNodeDesc instanceof ExprNodeGenericFuncDesc) { + ExprNodeGenericFuncDesc genericFuncDesc = (ExprNodeGenericFuncDesc) exprNodeDesc; + GenericUDF genFuncClass = genericFuncDesc.getGenericUDF(); + if (genFuncClass instanceof GenericUDFLag || + genFuncClass instanceof GenericUDFLead) { + return true; + } + return containsLeadLag(genericFuncDesc.getChildren()); + } else { + // ExprNodeColumnDesc, ExprNodeConstantDesc, ExprNodeDynamicValueDesc, etc do not have + // LEAD/LAG inside. + return false; + } + } + + private boolean containsLeadLag(List exprNodeDescList) { + for (ExprNodeDesc exprNodeDesc : exprNodeDescList) { + if (containsLeadLag(exprNodeDesc)) { + return true; + } + } + return false; + } + + private boolean validatePTFOperator(PTFOperator op) { + + if (!isPtfVectorizationEnabled) { + setNodeIssue("Vectorization of PTF is not enabled (" + + HiveConf.ConfVars.HIVE_VECTORIZATION_PTF_ENABLED.varname + " IS false)"); + return false; + } + PTFDesc ptfDesc = (PTFDesc) op.getConf(); + boolean isMapSide = ptfDesc.isMapSide(); + if (isMapSide) { + setOperatorIssue("PTF Mapper not supported"); + return false; + } + boolean forNoop = ptfDesc.forNoop(); + if (forNoop) { + setOperatorIssue("NOOP not supported"); + return false; + } + boolean forWindowing = ptfDesc.forWindowing(); + if (!forWindowing) { + setOperatorIssue("Windowing required"); + return false; + } + PartitionedTableFunctionDef funcDef = ptfDesc.getFuncDef(); + boolean isWindowTableFunctionDef = (funcDef instanceof WindowTableFunctionDef); + if (!isWindowTableFunctionDef) { + setOperatorIssue("Must be a WindowTableFunctionDef"); + return false; + } + + // We collect information in VectorPTFDesc that doesn't need the VectorizationContext. + // We use this information for validation. Later when creating the vector operator + // we create an additional object VectorPTFInfo. + + VectorPTFDesc vectorPTFDesc = null; + try { + vectorPTFDesc = createVectorPTFDesc(op, ptfDesc); + } catch (HiveException e) { + setOperatorIssue("exception: " + VectorizationContext.getStackTraceAsSingleLine(e)); + return false; + } + ptfDesc.setVectorDesc(vectorPTFDesc); + + // Output columns ok? + String[] outputColumnNames = vectorPTFDesc.getOutputColumnNames(); + TypeInfo[] outputTypeInfos = vectorPTFDesc.getOutputTypeInfos(); + final int outputCount = outputColumnNames.length; + for (int i = 0; i < outputCount; i++) { + String typeName = outputTypeInfos[i].getTypeName(); + boolean ret = validateDataType(typeName, VectorExpressionDescriptor.Mode.PROJECTION, /* allowComplex */ false); + if (!ret) { + setExpressionIssue("PTF Output Columns", "Data type " + typeName + " of column " + outputColumnNames[i] + " not supported"); + return false; + } + } + + boolean isPartitionOrderBy = vectorPTFDesc.getIsPartitionOrderBy(); + String[] evaluatorFunctionNames = vectorPTFDesc.getEvaluatorFunctionNames(); + final int count = evaluatorFunctionNames.length; + WindowFrameDef[] evaluatorWindowFrameDefs = vectorPTFDesc.getEvaluatorWindowFrameDefs(); + List[] evaluatorInputExprNodeDescLists = vectorPTFDesc.getEvaluatorInputExprNodeDescLists(); + + for (int i = 0; i < count; i++) { + String functionName = evaluatorFunctionNames[i]; + SupportedFunctionType supportedFunctionType = VectorPTFDesc.supportedFunctionsMap.get(functionName); + if (supportedFunctionType == null) { + setOperatorIssue(functionName + " not in supported functions " + VectorPTFDesc.supportedFunctionNames); + return false; + } + WindowFrameDef windowFrameDef = evaluatorWindowFrameDefs[i]; + if (!windowFrameDef.isStartUnbounded()) { + setOperatorIssue(functionName + " only UNBOUNDED start frame is supported"); + return false; + } + switch (windowFrameDef.getWindowType()) { + case RANGE: + if (!windowFrameDef.getEnd().isCurrentRow()) { + setOperatorIssue(functionName + " only CURRENT ROW end frame is supported for RANGE"); + return false; + } + break; + case ROWS: + if (!windowFrameDef.isEndUnbounded()) { + setOperatorIssue(functionName + " UNBOUNDED end frame is not supported for ROWS window type"); + return false; + } + break; + default: + throw new RuntimeException("Unexpected window type " + windowFrameDef.getWindowType()); + } + List exprNodeDescList = evaluatorInputExprNodeDescLists[i]; + if (exprNodeDescList != null && exprNodeDescList.size() > 1) { + setOperatorIssue("More than 1 argument expression of aggregation function " + functionName); + return false; + } + if (exprNodeDescList != null) { + ExprNodeDesc exprNodeDesc = exprNodeDescList.get(0); + + if (containsLeadLag(exprNodeDesc)) { + setOperatorIssue("lead and lag function not supported in argument expression of aggregation function " + functionName); + return false; + } + + if (supportedFunctionType != SupportedFunctionType.COUNT && + supportedFunctionType != SupportedFunctionType.DENSE_RANK && + supportedFunctionType != SupportedFunctionType.RANK) { + + // COUNT, DENSE_RANK, and RANK do not care about column types. The rest do. + TypeInfo typeInfo = exprNodeDesc.getTypeInfo(); + Category category = typeInfo.getCategory(); + boolean isSupportedType; + if (category != Category.PRIMITIVE) { + isSupportedType = false; + } else { + ColumnVector.Type colVecType = + VectorizationContext.getColumnVectorTypeFromTypeInfo(typeInfo); + switch (colVecType) { + case LONG: + case DOUBLE: + case DECIMAL: + isSupportedType = true; + break; + default: + isSupportedType = false; + break; + } + } + if (!isSupportedType) { + setOperatorIssue(typeInfo.getTypeName() + " data type not supported in argument expression of aggregation function " + functionName); + return false; + } + } + } + } + return true; + } + private boolean validateExprNodeDesc(List descs, String expressionTitle) { return validateExprNodeDesc( descs, expressionTitle, VectorExpressionDescriptor.Mode.PROJECTION, /* allowComplex */ true); @@ -3447,6 +3636,331 @@ private boolean usesVectorUDFAdaptor(VectorExpression[] vecExprs) { selectOp.getCompilationOpContext(), selectDesc, vContext); } + private static void fillInPTFEvaluators( + List windowsFunctions, + String[] evaluatorFunctionNames, + WindowFrameDef[] evaluatorWindowFrameDefs, + List[] evaluatorInputExprNodeDescLists) throws HiveException { + final int functionCount = windowsFunctions.size(); + for (int i = 0; i < functionCount; i++) { + WindowFunctionDef winFunc = windowsFunctions.get(i); + evaluatorFunctionNames[i] = winFunc.getName(); + evaluatorWindowFrameDefs[i] = winFunc.getWindowFrame(); + + List args = winFunc.getArgs(); + if (args != null) { + + List exprNodeDescList = new ArrayList(); + for (PTFExpressionDef arg : args) { + exprNodeDescList.add(arg.getExprNode()); + } + + evaluatorInputExprNodeDescLists[i] = exprNodeDescList; + } + } + } + + private static ExprNodeDesc[] getPartitionExprNodeDescs(List partitionExpressions) { + final int size = partitionExpressions.size(); + ExprNodeDesc[] exprNodeDescs = new ExprNodeDesc[size]; + for (int i = 0; i < size; i++) { + exprNodeDescs[i] = partitionExpressions.get(i).getExprNode(); + } + return exprNodeDescs; + } + + private static ExprNodeDesc[] getOrderExprNodeDescs(List orderExpressions) { + final int size = orderExpressions.size(); + ExprNodeDesc[] exprNodeDescs = new ExprNodeDesc[size]; + for (int i = 0; i < size; i++) { + exprNodeDescs[i] = orderExpressions.get(i).getExprNode(); + } + return exprNodeDescs; + } + + /* + * Create the VectorPTFDesc data that is used during validation and that doesn't rely on + * VectorizationContext to lookup column names, etc. + */ + private static VectorPTFDesc createVectorPTFDesc(Operator ptfOp, + PTFDesc ptfDesc) throws HiveException { + + PartitionedTableFunctionDef funcDef = ptfDesc.getFuncDef(); + + WindowTableFunctionDef windowTableFunctionDef = (WindowTableFunctionDef) funcDef; + List windowsFunctions = windowTableFunctionDef.getWindowFunctions(); + final int functionCount = windowsFunctions.size(); + + ArrayList outputSignature = ptfOp.getSchema().getSignature(); + final int outputSize = outputSignature.size(); + + /* + * Output columns. + */ + String[] outputColumnNames = new String[outputSize]; + TypeInfo[] outputTypeInfos = new TypeInfo[outputSize]; + for (int i = 0; i < functionCount; i++) { + ColumnInfo colInfo = outputSignature.get(i); + TypeInfo typeInfo = colInfo.getType(); + outputColumnNames[i] = colInfo.getInternalName(); + outputTypeInfos[i] = typeInfo; + } + for (int i = functionCount; i < outputSize; i++) { + ColumnInfo colInfo = outputSignature.get(i); + outputColumnNames[i] = colInfo.getInternalName(); + outputTypeInfos[i] = colInfo.getType(); + } + + List partitionExpressions = funcDef.getPartition().getExpressions(); + final int partitionKeyCount = partitionExpressions.size(); + ExprNodeDesc[] partitionExprNodeDescs = getPartitionExprNodeDescs(partitionExpressions); + + List orderExpressions = funcDef.getOrder().getExpressions(); + final int orderKeyCount = orderExpressions.size(); + ExprNodeDesc[] orderExprNodeDescs = getOrderExprNodeDescs(orderExpressions); + + // When there are PARTITION and ORDER BY clauses, will have different partition expressions. + // Otherwise, only order by expressions. + boolean isPartitionOrderBy = false; + + if (partitionKeyCount != orderKeyCount) { + // Obviously different expressions. + isPartitionOrderBy = true; + } else { + // Check each ExprNodeDesc. + for (int i = 0; i < partitionKeyCount; i++) { + final ExprNodeDescEqualityWrapper partitionExprEqualityWrapper = + new ExprNodeDesc.ExprNodeDescEqualityWrapper(partitionExprNodeDescs[i]); + final ExprNodeDescEqualityWrapper orderExprEqualityWrapper = + new ExprNodeDesc.ExprNodeDescEqualityWrapper(orderExprNodeDescs[i]); + if (!partitionExprEqualityWrapper.equals(orderExprEqualityWrapper)) { + isPartitionOrderBy = true; + break; + } + } + } + + String[] evaluatorFunctionNames = new String[functionCount]; + WindowFrameDef[] evaluatorWindowFrameDefs = new WindowFrameDef[functionCount]; + List[] evaluatorInputExprNodeDescLists = (List[]) new List[functionCount]; + + fillInPTFEvaluators( + windowsFunctions, + evaluatorFunctionNames, + evaluatorWindowFrameDefs, + evaluatorInputExprNodeDescLists); + + VectorPTFDesc vectorPTFDesc = new VectorPTFDesc(); + + vectorPTFDesc.setIsPartitionOrderBy(isPartitionOrderBy); + + vectorPTFDesc.setOrderExprNodeDescs(orderExprNodeDescs); + vectorPTFDesc.setPartitionExprNodeDescs(partitionExprNodeDescs); + + vectorPTFDesc.setEvaluatorFunctionNames(evaluatorFunctionNames); + vectorPTFDesc.setEvaluatorWindowFrameDefs(evaluatorWindowFrameDefs); + vectorPTFDesc.setEvaluatorInputExprNodeDescLists(evaluatorInputExprNodeDescLists); + + vectorPTFDesc.setOutputColumnNames(outputColumnNames); + vectorPTFDesc.setOutputTypeInfos(outputTypeInfos); + + return vectorPTFDesc; + } + + private static void determineKeyAndNonKeyInputColumnMap(int[] outputColumnMap, + boolean isPartitionOrderBy, int[] orderColumnMap, int[] partitionColumnMap, + int evaluatorCount, ArrayList keyInputColumns, + ArrayList nonKeyInputColumns) { + + final int outputSize = outputColumnMap.length; + final int orderKeyCount = orderColumnMap.length; + final int partitionKeyCount = (isPartitionOrderBy ? partitionColumnMap.length : 0); + for (int i = evaluatorCount; i < outputSize; i++) { + final int nonEvalColumnNum = outputColumnMap[i]; + boolean isKey = false; + for (int o = 0; o < orderKeyCount; o++) { + if (nonEvalColumnNum == orderColumnMap[o]) { + isKey = true; + break; + } + } + if (!isKey && isPartitionOrderBy) { + for (int p = 0; p < partitionKeyCount; p++) { + if (nonEvalColumnNum == partitionColumnMap[p]) { + isKey = true; + break; + } + } + } + if (isKey) { + keyInputColumns.add(nonEvalColumnNum); + } else { + nonKeyInputColumns.add(nonEvalColumnNum); + } + } + } + + /* + * Create the additional vectorization PTF information needed by the VectorPTFOperator during + * execution. + */ + private static VectorPTFInfo createVectorPTFInfo(Operator ptfOp, + PTFDesc ptfDesc, VectorizationContext vContext) throws HiveException { + + PartitionedTableFunctionDef funcDef = ptfDesc.getFuncDef(); + + ArrayList outputSignature = ptfOp.getSchema().getSignature(); + final int outputSize = outputSignature.size(); + + VectorPTFDesc vectorPTFDesc = (VectorPTFDesc) ptfDesc.getVectorDesc(); + + boolean isPartitionOrderBy = vectorPTFDesc.getIsPartitionOrderBy(); + ExprNodeDesc[] orderExprNodeDescs = vectorPTFDesc.getOrderExprNodeDescs(); + ExprNodeDesc[] partitionExprNodeDescs = vectorPTFDesc.getPartitionExprNodeDescs(); + String[] evaluatorFunctionNames = vectorPTFDesc.getEvaluatorFunctionNames(); + + final int evaluatorCount = evaluatorFunctionNames.length; + WindowFrameDef[] evaluatorWindowFrameDefs = vectorPTFDesc.getEvaluatorWindowFrameDefs(); + List[] evaluatorInputExprNodeDescLists = vectorPTFDesc.getEvaluatorInputExprNodeDescLists(); + + /* + * Output columns. + */ + int[] outputColumnMap = new int[outputSize]; + for (int i = 0; i < evaluatorCount; i++) { + ColumnInfo colInfo = outputSignature.get(i); + TypeInfo typeInfo = colInfo.getType(); + final int outputColumnNum; + outputColumnNum = vContext.allocateScratchColumn(typeInfo); + outputColumnMap[i] = outputColumnNum; + } + for (int i = evaluatorCount; i < outputSize; i++) { + ColumnInfo colInfo = outputSignature.get(i); + outputColumnMap[i] = vContext.getInputColumnIndex(colInfo.getInternalName()); + } + + /* + * Partition and order by. + */ + + int[] partitionColumnMap; + Type[] partitionColumnVectorTypes; + VectorExpression[] partitionExpressions; + + if (!isPartitionOrderBy) { + partitionColumnMap = null; + partitionColumnVectorTypes = null; + partitionExpressions = null; + } else { + final int partitionKeyCount = partitionExprNodeDescs.length; + partitionColumnMap = new int[partitionKeyCount]; + partitionColumnVectorTypes = new Type[partitionKeyCount]; + partitionExpressions = new VectorExpression[partitionKeyCount]; + + for (int i = 0; i < partitionKeyCount; i++) { + VectorExpression partitionExpression = vContext.getVectorExpression(partitionExprNodeDescs[i]); + String typeName = partitionExpression.getOutputType(); + typeName = VectorizationContext.mapTypeNameSynonyms(typeName); + TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(typeName); + Type columnVectorType = VectorizationContext.getColumnVectorTypeFromTypeInfo(typeInfo); + partitionColumnVectorTypes[i] = columnVectorType; + partitionColumnMap[i] = partitionExpression.getOutputColumn(); + partitionExpressions[i] = partitionExpression; + } + } + + final int orderKeyCount = orderExprNodeDescs.length; + int[] orderColumnMap = new int[orderKeyCount]; + Type[] orderColumnVectorTypes = new Type[orderKeyCount]; + VectorExpression[] orderExpressions = new VectorExpression[orderKeyCount]; + for (int i = 0; i < orderKeyCount; i++) { + VectorExpression orderExpression = vContext.getVectorExpression(orderExprNodeDescs[i]); + String typeName = orderExpression.getOutputType(); + typeName = VectorizationContext.mapTypeNameSynonyms(typeName); + TypeInfo typeInfo = TypeInfoUtils.getTypeInfoFromTypeString(typeName); + Type columnVectorType = VectorizationContext.getColumnVectorTypeFromTypeInfo(typeInfo); + orderColumnVectorTypes[i] = columnVectorType; + orderColumnMap[i] = orderExpression.getOutputColumn(); + orderExpressions[i] = orderExpression; + } + + ArrayList keyInputColumns = new ArrayList(); + ArrayList nonKeyInputColumns = new ArrayList(); + determineKeyAndNonKeyInputColumnMap(outputColumnMap, isPartitionOrderBy, orderColumnMap, + partitionColumnMap, evaluatorCount, keyInputColumns, nonKeyInputColumns); + int[] keyInputColumnMap = ArrayUtils.toPrimitive(keyInputColumns.toArray(new Integer[0])); + int[] nonKeyInputColumnMap = ArrayUtils.toPrimitive(nonKeyInputColumns.toArray(new Integer[0])); + + VectorExpression[] evaluatorInputExpressions = new VectorExpression[evaluatorCount]; + Type[] evaluatorInputColumnVectorTypes = new Type[evaluatorCount]; + for (int i = 0; i < evaluatorCount; i++) { + String functionName = evaluatorFunctionNames[i]; + WindowFrameDef windowFrameDef = evaluatorWindowFrameDefs[i]; + SupportedFunctionType functionType = VectorPTFDesc.supportedFunctionsMap.get(functionName); + + List exprNodeDescList = evaluatorInputExprNodeDescLists[i]; + VectorExpression inputVectorExpression; + final Type columnVectorType; + if (exprNodeDescList != null) { + + // Validation has limited evaluatorInputExprNodeDescLists to size 1. + ExprNodeDesc exprNodeDesc = exprNodeDescList.get(0); + + // Determine input vector expression using the VectorizationContext. + inputVectorExpression = vContext.getVectorExpression(exprNodeDesc); + + TypeInfo typeInfo = exprNodeDesc.getTypeInfo(); + PrimitiveCategory primitiveCategory = ((PrimitiveTypeInfo) typeInfo).getPrimitiveCategory(); + columnVectorType = VectorizationContext.getColumnVectorTypeFromTypeInfo(typeInfo); + } else { + inputVectorExpression = null; + columnVectorType = ColumnVector.Type.NONE; + } + + evaluatorInputExpressions[i] = inputVectorExpression; + evaluatorInputColumnVectorTypes[i] = columnVectorType; + } + + VectorPTFInfo vectorPTFInfo = new VectorPTFInfo(); + + vectorPTFInfo.setOutputColumnMap(outputColumnMap); + + vectorPTFInfo.setPartitionColumnMap(partitionColumnMap); + vectorPTFInfo.setPartitionColumnVectorTypes(partitionColumnVectorTypes); + vectorPTFInfo.setPartitionExpressions(partitionExpressions); + + vectorPTFInfo.setOrderColumnMap(orderColumnMap); + vectorPTFInfo.setOrderColumnVectorTypes(orderColumnVectorTypes); + vectorPTFInfo.setOrderExpressions(orderExpressions); + + vectorPTFInfo.setEvaluatorInputExpressions(evaluatorInputExpressions); + vectorPTFInfo.setEvaluatorInputColumnVectorTypes(evaluatorInputColumnVectorTypes); + + vectorPTFInfo.setKeyInputColumnMap(keyInputColumnMap); + vectorPTFInfo.setNonKeyInputColumnMap(nonKeyInputColumnMap); + + return vectorPTFInfo; + } + + /* + * NOTE: The VectorPTFDesc has already been allocated and populated. + */ + public static Operator vectorizePTFOperator( + Operator ptfOp, VectorizationContext vContext) + throws HiveException { + PTFDesc ptfDesc = (PTFDesc) ptfOp.getConf(); + + VectorPTFDesc vectorPTFDesc = (VectorPTFDesc) ptfDesc.getVectorDesc(); + + VectorPTFInfo vectorPTFInfo = createVectorPTFInfo(ptfOp, ptfDesc, vContext); + + vectorPTFDesc.setVectorPTFInfo(vectorPTFInfo); + + Class> opClass = VectorPTFOperator.class; + return OperatorFactory.getVectorOperator( + opClass, ptfOp.getCompilationOpContext(), ptfOp.getConf(), vContext); + } + public Operator vectorizeOperator(Operator op, VectorizationContext vContext, boolean isTezOrSpark, VectorTaskColumnInfo vectorTaskColumnInfo) throws HiveException { @@ -3478,7 +3992,7 @@ private boolean usesVectorUDFAdaptor(VectorExpression[] vecExprs) { } else { opClass = VectorMapJoinOuterFilteredOperator.class; } - + vectorOp = OperatorFactory.getVectorOperator( opClass, op.getCompilationOpContext(), op.getConf(), vContext); isNative = false; @@ -3621,6 +4135,10 @@ private boolean usesVectorUDFAdaptor(VectorExpression[] vecExprs) { isNative = true; } break; + case PTF: + vectorOp = vectorizePTFOperator(op, vContext); + isNative = true; + break; case HASHTABLESINK: { SparkHashTableSinkDesc sparkHashTableSinkDesc = (SparkHashTableSinkDesc) op.getConf(); diff --git ql/src/java/org/apache/hadoop/hive/ql/plan/PTFDesc.java ql/src/java/org/apache/hadoop/hive/ql/plan/PTFDesc.java index c4b49b6..29a41a2 100644 --- ql/src/java/org/apache/hadoop/hive/ql/plan/PTFDesc.java +++ ql/src/java/org/apache/hadoop/hive/ql/plan/PTFDesc.java @@ -20,16 +20,28 @@ import java.util.ArrayList; +import java.util.Arrays; import java.util.Collections; import java.util.List; import org.apache.hadoop.conf.Configuration; +import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.IdentityExpression; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorBase; import org.apache.hadoop.hive.ql.parse.LeadLagInfo; import org.apache.hadoop.hive.ql.plan.Explain.Level; +import org.apache.hadoop.hive.ql.plan.Explain.Vectorization; +import org.apache.hadoop.hive.ql.plan.VectorPTFDesc.SupportedFunctionType; import org.apache.hadoop.hive.ql.plan.ptf.PTFInputDef; import org.apache.hadoop.hive.ql.plan.ptf.PartitionedTableFunctionDef; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; import org.apache.hadoop.hive.ql.plan.ptf.WindowTableFunctionDef; import org.apache.hadoop.hive.ql.udf.ptf.Noop; +import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory; +import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; import org.slf4j.Logger; import org.slf4j.LoggerFactory; @@ -114,4 +126,104 @@ public Configuration getCfg() { public void setCfg(Configuration cfg) { this.cfg = cfg; } + + // Since we don't have a non-native or pass-thru version of VectorPTFOperator, we do not + // have enableConditionsMet / enableConditionsNotMet like we have for VectorReduceSinkOperator, + // etc. + public class PTFOperatorExplainVectorization extends OperatorExplainVectorization { + + private final PTFDesc PTFDesc; + private final VectorPTFDesc vectorPTFDesc; + private final VectorPTFInfo vectorPTFInfo; + + private VectorizationCondition[] nativeConditions; + + public PTFOperatorExplainVectorization(PTFDesc PTFDesc, VectorDesc vectorDesc) { + // VectorPTFOperator is native vectorized. + super(vectorDesc, true); + this.PTFDesc = PTFDesc; + vectorPTFDesc = (VectorPTFDesc) vectorDesc; + vectorPTFInfo = vectorPTFDesc.getVectorPTFInfo(); + } + + @Explain(vectorization = Vectorization.EXPRESSION, displayName = "functionNames", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getFunctionNames() { + return Arrays.toString(vectorPTFDesc.getEvaluatorFunctionNames()); + } + + @Explain(vectorization = Vectorization.EXPRESSION, displayName = "functionInputExpressions", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getFunctionInputExpressions() { + return Arrays.toString(vectorPTFInfo.getEvaluatorInputExpressions()); + } + + @Explain(vectorization = Vectorization.EXPRESSION, displayName = "partitionExpressions", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getPartitionExpressions() { + VectorExpression[] partitionExpressions = vectorPTFInfo.getPartitionExpressions(); + if (partitionExpressions == null) { + return null; + } + return Arrays.toString(partitionExpressions); + } + + @Explain(vectorization = Vectorization.EXPRESSION, displayName = "orderExpressions", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getOrderExpressions() { + VectorExpression[] orderExpressions = vectorPTFInfo.getOrderExpressions(); + if (orderExpressions == null) { + return null; + } + return Arrays.toString(orderExpressions); + } + + @Explain(vectorization = Vectorization.EXPRESSION, displayName = "evaluatorClasses", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getEvaluatorClasses() { + + VectorPTFEvaluatorBase[] evaluators = VectorPTFDesc.getEvaluators(vectorPTFDesc, vectorPTFInfo); + + ArrayList result = new ArrayList(evaluators.length); + for (VectorPTFEvaluatorBase evaluator : evaluators) { + result.add(evaluator.getClass().getSimpleName()); + } + return result.toString(); + } + + @Explain(vectorization = Vectorization.DETAIL, displayName = "outputColumns", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getOutputColumns() { + return Arrays.toString(vectorPTFInfo.getOutputColumnMap()); + } + + @Explain(vectorization = Vectorization.DETAIL, displayName = "outputTypes", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getOutputTypes() { + return Arrays.toString(vectorPTFDesc.getOutputTypeInfos()); + } + + @Explain(vectorization = Vectorization.DETAIL, displayName = "keyInputColumns", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getKeyInputColumns() { + return Arrays.toString(vectorPTFInfo.getKeyInputColumnMap()); + } + + @Explain(vectorization = Vectorization.DETAIL, displayName = "nonKeyInputColumns", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getNonKeyInputColumns() { + return Arrays.toString(vectorPTFInfo.getNonKeyInputColumnMap()); + } + + @Explain(vectorization = Vectorization.DETAIL, displayName = "streamingColumns", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public String getStreamingColumns() { + VectorPTFEvaluatorBase[] evaluators = VectorPTFDesc.getEvaluators(vectorPTFDesc, vectorPTFInfo); + ArrayList result = new ArrayList(); + for (VectorPTFEvaluatorBase evaluator : evaluators) { + if (evaluator.streamsResult()) { + result.add(evaluator.getOutputColumnNum()); + } + } + return result.toString(); + } + } + + @Explain(vectorization = Vectorization.OPERATOR, displayName = "PTF Vectorization", explainLevels = { Level.DEFAULT, Level.EXTENDED }) + public PTFOperatorExplainVectorization getPTFVectorization() { + if (vectorDesc == null) { + return null; + } + return new PTFOperatorExplainVectorization(this, vectorDesc); + } } diff --git ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFDesc.java ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFDesc.java new file mode 100644 index 0000000..a2f4cbc --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFDesc.java @@ -0,0 +1,360 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.plan; + +import java.util.ArrayList; +import java.util.HashMap; +import java.util.List; +import java.util.TreeSet; + +import org.apache.commons.lang.ArrayUtils; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorBase; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorCount; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorCountStar; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalAvg; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalFirstValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalLastValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalMax; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalMin; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDecimalSum; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDenseRank; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleAvg; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleFirstValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleLastValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleMax; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleMin; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorDoubleSum; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongAvg; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongFirstValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongLastValue; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongMax; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongMin; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorLongSum; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorRank; +import org.apache.hadoop.hive.ql.exec.vector.ptf.VectorPTFEvaluatorRowNumber; +import org.apache.hadoop.hive.ql.plan.ptf.WindowFrameDef; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; + +/** + * VectorPTFDesc. + * + * Extra parameters beyond PTFDesc just for the VectorPTFOperator. + * + * We don't extend PTFDesc because the base OperatorDesc doesn't support + * clone and adding it is a lot work for little gain. + */ +public class VectorPTFDesc extends AbstractVectorDesc { + + private static final long serialVersionUID = 1L; + + public static enum SupportedFunctionType { + ROW_NUMBER, + RANK, + DENSE_RANK, + MIN, + MAX, + SUM, + AVG, + FIRST_VALUE, + LAST_VALUE, + COUNT + } + + public static HashMap supportedFunctionsMap = + new HashMap(); + static { + supportedFunctionsMap.put("row_number", SupportedFunctionType.ROW_NUMBER); + supportedFunctionsMap.put("rank", SupportedFunctionType.RANK); + supportedFunctionsMap.put("dense_rank", SupportedFunctionType.DENSE_RANK); + supportedFunctionsMap.put("min", SupportedFunctionType.MIN); + supportedFunctionsMap.put("max", SupportedFunctionType.MAX); + supportedFunctionsMap.put("sum", SupportedFunctionType.SUM); + supportedFunctionsMap.put("avg", SupportedFunctionType.AVG); + supportedFunctionsMap.put("first_value", SupportedFunctionType.FIRST_VALUE); + supportedFunctionsMap.put("last_value", SupportedFunctionType.LAST_VALUE); + supportedFunctionsMap.put("count", SupportedFunctionType.COUNT); + } + public static List supportedFunctionNames = new ArrayList(); + static { + TreeSet treeSet = new TreeSet(); + treeSet.addAll(supportedFunctionsMap.keySet()); + supportedFunctionNames.addAll(treeSet); + } + + private boolean isPartitionOrderBy; + + private String[] evaluatorFunctionNames; + private WindowFrameDef[] evaluatorWindowFrameDefs; + private List[] evaluatorInputExprNodeDescLists; + + private ExprNodeDesc[] orderExprNodeDescs; + private ExprNodeDesc[] partitionExprNodeDescs; + + private String[] outputColumnNames; + private TypeInfo[] outputTypeInfos; + + private VectorPTFInfo vectorPTFInfo; + + public VectorPTFDesc() { + isPartitionOrderBy = false; + + evaluatorFunctionNames = null; + evaluatorInputExprNodeDescLists = null; + + orderExprNodeDescs = null; + partitionExprNodeDescs = null; + + outputColumnNames = null; + outputTypeInfos = null; + } + + // We provide this public method to help EXPLAIN VECTORIZATION show the evaluator classes. + public static VectorPTFEvaluatorBase getEvaluator(SupportedFunctionType functionType, + WindowFrameDef windowFrameDef, Type columnVectorType, VectorExpression inputVectorExpression, + int outputColumnNum) { + + VectorPTFEvaluatorBase evaluator; + switch (functionType) { + case ROW_NUMBER: + evaluator = new VectorPTFEvaluatorRowNumber(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case RANK: + evaluator = new VectorPTFEvaluatorRank(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DENSE_RANK: + evaluator = new VectorPTFEvaluatorDenseRank(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case MIN: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongMin(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleMin(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalMin(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case MAX: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongMax(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleMax(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalMax(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case SUM: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongSum(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleSum(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalSum(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case AVG: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongAvg(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleAvg(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalAvg(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case FIRST_VALUE: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongFirstValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleFirstValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalFirstValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case LAST_VALUE: + switch (columnVectorType) { + case LONG: + evaluator = new VectorPTFEvaluatorLongLastValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DOUBLE: + evaluator = new VectorPTFEvaluatorDoubleLastValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + case DECIMAL: + evaluator = new VectorPTFEvaluatorDecimalLastValue(windowFrameDef, inputVectorExpression, outputColumnNum); + break; + default: + throw new RuntimeException("Unexpected column vector type " + columnVectorType + " for " + functionType); + } + break; + case COUNT: + if (inputVectorExpression == null) { + evaluator = new VectorPTFEvaluatorCountStar(windowFrameDef, inputVectorExpression, outputColumnNum); + } else { + evaluator = new VectorPTFEvaluatorCount(windowFrameDef, inputVectorExpression, outputColumnNum); + } + break; + default: + throw new RuntimeException("Unexpected function type " + functionType); + } + return evaluator; + } + + public static VectorPTFEvaluatorBase[] getEvaluators(VectorPTFDesc vectorPTFDesc, VectorPTFInfo vectorPTFInfo) { + String[] evaluatorFunctionNames = vectorPTFDesc.getEvaluatorFunctionNames(); + int evaluatorCount = evaluatorFunctionNames.length; + WindowFrameDef[] evaluatorWindowFrameDefs = vectorPTFDesc.getEvaluatorWindowFrameDefs(); + VectorExpression[] evaluatorInputExpressions = vectorPTFInfo.getEvaluatorInputExpressions(); + Type[] evaluatorInputColumnVectorTypes = vectorPTFInfo.getEvaluatorInputColumnVectorTypes(); + + int[] outputColumnMap = vectorPTFInfo.getOutputColumnMap(); + + VectorPTFEvaluatorBase[] evaluators = new VectorPTFEvaluatorBase[evaluatorCount]; + for (int i = 0; i < evaluatorCount; i++) { + String functionName = evaluatorFunctionNames[i]; + WindowFrameDef windowFrameDef = evaluatorWindowFrameDefs[i]; + SupportedFunctionType functionType = VectorPTFDesc.supportedFunctionsMap.get(functionName); + VectorExpression inputVectorExpression = evaluatorInputExpressions[i]; + final Type columnVectorType = evaluatorInputColumnVectorTypes[i]; + + // The output* arrays start at index 0 for output evaluator aggregations. + final int outputColumnNum = outputColumnMap[i]; + + VectorPTFEvaluatorBase evaluator = + VectorPTFDesc.getEvaluator( + functionType, windowFrameDef, columnVectorType, inputVectorExpression, outputColumnNum); + + evaluators[i] = evaluator; + } + return evaluators; + } + + public static int[] getStreamingColumnMap(VectorPTFEvaluatorBase[] evaluators) { + final int evaluatorCount = evaluators.length; + ArrayList streamingColumns = new ArrayList(); + for (int i = 0; i < evaluatorCount; i++) { + final VectorPTFEvaluatorBase evaluator = evaluators[i]; + if (evaluator.streamsResult()) { + streamingColumns.add(evaluator.getOutputColumnNum()); + } + } + return ArrayUtils.toPrimitive(streamingColumns.toArray(new Integer[0])); + } + + public boolean getIsPartitionOrderBy() { + return isPartitionOrderBy; + } + + public void setIsPartitionOrderBy(boolean isPartitionOrderBy) { + this.isPartitionOrderBy = isPartitionOrderBy; + } + + public String[] getEvaluatorFunctionNames() { + return evaluatorFunctionNames; + } + + public void setEvaluatorFunctionNames(String[] evaluatorFunctionNames) { + this.evaluatorFunctionNames = evaluatorFunctionNames; + } + + public WindowFrameDef[] getEvaluatorWindowFrameDefs() { + return evaluatorWindowFrameDefs; + } + + public void setEvaluatorWindowFrameDefs(WindowFrameDef[] evaluatorWindowFrameDefs) { + this.evaluatorWindowFrameDefs = evaluatorWindowFrameDefs; + } + + public List[] getEvaluatorInputExprNodeDescLists() { + return evaluatorInputExprNodeDescLists; + } + + public void setEvaluatorInputExprNodeDescLists(List[] evaluatorInputExprNodeDescLists) { + this.evaluatorInputExprNodeDescLists = evaluatorInputExprNodeDescLists; + } + + public ExprNodeDesc[] getOrderExprNodeDescs() { + return orderExprNodeDescs; + } + + public void setOrderExprNodeDescs(ExprNodeDesc[] orderExprNodeDescs) { + this.orderExprNodeDescs = orderExprNodeDescs; + } + + public ExprNodeDesc[] getPartitionExprNodeDescs() { + return partitionExprNodeDescs; + } + + public void setPartitionExprNodeDescs(ExprNodeDesc[] partitionExprNodeDescs) { + this.partitionExprNodeDescs = partitionExprNodeDescs; + } + + public String[] getOutputColumnNames() { + return outputColumnNames; + } + + public void setOutputColumnNames(String[] outputColumnNames) { + this.outputColumnNames = outputColumnNames; + } + + public TypeInfo[] getOutputTypeInfos() { + return outputTypeInfos; + } + + public void setOutputTypeInfos(TypeInfo[] outputTypeInfos) { + this.outputTypeInfos = outputTypeInfos; + } + + public void setVectorPTFInfo(VectorPTFInfo vectorPTFInfo) { + this.vectorPTFInfo = vectorPTFInfo; + } + + public VectorPTFInfo getVectorPTFInfo() { + return vectorPTFInfo; + } +} diff --git ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFInfo.java ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFInfo.java new file mode 100644 index 0000000..cf7f038 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/plan/VectorPTFInfo.java @@ -0,0 +1,161 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.plan; + +import org.apache.commons.lang.ArrayUtils; +import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type; +import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; +import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; + +/** + * VectorGroupByAggregrationInfo. + * + * A convenience data structure that has information needed to vectorize reduce sink. + * + * It is created by the Vectorizer when it is determining whether it can specialize so the + * information doesn't have to be recreated again and against by the VectorPTFOperator's + * constructors and later during execution. + */ +public class VectorPTFInfo { + + private static final long serialVersionUID = 1L; + + private int[] outputColumnMap; + + private int[] orderColumnMap; + private Type[] orderColumnVectorTypes; + private VectorExpression[] orderExpressions; + + private int[] partitionColumnMap; + private Type[] partitionColumnVectorTypes; + private VectorExpression[] partitionExpressions; + + private VectorExpression[] evaluatorInputExpressions; + private Type[] evaluatorInputColumnVectorTypes; + + private int[] keyInputColumnMap; + private int[] nonKeyInputColumnMap; + + public VectorPTFInfo() { + + outputColumnMap = null; + + orderColumnMap = null; + orderColumnVectorTypes = null; + orderExpressions = null; + + partitionColumnMap = null; + partitionColumnVectorTypes = null; + partitionExpressions = null; + + evaluatorInputExpressions = null; + evaluatorInputColumnVectorTypes = null; + + keyInputColumnMap = null; + nonKeyInputColumnMap = null; + } + + public int[] getOutputColumnMap() { + return outputColumnMap; + } + + public void setOutputColumnMap(int[] outputColumnMap) { + this.outputColumnMap = outputColumnMap; + } + + public int[] getOrderColumnMap() { + return orderColumnMap; + } + + public void setOrderColumnMap(int[] orderColumnMap) { + this.orderColumnMap = orderColumnMap; + } + + public Type[] getOrderColumnVectorTypes() { + return orderColumnVectorTypes; + } + + public void setOrderColumnVectorTypes(Type[] orderColumnVectorTypes) { + this.orderColumnVectorTypes = orderColumnVectorTypes; + } + + public VectorExpression[] getOrderExpressions() { + return orderExpressions; + } + + public void setOrderExpressions(VectorExpression[] orderExpressions) { + this.orderExpressions = orderExpressions; + } + + public int[] getPartitionColumnMap() { + return partitionColumnMap; + } + + public void setPartitionColumnMap(int[] partitionColumnMap) { + this.partitionColumnMap = partitionColumnMap; + } + + public Type[] getPartitionColumnVectorTypes() { + return partitionColumnVectorTypes; + } + + public void setPartitionColumnVectorTypes(Type[] partitionColumnVectorTypes) { + this.partitionColumnVectorTypes = partitionColumnVectorTypes; + } + + public VectorExpression[] getPartitionExpressions() { + return partitionExpressions; + } + + public void setPartitionExpressions(VectorExpression[] partitionExpressions) { + this.partitionExpressions = partitionExpressions; + } + + public VectorExpression[] getEvaluatorInputExpressions() { + return evaluatorInputExpressions; + } + + public void setEvaluatorInputExpressions(VectorExpression[] evaluatorInputExpressions) { + this.evaluatorInputExpressions = evaluatorInputExpressions; + } + + public Type[] getEvaluatorInputColumnVectorTypes() { + return evaluatorInputColumnVectorTypes; + } + + public void setEvaluatorInputColumnVectorTypes(Type[] evaluatorInputColumnVectorTypes) { + this.evaluatorInputColumnVectorTypes = evaluatorInputColumnVectorTypes; + } + + public int[] getKeyInputColumnMap() { + return keyInputColumnMap; + } + + public void setKeyInputColumnMap(int[] keyInputColumnMap) { + this.keyInputColumnMap = keyInputColumnMap; + } + + public int[] getNonKeyInputColumnMap() { + return nonKeyInputColumnMap; + } + + public void setNonKeyInputColumnMap(int[] nonKeyInputColumnMap) { + this.nonKeyInputColumnMap = nonKeyInputColumnMap; + } +} diff --git ql/src/java/org/apache/hadoop/hive/ql/plan/ptf/WindowFrameDef.java ql/src/java/org/apache/hadoop/hive/ql/plan/ptf/WindowFrameDef.java index 0af878b..346abe3 100644 --- ql/src/java/org/apache/hadoop/hive/ql/plan/ptf/WindowFrameDef.java +++ ql/src/java/org/apache/hadoop/hive/ql/plan/ptf/WindowFrameDef.java @@ -78,6 +78,6 @@ public int getWindowSize() { @Override public String toString() { - return start + "~" + end; + return windowType + " " + start + "~" + end; } } diff --git ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFLeadLag.java ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFLeadLag.java index b3b36bc..bec0370 100644 --- ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFLeadLag.java +++ ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFLeadLag.java @@ -146,7 +146,9 @@ public void setAmt(int amt) { @Override public String getDisplayString(String[] children) { - assert (children.length == 2); + if (children.length != 2) { + return _getFnName() + "(...)"; + } return getStandardDisplayString(_getFnName(), children); } diff --git ql/src/test/queries/clientpositive/vector_groupby_cube1.q ql/src/test/queries/clientpositive/vector_groupby_cube1.q index fd2f0de..1f7b467 100644 --- ql/src/test/queries/clientpositive/vector_groupby_cube1.q +++ ql/src/test/queries/clientpositive/vector_groupby_cube1.q @@ -1,6 +1,9 @@ +SET hive.vectorized.execution.enabled=false; +SET hive.vectorized.execution.reduce.enabled=true; set hive.mapred.mode=nonstrict; set hive.map.aggr=true; set hive.groupby.skewindata=false; +set hive.fetch.task.conversion=none; -- SORT_QUERY_RESULTS @@ -8,31 +11,31 @@ CREATE TABLE T1(key STRING, val STRING) STORED AS TEXTFILE; LOAD DATA LOCAL INPATH '../../data/files/T1.txt' INTO TABLE T1; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY CUBE(key, val); SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, val, GROUPING__ID, count(1) FROM T1 GROUP BY key, val with cube; SELECT key, val, GROUPING__ID, count(1) FROM T1 GROUP BY key, val with cube; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube; SELECT key, count(distinct val) FROM T1 GROUP BY key with cube; set hive.groupby.skewindata=true; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube; SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube; SELECT key, count(distinct val) FROM T1 GROUP BY key with cube; @@ -43,7 +46,7 @@ set hive.multigroupby.singlereducer=true; CREATE TABLE T2(key1 STRING, key2 STRING, val INT) STORED AS TEXTFILE; CREATE TABLE T3(key1 STRING, key2 STRING, val INT) STORED AS TEXTFILE; -EXPLAIN +EXPLAIN VECTORIZATION DETAIL FROM T1 INSERT OVERWRITE TABLE T2 SELECT key, val, count(1) group by key, val with cube INSERT OVERWRITE TABLE T3 SELECT key, val, sum(1) group by key, val with cube; diff --git ql/src/test/queries/clientpositive/vector_groupby_grouping_id1.q ql/src/test/queries/clientpositive/vector_groupby_grouping_id1.q index d957433..4b34891 100644 --- ql/src/test/queries/clientpositive/vector_groupby_grouping_id1.q +++ ql/src/test/queries/clientpositive/vector_groupby_grouping_id1.q @@ -12,12 +12,33 @@ CREATE TABLE T1 STORED AS ORC AS SELECT * FROM T1_text; -- SORT_QUERY_RESULTS +EXPLAIN VECTORIZATION DETAIL SELECT key, val, GROUPING__ID from T1 group by key, val with cube; + +SELECT key, val, GROUPING__ID from T1 group by key, val with cube; + +EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID from T1 group by cube(key, val); + SELECT key, val, GROUPING__ID from T1 group by cube(key, val); +EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, key, val from T1 group by key, val with rollup; + SELECT GROUPING__ID, key, val from T1 group by key, val with rollup; + +EXPLAIN VECTORIZATION DETAIL SELECT GROUPING__ID, key, val from T1 group by rollup (key, val); +SELECT GROUPING__ID, key, val from T1 group by rollup (key, val); + +EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by key, val with cube; + SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by key, val with cube; + +EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by cube(key, val); + SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by cube(key, val); diff --git ql/src/test/queries/clientpositive/vector_groupby_grouping_id2.q ql/src/test/queries/clientpositive/vector_groupby_grouping_id2.q index c4f6722..fa14b4d 100644 --- ql/src/test/queries/clientpositive/vector_groupby_grouping_id2.q +++ ql/src/test/queries/clientpositive/vector_groupby_grouping_id2.q @@ -14,9 +14,24 @@ set hive.groupby.skewindata = true; -- SORT_QUERY_RESULTS +EXPLAIN VECTORIZATION DETAIL SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP; + +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP; + +EXPLAIN VECTORIZATION DETAIL SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP (key, value); +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP (key, value); + +EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID; + SELECT GROUPING__ID, count(*) FROM ( @@ -24,6 +39,7 @@ SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLU ) t GROUP BY GROUPING__ID; +EXPLAIN VECTORIZATION DETAIL SELECT GROUPING__ID, count(*) FROM ( @@ -31,12 +47,31 @@ SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP(key, value) ) t GROUP BY GROUPING__ID; +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP(key, value) +) t +GROUP BY GROUPING__ID; +EXPLAIN VECTORIZATION DETAIL SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 ON t1.GROUPING__ID = t2.GROUPING__ID; +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID; + + +EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key,value)) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key, value)) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID; + SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key,value)) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key, value)) t2 @@ -48,8 +83,12 @@ ON t1.GROUPING__ID = t2.GROUPING__ID; set hive.groupby.skewindata = false; +EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP; + SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP; +EXPLAIN VECTORIZATION DETAIL SELECT GROUPING__ID, count(*) FROM ( @@ -57,6 +96,19 @@ SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLU ) t GROUP BY GROUPING__ID; +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID; + +EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID; + SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 diff --git ql/src/test/queries/clientpositive/vector_groupby_grouping_window.q ql/src/test/queries/clientpositive/vector_groupby_grouping_window.q index c025c4f..4daa3ea 100644 --- ql/src/test/queries/clientpositive/vector_groupby_grouping_window.q +++ ql/src/test/queries/clientpositive/vector_groupby_grouping_window.q @@ -1,6 +1,7 @@ set hive.explain.user=false; SET hive.vectorized.execution.enabled=true; SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; set hive.fetch.task.conversion=none; set hive.cli.print.header=true; diff --git ql/src/test/queries/clientpositive/vector_outer_reference_windowed.q ql/src/test/queries/clientpositive/vector_outer_reference_windowed.q new file mode 100644 index 0000000..bc36b5b --- /dev/null +++ ql/src/test/queries/clientpositive/vector_outer_reference_windowed.q @@ -0,0 +1,91 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +DROP TABLE IF EXISTS e011_01; +DROP TABLE IF EXISTS e011_02; +DROP TABLE IF EXISTS e011_03; + +CREATE TABLE e011_01 ( + c1 decimal(15,2), + c2 decimal(15,2)) + STORED AS TEXTFILE; + +CREATE TABLE e011_02 ( + c1 decimal(15,2), + c2 decimal(15,2)); + +CREATE TABLE e011_03 ( + c1 decimal(15,2), + c2 decimal(15,2)); + +LOAD DATA + LOCAL INPATH '../../data/files/e011_01.txt' + OVERWRITE + INTO TABLE e011_01; + +INSERT INTO TABLE e011_02 + SELECT c1, c2 + FROM e011_01; + +INSERT INTO TABLE e011_03 + SELECT c1, c2 + FROM e011_01; + +ANALYZE TABLE e011_01 COMPUTE STATISTICS FOR COLUMNS; +ANALYZE TABLE e011_02 COMPUTE STATISTICS FOR COLUMNS; +ANALYZE TABLE e011_03 COMPUTE STATISTICS FOR COLUMNS; + +set hive.explain.user=false; + +explain vectorization detail +select sum(sum(c1)) over() from e011_01; +select sum(sum(c1)) over() from e011_01; + +explain vectorization detail +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2; +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2; + +explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2; +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2; + +explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2; +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2; + +explain vectorization detail +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2; +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2; diff --git ql/src/test/queries/clientpositive/vector_ptf_part_simple.q ql/src/test/queries/clientpositive/vector_ptf_part_simple.q index 4f3a538..bd3b3e4 100644 --- ql/src/test/queries/clientpositive/vector_ptf_part_simple.q +++ ql/src/test/queries/clientpositive/vector_ptf_part_simple.q @@ -1,5 +1,6 @@ set hive.cli.print.header=true; SET hive.vectorized.execution.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; set hive.fetch.task.conversion=none; create table vector_ptf_part_simple_text(p_mfgr string, p_name string, p_retailprice double) @@ -13,6 +14,9 @@ INSERT INTO TABLE vector_ptf_part_simple_orc SELECT * FROM vector_ptf_part_simpl select * from vector_ptf_part_simple_orc; +-- ROW_NUMBER, RANK, DENSE_RANK, FIRST_VALUE, LAST_VALUE, COUNT, COUNT(*) + +-- PARTITION BY explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -35,6 +39,53 @@ count(p_retailprice) over(partition by p_mfgr) as c, count(*) over(partition by p_mfgr) as cs from vector_ptf_part_simple_orc; +-- RANGE + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +-- ROWS + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +-- PARTITION BY, ORDER BY explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -57,6 +108,7 @@ count(p_retailprice) over(partition by p_mfgr order by p_name) as c, count(*) over(partition by p_mfgr order by p_name) as cs from vector_ptf_part_simple_orc; +-- RANGE explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -79,6 +131,101 @@ count(p_retailprice) over(partition by p_mfgr order by p_name range between unbo count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc; +-- ROWS + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +-- ORDER BY + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc; + +-- RANGE + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +-- ROWS + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc; + +-- SUM, MIN, MAX, avg + +-- PARTITION BY explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -95,6 +242,42 @@ max(p_retailprice) over(partition by p_mfgr) as ma, avg(p_retailprice) over(partition by p_mfgr) as av from vector_ptf_part_simple_orc; +-- RANGE + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + + +-- ROW + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +-- PARTITION BY, ORDER BY explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -111,6 +294,7 @@ max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, avg(p_retailprice) over(partition by p_mfgr order by p_name) as av from vector_ptf_part_simple_orc; +-- RANGE explain vectorization detail select p_mfgr,p_name, p_retailprice, @@ -128,9 +312,8 @@ avg(p_retailprice) over(partition by p_mfgr order by p_name range between unboun from vector_ptf_part_simple_orc; --- -- ROW --- + explain vectorization detail select p_mfgr,p_name, p_retailprice, sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, @@ -146,6 +329,59 @@ max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbound avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc; +-- PARTITION BY, ORDER BY + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av +from vector_ptf_part_simple_orc; + +-- RANGE + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + + +-- ROW + +explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc; + +-- DECIMAL create table vector_ptf_part_simple_text_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) ROW FORMAT DELIMITED diff --git ql/src/test/queries/clientpositive/vector_windowing.q ql/src/test/queries/clientpositive/vector_windowing.q new file mode 100644 index 0000000..4bcd77e --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing.q @@ -0,0 +1,791 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +set hive.mapred.mode=nonstrict; +set mapred.reduce.tasks=4; +-- SORT_QUERY_RESULTS + +-- 1. testWindowing +explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; + +-- 2. testGroupByWithPartitioning +explain vectorization detail +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +; +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +; + +-- 3. testGroupByHavingWithSWQ +explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +; +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +; + +-- 4. testCount +explain vectorization detail +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +; +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +; + +-- 5. testCountWithWindowingUDAF +explain vectorization detail +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +; +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +; + +-- 6. testCountInSubQ +explain vectorization detail +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1; +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1; + +-- 7. testJoinWithWindowingAndPTF +explain vectorization detail +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +; +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +; + +-- 8. testMixedCaseAlias +explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +; +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +; + +-- 9. testHavingWithWindowingNoGBY +explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; + +-- 10. testHavingWithWindowingCondRankNoGBY +explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +; + +-- 11. testFirstLast +explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +-- 12. testFirstLastWithWhere +explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +-- 13. testSumWindow +explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +-- 14. testNoSortClause +explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +-- 15. testExpressions +explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 16. testMultipleWindows +explain vectorization detail +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 17. testCountStar +explain vectorization detail +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 18. testUDAFs +explain vectorization detail +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 19. testUDAFsWithGBY +explain vectorization detail +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 20. testSTATs +explain vectorization detail +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 21. testDISTs +explain vectorization detail +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +-- 22. testViewAsTableInputWithWindowing +explain vectorization detail +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand; +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand; + +explain vectorization detail +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand; +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand; + +select p_mfgr, p_brand, s, +round(sum(s) over w1 ,2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_brand rows between 2 preceding and current row); + +-- 23. testCreateViewWithWindowingQuery +explain vectorization detail +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row); +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row); + +explain vectorization detail +select * from mfgr_brand_price_view; +select * from mfgr_brand_price_view; + +-- 24. testLateralViews +explain vectorization detail +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row); +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row); + +-- 25. testMultipleInserts3SWQs +CREATE TABLE part_1( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE); + +CREATE TABLE part_2( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +cud INT, +s2 DOUBLE, +fv1 INT); + +CREATE TABLE part_3( +p_mfgr STRING, +p_name STRING, +p_size INT, +c INT, +ca INT, +fv INT); + +explain vectorization detail +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following); + +select * from part_1; + +select * from part_2; + +select * from part_3; + +-- 26. testGroupByHavingWithSWQAndAlias +explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +; +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +; + +-- 27. testMultipleRangeWindows +explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following); +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following); + +-- 28. testPartOrderInUDAFInvoke +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part; +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part; + +-- 29. testPartOrderInWdwDef +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following); +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following); + +-- 30. testDefaultPartitioningSpecRules +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name); +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name); + +-- 31. testWindowCrossReference +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1; +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1; + + +-- 32. testWindowInheritance +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row); +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row); + + +-- 33. testWindowForwardReference +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row); +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row); + + +-- 34. testWindowDefinitionPropagation +explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row); +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row); + +-- 35. testDistinctWithWindowing +explain vectorization detail +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following); + +-- 36. testRankWithPartitioning +explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part; +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part; + +-- 37. testPartitioningVariousForms +explain vectorization detail +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part; +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part; + +-- 38. testPartitioningVariousForms2 +explain vectorization detail +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part; +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part; + +-- 39. testUDFOnOrderCols +explain vectorization detail +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part; +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part; + +-- 40. testNoBetweenForRows +explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part ; +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part ; + +-- 41. testNoBetweenForRange +explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part ; + +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part ; + +-- 42. testUnboundedFollowingForRows +explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part ; +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part ; + +-- 43. testUnboundedFollowingForRange +explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part ; +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part ; + +-- 44. testOverNoPartitionSingleAggregate +explain vectorization detail +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name; +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name; + +-- 45. empty partition test +explain vectorization detail +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +; +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +; + +-- 46. window sz is same as partition sz +explain vectorization detail +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1'; +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1'; + +-- 47. empty partition +explain vectorization detail +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1'; +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1'; diff --git ql/src/test/queries/clientpositive/vector_windowing_expressions.q ql/src/test/queries/clientpositive/vector_windowing_expressions.q new file mode 100644 index 0000000..7d8c5d5 --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_expressions.q @@ -0,0 +1,94 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +; +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +; + +explain vectorization detail +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +; +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +; + +explain vectorization detail +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100; +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100; +explain vectorization detail +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100; +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100; +explain vectorization detail +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100; +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100; +explain vectorization detail +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100; +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100; + +explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part; +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part; + +explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part; +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part; + +-- multi table insert test +create table t1 (a1 int, b1 string); +create table t2 (a1 int, b1 string); +explain vectorization detail +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * ; +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * ; +select * from t1 limit 3; +select * from t2 limit 3; + +explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11; +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11; diff --git ql/src/test/queries/clientpositive/vector_windowing_gby.q ql/src/test/queries/clientpositive/vector_windowing_gby.q new file mode 100644 index 0000000..c7e9e7c --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_gby.q @@ -0,0 +1,21 @@ +set hive.explain.user=false; +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +set hive.mapred.mode=nonstrict; + +explain vectorization detail + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +; + + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +; diff --git ql/src/test/queries/clientpositive/vector_windowing_gby2.q ql/src/test/queries/clientpositive/vector_windowing_gby2.q new file mode 100644 index 0000000..2f51bcb --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_gby2.q @@ -0,0 +1,48 @@ +set hive.explain.user=false; +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +set hive.mapred.mode=nonstrict; + +explain vectorization detail +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key; + +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key; + +explain vectorization detail +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int); + +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int); + +explain vectorization detail +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value; + +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value; + +explain vectorization detail +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean; + +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean; diff --git ql/src/test/queries/clientpositive/vector_windowing_multipartitioning.q ql/src/test/queries/clientpositive/vector_windowing_multipartitioning.q new file mode 100644 index 0000000..cdd6e03 --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_multipartitioning.q @@ -0,0 +1,73 @@ +set hive.explain.user=false; +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +explain vectorization detail +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k; +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k; + +explain vectorization detail +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck'; +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck'; + +explain vectorization detail +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' ; +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' ; + +explain vectorization detail +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck'; +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck'; + +explain vectorization detail +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck'; +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck'; + +explain vectorization detail +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +; +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +; diff --git ql/src/test/queries/clientpositive/vector_windowing_navfn.q ql/src/test/queries/clientpositive/vector_windowing_navfn.q index 9acbe97..22011cf 100644 --- ql/src/test/queries/clientpositive/vector_windowing_navfn.q +++ ql/src/test/queries/clientpositive/vector_windowing_navfn.q @@ -1,6 +1,8 @@ set hive.explain.user=false; set hive.cli.print.header=true; SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; set hive.fetch.task.conversion=none; drop table over10k; diff --git ql/src/test/queries/clientpositive/vector_windowing_order_null.q ql/src/test/queries/clientpositive/vector_windowing_order_null.q new file mode 100644 index 0000000..35d260d --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_order_null.q @@ -0,0 +1,58 @@ +set hive.explain.user=false; +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; +load data local inpath '../../data/files/over4_null' into table over10k; + +explain vectorization detail +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10; +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10; + +explain vectorization detail +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10; +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10; + +explain vectorization detail +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10; +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10; + +explain vectorization detail +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10; +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10; + +explain vectorization detail +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3; +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3; + +explain vectorization detail +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5; +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5; + +explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5; +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5; + +explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5; +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5; diff --git ql/src/test/queries/clientpositive/vector_windowing_range_multiorder.q ql/src/test/queries/clientpositive/vector_windowing_range_multiorder.q new file mode 100644 index 0000000..694431c --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_range_multiorder.q @@ -0,0 +1,68 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +explain vectorization detail +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100; +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100; + +explain vectorization detail +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100; +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100; + +explain vectorization detail +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100; +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100; + +explain vectorization detail +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k; +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k; + +explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100; +select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100; + +explain vectorization detail +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100; +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100; + +explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100; +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100; + +explain vectorization detail +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100; +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100; + +explain vectorization detail +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100; +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100; + +explain vectorization detail +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100; +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100; + +explain vectorization detail +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100; +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100; diff --git ql/src/test/queries/clientpositive/vector_windowing_rank.q ql/src/test/queries/clientpositive/vector_windowing_rank.q new file mode 100644 index 0000000..9f36330 --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_rank.q @@ -0,0 +1,117 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +explain vectorization detail +select s, rank() over (partition by f order by t) from over10k limit 100; +select s, rank() over (partition by f order by t) from over10k limit 100; + +explain vectorization detail +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100; +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100; + +explain vectorization detail +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100; +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100; + +explain vectorization detail +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100; +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100; + +-- If following tests fail, look for the comments in class PTFPPD::process() + +explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10; +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10; + +explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10; +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10; + +explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10; +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10; + diff --git ql/src/test/queries/clientpositive/vector_windowing_streaming.q ql/src/test/queries/clientpositive/vector_windowing_streaming.q new file mode 100644 index 0000000..424261a --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_streaming.q @@ -0,0 +1,85 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +set hive.limit.pushdown.memory.usage=.8; + +-- part tests +explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +; + +explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4; + +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4; + +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 2; + +-- over10k tests +explain vectorization detail +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5; + +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5; + +select * +from (select t, f, row_number() over(partition by t order by f) r from over10k) a +where r < 8 and t < 0; + +set hive.vectorized.execution.enabled=false; +set hive.limit.pushdown.memory.usage=0.8; + +explain vectorization detail +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5; + +drop table if exists sB; +create table sB ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5; + +select * from sB +where ctinyint is null; + +set hive.vectorized.execution.enabled=true; +set hive.limit.pushdown.memory.usage=0.8; +drop table if exists sD; + +explain vectorization detail +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5; +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5; + +select * from sD +where ctinyint is null; diff --git ql/src/test/queries/clientpositive/vector_windowing_windowspec.q ql/src/test/queries/clientpositive/vector_windowing_windowspec.q new file mode 100644 index 0000000..f2836c6 --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_windowspec.q @@ -0,0 +1,70 @@ +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table over10k; + +create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|'; + +load data local inpath '../../data/files/over10k' into table over10k; + +explain vectorization detail +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100; +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100; + +explain vectorization detail +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100; +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100; + +explain vectorization detail +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100; +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100; + +explain vectorization detail +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100; +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100; + +explain vectorization detail +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100; +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100; + +explain vectorization detail +select s, sum(i) over(partition by ts order by s) from over10k limit 100; +select s, sum(i) over(partition by ts order by s) from over10k limit 100; + +explain vectorization detail +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100; +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100; + +explain vectorization detail +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100; +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100; + +explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7; +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7; + +explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7; +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7; + +set hive.cbo.enable=false; +-- HIVE-9228 +explain vectorization detail +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7; +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7; diff --git ql/src/test/queries/clientpositive/vector_windowing_windowspec4.q ql/src/test/queries/clientpositive/vector_windowing_windowspec4.q new file mode 100644 index 0000000..a787a43 --- /dev/null +++ ql/src/test/queries/clientpositive/vector_windowing_windowspec4.q @@ -0,0 +1,37 @@ +--Test small dataset with larger windowing + +set hive.cli.print.header=true; +SET hive.vectorized.execution.enabled=true; +SET hive.vectorized.execution.reduce.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; +set hive.fetch.task.conversion=none; + +drop table if exists smalltable_windowing; + +create table smalltable_windowing( + i int, + type string); +insert into smalltable_windowing values(3, 'a'), (1, 'a'), (2, 'a'); + +explain vectorization detail +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing; + +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing; diff --git ql/src/test/queries/clientpositive/vectorized_ptf.q ql/src/test/queries/clientpositive/vectorized_ptf.q index dbc7ca6..7f5a055 100644 --- ql/src/test/queries/clientpositive/vectorized_ptf.q +++ ql/src/test/queries/clientpositive/vectorized_ptf.q @@ -1,4 +1,5 @@ SET hive.vectorized.execution.enabled=true; +set hive.vectorized.execution.ptf.enabled=true; set hive.fetch.task.conversion=none; -- SORT_QUERY_RESULTS diff --git ql/src/test/results/clientpositive/correlationoptimizer12.q.out ql/src/test/results/clientpositive/correlationoptimizer12.q.out index 23443ee..ee9a6e7 100644 --- ql/src/test/results/clientpositive/correlationoptimizer12.q.out +++ ql/src/test/results/clientpositive/correlationoptimizer12.q.out @@ -57,7 +57,7 @@ STAGE PLANS: arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), count_window_0 (type: bigint) @@ -142,7 +142,7 @@ STAGE PLANS: arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), count_window_0 (type: bigint) diff --git ql/src/test/results/clientpositive/ctas_colname.q.out ql/src/test/results/clientpositive/ctas_colname.q.out index b0cab7e..8d61c9d 100644 --- ql/src/test/results/clientpositive/ctas_colname.q.out +++ ql/src/test/results/clientpositive/ctas_colname.q.out @@ -190,7 +190,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -354,7 +354,7 @@ STAGE PLANS: arguments: _col0, 1 name: lead window function: GenericUDAFLeadEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/distinct_windowing.q.out ql/src/test/results/clientpositive/distinct_windowing.q.out index 1605a62..197687a 100644 --- ql/src/test/results/clientpositive/distinct_windowing.q.out +++ ql/src/test/results/clientpositive/distinct_windowing.q.out @@ -91,7 +91,7 @@ STAGE PLANS: arguments: _col0 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 84795 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: first_value_window_0 (type: tinyint) @@ -208,7 +208,7 @@ STAGE PLANS: arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: last_value_window_0 (type: int) @@ -330,13 +330,13 @@ STAGE PLANS: arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: first_value_window_1 arguments: _col0 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 84795 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: last_value_window_0 (type: int), first_value_window_1 (type: tinyint) diff --git ql/src/test/results/clientpositive/distinct_windowing_no_cbo.q.out ql/src/test/results/clientpositive/distinct_windowing_no_cbo.q.out index aac939f..85d0777 100644 --- ql/src/test/results/clientpositive/distinct_windowing_no_cbo.q.out +++ ql/src/test/results/clientpositive/distinct_windowing_no_cbo.q.out @@ -91,7 +91,7 @@ STAGE PLANS: arguments: _col0 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 84795 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: first_value_window_0 (type: tinyint) @@ -208,7 +208,7 @@ STAGE PLANS: arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: last_value_window_0 (type: int) @@ -330,13 +330,13 @@ STAGE PLANS: arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: first_value_window_1 arguments: _col0 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 84795 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: last_value_window_0 (type: int), first_value_window_1 (type: tinyint) @@ -540,7 +540,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 21198 Data size: 169584 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -680,7 +680,7 @@ STAGE PLANS: arguments: _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/groupby_grouping_window.q.out ql/src/test/results/clientpositive/groupby_grouping_window.q.out index 4fc36ed..32135e4 100644 --- ql/src/test/results/clientpositive/groupby_grouping_window.q.out +++ ql/src/test/results/clientpositive/groupby_grouping_window.q.out @@ -110,7 +110,7 @@ STAGE PLANS: arguments: _col3 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 6 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/llap/groupby_resolution.q.out ql/src/test/results/clientpositive/llap/groupby_resolution.q.out index 1bfde2f..d3b85f8 100644 --- ql/src/test/results/clientpositive/llap/groupby_resolution.q.out +++ ql/src/test/results/clientpositive/llap/groupby_resolution.q.out @@ -720,7 +720,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 83 Data size: 7885 Basic stats: COMPLETE Column stats: COMPLETE Select Operator diff --git ql/src/test/results/clientpositive/llap/ptf.q.out ql/src/test/results/clientpositive/llap/ptf.q.out index c49fe07..c69ed1d 100644 --- ql/src/test/results/clientpositive/llap/ptf.q.out +++ ql/src/test/results/clientpositive/llap/ptf.q.out @@ -96,21 +96,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -306,7 +306,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 27 Data size: 6021 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -585,21 +585,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -765,21 +765,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -957,21 +957,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col2, 1, _col2 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 13 Data size: 2899 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -1460,7 +1460,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -1636,21 +1636,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -1812,21 +1812,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2049,21 +2049,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2235,13 +2235,13 @@ STAGE PLANS: arguments: _col5 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_1 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint), round(sum_window_1, 2) (type: double) @@ -2453,33 +2453,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 27 Data size: 20709 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -2819,7 +2819,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~CURRENT + window frame: ROWS PRECEDING(2)~CURRENT Statistics: Num rows: 13 Data size: 2574 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), round(sum_window_0, 2) (type: double) @@ -3041,21 +3041,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -3094,7 +3094,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(5)~CURRENT + window frame: RANGE PRECEDING(5)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: sum_window_0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) @@ -3131,28 +3131,28 @@ STAGE PLANS: arguments: _col3, _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 arguments: _col3, _col2 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: cume_dist_window_3 arguments: _col3, _col2 name: cume_dist window function: GenericUDAFCumeDistEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_4 arguments: _col6, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col3 (type: string), _col2 (type: string), _col6 (type: int), UDFToInteger(round(_col0, 1)) (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), cume_dist_window_3 (type: double), first_value_window_4 (type: int) @@ -3492,21 +3492,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -3763,21 +3763,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4009,21 +4009,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4293,21 +4293,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4558,21 +4558,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) @@ -4810,21 +4810,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) diff --git ql/src/test/results/clientpositive/llap/ptf_streaming.q.out ql/src/test/results/clientpositive/llap/ptf_streaming.q.out index 6106fee..3b3b13d 100644 --- ql/src/test/results/clientpositive/llap/ptf_streaming.q.out +++ ql/src/test/results/clientpositive/llap/ptf_streaming.q.out @@ -96,21 +96,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -306,7 +306,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 27 Data size: 6021 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -632,7 +632,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -808,21 +808,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1045,21 +1045,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1284,21 +1284,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1523,21 +1523,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1743,33 +1743,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 27 Data size: 20709 Basic stats: COMPLETE Column stats: COMPLETE Select Operator @@ -2022,21 +2022,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -2293,21 +2293,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -2547,21 +2547,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) diff --git ql/src/test/results/clientpositive/llap/subquery_in.q.out ql/src/test/results/clientpositive/llap/subquery_in.q.out index 5c94c6e..6596b68 100644 --- ql/src/test/results/clientpositive/llap/subquery_in.q.out +++ ql/src/test/results/clientpositive/llap/subquery_in.q.out @@ -346,7 +346,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -520,7 +520,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator diff --git ql/src/test/results/clientpositive/llap/subquery_notin.q.out ql/src/test/results/clientpositive/llap/subquery_notin.q.out index e4aee8e..79a4dda 100644 --- ql/src/test/results/clientpositive/llap/subquery_notin.q.out +++ ql/src/test/results/clientpositive/llap/subquery_notin.q.out @@ -429,7 +429,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -491,7 +491,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -714,7 +714,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -775,7 +775,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -972,7 +972,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -1111,7 +1111,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator @@ -1176,7 +1176,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator diff --git ql/src/test/results/clientpositive/llap/subquery_scalar.q.out ql/src/test/results/clientpositive/llap/subquery_scalar.q.out index a6d1328..a65147a 100644 --- ql/src/test/results/clientpositive/llap/subquery_scalar.q.out +++ ql/src/test/results/clientpositive/llap/subquery_scalar.q.out @@ -1036,7 +1036,7 @@ STAGE PLANS: arguments: _col5 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: first_value_window_0 (type: int) @@ -1104,7 +1104,7 @@ STAGE PLANS: arguments: _col5 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 9620 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: first_value_window_0 (type: int) diff --git ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out index 0b3406f..ced38dc 100644 --- ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out +++ ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out @@ -14,12 +14,16 @@ POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/T1.txt' INTO TABLE T1 POSTHOOK: type: LOAD #### A masked pattern was here #### POSTHOOK: Output: default@t1 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -43,6 +47,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), val (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -60,6 +70,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col3 @@ -83,12 +99,16 @@ STAGE PLANS: Processor Tree: ListSink -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY CUBE(key, val) PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY CUBE(key, val) POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -112,6 +132,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), val (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -129,6 +155,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col3 @@ -178,12 +210,16 @@ NULL 17 1 NULL 18 1 NULL 28 1 NULL NULL 6 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, GROUPING__ID, count(1) FROM T1 GROUP BY key, val with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, GROUPING__ID, count(1) FROM T1 GROUP BY key, val with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -207,6 +243,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: _col0 (type: string), _col1 (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -224,6 +266,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 @@ -272,12 +320,16 @@ NULL 17 2 1 NULL 18 2 1 NULL 28 2 1 NULL NULL 3 6 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -301,6 +353,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), 0 (type: int), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -317,6 +375,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: int) mode: mergepartial outputColumnNames: _col0, _col2 @@ -354,12 +418,16 @@ POSTHOOK: Input: default@t1 7 1 8 2 NULL 6 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, val, count(1) FROM T1 GROUP BY key, val with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -384,6 +452,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), val (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -401,6 +475,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: PARTIALS + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 @@ -416,6 +496,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: FINAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: final outputColumnNames: _col0, _col1, _col3 @@ -465,12 +551,16 @@ NULL 17 1 NULL 18 1 NULL 28 1 NULL NULL 6 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL SELECT key, count(distinct val) FROM T1 GROUP BY key with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 @@ -495,6 +585,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), 0 (type: int), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -511,6 +607,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) + Group By Vectorization: + groupByMode: PARTIALS + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: int) mode: partials outputColumnNames: _col0, _col1, _col2 @@ -526,6 +628,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: FINAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: int) mode: final outputColumnNames: _col0, _col2 @@ -579,16 +687,20 @@ POSTHOOK: query: CREATE TABLE T3(key1 STRING, key2 STRING, val INT) STORED AS TE POSTHOOK: type: CREATETABLE POSTHOOK: Output: database:default POSTHOOK: Output: default@T3 -PREHOOK: query: EXPLAIN +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL FROM T1 INSERT OVERWRITE TABLE T2 SELECT key, val, count(1) group by key, val with cube INSERT OVERWRITE TABLE T3 SELECT key, val, sum(1) group by key, val with cube PREHOOK: type: QUERY -POSTHOOK: query: EXPLAIN +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL FROM T1 INSERT OVERWRITE TABLE T2 SELECT key, val, count(1) group by key, val with cube INSERT OVERWRITE TABLE T3 SELECT key, val, sum(1) group by key, val with cube POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + STAGE DEPENDENCIES: Stage-2 is a root stage Stage-3 depends on stages: Stage-2 @@ -619,6 +731,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), val (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -635,6 +753,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 30 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: key (type: string), val (type: string), 0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 @@ -652,6 +776,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: PARTIALS + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 @@ -667,6 +797,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) + Group By Vectorization: + groupByMode: FINAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: final outputColumnNames: _col0, _col1, _col3 @@ -689,6 +825,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: PARTIALS + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 @@ -704,6 +846,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: FINAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) mode: final outputColumnNames: _col0, _col1, _col3 diff --git ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out index 81b921c..aabe7d6 100644 --- ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out +++ ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out @@ -27,6 +27,139 @@ POSTHOOK: Output: default@T1 POSTHOOK: Lineage: t1.key SIMPLE [(t1_text)t1_text.FieldSchema(name:key, type:string, comment:null), ] POSTHOOK: Lineage: t1.val SIMPLE [(t1_text)t1_text.FieldSchema(name:val, type:string, comment:null), ] t1_text.key t1_text.val +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID from T1 group by key, val with cube +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID from T1 group by key, val with cube +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, val, GROUPING__ID from T1 group by key, val with cube PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -54,6 +187,139 @@ NULL 17 2 NULL 18 2 NULL 28 2 NULL NULL 3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID from T1 group by cube(key, val) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID from T1 group by cube(key, val) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, val, GROUPING__ID from T1 group by cube(key, val) PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -81,6 +347,139 @@ NULL 17 2 NULL 18 2 NULL 28 2 NULL NULL 3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, key, val from T1 group by key, val with rollup +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, key, val from T1 group by key, val with rollup +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 3078 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 18 Data size: 3078 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col0 (type: string), _col1 (type: string) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 1] + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT GROUPING__ID, key, val from T1 group by key, val with rollup PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -102,6 +501,139 @@ grouping__id key val 1 7 NULL 1 8 NULL 3 NULL NULL +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, key, val from T1 group by rollup (key, val) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, key, val from T1 group by rollup (key, val) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 3078 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 18 Data size: 3078 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col0 (type: string), _col1 (type: string) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 1] + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9 Data size: 1539 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT GROUPING__ID, key, val from T1 group by rollup (key, val) PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -123,6 +655,140 @@ grouping__id key val 1 7 NULL 1 8 NULL 3 NULL NULL +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by key, val with cube +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by key, val with cube +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), CASE WHEN ((_col2 = 0)) THEN ('0') WHEN ((_col2 = 1)) THEN ('1') WHEN ((_col2 = 2)) THEN ('2') WHEN ((_col2 = 3)) THEN ('3') ELSE ('nothing') END (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 8] + selectExpressions: IfExprStringScalarStringGroupColumn(col 3, val 0, col 7)(children: LongColEqualLongScalar(col 2, val 0) -> 3:long, IfExprStringScalarStringGroupColumn(col 4, val 1, col 8)(children: LongColEqualLongScalar(col 2, val 1) -> 4:long, IfExprStringScalarStringGroupColumn(col 5, val 2, col 7)(children: LongColEqualLongScalar(col 2, val 2) -> 5:long, IfExprStringScalarStringScalar(col 6, val 3, val nothing)(children: LongColEqualLongScalar(col 2, val 3) -> 6:long) -> 7:String) -> 8:String) -> 7:String) -> 8:String + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by key, val with cube PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -150,6 +816,140 @@ NULL 17 2 2 NULL 18 2 2 NULL 28 2 2 NULL NULL 3 3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by cube(key, val) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by cube(key, val) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: string), val (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 1026 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 24 Data size: 4104 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:string, val:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), CASE WHEN ((_col2 = 0)) THEN ('0') WHEN ((_col2 = 1)) THEN ('1') WHEN ((_col2 = 2)) THEN ('2') WHEN ((_col2 = 3)) THEN ('3') ELSE ('nothing') END (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 8] + selectExpressions: IfExprStringScalarStringGroupColumn(col 3, val 0, col 7)(children: LongColEqualLongScalar(col 2, val 0) -> 3:long, IfExprStringScalarStringGroupColumn(col 4, val 1, col 8)(children: LongColEqualLongScalar(col 2, val 1) -> 4:long, IfExprStringScalarStringGroupColumn(col 5, val 2, col 7)(children: LongColEqualLongScalar(col 2, val 2) -> 5:long, IfExprStringScalarStringScalar(col 6, val 3, val nothing)(children: LongColEqualLongScalar(col 2, val 3) -> 6:long) -> 7:String) -> 8:String) -> 7:String) -> 8:String + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 12 Data size: 2052 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, val, GROUPING__ID, CASE WHEN GROUPING__ID == 0 THEN "0" WHEN GROUPING__ID == 1 THEN "1" WHEN GROUPING__ID == 2 THEN "2" WHEN GROUPING__ID == 3 THEN "3" ELSE "nothing" END from T1 group by cube(key, val) PREHOOK: type: QUERY PREHOOK: Input: default@t1 diff --git ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out index 5edd2a6..d16044c 100644 --- ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out +++ ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out @@ -27,6 +27,190 @@ POSTHOOK: Output: default@T1 POSTHOOK: Lineage: t1.key SIMPLE [(t1_text)t1_text.FieldSchema(name:key, type:int, comment:null), ] POSTHOOK: Lineage: t1.value SIMPLE [(t1_text)t1_text.FieldSchema(name:value, type:int, comment:null), ] t1_text.key t1_text.value +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [3] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 3) -> bigint + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [3] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 3) -> bigint + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -47,6 +231,190 @@ key value grouping__id _c3 4 5 0 1 4 NULL 1 1 NULL NULL 3 6 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP (key, value) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP (key, value) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [3] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 3) -> bigint + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [3] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 3) -> bigint + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP (key, value) PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -67,6 +435,296 @@ key value grouping__id _c3 4 5 0 1 4 NULL 1 1 NULL NULL 3 6 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) + Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col4 (type: int) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [1] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int) + mode: partials + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Reducer 5 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int) + mode: final + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT GROUPING__ID, count(*) FROM ( @@ -89,6 +747,296 @@ grouping__id _c1 0 6 1 4 3 1 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP(key, value) +) t +GROUP BY GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY ROLLUP(key, value) +) t +GROUP BY GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) + Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col4 (type: int) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [1] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int) + mode: partials + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Reducer 5 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [0] + keys: KEY._col0 (type: int) + mode: final + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT GROUPING__ID, count(*) FROM ( @@ -111,6 +1059,311 @@ grouping__id _c1 0 6 1 4 3 1 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) + Reducer 5 <- Map 1 (SIMPLE_EDGE) + Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reducer 4 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 5 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 6 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 @@ -179,6 +1432,311 @@ t1.grouping__id t2.grouping__id 1 1 1 1 3 3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key,value)) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key, value)) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key,value)) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key, value)) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) + Reducer 5 <- Map 1 (SIMPLE_EDGE) + Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: rand() (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reducer 4 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 5 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: PARTIALS + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: partials + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1] + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reducer 6 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: FINAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: STREAMING + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: final + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key,value)) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY ROLLUP(key, value)) t2 @@ -247,6 +1805,144 @@ t1.grouping__id t2.grouping__id 1 1 1 1 3 3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [3] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 3) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP PREHOOK: type: QUERY PREHOOK: Input: default@t1 @@ -267,6 +1963,208 @@ key value grouping__id _c3 4 5 0 1 4 NULL 1 1 NULL NULL 3 6 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT GROUPING__ID, count(*) +FROM +( +SELECT key, value, GROUPING__ID, count(*) from T1 GROUP BY key, value WITH ROLLUP +) t +GROUP BY GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + Group By Vectorization: + aggregators: VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: _col4 (type: int) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:int, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFCountMerge(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4 Data size: 26 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT GROUPING__ID, count(*) FROM ( @@ -289,6 +2187,225 @@ grouping__id _c1 0 6 1 4 3 1 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 +JOIN +(SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 +ON t1.GROUPING__ID = t2.GROUPING__ID +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) + Reducer 4 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: key (type: int), value (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1, ConstantVectorExpression(val 0) -> 2:long + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [] + keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 18 Data size: 120 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: key:int, value:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9 Data size: 66 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 9 Data size: 60 Basic stats: COMPLETE Column stats: NONE + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + PREHOOK: query: SELECT t1.GROUPING__ID, t2.GROUPING__ID FROM (SELECT GROUPING__ID FROM T1 GROUP BY key,value WITH ROLLUP) t1 JOIN (SELECT GROUPING__ID FROM T1 GROUP BY key, value WITH ROLLUP) t2 diff --git ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out index 678db83..5d0b23c 100644 --- ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out +++ ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out @@ -89,7 +89,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE value expressions: _col2 (type: int) Reducer 3 - Execution mode: llap + Execution mode: vectorized, llap Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey1 (type: int) @@ -113,7 +113,7 @@ STAGE PLANS: arguments: _col3 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out new file mode 100644 index 0000000..6a90def --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out @@ -0,0 +1,1435 @@ +PREHOOK: query: DROP TABLE IF EXISTS e011_01 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_01 +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE IF EXISTS e011_02 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_02 +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE IF EXISTS e011_03 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_03 +POSTHOOK: type: DROPTABLE +PREHOOK: query: CREATE TABLE e011_01 ( + c1 decimal(15,2), + c2 decimal(15,2)) + STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_01 +POSTHOOK: query: CREATE TABLE e011_01 ( + c1 decimal(15,2), + c2 decimal(15,2)) + STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_01 +PREHOOK: query: CREATE TABLE e011_02 ( + c1 decimal(15,2), + c2 decimal(15,2)) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_02 +POSTHOOK: query: CREATE TABLE e011_02 ( + c1 decimal(15,2), + c2 decimal(15,2)) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_02 +PREHOOK: query: CREATE TABLE e011_03 ( + c1 decimal(15,2), + c2 decimal(15,2)) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_03 +POSTHOOK: query: CREATE TABLE e011_03 ( + c1 decimal(15,2), + c2 decimal(15,2)) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_03 +PREHOOK: query: LOAD DATA + LOCAL INPATH '../../data/files/e011_01.txt' + OVERWRITE + INTO TABLE e011_01 +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@e011_01 +POSTHOOK: query: LOAD DATA + LOCAL INPATH '../../data/files/e011_01.txt' + OVERWRITE + INTO TABLE e011_01 +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@e011_01 +PREHOOK: query: INSERT INTO TABLE e011_02 + SELECT c1, c2 + FROM e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Output: default@e011_02 +POSTHOOK: query: INSERT INTO TABLE e011_02 + SELECT c1, c2 + FROM e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Output: default@e011_02 +POSTHOOK: Lineage: e011_02.c1 SIMPLE [(e011_01)e011_01.FieldSchema(name:c1, type:decimal(15,2), comment:null), ] +POSTHOOK: Lineage: e011_02.c2 SIMPLE [(e011_01)e011_01.FieldSchema(name:c2, type:decimal(15,2), comment:null), ] +c1 c2 +PREHOOK: query: INSERT INTO TABLE e011_03 + SELECT c1, c2 + FROM e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Output: default@e011_03 +POSTHOOK: query: INSERT INTO TABLE e011_03 + SELECT c1, c2 + FROM e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Output: default@e011_03 +POSTHOOK: Lineage: e011_03.c1 SIMPLE [(e011_01)e011_01.FieldSchema(name:c1, type:decimal(15,2), comment:null), ] +POSTHOOK: Lineage: e011_03.c2 SIMPLE [(e011_01)e011_01.FieldSchema(name:c2, type:decimal(15,2), comment:null), ] +c1 c2 +PREHOOK: query: ANALYZE TABLE e011_01 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Output: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_01 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Output: default@e011_01 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: ANALYZE TABLE e011_02 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_02 +PREHOOK: Output: default@e011_02 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_02 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_02 +POSTHOOK: Output: default@e011_02 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: ANALYZE TABLE e011_03 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_03 +PREHOOK: Output: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_03 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_03 +POSTHOOK: Output: default@e011_03 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: explain vectorization detail +select sum(sum(c1)) over() from e011_01 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(c1)) over() from e011_01 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: c1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0] + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(c1) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 0) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + sort order: + Reduce Sink Vectorization: + className: VectorReduceSinkEmptyKeyOperator + keyColumns: [] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [0] + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: decimal(25,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: + reduceColumnSortOrder: + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + dataColumns: VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 0) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + native: false + vectorProcessingMode: GLOBAL + projectedOutputColumns: [0] + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 0 (type: int) + sort order: + + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [1] + keyExpressions: ConstantVectorExpression(val 0) -> 1:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [0] + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: decimal(25,2)) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:int, VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(35,2), bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1] + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 0 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col0 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum] + functionInputExpressions: [col 1] + functionNames: [sum] + keyInputColumns: [] + native: true + nonKeyInputColumns: [1] + orderExpressions: [ConstantVectorExpression(val 0) -> 3:long] + outputColumns: [2, 1] + outputTypes: [decimal(35,2), decimal(25,2)] + streamingColumns: [] + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(c1)) over() from e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(c1)) over() from e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +#### A masked pattern was here #### +_c0 +16.00 +PREHOOK: query: explain vectorization detail +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: c1, c2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(c1) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 0) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:decimal(15,2), KEY._col1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 2) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:decimal(15,2), KEY.reducesinkkey1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(35,2) + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [decimal(35,2), decimal(15,2), decimal(15,2), decimal(25,2)] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: decimal(15,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Map 5 + Map Operator Tree: + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0] + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(_col0) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:decimal(15,2), KEY._col1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 2) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:decimal(15,2), KEY.reducesinkkey1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(35,2) + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [decimal(35,2), decimal(15,2), decimal(15,2), decimal(25,2)] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0] + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 4 Data size: 448 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Map 5 + Map Operator Tree: + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: decimal(15,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 1344 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(_col0) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col1 (type: decimal(15,2)), _col2 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:decimal(15,2), KEY._col1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 2) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: decimal(25,2)) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:decimal(15,2), KEY.reducesinkkey1:decimal(15,2), VALUE._col0:decimal(25,2) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(35,2) + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [decimal(35,2), decimal(15,2), decimal(15,2), decimal(25,2)] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 2 Data size: 672 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 2 Data size: 224 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: decimal(15,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Map 4 + Map Operator Tree: + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 4 Data size: 896 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: decimal(15,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 1792 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: corr(_col0, _col2) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col1 (type: decimal(15,2)), _col3 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 704 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 2 Data size: 704 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: struct) + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: Aggregation Function expression for GROUPBY operator: UDF corr not supported + vectorized: false + Reduce Operator Tree: + Group By Operator + aggregations: corr(VALUE._col0) + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 464 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)), _col2 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 464 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 2 Data size: 464 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 2 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 2 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +sum_window_0 +NULL +NULL +NULL +NULL diff --git ql/src/test/results/clientpositive/llap/vector_ptf_part_simple.q.out ql/src/test/results/clientpositive/llap/vector_ptf_part_simple.q.out index c2f5a29..805d5a2 100644 --- ql/src/test/results/clientpositive/llap/vector_ptf_part_simple.q.out +++ ql/src/test/results/clientpositive/llap/vector_ptf_part_simple.q.out @@ -164,16 +164,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint, double, double, bigint, bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -192,53 +205,72 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: rank_window_1 arguments: _col0 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 arguments: _col0 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_3 arguments: _col2 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: last_value_window_4 arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: count_window_5 arguments: _col2 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: count_window_6 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isStar: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber, VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorDoubleFirstValue, VectorPTFEvaluatorDoubleLastValue, VectorPTFEvaluatorCount, VectorPTFEvaluatorCountStar] + functionInputExpressions: [null, col 0, col 0, col 2, col 2, col 2, null] + functionNames: [row_number, rank, dense_rank, first_value, last_value, count, count] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 4, 5, 6, 7, 8, 9, 0, 1, 2] + outputTypes: [int, int, int, double, double, bigint, bigint, string, string, double] + streamingColumns: [3, 4, 5, 6] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -318,24 +350,24 @@ Manufacturer#3 almond antique forest lavender goldenrod NULL 7 1 1 590.27 99.68 Manufacturer#3 almond antique chartreuse khaki white 99.68 8 1 1 590.27 99.68 7 8 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name) as rn, -rank() over(partition by p_mfgr order by p_name) as r, -dense_rank() over(partition by p_mfgr order by p_name) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name) as c, -count(*) over(partition by p_mfgr order by p_name) as cs +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name) as rn, -rank() over(partition by p_mfgr order by p_name) as r, -dense_rank() over(partition by p_mfgr order by p_name) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name) as c, -count(*) over(partition by p_mfgr order by p_name) as cs +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -364,18 +396,17 @@ STAGE PLANS: native: true projectedOutputColumns: [0, 1, 2] Reduce Output Operator - key expressions: p_mfgr (type: string), p_name (type: string) - sort order: ++ + key expressions: p_mfgr (type: string) + sort order: + Map-reduce partition columns: p_mfgr (type: string) Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - keyColumns: [0, 1] + className: VectorReduceSinkStringOperator + keyColumns: [0] native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - partitionColumns: [0] - valueColumns: [2] + valueColumns: [1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_retailprice (type: double) + value expressions: p_name (type: string), p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -396,11 +427,11 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: row_number only CURRENT ROW end frame is supported for RANGE vectorized: false Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator @@ -412,7 +443,7 @@ STAGE PLANS: Windowing table definition input alias: ptf_1 name: windowingtablefunction - order by: _col1 ASC NULLS FIRST + order by: _col0 ASC NULLS FIRST partition by: _col0 raw input shape: window functions: @@ -420,45 +451,45 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: rank_window_1 - arguments: _col1 + arguments: _col0 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 - arguments: _col1 + arguments: _col0 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_3 arguments: _col2 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: last_value_window_4 arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: count_window_5 arguments: _col2 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: count_window_6 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT isStar: true Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -480,90 +511,90 @@ STAGE PLANS: ListSink PREHOOK: query: select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name) as rn, -rank() over(partition by p_mfgr order by p_name) as r, -dense_rank() over(partition by p_mfgr order by p_name) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name) as c, -count(*) over(partition by p_mfgr order by p_name) as cs +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name) as rn, -rank() over(partition by p_mfgr order by p_name) as r, -dense_rank() over(partition by p_mfgr order by p_name) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name) as c, -count(*) over(partition by p_mfgr order by p_name) as cs +row_number() over(partition by p_mfgr range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr range between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice rn r dr fv lv c cs -Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 -Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 -Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod NULL 3 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 5 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 -Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 -Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 -Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 -Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 -Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 -Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 -Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 -Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 1 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond antique gainsboro frosted violet NULL 4 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 6 1 1 1290.35 1206.26 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 1 1 1 1464.48 1788.73 6 6 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 2 1 1 1464.48 1788.73 6 6 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 1 1 1464.48 1788.73 6 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 4 1 1 1464.48 1788.73 6 6 +Manufacturer#5 almond antique medium spring khaki 1611.66 5 1 1 1464.48 1788.73 6 6 +Manufacturer#5 almond antique sky peru orange 1788.73 6 1 1 1464.48 1788.73 6 6 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 1 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 2 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 4 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 5 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 6 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 7 1 1 900.66 1800.7 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 8 1 1 900.66 1800.7 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 2 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 3 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 5 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique burnished rose metallic 1173.15 6 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 8 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique burnished rose metallic 1173.15 9 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 10 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 11 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 1 1 1753.76 1632.66 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 1 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique metallic orange dim 55.39 2 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique olive coral navajo 1337.29 4 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique misty red olive 1922.98 5 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod NULL 7 1 1 590.27 99.68 7 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 8 1 1 590.27 99.68 7 8 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, -rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, -dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, -count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, -rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, -dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, -count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -592,18 +623,17 @@ STAGE PLANS: native: true projectedOutputColumns: [0, 1, 2] Reduce Output Operator - key expressions: p_mfgr (type: string), p_name (type: string) - sort order: ++ + key expressions: p_mfgr (type: string) + sort order: + Map-reduce partition columns: p_mfgr (type: string) Reduce Sink Vectorization: - className: VectorReduceSinkObjectHashOperator - keyColumns: [0, 1] + className: VectorReduceSinkStringOperator + keyColumns: [0] native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - partitionColumns: [0] - valueColumns: [2] + valueColumns: [1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_retailprice (type: double) + value expressions: p_name (type: string), p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -624,11 +654,11 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: first_value UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator @@ -640,7 +670,7 @@ STAGE PLANS: Windowing table definition input alias: ptf_1 name: windowingtablefunction - order by: _col1 ASC NULLS FIRST + order by: _col0 ASC NULLS FIRST partition by: _col0 raw input shape: window functions: @@ -648,45 +678,45 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: rank_window_1 - arguments: _col1 + arguments: _col0 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 - arguments: _col1 + arguments: _col0 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_3 arguments: _col2 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: last_value_window_4 arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: count_window_5 arguments: _col2 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: count_window_6 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT isStar: true Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -708,84 +738,1978 @@ STAGE PLANS: ListSink PREHOOK: query: select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, -rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, -dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, -count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, -rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, -dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, -first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, -last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, -count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, -count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +row_number() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr rows between unbounded preceding and current row) as cs from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice rn r dr fv lv c cs -Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 -Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 -Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod NULL 3 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 5 2 2 99.68 1190.27 4 5 -Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 -Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 -Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 -Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 -Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 -Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 -Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 -Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 -Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 1 1 1 1290.35 1290.35 1 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 1 1 1290.35 1375.42 2 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 1 1 1290.35 NULL 2 3 +Manufacturer#4 almond antique gainsboro frosted violet NULL 4 1 1 1290.35 NULL 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 1 1 1290.35 1844.92 3 5 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 6 1 1 1290.35 1206.26 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 1 1 1 1464.48 1464.48 1 1 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 2 1 1 1464.48 1018.1 2 2 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 1 1 1464.48 1611.66 3 3 +Manufacturer#5 almond antique blue firebrick mint 1789.69 4 1 1 1464.48 1789.69 4 4 +Manufacturer#5 almond antique medium spring khaki 1611.66 5 1 1 1464.48 1611.66 5 5 +Manufacturer#5 almond antique sky peru orange 1788.73 6 1 1 1464.48 1788.73 6 6 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 1 1 1 900.66 900.66 1 1 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 2 1 1 900.66 1698.66 2 2 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 1 1 900.66 1800.7 3 3 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 4 1 1 900.66 1690.68 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 5 1 1 900.66 1800.7 5 5 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 6 1 1 900.66 1000.6 6 6 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 7 1 1 900.66 2031.98 7 7 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 8 1 1 900.66 1800.7 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 1 1 1753.76 1753.76 1 1 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 2 1 1 1753.76 1632.66 2 2 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 3 1 1 1753.76 1632.66 3 3 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 1 1 1753.76 1753.76 4 4 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 5 1 1 1753.76 1414.42 5 5 +Manufacturer#1 almond antique burnished rose metallic 1173.15 6 1 1 1753.76 1173.15 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 1 1 1753.76 1602.59 7 7 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 8 1 1 1753.76 1753.76 8 8 +Manufacturer#1 almond antique burnished rose metallic 1173.15 9 1 1 1753.76 1173.15 9 9 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 10 1 1 1753.76 1753.76 10 10 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 11 1 1 1753.76 NULL 10 11 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 1 1 1753.76 1632.66 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 1 1 1 590.27 590.27 1 1 +Manufacturer#3 almond antique metallic orange dim 55.39 2 1 1 590.27 55.39 2 2 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3 1 1 590.27 1190.27 3 3 +Manufacturer#3 almond antique olive coral navajo 1337.29 4 1 1 590.27 1337.29 4 4 +Manufacturer#3 almond antique misty red olive 1922.98 5 1 1 590.27 1922.98 5 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6 1 1 590.27 1190.27 6 6 +Manufacturer#3 almond antique forest lavender goldenrod NULL 7 1 1 590.27 NULL 6 7 +Manufacturer#3 almond antique chartreuse khaki white 99.68 8 1 1 590.27 99.68 7 8 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr) as s, -min(p_retailprice) over(partition by p_mfgr) as mi, -max(p_retailprice) over(partition by p_mfgr) as ma, -avg(p_retailprice) over(partition by p_mfgr) as av +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr) as s, -min(p_retailprice) over(partition by p_mfgr) as mi, -max(p_retailprice) over(partition by p_mfgr) as ma, -avg(p_retailprice) over(partition by p_mfgr) as av +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint, double, double, bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber, VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorDoubleFirstValue, VectorPTFEvaluatorDoubleLastValue, VectorPTFEvaluatorCount, VectorPTFEvaluatorCountStar] + functionInputExpressions: [null, col 1, col 1, col 2, col 2, col 2, null] + functionNames: [row_number, rank, dense_rank, first_value, last_value, count, count] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 6, 7, 8, 9, 0, 1, 2] + outputTypes: [int, int, int, double, double, bigint, bigint, string, string, double] + partitionExpressions: [col 0] + streamingColumns: [3, 4, 5, 6] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 5 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: row_number only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 5 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 1 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 3 3 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 5 5 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 9 9 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 NULL 9 10 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 10 11 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 2 2 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 3 3 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 900.66 6 6 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 2 2 99.68 590.27 2 2 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3 2 2 99.68 NULL 2 3 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 1190.27 3 4 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 5 2 2 99.68 1190.27 4 5 +Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL NULL 1 3 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 2 2 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: 0 (type: int), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [0, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_mfgr (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint, double, double, bigint, bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber, VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorDoubleFirstValue, VectorPTFEvaluatorDoubleLastValue, VectorPTFEvaluatorCount, VectorPTFEvaluatorCountStar] + functionInputExpressions: [null, col 1, col 1, col 3, col 3, col 3, null] + functionNames: [row_number, rank, dense_rank, first_value, last_value, count, count] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 5, 6, 7, 8, 9, 10, 2, 1, 3] + outputTypes: [int, int, int, double, double, bigint, bigint, string, string, double] + partitionExpressions: [ConstantVectorExpression(val 0) -> 11:long] + streamingColumns: [4, 5, 6, 7] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3, 4, 5, 6, 7, 8, 9, 10] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name) as rn, +rank() over(order by p_name) as r, +dense_rank() over(order by p_name) as dr, +first_value(p_retailprice) over(order by p_name) as fv, +last_value(p_retailprice) over(order by p_name) as lv, +count(p_retailprice) over(order by p_name) as c, +count(*) over(order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 2 2 1789.69 1173.15 3 3 +Manufacturer#1 almond antique burnished rose metallic 1173.15 3 2 2 1789.69 1173.15 3 3 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4 4 3 1789.69 99.68 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 8 5 4 1789.69 1753.76 8 8 +Manufacturer#3 almond antique forest lavender goldenrod NULL 9 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 10 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 11 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 12 9 5 1789.69 1190.27 11 12 +Manufacturer#4 almond antique gainsboro frosted violet NULL 13 13 6 1789.69 NULL 11 13 +Manufacturer#5 almond antique medium spring khaki 1611.66 14 14 7 1789.69 1611.66 13 15 +Manufacturer#5 almond antique medium spring khaki 1611.66 15 14 7 1789.69 1611.66 13 15 +Manufacturer#3 almond antique metallic orange dim 55.39 16 16 8 1789.69 55.39 14 16 +Manufacturer#3 almond antique misty red olive 1922.98 17 17 9 1789.69 1922.98 15 17 +Manufacturer#3 almond antique olive coral navajo 1337.29 18 18 10 1789.69 1337.29 16 18 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 19 19 11 1789.69 1602.59 17 19 +Manufacturer#5 almond antique sky peru orange 1788.73 20 20 12 1789.69 1788.73 18 20 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 21 21 13 1789.69 1690.68 19 21 +Manufacturer#4 almond antique violet mint lemon 1375.42 22 22 14 1789.69 1375.42 20 22 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 23 23 15 1789.69 1800.7 23 25 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 24 23 15 1789.69 1800.7 23 25 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 25 23 15 1789.69 1800.7 23 25 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 26 26 16 1789.69 1414.42 24 26 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 27 27 17 1789.69 1018.1 25 27 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 28 28 18 1789.69 NULL 26 29 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 29 28 18 1789.69 NULL 26 29 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 30 30 19 1789.69 2031.98 27 30 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 31 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 32 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 33 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 34 31 20 1789.69 1632.66 30 34 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 35 35 21 1789.69 1698.66 32 36 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 36 35 21 1789.69 1698.66 32 36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 37 37 22 1789.69 1000.6 33 37 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 38 38 23 1789.69 1844.92 34 38 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 39 39 24 1789.69 1290.35 35 39 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 40 40 25 1789.69 1464.48 36 40 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: 0 (type: int), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [0, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_mfgr (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: row_number only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name range between unbounded preceding and current row) as c, +count(*) over(order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 2 2 1789.69 1173.15 3 3 +Manufacturer#1 almond antique burnished rose metallic 1173.15 3 2 2 1789.69 1173.15 3 3 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4 4 3 1789.69 99.68 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7 5 4 1789.69 1753.76 8 8 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 8 5 4 1789.69 1753.76 8 8 +Manufacturer#3 almond antique forest lavender goldenrod NULL 9 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 10 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 11 9 5 1789.69 1190.27 11 12 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 12 9 5 1789.69 1190.27 11 12 +Manufacturer#4 almond antique gainsboro frosted violet NULL 13 13 6 1789.69 NULL 11 13 +Manufacturer#5 almond antique medium spring khaki 1611.66 14 14 7 1789.69 1611.66 13 15 +Manufacturer#5 almond antique medium spring khaki 1611.66 15 14 7 1789.69 1611.66 13 15 +Manufacturer#3 almond antique metallic orange dim 55.39 16 16 8 1789.69 55.39 14 16 +Manufacturer#3 almond antique misty red olive 1922.98 17 17 9 1789.69 1922.98 15 17 +Manufacturer#3 almond antique olive coral navajo 1337.29 18 18 10 1789.69 1337.29 16 18 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 19 19 11 1789.69 1602.59 17 19 +Manufacturer#5 almond antique sky peru orange 1788.73 20 20 12 1789.69 1788.73 18 20 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 21 21 13 1789.69 1690.68 19 21 +Manufacturer#4 almond antique violet mint lemon 1375.42 22 22 14 1789.69 1375.42 20 22 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 23 23 15 1789.69 1800.7 23 25 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 24 23 15 1789.69 1800.7 23 25 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 25 23 15 1789.69 1800.7 23 25 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 26 26 16 1789.69 1414.42 24 26 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 27 27 17 1789.69 1018.1 25 27 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 28 28 18 1789.69 NULL 26 29 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 29 28 18 1789.69 NULL 26 29 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 30 30 19 1789.69 2031.98 27 30 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 31 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 32 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 33 31 20 1789.69 1632.66 30 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 34 31 20 1789.69 1632.66 30 34 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 35 35 21 1789.69 1698.66 32 36 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 36 35 21 1789.69 1698.66 32 36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 37 37 22 1789.69 1000.6 33 37 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 38 38 23 1789.69 1844.92 34 38 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 39 39 24 1789.69 1290.35 35 39 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 40 40 25 1789.69 1464.48 36 40 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: 0 (type: int), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [0, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_mfgr (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(order by p_name rows between unbounded preceding and unbounded following) as rn, +rank() over(order by p_name rows between unbounded preceding and unbounded following) as r, +dense_rank() over(order by p_name rows between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as lv, +count(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as c, +count(*) over(order by p_name rows between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 2 2 1789.69 1173.15 2 2 +Manufacturer#1 almond antique burnished rose metallic 1173.15 3 2 2 1789.69 1173.15 3 3 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4 4 3 1789.69 99.68 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 5 4 1789.69 1753.76 5 5 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 5 4 1789.69 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7 5 4 1789.69 1753.76 7 7 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 8 5 4 1789.69 1753.76 8 8 +Manufacturer#3 almond antique forest lavender goldenrod NULL 9 9 5 1789.69 NULL 8 9 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 10 9 5 1789.69 590.27 9 10 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 11 9 5 1789.69 1190.27 10 11 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 12 9 5 1789.69 1190.27 11 12 +Manufacturer#4 almond antique gainsboro frosted violet NULL 13 13 6 1789.69 NULL 11 13 +Manufacturer#5 almond antique medium spring khaki 1611.66 14 14 7 1789.69 1611.66 12 14 +Manufacturer#5 almond antique medium spring khaki 1611.66 15 14 7 1789.69 1611.66 13 15 +Manufacturer#3 almond antique metallic orange dim 55.39 16 16 8 1789.69 55.39 14 16 +Manufacturer#3 almond antique misty red olive 1922.98 17 17 9 1789.69 1922.98 15 17 +Manufacturer#3 almond antique olive coral navajo 1337.29 18 18 10 1789.69 1337.29 16 18 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 19 19 11 1789.69 1602.59 17 19 +Manufacturer#5 almond antique sky peru orange 1788.73 20 20 12 1789.69 1788.73 18 20 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 21 21 13 1789.69 1690.68 19 21 +Manufacturer#4 almond antique violet mint lemon 1375.42 22 22 14 1789.69 1375.42 20 22 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 23 23 15 1789.69 1800.7 21 23 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 24 23 15 1789.69 1800.7 22 24 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 25 23 15 1789.69 1800.7 23 25 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 26 26 16 1789.69 1414.42 24 26 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 27 27 17 1789.69 1018.1 25 27 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 28 28 18 1789.69 1206.26 26 28 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 29 28 18 1789.69 NULL 26 29 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 30 30 19 1789.69 2031.98 27 30 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 31 31 20 1789.69 1632.66 28 31 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 32 31 20 1789.69 1632.66 29 32 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 33 31 20 1789.69 NULL 29 33 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 34 31 20 1789.69 1632.66 30 34 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 35 35 21 1789.69 900.66 31 35 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 36 35 21 1789.69 1698.66 32 36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 37 37 22 1789.69 1000.6 33 37 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 38 38 23 1789.69 1844.92 34 38 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 39 39 24 1789.69 1290.35 35 39 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 40 40 25 1789.69 1464.48 36 40 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [double, double, double, double, string, string, double] + streamingColumns: [] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique violet mint lemon 1375.42 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique gainsboro frosted violet NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique blue firebrick mint 1789.69 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique sky peru orange 1788.73 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique metallic orange dim 55.39 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique misty red olive 1922.98 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod NULL 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique chartreuse khaki white 99.68 6386.15 55.39 1922.98 912.3071428571428 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [double, double, double, double, string, string, double] + streamingColumns: [] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique violet mint lemon 1375.42 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique gainsboro frosted violet NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique blue firebrick mint 1789.69 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique sky peru orange 1788.73 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique metallic orange dim 55.39 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique misty red olive 1922.98 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique forest lavender goldenrod NULL 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#3 almond antique chartreuse khaki white 99.68 6386.15 55.39 1922.98 912.3071428571428 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -818,13 +2742,667 @@ STAGE PLANS: sort order: + Map-reduce partition columns: p_mfgr (type: string) Reduce Sink Vectorization: - className: VectorReduceSinkStringOperator - keyColumns: [0] + className: VectorReduceSinkStringOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 1290.35 1290.35 1290.35 1290.35 +Manufacturer#4 almond antique violet mint lemon 1375.42 2665.77 1290.35 1375.42 1332.885 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2665.77 1290.35 1375.42 1332.885 +Manufacturer#4 almond antique gainsboro frosted violet NULL 2665.77 1290.35 1375.42 1332.885 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4510.6900000000005 1290.35 1844.92 1503.5633333333335 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 1464.48 1464.48 1464.48 1464.48 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 2482.58 1018.1 1464.48 1241.29 +Manufacturer#5 almond antique medium spring khaki 1611.66 4094.24 1018.1 1611.66 1364.7466666666667 +Manufacturer#5 almond antique blue firebrick mint 1789.69 5883.93 1018.1 1789.69 1470.9825 +Manufacturer#5 almond antique medium spring khaki 1611.66 7495.59 1018.1 1789.69 1499.118 +Manufacturer#5 almond antique sky peru orange 1788.73 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 900.66 900.66 900.66 900.66 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 2599.32 900.66 1698.66 1299.66 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4400.02 900.66 1800.7 1466.6733333333334 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 6090.700000000001 900.66 1800.7 1522.6750000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7891.400000000001 900.66 1800.7 1578.2800000000002 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8892.0 900.66 1800.7 1482.0 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 10923.98 900.66 2031.98 1560.5685714285714 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1753.76 1753.76 1753.76 1753.76 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 3386.42 1632.66 1753.76 1693.21 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 5019.08 1632.66 1753.76 1673.0266666666666 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6772.84 1632.66 1753.76 1693.21 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8187.26 1414.42 1753.76 1637.452 +Manufacturer#1 almond antique burnished rose metallic 1173.15 9360.41 1173.15 1753.76 1560.0683333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.0 1173.15 1753.76 1566.142857142857 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 12716.76 1173.15 1753.76 1589.595 +Manufacturer#1 almond antique burnished rose metallic 1173.15 13889.91 1173.15 1753.76 1543.3233333333333 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 15643.67 1173.15 1753.76 1564.367 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 15643.67 1173.15 1753.76 1564.367 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 590.27 590.27 590.27 590.27 +Manufacturer#3 almond antique metallic orange dim 55.39 645.66 55.39 590.27 322.83 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1835.9299999999998 55.39 1190.27 611.9766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 3173.22 55.39 1337.29 793.305 +Manufacturer#3 almond antique misty red olive 1922.98 5096.2 55.39 1922.98 1019.24 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6286.469999999999 55.39 1922.98 1047.745 +Manufacturer#3 almond antique forest lavender goldenrod NULL 6286.469999999999 55.39 1922.98 1047.745 +Manufacturer#3 almond antique chartreuse khaki white 99.68 6386.15 55.39 1922.98 912.3071428571428 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [double, double, double, double, string, string, double] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [double, double, double, double, string, string, double] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - valueColumns: [1, 2] + partitionColumns: [0] + valueColumns: [2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_name (type: string), p_retailprice (type: double) + value expressions: p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -845,11 +3423,11 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator @@ -861,7 +3439,7 @@ STAGE PLANS: Windowing table definition input alias: ptf_1 name: windowingtablefunction - order by: _col0 ASC NULLS FIRST + order by: _col1 ASC NULLS FIRST partition by: _col0 raw input shape: window functions: @@ -870,25 +3448,25 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) @@ -909,78 +3487,78 @@ STAGE PLANS: ListSink PREHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr) as s, -min(p_retailprice) over(partition by p_mfgr) as mi, -max(p_retailprice) over(partition by p_mfgr) as ma, -avg(p_retailprice) over(partition by p_mfgr) as av +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr) as s, -min(p_retailprice) over(partition by p_mfgr) as mi, -max(p_retailprice) over(partition by p_mfgr) as ma, -avg(p_retailprice) over(partition by p_mfgr) as av +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice s mi ma av -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#4 almond antique violet mint lemon 1375.42 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#4 almond antique gainsboro frosted violet NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 5716.950000000001 1206.26 1844.92 1429.2375000000002 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#5 almond antique blue firebrick mint 1789.69 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#5 almond antique sky peru orange 1788.73 9284.32 1018.1 1789.69 1547.3866666666665 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 12724.68 900.66 2031.98 1590.585 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 1173.15 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4100.06 1173.15 1753.76 1366.6866666666667 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5853.820000000001 1173.15 1753.76 1463.4550000000002 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7607.580000000001 1173.15 1753.76 1521.516 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 14011.01 1173.15 1753.76 1556.778888888889 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 14011.01 1173.15 1753.76 1556.778888888889 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 15643.67 1173.15 1753.76 1564.367 Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique metallic orange dim 55.39 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3491.38 1690.68 1800.7 1745.69 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 5292.08 1690.68 1800.7 1764.0266666666666 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.78 1690.68 1800.7 1773.195 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 10025.42 900.66 2031.98 1670.9033333333334 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 689.95 99.68 590.27 344.975 +Manufacturer#3 almond antique forest lavender goldenrod NULL 689.95 99.68 590.27 344.975 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1880.22 99.68 1190.27 626.74 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique misty red olive 1922.98 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique forest lavender goldenrod NULL 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#3 almond antique chartreuse khaki white 99.68 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 3401.3500000000004 1611.66 1789.69 1700.6750000000002 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -1009,18 +3587,19 @@ STAGE PLANS: native: true projectedOutputColumns: [0, 1, 2] Reduce Output Operator - key expressions: p_mfgr (type: string), p_name (type: string) + key expressions: 0 (type: int), p_name (type: string) sort order: ++ - Map-reduce partition columns: p_mfgr (type: string) + Map-reduce partition columns: 0 (type: int) Reduce Sink Vectorization: className: VectorReduceSinkObjectHashOperator - keyColumns: [0, 1] + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - partitionColumns: [0] - valueColumns: [2] + partitionColumns: [4] + valueColumns: [0, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_retailprice (type: double) + value expressions: p_mfgr (type: string), p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -1036,17 +3615,31 @@ STAGE PLANS: includeColumns: [0, 1, 2] dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double, bigint Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -1058,7 +3651,7 @@ STAGE PLANS: input alias: ptf_1 name: windowingtablefunction order by: _col1 ASC NULLS FIRST - partition by: _col0 + partition by: 0 raw input shape: window functions: window function definition @@ -1066,32 +3659,52 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 3, col 3, col 3, col 3] + functionNames: [sum, min, max, avg] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 5, 6, 7, 2, 1, 3] + outputTypes: [double, double, double, double, string, string, double] + partitionExpressions: [ConstantVectorExpression(val 0) -> 8:long] + streamingColumns: [] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3, 4, 5, 6, 7] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -1103,80 +3716,80 @@ STAGE PLANS: limit: -1 Processor Tree: ListSink - -PREHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name) as av + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +sum(p_retailprice) over(order by p_name) as s, +min(p_retailprice) over(order by p_name) as mi, +max(p_retailprice) over(order by p_name) as ma, +avg(p_retailprice) over(order by p_name) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice s mi ma av -Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 -Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 -Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 -Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL -Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 -Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 -Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 -Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#1 almond antique burnished rose metallic 1173.15 4135.99 1173.15 1789.69 1378.6633333333332 +Manufacturer#1 almond antique burnished rose metallic 1173.15 4135.99 1173.15 1789.69 1378.6633333333332 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4235.67 99.68 1789.69 1058.9175 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#3 almond antique forest lavender goldenrod NULL 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#4 almond antique gainsboro frosted violet NULL 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#5 almond antique medium spring khaki 1611.66 17444.84 99.68 1789.69 1341.9107692307693 +Manufacturer#5 almond antique medium spring khaki 1611.66 17444.84 99.68 1789.69 1341.9107692307693 +Manufacturer#3 almond antique metallic orange dim 55.39 17500.23 55.39 1789.69 1250.0164285714286 +Manufacturer#3 almond antique misty red olive 1922.98 19423.21 55.39 1922.98 1294.8806666666667 +Manufacturer#3 almond antique olive coral navajo 1337.29 20760.5 55.39 1922.98 1297.53125 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 22363.09 55.39 1922.98 1315.4758823529412 +Manufacturer#5 almond antique sky peru orange 1788.73 24151.82 55.39 1922.98 1341.7677777777778 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 25842.5 55.39 1922.98 1360.1315789473683 +Manufacturer#4 almond antique violet mint lemon 1375.42 27217.92 55.39 1922.98 1360.896 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 34034.439999999995 55.39 1922.98 1418.1016666666665 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 35052.53999999999 55.39 1922.98 1402.1015999999997 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 36258.799999999996 55.39 1922.98 1394.5692307692307 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 36258.799999999996 55.39 1922.98 1394.5692307692307 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 38290.78 55.39 2031.98 1418.177037037037 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 45788.08 55.39 2031.98 1430.8775 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 45788.08 55.39 2031.98 1430.8775 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 46788.68 55.39 2031.98 1417.8387878787878 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 48633.6 55.39 2031.98 1430.3999999999999 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 49923.95 55.39 2031.98 1426.3985714285714 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 51388.43 55.39 2031.98 1427.4563888888888 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -1205,18 +3818,19 @@ STAGE PLANS: native: true projectedOutputColumns: [0, 1, 2] Reduce Output Operator - key expressions: p_mfgr (type: string), p_name (type: string) + key expressions: 0 (type: int), p_name (type: string) sort order: ++ - Map-reduce partition columns: p_mfgr (type: string) + Map-reduce partition columns: 0 (type: int) Reduce Sink Vectorization: className: VectorReduceSinkObjectHashOperator - keyColumns: [0, 1] + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - partitionColumns: [0] - valueColumns: [2] + partitionColumns: [4] + valueColumns: [0, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_retailprice (type: double) + value expressions: p_mfgr (type: string), p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -1232,17 +3846,31 @@ STAGE PLANS: includeColumns: [0, 1, 2] dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:string, VALUE._col0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double, bigint Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -1254,7 +3882,7 @@ STAGE PLANS: input alias: ptf_1 name: windowingtablefunction order by: _col1 ASC NULLS FIRST - partition by: _col0 + partition by: 0 raw input shape: window functions: window function definition @@ -1262,32 +3890,52 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 3, col 3, col 3, col 3] + functionNames: [sum, min, max, avg] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 5, 6, 7, 2, 1, 3] + outputTypes: [double, double, double, double, string, string, double] + partitionExpressions: [ConstantVectorExpression(val 0) -> 8:long] + streamingColumns: [] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3, 4, 5, 6, 7] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -1301,78 +3949,78 @@ STAGE PLANS: ListSink PREHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name range between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice s mi ma av -Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 -Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 -Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 -Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL -Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 -Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 -Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 -Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#1 almond antique burnished rose metallic 1173.15 4135.99 1173.15 1789.69 1378.6633333333332 +Manufacturer#1 almond antique burnished rose metallic 1173.15 4135.99 1173.15 1789.69 1378.6633333333332 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4235.67 99.68 1789.69 1058.9175 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.71 99.68 1789.69 1406.33875 +Manufacturer#3 almond antique forest lavender goldenrod NULL 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#4 almond antique gainsboro frosted violet NULL 14221.519999999999 99.68 1789.69 1292.8654545454544 +Manufacturer#5 almond antique medium spring khaki 1611.66 17444.84 99.68 1789.69 1341.9107692307693 +Manufacturer#5 almond antique medium spring khaki 1611.66 17444.84 99.68 1789.69 1341.9107692307693 +Manufacturer#3 almond antique metallic orange dim 55.39 17500.23 55.39 1789.69 1250.0164285714286 +Manufacturer#3 almond antique misty red olive 1922.98 19423.21 55.39 1922.98 1294.8806666666667 +Manufacturer#3 almond antique olive coral navajo 1337.29 20760.5 55.39 1922.98 1297.53125 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 22363.09 55.39 1922.98 1315.4758823529412 +Manufacturer#5 almond antique sky peru orange 1788.73 24151.82 55.39 1922.98 1341.7677777777778 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 25842.5 55.39 1922.98 1360.1315789473683 +Manufacturer#4 almond antique violet mint lemon 1375.42 27217.92 55.39 1922.98 1360.896 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.019999999997 55.39 1922.98 1418.2617391304345 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 34034.439999999995 55.39 1922.98 1418.1016666666665 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 35052.53999999999 55.39 1922.98 1402.1015999999997 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 36258.799999999996 55.39 1922.98 1394.5692307692307 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 36258.799999999996 55.39 1922.98 1394.5692307692307 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 38290.78 55.39 2031.98 1418.177037037037 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.76 55.39 2031.98 1439.6253333333334 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 45788.08 55.39 2031.98 1430.8775 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 45788.08 55.39 2031.98 1430.8775 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 46788.68 55.39 2031.98 1417.8387878787878 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 48633.6 55.39 2031.98 1430.3999999999999 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 49923.95 55.39 2031.98 1426.3985714285714 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 51388.43 55.39 2031.98 1427.4563888888888 PREHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY POSTHOOK: query: explain vectorization detail select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY Explain @@ -1401,18 +4049,19 @@ STAGE PLANS: native: true projectedOutputColumns: [0, 1, 2] Reduce Output Operator - key expressions: p_mfgr (type: string), p_name (type: string) + key expressions: 0 (type: int), p_name (type: string) sort order: ++ - Map-reduce partition columns: p_mfgr (type: string) + Map-reduce partition columns: 0 (type: int) Reduce Sink Vectorization: className: VectorReduceSinkObjectHashOperator - keyColumns: [0, 1] + keyColumns: [3, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - partitionColumns: [0] - valueColumns: [2] + partitionColumns: [4] + valueColumns: [0, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE - value expressions: p_retailprice (type: double) + value expressions: p_mfgr (type: string), p_retailprice (type: double) Execution mode: vectorized, llap LLAP IO: all inputs Map Vectorization: @@ -1428,16 +4077,17 @@ STAGE PLANS: includeColumns: [0, 1, 2] dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint Reducer 2 Execution mode: llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator - expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + expressions: VALUE._col0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator @@ -1450,7 +4100,7 @@ STAGE PLANS: input alias: ptf_1 name: windowingtablefunction order by: _col1 ASC NULLS FIRST - partition by: _col0 + partition by: 0 raw input shape: window functions: window function definition @@ -1458,25 +4108,25 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) @@ -1497,64 +4147,64 @@ STAGE PLANS: ListSink PREHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc PREHOOK: type: QUERY PREHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### POSTHOOK: query: select p_mfgr,p_name, p_retailprice, -sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, -min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, -max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, -avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +sum(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(order by p_name rows between unbounded preceding and current row) as av from vector_ptf_part_simple_orc POSTHOOK: type: QUERY POSTHOOK: Input: default@vector_ptf_part_simple_orc #### A masked pattern was here #### p_mfgr p_name p_retailprice s mi ma av -Manufacturer#1 almond antique burnished rose metallic 1173.15 1173.15 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4100.06 1173.15 1753.76 1366.6866666666667 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5853.820000000001 1173.15 1753.76 1463.4550000000002 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7607.580000000001 1173.15 1753.76 1521.516 -Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 -Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 -Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 14011.01 1173.15 1753.76 1556.778888888889 -Manufacturer#1 almond aquamarine pink moccasin thistle NULL 14011.01 1173.15 1753.76 1556.778888888889 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 15643.67 1173.15 1753.76 1564.367 -Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 -Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 3491.38 1690.68 1800.7 1745.69 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 5292.08 1690.68 1800.7 1764.0266666666666 -Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.78 1690.68 1800.7 1773.195 -Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 -Manufacturer#2 almond aquamarine rose maroon antique 900.66 10025.42 900.66 2031.98 1670.9033333333334 -Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 -Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 -Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 -Manufacturer#3 almond antique forest lavender goldenrod 590.27 689.95 99.68 590.27 344.975 -Manufacturer#3 almond antique forest lavender goldenrod NULL 689.95 99.68 590.27 344.975 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1880.22 99.68 1190.27 626.74 -Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 -Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 -Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 -Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 -Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL -Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 -Manufacturer#4 almond aquamarine floral ivory bisque NULL 1375.42 1375.42 1375.42 1375.42 -Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 -Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 -Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 -Manufacturer#5 almond antique medium spring khaki 1611.66 3401.3500000000004 1611.66 1789.69 1700.6750000000002 -Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 -Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 -Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 -Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2962.84 1173.15 1789.69 1481.42 +Manufacturer#1 almond antique burnished rose metallic 1173.15 4135.99 1173.15 1789.69 1378.6633333333332 +Manufacturer#3 almond antique chartreuse khaki white 99.68 4235.67 99.68 1789.69 1058.9175 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5989.43 99.68 1789.69 1197.886 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7743.1900000000005 99.68 1789.69 1290.5316666666668 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9496.95 99.68 1789.69 1356.707142857143 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 11250.710000000001 99.68 1789.69 1406.3387500000001 +Manufacturer#3 almond antique forest lavender goldenrod NULL 11250.710000000001 99.68 1789.69 1406.3387500000001 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 11840.980000000001 99.68 1789.69 1315.6644444444446 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 13031.250000000002 99.68 1789.69 1303.1250000000002 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 14221.520000000002 99.68 1789.69 1292.8654545454547 +Manufacturer#4 almond antique gainsboro frosted violet NULL 14221.520000000002 99.68 1789.69 1292.8654545454547 +Manufacturer#5 almond antique medium spring khaki 1611.66 15833.180000000002 99.68 1789.69 1319.4316666666668 +Manufacturer#5 almond antique medium spring khaki 1611.66 17444.840000000004 99.68 1789.69 1341.9107692307696 +Manufacturer#3 almond antique metallic orange dim 55.39 17500.230000000003 55.39 1789.69 1250.0164285714288 +Manufacturer#3 almond antique misty red olive 1922.98 19423.210000000003 55.39 1922.98 1294.880666666667 +Manufacturer#3 almond antique olive coral navajo 1337.29 20760.500000000004 55.39 1922.98 1297.5312500000002 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 22363.090000000004 55.39 1922.98 1315.4758823529414 +Manufacturer#5 almond antique sky peru orange 1788.73 24151.820000000003 55.39 1922.98 1341.767777777778 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 25842.500000000004 55.39 1922.98 1360.1315789473686 +Manufacturer#4 almond antique violet mint lemon 1375.42 27217.920000000006 55.39 1922.98 1360.8960000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 29018.620000000006 55.39 1922.98 1381.839047619048 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 30819.320000000007 55.39 1922.98 1400.8781818181822 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 32620.020000000008 55.39 1922.98 1418.2617391304352 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 34034.44000000001 55.39 1922.98 1418.1016666666671 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 35052.54000000001 55.39 1922.98 1402.1016000000004 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 36258.80000000001 55.39 1922.98 1394.5692307692311 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 36258.80000000001 55.39 1922.98 1394.5692307692311 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 38290.78000000001 55.39 2031.98 1418.1770370370375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 39923.44000000002 55.39 2031.98 1425.8371428571434 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 41556.10000000002 55.39 2031.98 1432.9689655172422 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 41556.10000000002 55.39 2031.98 1432.9689655172422 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 43188.760000000024 55.39 2031.98 1439.625333333334 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 44089.42000000003 55.39 2031.98 1422.2393548387106 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 45788.08000000003 55.39 2031.98 1430.877500000001 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 46788.68000000003 55.39 2031.98 1417.8387878787887 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 48633.60000000003 55.39 2031.98 1430.4000000000008 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 49923.950000000026 55.39 2031.98 1426.3985714285723 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 51388.43000000003 55.39 2031.98 1427.4563888888897 PREHOOK: query: create table vector_ptf_part_simple_text_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t' @@ -1666,16 +4316,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_retailprice:decimal(38,18) partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:string, VALUE._col1:decimal(38,18) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(38,18), decimal(38,18), decimal(38,18), decimal(38,18) Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: decimal(38,18)) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -1695,32 +4358,51 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDecimal - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum, VectorPTFEvaluatorDecimalMin, VectorPTFEvaluatorDecimalMax, VectorPTFEvaluatorDecimalAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [decimal(38,18), decimal(38,18), decimal(38,18), decimal(38,18), string, string, decimal(38,18)] + streamingColumns: [] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(38,18)), sum_window_0 (type: decimal(38,18)), min_window_1 (type: decimal(38,18)), max_window_2 (type: decimal(38,18)), avg_window_3 (type: decimal(38,18)) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -1862,16 +4544,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_retailprice:decimal(38,18) partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:decimal(38,18) + partitionColumnCount: 0 + scratchColumnTypeNames: decimal(38,18), decimal(38,18), decimal(38,18), decimal(38,18) Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(38,18)) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -1891,32 +4586,52 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDecimal - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDecimalSum, VectorPTFEvaluatorDecimalMin, VectorPTFEvaluatorDecimalMax, VectorPTFEvaluatorDecimalAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [decimal(38,18), decimal(38,18), decimal(38,18), decimal(38,18), string, string, decimal(38,18)] + partitionExpressions: [col 0] + streamingColumns: [] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(38,18)), sum_window_0 (type: decimal(38,18)), min_window_1 (type: decimal(38,18)), max_window_2 (type: decimal(38,18)), avg_window_3 (type: decimal(38,18)) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -2077,16 +4792,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_bigint:bigint partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:string, VALUE._col1:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint, double Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: bigint) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -2106,32 +4834,51 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum, VectorPTFEvaluatorLongMin, VectorPTFEvaluatorLongMax, VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [bigint, bigint, bigint, double, string, string, bigint] + streamingColumns: [] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), sum_window_0 (type: bigint), min_window_1 (type: bigint), max_window_2 (type: bigint), avg_window_3 (type: double) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -2273,16 +5020,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_bigint:bigint partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint, double Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -2302,32 +5062,52 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: min_window_1 arguments: _col2 name: min window function: GenericUDAFMinEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: max_window_2 arguments: _col2 name: max window function: GenericUDAFMaxEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: avg_window_3 arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum, VectorPTFEvaluatorLongMin, VectorPTFEvaluatorLongMax, VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2, col 2, col 2, col 2] + functionNames: [sum, min, max, avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 6, 0, 1, 2] + outputTypes: [bigint, bigint, bigint, double, string, string, bigint] + partitionExpressions: [col 0] + streamingColumns: [] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), sum_window_0 (type: bigint), min_window_1 (type: bigint), max_window_2 (type: bigint), avg_window_3 (type: double) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -2462,16 +5242,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:string, VALUE._col1:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), VALUE._col1 (type: double) outputColumnNames: _col0, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -2491,15 +5284,34 @@ STAGE PLANS: arguments: _col0 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 0] + functionNames: [rank] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1] + orderExpressions: [col 0] + outputColumns: [2, 0, 1] + outputTypes: [int, string, double] + streamingColumns: [2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col2 (type: double), rank_window_0 (type: int) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -2629,16 +5441,29 @@ STAGE PLANS: dataColumns: p_mfgr:string, p_name:string, p_retailprice:double partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -2658,15 +5483,35 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 0, 1, 2] + outputTypes: [int, string, string, double] + partitionExpressions: [col 0] + streamingColumns: [3] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col2 (type: double), rank_window_0 (type: int) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 3] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -2801,7 +5646,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -2826,7 +5671,7 @@ STAGE PLANS: arguments: _col0, CASE WHEN ((_col0 = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -2966,16 +5811,29 @@ STAGE PLANS: partitionColumnCount: 0 scratchColumnTypeNames: bigint, timestamp, timestamp, bigint, timestamp, timestamp Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:timestamp, KEY.reducesinkkey2:string, VALUE._col0:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, timestamp, timestamp Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: double) outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 3] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -2995,15 +5853,35 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 2] + functionNames: [rank] + keyInputColumns: [0, 2] + native: true + nonKeyInputColumns: [3] + orderExpressions: [col 2] + outputColumns: [4, 0, 2, 3] + outputTypes: [int, string, string, double] + partitionExpressions: [col 0, IfExprColumnNull(col 5, col 6, null)(children: StringGroupColEqualStringScalar(col 0, val Manufacturer#2) -> 5:boolean, ConstantVectorExpression(val 2000-01-01 00:00:00.0) -> 6:timestamp) -> 7:timestamp] + streamingColumns: [4] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), rank_window_0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 3, 4] Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat diff --git ql/src/test/results/clientpositive/llap/vector_tablesample_rows.q.out ql/src/test/results/clientpositive/llap/vector_tablesample_rows.q.out index bb89dd7..a51297c 100644 --- ql/src/test/results/clientpositive/llap/vector_tablesample_rows.q.out +++ ql/src/test/results/clientpositive/llap/vector_tablesample_rows.q.out @@ -223,8 +223,7 @@ STAGE PLANS: Tez #### A masked pattern was here #### Edges: - Reducer 2 <- Map 1 (SIMPLE_EDGE) - Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) + Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE) #### A masked pattern was here #### Vertices: Map 1 @@ -235,10 +234,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: COMPLETE Select Operator Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: COMPLETE - Reduce Output Operator - key expressions: 1 (type: int) - sort order: + - Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: count(1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: bigint) Execution mode: llap LLAP IO: no inputs Map Vectorization: @@ -249,52 +259,6 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - reduceColumnNullOrder: a - reduceColumnSortOrder: + - groupByVectorOutput: true - allNative: false - usesVectorUDFAdaptor: false - vectorized: true - rowBatchContext: - dataColumnCount: 1 - dataColumns: KEY.reducesinkkey0:int - partitionColumnCount: 0 - scratchColumnTypeNames: bigint - Reduce Operator Tree: - Select Operator - Select Vectorization: - className: VectorSelectOperator - native: true - projectedOutputColumns: [] - Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: COMPLETE - Group By Operator - aggregations: count(1) - Group By Vectorization: - aggregators: VectorUDAFCount(ConstantVectorExpression(val 1) -> 1:long) -> bigint - className: VectorGroupByOperator - groupByMode: HASH - vectorOutput: true - native: false - vectorProcessingMode: HASH - projectedOutputColumns: [0] - mode: hash - outputColumnNames: _col0 - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE - Reduce Output Operator - sort order: - Reduce Sink Vectorization: - className: VectorReduceSinkEmptyKeyOperator - keyColumns: [] - native: true - nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true - valueColumns: [0] - Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE - value expressions: _col0 (type: bigint) - Reducer 3 - Execution mode: vectorized, llap - Reduce Vectorization: - enabled: true - enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true reduceColumnNullOrder: reduceColumnSortOrder: groupByVectorOutput: true diff --git ql/src/test/results/clientpositive/llap/vector_windowing.q.out ql/src/test/results/clientpositive/llap/vector_windowing.q.out new file mode 100644 index 0000000..e3d7897 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing.q.out @@ -0,0 +1,9768 @@ +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + outputColumnNames: p_name, p_mfgr, p_size, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [3] + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col3 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size _c3 r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColGreaterLongScalar(col 5, val 0) -> boolean + predicate: (p_size > 0) (type: boolean) + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [3] + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col3 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size _c3 r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorCount] + functionInputExpressions: [col 2] + functionNames: [count] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3] + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name cd +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique chartreuse lavender yellow 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 +Manufacturer#1 almond aquamarine burnished black steel 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 +Manufacturer#2 almond antique violet chocolate turquoise 1 +Manufacturer#2 almond antique violet turquoise frosted 2 +Manufacturer#2 almond aquamarine midnight light salmon 3 +Manufacturer#2 almond aquamarine rose maroon antique 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 +Manufacturer#3 almond antique chartreuse khaki white 1 +Manufacturer#3 almond antique forest lavender goldenrod 2 +Manufacturer#3 almond antique metallic orange dim 3 +Manufacturer#3 almond antique misty red olive 4 +Manufacturer#3 almond antique olive coral navajo 5 +Manufacturer#4 almond antique gainsboro frosted violet 1 +Manufacturer#4 almond antique violet mint lemon 2 +Manufacturer#4 almond aquamarine floral ivory bisque 3 +Manufacturer#4 almond aquamarine yellow dodger mint 4 +Manufacturer#4 almond azure aquamarine papaya violet 5 +Manufacturer#5 almond antique blue firebrick mint 1 +Manufacturer#5 almond antique medium spring khaki 2 +Manufacturer#5 almond antique sky peru orange 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 +Manufacturer#5 almond azure blanched chiffon midnight 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_2 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_3 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_4 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), count_window_2 (type: bigint), _col7 (type: double), round(sum_window_3, 2) (type: double), _col5 (type: int), (_col5 - lag_window_4) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 6734 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6734 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name r dr cd p_retailprice s1 p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 2346.3 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 3 1753.76 4100.06 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 4 1602.59 5702.65 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 5 4 5 1414.42 7117.07 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 6 1632.66 8749.73 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 3 2031.98 5523.36 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 5 1290.35 7337.62 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 2 1611.66 3401.35 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 5 1464.48 7672.66 23 -23 +PREHOOK: query: explain vectorization detail +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_2 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_3 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_4 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), count_window_2 (type: bigint), round(sum_window_3, 2) (type: double), (_col5 - lag_window_4) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 728 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 728 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sub1.r sub1.dr sub1.cd sub1.s1 sub1.deltasz +1 1 1 1620.67 0 +1 1 1 1671.68 0 +1 1 1 1690.68 0 +1 1 1 1789.69 0 +1 1 2 1173.15 0 +1 1 2 2346.3 0 +2 2 2 2861.95 -3 +2 2 2 2996.09 29 +2 2 2 3401.35 -25 +2 2 2 3491.38 26 +3 2 3 4100.06 32 +3 3 3 4202.35 -12 +3 3 3 4272.34 5 +3 3 3 5190.08 -4 +3 3 3 5523.36 -38 +4 3 4 5702.65 -28 +4 4 4 6047.27 -20 +4 4 4 6195.32 -18 +4 4 4 6208.18 44 +4 4 4 7222.02 23 +5 4 5 7117.07 22 +5 5 5 7337.62 5 +5 5 5 7532.61 44 +5 5 5 7672.66 -23 +5 5 5 8923.62 -7 +6 5 6 8749.73 14 +PREHOOK: query: explain vectorization detail +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Map 5 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [0, 5, 7] + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_partkey (type: int), p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [0, 1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Map 5 + Map Operator Tree: + TableScan + alias: p1 + Statistics: Num rows: 26 Data size: 104 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 0) -> boolean + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 26 Data size: 104 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [] + Statistics: Num rows: 26 Data size: 104 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [0] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: NOOP not supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: part + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + type: TABLE + Partition table definition + input alias: abc + name: noop + order by: _col1 ASC NULLS FIRST + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + partition by: _col2 + raw input shape: + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + Filter Operator + predicate: _col0 is not null (type: boolean) + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + Reducer 3 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 p_partkey (type: int) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 27 Data size: 6237 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 27 Data size: 6237 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col5 (type: int), _col7 (type: double) + Reducer 4 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 27 Data size: 20709 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_3 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 27 Data size: 20709 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col7 (type: double), round(sum_window_2, 2) (type: double), _col5 (type: int), (_col5 - lag_window_3) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 27 Data size: 6777 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 27 Data size: 6777 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +abc.p_mfgr abc.p_name r dr abc.p_retailprice s1 abc.p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 2346.3 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 3519.45 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 4692.6 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 5 2 1753.76 6446.36 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3 1602.59 8048.95 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 7 4 1414.42 9463.37 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 8 5 1632.66 11096.03 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 2031.98 5523.36 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 1290.35 7337.62 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 1611.66 3401.35 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 1464.48 7672.66 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_size (type: int) + sort order: ++- + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col5 DESC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1, _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + window function definition + alias: first_value_window_1 + arguments: _col5 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: last_value_window_2 + arguments: _col5, false + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), first_value_window_1 (type: int), last_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s2 f l +Manufacturer#1 almond antique burnished rose metallic 2 2 2 34 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 2 28 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 2 42 +Manufacturer#1 almond aquamarine burnished black steel 28 28 34 42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 6 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 2 +Manufacturer#2 almond antique violet turquoise frosted 40 40 14 25 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 14 18 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 40 18 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 2 18 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 19 17 45 +Manufacturer#3 almond antique misty red olive 1 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 45 19 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 27 +Manufacturer#4 almond antique violet mint lemon 39 39 10 7 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 10 12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 39 12 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 27 12 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 2 +Manufacturer#5 almond antique medium spring khaki 6 6 31 46 +Manufacturer#5 almond antique sky peru orange 2 2 31 23 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 6 23 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 2 23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#3) -> boolean + predicate: (p_mfgr = 'Manufacturer#3') (type: boolean) + Statistics: Num rows: 5 Data size: 1115 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 'Manufacturer#3' (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#3' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9, 1] + keyExpressions: ConstantVectorExpression(val Manufacturer#3) -> 9:string + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [10] + valueColumns: [5] + Statistics: Num rows: 5 Data size: 1115 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), VALUE._col4 (type: int) + outputColumnNames: _col1, _col5 + Statistics: Num rows: 5 Data size: 1965 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 'Manufacturer#3' + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + window function definition + alias: first_value_window_2 + arguments: _col5 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: last_value_window_3 + arguments: _col5, false + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 5 Data size: 1965 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: 'Manufacturer#3' (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), sum_window_1 (type: bigint), first_value_window_2 (type: int), last_value_window_3 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 5 Data size: 1215 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 1215 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r s2 f l +Manufacturer#3 almond antique chartreuse khaki white 17 1 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 3 19 17 45 +Manufacturer#3 almond antique misty red olive 1 4 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 5 45 19 45 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 38 2 +Manufacturer#1 almond antique burnished rose metallic 2 44 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 6 +Manufacturer#1 almond aquamarine burnished black steel 28 110 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 18 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 14 +Manufacturer#3 almond antique metallic orange dim 19 96 19 +Manufacturer#3 almond antique misty red olive 1 79 1 +Manufacturer#3 almond antique olive coral navajo 45 65 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 12 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 6 +Manufacturer#5 almond antique sky peru orange 2 108 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank] + functionInputExpressions: [col 1, col 1] + functionNames: [rank, dense_rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 1, 0, 2] + outputTypes: [int, int, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3, 4] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 +Manufacturer#3 almond antique metallic orange dim 19 3 3 +Manufacturer#3 almond antique misty red olive 1 4 4 +Manufacturer#3 almond antique olive coral navajo 45 5 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 +Manufacturer#4 almond antique violet mint lemon 39 2 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 +Manufacturer#5 almond antique medium spring khaki 6 2 2 +Manufacturer#5 almond antique sky peru orange 2 3 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: cume_dist not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: percent_rank_window_3 + arguments: _col1 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: ntile_window_4 + arguments: 3 + name: ntile + window function: GenericUDAFNTileEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_5 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_6 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: stddev_window_7 + arguments: _col5 + name: stddev + window function: GenericUDAFStdEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: first_value_window_8 + arguments: (_col5 % 5) + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_9 + arguments: _col5 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), percent_rank_window_3 (type: double), ntile_window_4 (type: int), count_window_5 (type: bigint), avg_window_6 (type: double), stddev_window_7 (type: double), first_value_window_8 (type: int), last_value_window_9 (type: int), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, percent_rank_window_3, ntile_window_4, count_window_5, avg_window_6, stddev_window_7, first_value_window_8, last_value_window_9, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), percent_rank_window_3 (type: double), ntile_window_4 (type: int), count_window_5 (type: bigint), avg_window_6 (type: double), stddev_window_7 (type: double), first_value_window_8 (type: int), last_value_window_9 (type: int), _col5 (type: int) + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: int), VALUE._col5 (type: bigint), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: int), VALUE._col9 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col13 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col11, _col12, _col15 + Statistics: Num rows: 26 Data size: 14326 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col3: double, _col4: int, _col5: bigint, _col6: double, _col7: double, _col8: int, _col9: int, _col11: string, _col12: string, _col15: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col12 ASC NULLS FIRST, _col11 ASC NULLS FIRST + partition by: _col12 + raw input shape: + window functions: + window function definition + alias: first_value_window_10 + arguments: _col15 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 14326 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col12 (type: string), _col11 (type: string), _col15 (type: int), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: double), _col4 (type: int), _col5 (type: bigint), _col6 (type: double), _col7 (type: double), _col8 (type: int), _col9 (type: int), first_value_window_10 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13 + Statistics: Num rows: 26 Data size: 7462 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 7462 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr cud pr nt ca avg st fv lv fvw1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 0.4 2 3 12.666666666666666 15.084944665313014 2 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 0.6 2 4 11.0 13.379088160259652 2 6 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 0.8 3 5 14.4 13.763720427268202 2 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 1.0 3 6 19.0 16.237815945091466 2 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 0.0 1 1 14.0 0.0 4 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 0.25 1 2 27.0 13.0 4 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 0.5 2 3 18.666666666666668 15.86050300449376 4 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 0.75 2 4 20.25 14.00669482783144 4 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 1.0 3 5 19.8 12.560254774486067 4 18 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 0.0 1 1 17.0 0.0 2 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 0.25 1 2 15.5 1.5 2 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 0.5 2 3 16.666666666666668 2.0548046676563256 2 19 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 0.75 2 4 12.75 7.013380069552769 2 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 1.0 3 5 19.2 14.344336861632886 2 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 0.0 1 1 10.0 0.0 0 10 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 0.25 1 2 24.5 14.5 0 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 0.5 2 3 25.333333333333332 11.897712198383164 0 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 0.75 2 4 20.75 13.007209539328564 0 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 1.0 3 5 19.0 12.149074038789951 0 12 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 0.0 1 1 31.0 0.0 1 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 0.25 1 2 18.5 12.5 1 6 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 0.5 2 3 13.0 12.832251036613439 1 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 0.75 2 4 21.25 18.102140757380052 1 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 1.0 3 5 21.6 16.206171663906314 1 23 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: cume_dist not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_3 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), sum_window_3 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, sum_window_3, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col5 (type: int) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), sum_window_3 (type: bigint), _col1 (type: string) + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col3 (type: bigint), VALUE._col5 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col3: bigint, _col5: string, _col6: string, _col9: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: sum_window_4 + arguments: _col9 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(5)~CURRENT + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_4 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: bigint), _col5 (type: string), _col6 (type: string), _col9 (type: int) + outputColumnNames: sum_window_4, _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col6 (type: string), _col5 (type: string) + sort order: ++ + Map-reduce partition columns: _col6 (type: string) + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: sum_window_4 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: bigint), _col9 (type: int) + Reducer 4 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: double), VALUE._col4 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col8 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6, _col7, _col10 + Statistics: Num rows: 26 Data size: 13598 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: int, _col2: int, _col3: double, _col4: bigint, _col6: string, _col7: string, _col10: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col6 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: first_value_window_5 + arguments: _col10 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 13598 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col7 (type: string), _col6 (type: string), _col10 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: double), _col4 (type: bigint), _col0 (type: bigint), first_value_window_5 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 6734 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6734 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr cud s1 s2 fv1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 38 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 44 10 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 72 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 114 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 54 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 56 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 81 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 99 32 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 17 31 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 31 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 50 50 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 51 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 96 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 10 17 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 49 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 76 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 83 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 95 29 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 37 8 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 39 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 85 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 108 23 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + window function definition + alias: count_window_1 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorCountStar, VectorPTFEvaluatorCount] + functionInputExpressions: [null, col 2] + functionNames: [count, count] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 1, 0, 2] + outputTypes: [bigint, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: count_window_0, count_window_1, _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 4, 1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [3, 4, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col5 (type: int) + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int) + outputColumnNames: _col0, _col1, _col3, _col4, _col7 + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: bigint, _col3: string, _col4: string, _col7: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: first_value_window_2 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), _col0 (type: bigint), _col1 (type: bigint), first_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6318 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6318 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size c ca fvw1 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 4 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 5 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 6 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 17 +Manufacturer#3 almond antique misty red olive 1 4 4 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: max_window_2 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: avg_window_3 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double), min_window_1 (type: double), max_window_2 (type: double), round(avg_window_3, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 26 Data size: 6630 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6630 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s mi ma ag +Manufacturer#1 almond antique burnished rose metallic 2 4100.06 1173.15 1753.76 1366.69 +Manufacturer#1 almond antique burnished rose metallic 2 5702.65 1173.15 1753.76 1425.66 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.07 1173.15 1753.76 1423.41 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 7576.58 1173.15 1753.76 1515.32 +Manufacturer#1 almond aquamarine burnished black steel 28 6403.43 1414.42 1753.76 1600.86 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 4649.67 1414.42 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 5523.36 1690.68 2031.98 1841.12 +Manufacturer#2 almond antique violet turquoise frosted 40 7222.02 1690.68 2031.98 1805.51 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 1690.68 2031.98 1784.72 +Manufacturer#2 almond aquamarine rose maroon antique 25 7232.94 1698.66 2031.98 1808.24 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5432.24 1698.66 2031.98 1810.75 +Manufacturer#3 almond antique chartreuse khaki white 17 4272.34 1190.27 1671.68 1424.11 +Manufacturer#3 almond antique forest lavender goldenrod 14 6195.32 1190.27 1922.98 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 7532.61 1190.27 1922.98 1506.52 +Manufacturer#3 almond antique misty red olive 1 5860.93 1190.27 1922.98 1465.23 +Manufacturer#3 almond antique olive coral navajo 45 4670.66 1337.29 1922.98 1556.89 +Manufacturer#4 almond antique gainsboro frosted violet 10 4202.35 1206.26 1620.67 1400.78 +Manufacturer#4 almond antique violet mint lemon 39 6047.27 1206.26 1844.92 1511.82 +Manufacturer#4 almond aquamarine floral ivory bisque 27 7337.62 1206.26 1844.92 1467.52 +Manufacturer#4 almond aquamarine yellow dodger mint 7 5716.95 1206.26 1844.92 1429.24 +Manufacturer#4 almond azure aquamarine papaya violet 12 4341.53 1206.26 1844.92 1447.18 +Manufacturer#5 almond antique blue firebrick mint 31 5190.08 1611.66 1789.69 1730.03 +Manufacturer#5 almond antique medium spring khaki 6 6208.18 1018.1 1789.69 1552.05 +Manufacturer#5 almond antique sky peru orange 2 7672.66 1018.1 1789.69 1534.53 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 5882.97 1018.1 1788.73 1470.74 +Manufacturer#5 almond azure blanched chiffon midnight 23 4271.31 1018.1 1788.73 1423.77 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + outputColumnNames: p_name, p_mfgr, p_size, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: min(p_retailprice), max(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double, VectorUDAFMaxDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 1, col 2, col 5, col 7 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1] + keys: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double) + sort order: ++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0, 1, 2, 3] + valueColumns: [4, 5] + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col4 (type: double), _col5 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaaa + reduceColumnSortOrder: ++++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, KEY._col3:double, VALUE._col0:double, VALUE._col1:double + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0), max(VALUE._col1) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 4) -> double, VectorUDAFMaxDouble(col 5) -> double + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2, col 3 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0, 1] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: double) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: string), _col0 (type: string), _col2 (type: int), _col3 (type: double), _col4 (type: double), _col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2, 3, 4, 5] + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [2, 3, 4, 5] + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: int), _col3 (type: double), _col4 (type: double), _col5 (type: double) + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double, _col4: double, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: avg_window_1 + arguments: _col3 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), round(sum_window_0, 2) (type: double), _col4 (type: double), _col5 (type: double), round(avg_window_1, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 3419 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 3419 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size p_retailprice s mi ma ag +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 4529.5 1173.15 1173.15 1509.83 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 5943.92 1753.76 1753.76 1485.98 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 7576.58 1602.59 1602.59 1515.32 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 6403.43 1414.42 1414.42 1600.86 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 4649.67 1632.66 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 5523.36 1690.68 1690.68 1841.12 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 7222.02 1800.7 1800.7 1805.51 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 8923.62 2031.98 2031.98 1784.72 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 7232.94 1698.66 1698.66 1808.24 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5432.24 1701.6 1701.6 1810.75 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 4272.34 1671.68 1671.68 1424.11 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 6195.32 1190.27 1190.27 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 7532.61 1410.39 1410.39 1506.52 +Manufacturer#3 almond antique misty red olive 1 1922.98 5860.93 1922.98 1922.98 1465.23 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 4670.66 1337.29 1337.29 1556.89 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 4202.35 1620.67 1620.67 1400.78 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 6047.27 1375.42 1375.42 1511.82 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 7337.62 1206.26 1206.26 1467.52 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 5716.95 1844.92 1844.92 1429.24 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 4341.53 1290.35 1290.35 1447.18 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 5190.08 1789.69 1789.69 1730.03 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 6208.18 1611.66 1611.66 1552.05 +Manufacturer#5 almond antique sky peru orange 2 1788.73 7672.66 1788.73 1788.73 1534.53 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 5882.97 1018.1 1018.1 1470.74 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 4271.31 1464.48 1464.48 1423.77 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF Output Columns expression for PTF operator: Data type array of column collect_set_window_2 not supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: stddev_window_0 + arguments: _col7 + name: stddev + window function: GenericUDAFStdEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: stddev_pop_window_1 + arguments: _col7 + name: stddev_pop + window function: GenericUDAFStdEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: collect_set_window_2 + arguments: _col5 + name: collect_set + window function: GenericUDAFMkCollectionEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: variance_window_3 + arguments: _col7 + name: variance + window function: GenericUDAFVarianceEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: corr_window_4 + arguments: _col5, _col7 + name: corr + window function: GenericUDAFCorrelationEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: covar_pop_window_5 + arguments: _col5, _col7 + name: covar_pop + window function: GenericUDAFCovarianceEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), stddev_window_0 (type: double), stddev_pop_window_1 (type: double), collect_set_window_2 (type: array), variance_window_3 (type: double), round(corr_window_4, 5) (type: double), covar_pop_window_5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 9958 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 9958 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size sdev sdev_pop uniq_size var cor covarp +Manufacturer#1 almond antique burnished rose metallic 2 258.10677784349235 258.10677784349235 [2,34,6] 66619.10876874991 0.81133 2801.7074999999995 +Manufacturer#1 almond antique burnished rose metallic 2 273.70217881648074 273.70217881648074 [2,34] 74912.8826888888 1.0 4128.782222222221 +Manufacturer#1 almond antique chartreuse lavender yellow 34 230.90151585470358 230.90151585470358 [2,34,6,28] 53315.51002399992 0.69564 2210.7864 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 202.73109328368946 202.73109328368946 [2,34,6,28,42] 41099.896184 0.63079 2009.9536000000007 +Manufacturer#1 almond aquamarine burnished black steel 28 121.6064517973862 121.6064517973862 [34,6,28,42] 14788.129118750014 0.20367 331.1337500000004 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 96.5751586416853 96.5751586416853 [6,28,42] 9326.761266666683 -1.4E-4 -0.20666666666708502 +Manufacturer#2 almond antique violet chocolate turquoise 14 142.2363169751898 142.2363169751898 [14,40,2] 20231.169866666663 -0.4937 -1113.7466666666658 +Manufacturer#2 almond antique violet turquoise frosted 40 137.76306498840682 137.76306498840682 [14,40,2,25] 18978.662075 -0.52056 -1004.4812499999995 +Manufacturer#2 almond aquamarine midnight light salmon 2 130.03972279269132 130.03972279269132 [14,40,2,25,18] 16910.329504000005 -0.46909 -766.1791999999995 +Manufacturer#2 almond aquamarine rose maroon antique 25 135.55100986344584 135.55100986344584 [40,2,25,18] 18374.07627499999 -0.60914 -1128.1787499999987 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 156.44019460768044 156.44019460768044 [2,25,18] 24473.534488888927 -0.95717 -1441.4466666666676 +Manufacturer#3 almond antique chartreuse khaki white 17 196.7742266885805 196.7742266885805 [17,14,19] 38720.09628888887 0.55572 224.6944444444446 +Manufacturer#3 almond antique forest lavender goldenrod 14 275.14144189852607 275.14144189852607 [17,14,19,1] 75702.81305 -0.67208 -1296.9000000000003 +Manufacturer#3 almond antique metallic orange dim 19 260.23473614412046 260.23473614412046 [17,14,19,1,45] 67722.117896 -0.57035 -2129.0664 +Manufacturer#3 almond antique misty red olive 1 275.9139962356932 275.9139962356932 [14,19,1,45] 76128.53331875012 -0.57748 -2547.7868749999993 +Manufacturer#3 almond antique olive coral navajo 45 260.5815918713796 260.5815918713796 [19,1,45] 67902.76602222225 -0.87107 -4099.731111111111 +Manufacturer#4 almond antique gainsboro frosted violet 10 170.13011889596618 170.13011889596618 [10,39,27] 28944.25735555559 -0.6657 -1347.4777777777779 +Manufacturer#4 almond antique violet mint lemon 39 242.26834609323197 242.26834609323197 [10,39,27,7] 58693.95151875002 -0.80519 -2537.328125 +Manufacturer#4 almond aquamarine floral ivory bisque 27 234.10001662537326 234.10001662537326 [10,39,27,7,12] 54802.817784000035 -0.60469 -1719.8079999999995 +Manufacturer#4 almond aquamarine yellow dodger mint 7 247.3342714197732 247.3342714197732 [39,27,7,12] 61174.24181875003 -0.55087 -1719.0368749999975 +Manufacturer#4 almond azure aquamarine papaya violet 12 283.3344330566893 283.3344330566893 [27,7,12] 80278.40095555557 -0.77557 -1867.4888888888881 +Manufacturer#5 almond antique blue firebrick mint 31 83.69879024746363 83.69879024746363 [31,6,2] 7005.487488888913 0.39004 418.9233333333353 +Manufacturer#5 almond antique medium spring khaki 6 316.68049612345885 316.68049612345885 [31,6,2,46] 100286.53662500004 -0.71361 -4090.853749999999 +Manufacturer#5 almond antique sky peru orange 2 285.40506298242155 285.40506298242155 [31,6,2,46,23] 81456.04997600002 -0.71286 -3297.2011999999986 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 285.43749038756283 285.43749038756283 [6,2,46,23] 81474.56091875004 -0.98413 -4871.028125000002 +Manufacturer#5 almond azure blanched chiffon midnight 23 315.9225931564038 315.9225931564038 [2,46,23] 99807.08486666664 -0.99789 -5664.856666666666 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [0, 5, 7] + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_partkey (type: int), p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [0, 1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF Output Columns expression for PTF operator: Data type array> of column histogram_numeric_window_0 not supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: histogram_numeric_window_0 + arguments: _col7, 5 + name: histogram_numeric + window function: GenericUDAFHistogramNumericEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: percentile_window_1 + arguments: _col0, 0.5 + name: percentile + window function: GenericUDAFBridgeEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: row_number_window_2 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 13078 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), histogram_numeric_window_0 (type: array>), percentile_window_1 (type: double), row_number_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 24830 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 24830 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size hist per rn +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 115872.0 2 +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1753.76,"y":1.0}] 121152.0 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 [{"x":1173.15,"y":2.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 110592.0 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 [{"x":1173.15,"y":1.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86428.0 4 +Manufacturer#1 almond aquamarine burnished black steel 28 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86098.0 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0}] 86428.0 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 [{"x":1690.68,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 1 +Manufacturer#2 almond antique violet turquoise frosted 40 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 139825.5 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 169347.0 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 5 +Manufacturer#3 almond antique chartreuse khaki white 17 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0}] 90681.0 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 65831.5 2 +Manufacturer#3 almond antique metallic orange dim 19 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 90681.0 3 +Manufacturer#3 almond antique misty red olive 1 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 76690.0 4 +Manufacturer#3 almond antique olive coral navajo 45 [{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 112398.0 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0}] 48427.0 1 +Manufacturer#4 almond antique violet mint lemon 39 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 46844.0 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 45261.0 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1844.92,"y":1.0}] 39309.0 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1844.92,"y":1.0}] 33357.0 5 +Manufacturer#5 almond antique blue firebrick mint 31 [{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 155733.0 1 +Manufacturer#5 almond antique medium spring khaki 6 [{"x":1018.1,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 99201.0 2 +Manufacturer#5 almond antique sky peru orange 2 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 78486.0 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0}] 60577.5 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1788.73,"y":1.0}] 78486.0 5 +PREHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +PREHOOK: type: CREATEVIEW +POSTHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +POSTHOOK: type: CREATEVIEW +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + +STAGE PLANS: + Stage: Stage-1 + Create View Operator: + Create View + if not exists: true + or replace: false + columns: p_mfgr string, p_brand string, s double + expanded text: select `part`.`p_mfgr`, `part`.`p_brand`, +round(sum(`part`.`p_retailprice`),2) as `s` +from `default`.`part` +group by `part`.`p_mfgr`, `part`.`p_brand` + name: default.mfgr_price_view + original text: select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand + rewrite enabled: false + +PREHOOK: query: create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +PREHOOK: type: CREATEVIEW +PREHOOK: Input: default@part +PREHOOK: Output: database:default +PREHOOK: Output: default@mfgr_price_view +POSTHOOK: query: create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +POSTHOOK: type: CREATEVIEW +POSTHOOK: Input: default@part +POSTHOOK: Output: database:default +POSTHOOK: Output: default@mfgr_price_view +POSTHOOK: Lineage: mfgr_price_view.p_brand SIMPLE [(part)part.FieldSchema(name:p_brand, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_price_view.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_price_view.s EXPRESSION [(part)part.FieldSchema(name:p_retailprice, type:double, comment:null), ] +p_mfgr p_brand s +PREHOOK: query: explain vectorization detail +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + properties: + insideView TRUE + Statistics: Num rows: 26 Data size: 5148 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_mfgr (type: string), p_brand (type: string), p_retailprice (type: double) + outputColumnNames: p_mfgr, p_brand, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 7] + Statistics: Num rows: 26 Data size: 5148 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 3 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_brand (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13 Data size: 2574 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [2] + Statistics: Num rows: 13 Data size: 2574 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 3, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:string, KEY._col1:string, VALUE._col0:double + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 2) -> double + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13 Data size: 2574 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: round(_col2, 2) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [RoundWithNumDigitsDoubleToDouble(col 2, decimalPlaces 2) -> 4:double] + functionNames: [sum] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 0, 1, 2] + outputTypes: [double, string, string, double] + streamingColumns: [] + Statistics: Num rows: 13 Data size: 2574 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), round(_col2, 2) (type: double), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 5, 6] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 2, decimalPlaces 2) -> 5:double, RoundWithNumDigitsDoubleToDouble(col 3, decimalPlaces 2) -> 6:double + Statistics: Num rows: 13 Data size: 2678 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [5, 6] + Statistics: Num rows: 13 Data size: 2678 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: double), _col3 (type: double) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double, VALUE._col1:double + partitionColumnCount: 0 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 13 Data size: 2678 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 13 Data size: 2678 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sq.p_mfgr sq.p_brand sq.s sq.s1 +PREHOOK: query: select p_mfgr, p_brand, s, +round(sum(s) over w1 ,2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_brand rows between 2 preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_brand, s, +round(sum(s) over w1 ,2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_brand rows between 2 preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_brand s s1 +Manufacturer#1 Brand#12 4800.84 4800.84 +Manufacturer#1 Brand#14 2346.3 7147.14 +Manufacturer#1 Brand#15 1602.59 8749.73 +Manufacturer#2 Brand#22 3491.38 3491.38 +Manufacturer#2 Brand#23 2031.98 5523.36 +Manufacturer#2 Brand#24 1698.66 7222.02 +Manufacturer#2 Brand#25 1701.6 5432.24 +Manufacturer#3 Brand#31 1671.68 1671.68 +Manufacturer#3 Brand#32 3333.37 5005.05 +Manufacturer#3 Brand#34 1337.29 6342.34 +Manufacturer#3 Brand#35 1190.27 5860.93 +Manufacturer#4 Brand#41 4755.94 4755.94 +Manufacturer#4 Brand#42 2581.68 7337.62 +Manufacturer#5 Brand#51 1611.66 1611.66 +Manufacturer#5 Brand#52 3254.17 4865.83 +Manufacturer#5 Brand#53 2806.83 7672.66 +PREHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +PREHOOK: type: CREATEVIEW +POSTHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +POSTHOOK: type: CREATEVIEW +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + +STAGE PLANS: + Stage: Stage-1 + Create View Operator: + Create View + if not exists: true + or replace: false + columns: p_mfgr string, p_brand string, s double + expanded text: select `part`.`p_mfgr`, `part`.`p_brand`, +round(sum(`part`.`p_retailprice`) over w1,2) as `s` +from `default`.`part` +window w1 as (distribute by `part`.`p_mfgr` sort by `part`.`p_name` rows between 2 preceding and current row) + name: default.mfgr_brand_price_view + original text: select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) + rewrite enabled: false + +PREHOOK: query: create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +PREHOOK: type: CREATEVIEW +PREHOOK: Input: default@part +PREHOOK: Output: database:default +PREHOOK: Output: default@mfgr_brand_price_view +POSTHOOK: query: create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +POSTHOOK: type: CREATEVIEW +POSTHOOK: Input: default@part +POSTHOOK: Output: database:default +POSTHOOK: Output: default@mfgr_brand_price_view +POSTHOOK: Lineage: mfgr_brand_price_view.p_brand SIMPLE [(part)part.FieldSchema(name:p_brand, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_brand_price_view.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_brand_price_view.s SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +p_mfgr p_brand s +PREHOOK: query: explain vectorization detail +select * from mfgr_brand_price_view +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * from mfgr_brand_price_view +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + properties: + insideView TRUE + Statistics: Num rows: 26 Data size: 8294 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [3, 7] + Statistics: Num rows: 26 Data size: 8294 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_brand (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 3, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col3, _col7 + Statistics: Num rows: 26 Data size: 15262 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col3: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~CURRENT + Statistics: Num rows: 26 Data size: 15262 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col3 (type: string), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 5148 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 5148 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * from mfgr_brand_price_view +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_brand_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * from mfgr_brand_price_view +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_brand_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +mfgr_brand_price_view.p_mfgr mfgr_brand_price_view.p_brand mfgr_brand_price_view.s +Manufacturer#1 Brand#12 4100.06 +Manufacturer#1 Brand#12 4649.67 +Manufacturer#1 Brand#12 4770.77 +Manufacturer#1 Brand#14 1173.15 +Manufacturer#1 Brand#14 2346.3 +Manufacturer#1 Brand#15 4529.5 +Manufacturer#2 Brand#22 1690.68 +Manufacturer#2 Brand#22 3491.38 +Manufacturer#2 Brand#23 5523.36 +Manufacturer#2 Brand#24 5531.34 +Manufacturer#2 Brand#25 5432.24 +Manufacturer#3 Brand#31 1671.68 +Manufacturer#3 Brand#32 4272.34 +Manufacturer#3 Brand#32 4523.64 +Manufacturer#3 Brand#34 4670.66 +Manufacturer#3 Brand#35 2861.95 +Manufacturer#4 Brand#41 1620.67 +Manufacturer#4 Brand#41 4341.53 +Manufacturer#4 Brand#41 4426.6 +Manufacturer#4 Brand#42 2996.09 +Manufacturer#4 Brand#42 4202.35 +Manufacturer#5 Brand#51 3401.35 +Manufacturer#5 Brand#52 1789.69 +Manufacturer#5 Brand#52 4271.31 +Manufacturer#5 Brand#53 4418.49 +Manufacturer#5 Brand#53 5190.08 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: p_mfgr (type: string), p_name (type: string), p_size (type: int), array(1,2,3) (type: array) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 7254 Basic stats: COMPLETE Column stats: COMPLETE + Lateral View Forward + Statistics: Num rows: 26 Data size: 7254 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 8710 Basic stats: COMPLETE Column stats: COMPLETE + Lateral View Join Operator + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 10166 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: int), _col4 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 52 Data size: 10166 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: string) + Select Operator + expressions: _col3 (type: array) + outputColumnNames: _col0 + Statistics: Num rows: 26 Data size: 1456 Basic stats: COMPLETE Column stats: COMPLETE + UDTF Operator + Statistics: Num rows: 26 Data size: 1456 Basic stats: COMPLETE Column stats: COMPLETE + function name: explode + Lateral View Join Operator + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 10166 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: int), _col4 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 52 Data size: 10166 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: string) + Execution mode: llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + notVectorizedReason: Lateral View Forward (LATERALVIEWFORWARD) not supported + vectorized: false + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 13780 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col4: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~CURRENT + Statistics: Num rows: 52 Data size: 13780 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col4 (type: int), _col2 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 52 Data size: 14196 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 52 Data size: 14196 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name lv_col p_size s +Manufacturer#1 almond antique burnished rose metallic 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 2 4 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1 34 90 +Manufacturer#1 almond antique chartreuse lavender yellow 2 34 96 +Manufacturer#1 almond antique chartreuse lavender yellow 3 34 102 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 6 10 +Manufacturer#1 almond antique salmon chartreuse burlywood 2 6 14 +Manufacturer#1 almond antique salmon chartreuse burlywood 3 6 18 +Manufacturer#1 almond aquamarine burnished black steel 1 28 40 +Manufacturer#1 almond aquamarine burnished black steel 2 28 62 +Manufacturer#1 almond aquamarine burnished black steel 3 28 84 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 42 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 2 42 118 +Manufacturer#1 almond aquamarine pink moccasin thistle 3 42 126 +Manufacturer#2 almond antique violet chocolate turquoise 1 14 18 +Manufacturer#2 almond antique violet chocolate turquoise 2 14 30 +Manufacturer#2 almond antique violet chocolate turquoise 3 14 42 +Manufacturer#2 almond antique violet turquoise frosted 1 40 90 +Manufacturer#2 almond antique violet turquoise frosted 2 40 105 +Manufacturer#2 almond antique violet turquoise frosted 3 40 120 +Manufacturer#2 almond aquamarine midnight light salmon 1 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 4 +Manufacturer#2 almond aquamarine midnight light salmon 3 2 6 +Manufacturer#2 almond aquamarine rose maroon antique 1 25 61 +Manufacturer#2 almond aquamarine rose maroon antique 2 25 68 +Manufacturer#2 almond aquamarine rose maroon antique 3 25 75 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 18 46 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 2 18 50 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 3 18 54 +Manufacturer#3 almond antique chartreuse khaki white 1 17 45 +Manufacturer#3 almond antique chartreuse khaki white 2 17 48 +Manufacturer#3 almond antique chartreuse khaki white 3 17 51 +Manufacturer#3 almond antique forest lavender goldenrod 1 14 16 +Manufacturer#3 almond antique forest lavender goldenrod 2 14 29 +Manufacturer#3 almond antique forest lavender goldenrod 3 14 42 +Manufacturer#3 almond antique metallic orange dim 1 19 53 +Manufacturer#3 almond antique metallic orange dim 2 19 55 +Manufacturer#3 almond antique metallic orange dim 3 19 57 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique misty red olive 2 1 2 +Manufacturer#3 almond antique misty red olive 3 1 3 +Manufacturer#3 almond antique olive coral navajo 1 45 83 +Manufacturer#3 almond antique olive coral navajo 2 45 109 +Manufacturer#3 almond antique olive coral navajo 3 45 135 +Manufacturer#4 almond antique gainsboro frosted violet 1 10 24 +Manufacturer#4 almond antique gainsboro frosted violet 2 10 27 +Manufacturer#4 almond antique gainsboro frosted violet 3 10 30 +Manufacturer#4 almond antique violet mint lemon 1 39 93 +Manufacturer#4 almond antique violet mint lemon 2 39 105 +Manufacturer#4 almond antique violet mint lemon 3 39 117 +Manufacturer#4 almond aquamarine floral ivory bisque 1 27 51 +Manufacturer#4 almond aquamarine floral ivory bisque 2 27 66 +Manufacturer#4 almond aquamarine floral ivory bisque 3 27 81 +Manufacturer#4 almond aquamarine yellow dodger mint 1 7 7 +Manufacturer#4 almond aquamarine yellow dodger mint 2 7 14 +Manufacturer#4 almond aquamarine yellow dodger mint 3 7 21 +Manufacturer#4 almond azure aquamarine papaya violet 1 12 32 +Manufacturer#4 almond azure aquamarine papaya violet 2 12 34 +Manufacturer#4 almond azure aquamarine papaya violet 3 12 36 +Manufacturer#5 almond antique blue firebrick mint 1 31 77 +Manufacturer#5 almond antique blue firebrick mint 2 31 85 +Manufacturer#5 almond antique blue firebrick mint 3 31 93 +Manufacturer#5 almond antique medium spring khaki 1 6 10 +Manufacturer#5 almond antique medium spring khaki 2 6 14 +Manufacturer#5 almond antique medium spring khaki 3 6 18 +Manufacturer#5 almond antique sky peru orange 1 2 2 +Manufacturer#5 almond antique sky peru orange 2 2 4 +Manufacturer#5 almond antique sky peru orange 3 2 6 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 46 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 2 46 123 +Manufacturer#5 almond aquamarine dodger light gainsboro 3 46 138 +Manufacturer#5 almond azure blanched chiffon midnight 1 23 35 +Manufacturer#5 almond azure blanched chiffon midnight 2 23 52 +Manufacturer#5 almond azure blanched chiffon midnight 3 23 69 +PREHOOK: query: CREATE TABLE part_1( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_1 +POSTHOOK: query: CREATE TABLE part_1( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_1 +PREHOOK: query: CREATE TABLE part_2( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +cud INT, +s2 DOUBLE, +fv1 INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_2 +POSTHOOK: query: CREATE TABLE part_2( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +cud INT, +s2 DOUBLE, +fv1 INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_2 +PREHOOK: query: CREATE TABLE part_3( +p_mfgr STRING, +p_name STRING, +p_size INT, +c INT, +ca INT, +fv INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_3 +POSTHOOK: query: CREATE TABLE part_3( +p_mfgr STRING, +p_name STRING, +p_size INT, +c INT, +ca INT, +fv INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_3 +PREHOOK: query: explain vectorization detail +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-3 is a root stage + Stage-4 depends on stages: Stage-3 + Stage-0 depends on stages: Stage-4 + Stage-5 depends on stages: Stage-0 + Stage-1 depends on stages: Stage-4 + Stage-6 depends on stages: Stage-1 + Stage-2 depends on stages: Stage-4 + Stage-7 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-3 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Map 1 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) + Reducer 5 <- Reducer 4 (SIMPLE_EDGE) + Reducer 6 <- Map 1 (SIMPLE_EDGE) + Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_1 + Reducer 3 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: cume_dist not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col5 (type: int) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), _col1 (type: string) + Reducer 4 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col4 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col4, _col5, _col8 + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col4: string, _col5: string, _col8: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col8 ASC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_3 + arguments: _col8 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(5)~CURRENT + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_3 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col4 (type: string), _col5 (type: string), _col8 (type: int) + outputColumnNames: sum_window_3, _col0, _col1, _col2, _col4, _col5, _col8 + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col5 (type: string), _col4 (type: string) + sort order: ++ + Map-reduce partition columns: _col5 (type: string) + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: sum_window_3 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col8 (type: int) + Reducer 5 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: double), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col7 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: int, _col2: int, _col3: double, _col5: string, _col6: string, _col9: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col5 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: first_value_window_4 + arguments: _col9 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col6 (type: string), _col5 (type: string), _col9 (type: int), _col1 (type: int), _col2 (type: int), UDFToInteger(_col3) (type: int), UDFToDouble(round(_col0, 1)) (type: double), first_value_window_4 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_2 + Reducer 6 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + window function definition + alias: count_window_1 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorCountStar, VectorPTFEvaluatorCount] + functionInputExpressions: [null, col 2] + functionNames: [count, count] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 1, 0, 2] + outputTypes: [bigint, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: count_window_0, count_window_1, _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 4, 1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [3, 4, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col5 (type: int) + Reducer 7 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int) + outputColumnNames: _col0, _col1, _col3, _col4, _col7 + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: bigint, _col3: string, _col4: string, _col7: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: first_value_window_2 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 13182 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), UDFToInteger(_col0) (type: int), UDFToInteger(_col1) (type: int), first_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6110 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_3 + + Stage: Stage-4 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_1 + + Stage: Stage-5 + Stats-Aggr Operator + + Stage: Stage-1 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_2 + + Stage: Stage-6 + Stats-Aggr Operator + + Stage: Stage-2 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_3 + + Stage: Stage-7 + Stats-Aggr Operator + +PREHOOK: query: from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +PREHOOK: Output: default@part_1 +PREHOOK: Output: default@part_2 +PREHOOK: Output: default@part_3 +POSTHOOK: query: from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +POSTHOOK: Output: default@part_1 +POSTHOOK: Output: default@part_2 +POSTHOOK: Output: default@part_3 +POSTHOOK: Lineage: part_1.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +POSTHOOK: Lineage: part_1.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.s SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.cud SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.fv1 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +POSTHOOK: Lineage: part_2.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.s2 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.c SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.ca SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.fv SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +_col0 _col1 _col2 _col3 _col4 _col5 +PREHOOK: query: select * from part_1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_1 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_1 +#### A masked pattern was here #### +part_1.p_mfgr part_1.p_name part_1.p_size part_1.r part_1.dr part_1.s +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: select * from part_2 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_2 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_2 +#### A masked pattern was here #### +part_2.p_mfgr part_2.p_name part_2.p_size part_2.r part_2.dr part_2.cud part_2.s2 part_2.fv1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0 4.0 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0 4.0 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0 34.0 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0 10.0 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0 28.0 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1 42.0 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0 14.0 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0 40.0 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0 2.0 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0 25.0 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1 32.0 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0 31.0 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0 14.0 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0 50.0 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0 1.0 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1 45.0 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0 17.0 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0 39.0 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0 27.0 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0 7.0 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1 29.0 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0 31.0 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0 8.0 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0 2.0 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0 46.0 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1 23.0 2 +PREHOOK: query: select * from part_3 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_3 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_3 +#### A masked pattern was here #### +part_3.p_mfgr part_3.p_name part_3.p_size part_3.c part_3.ca part_3.fv +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 4 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 5 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 6 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 17 +Manufacturer#3 almond antique misty red olive 1 4 4 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 2 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColGreaterLongScalar(col 5, val 0) -> boolean + predicate: (p_size > 0) (type: boolean) + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [3] + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col3 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 3211 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size mi r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [1] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_name (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(10)~CURRENT + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE CURRENT~FOLLOWING(10) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s2 s1 +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique chartreuse lavender yellow 34 62 76 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 10 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 62 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 32 +Manufacturer#2 almond antique violet turquoise frosted 40 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 43 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 43 +Manufacturer#3 almond antique chartreuse khaki white 17 31 36 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 50 +Manufacturer#3 almond antique metallic orange dim 19 50 19 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique olive coral navajo 45 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 17 22 +Manufacturer#4 almond antique violet mint lemon 39 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 29 +Manufacturer#4 almond azure aquamarine papaya violet 12 29 12 +Manufacturer#5 almond antique blue firebrick mint 31 54 31 +Manufacturer#5 almond antique medium spring khaki 6 8 6 +Manufacturer#5 almond antique sky peru orange 2 2 8 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 54 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s s2 +Manufacturer#1 almond antique burnished rose metallic 2 38 4 +Manufacturer#1 almond antique burnished rose metallic 2 44 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 44 +Manufacturer#1 almond aquamarine burnished black steel 28 110 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 99 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 31 +Manufacturer#3 almond antique metallic orange dim 19 96 50 +Manufacturer#3 almond antique misty red olive 1 79 51 +Manufacturer#3 almond antique olive coral navajo 45 65 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 95 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 37 +Manufacturer#5 almond antique sky peru orange 2 108 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 18 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 14 +Manufacturer#3 almond antique metallic orange dim 19 19 19 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique olive coral navajo 45 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 12 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 6 +Manufacturer#5 almond antique sky peru orange 2 2 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6214 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 4 2 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 +Manufacturer#3 almond antique metallic orange dim 19 19 50 +Manufacturer#3 almond antique misty red olive 1 1 51 +Manufacturer#3 almond antique olive coral navajo 45 45 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 37 +Manufacturer#5 almond antique sky peru orange 2 2 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 4 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 44 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 99 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 31 +Manufacturer#3 almond antique metallic orange dim 19 19 50 50 +Manufacturer#3 almond antique misty red olive 1 1 51 51 +Manufacturer#3 almond antique olive coral navajo 45 45 96 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 49 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 95 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 37 37 +Manufacturer#5 almond antique sky peru orange 2 2 39 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_2 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint), sum_window_2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 38 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 112 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 45 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 51 +Manufacturer#3 almond antique metallic orange dim 19 19 50 96 +Manufacturer#3 almond antique misty red olive 1 1 51 79 +Manufacturer#3 almond antique olive coral navajo 45 45 96 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 76 +Manufacturer#4 almond antique violet mint lemon 39 39 49 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 46 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 39 +Manufacturer#5 almond antique medium spring khaki 6 6 37 85 +Manufacturer#5 almond antique sky peru orange 2 2 39 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 71 +PREHOOK: query: explain vectorization detail +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + keys: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + sort order: ++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaaa + reduceColumnSortOrder: ++++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, KEY._col3:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1, col 2, col 3 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [] + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: bigint) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 13 Data size: 3003 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 5798 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [int, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3] + Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [7] + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:string, VALUE._col6:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double, bigint, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col6 (type: double) + outputColumnNames: _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 26 Data size: 9724 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: count_window_4 + arguments: _col7 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum, VectorPTFEvaluatorDoubleMin, VectorPTFEvaluatorDoubleMax, VectorPTFEvaluatorDoubleAvg, VectorPTFEvaluatorCount] + functionInputExpressions: [col 1, col 1, col 1, col 1, col 1] + functionNames: [sum, min, max, avg, count] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1] + orderExpressions: [col 0] + outputColumns: [2, 3, 4, 5, 6, 0, 1] + outputTypes: [double, double, double, double, bigint, string, double] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 9724 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), round(sum_window_0, 2) (type: double), min_window_1 (type: double), max_window_2 (type: double), round(avg_window_3, 2) (type: double), count_window_4 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 7, 3, 4, 8, 6] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 2, decimalPlaces 2) -> 7:double, RoundWithNumDigitsDoubleToDouble(col 5, decimalPlaces 2) -> 8:double + Statistics: Num rows: 26 Data size: 3588 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 3588 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr s1 s2 s3 s4 s5 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2, 1] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2, _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: double), min_window_1 (type: double), _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: sum_window_0, min_window_1, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: sum_window_0 (type: double), min_window_1 (type: double), _col5 (type: int), _col7 (type: double) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col0:double, VALUE._col1:double, VALUE._col5:int, VALUE._col7:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: double), VALUE._col1 (type: double), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int), VALUE._col7 (type: double) + outputColumnNames: _col0, _col1, _col3, _col4, _col7, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 1, 0, 4, 5] + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: double, _col1: double, _col3: string, _col4: string, _col7: int, _col9: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col4, _col3 + raw input shape: + window functions: + window function definition + alias: max_window_2 + arguments: _col9 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleMax] + functionInputExpressions: [col 5] + functionNames: [max] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2, 3, 4, 5] + orderExpressions: [col 1] + outputColumns: [6, 2, 3, 1, 0, 4, 5] + outputTypes: [double, double, double, string, string, int, double] + partitionExpressions: [col 0, col 1] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 13390 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), round(_col0, 2) (type: double), _col1 (type: double), max_window_2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 4, 7, 3, 6] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 2, decimalPlaces 2) -> 7:double + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 6422 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 1753.76 1753.76 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 1602.59 1602.59 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 1414.42 1414.42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 1632.66 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 1800.7 1800.7 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 2031.98 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 1698.66 1698.66 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 1701.6 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1671.68 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 1190.27 1190.27 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 1410.39 1410.39 +Manufacturer#3 almond antique misty red olive 1 1922.98 1922.98 1922.98 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 1337.29 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1620.67 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 1206.26 1206.26 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 1844.92 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 1290.35 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 1611.66 1611.66 +Manufacturer#5 almond antique sky peru orange 2 1788.73 1788.73 1788.73 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 1018.1 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 1464.48 1464.48 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5252 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), substr(p_type, 2) (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 9] + keyExpressions: StringSubstrColStart(col 4, start 1) -> 9:string + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [4] + Statistics: Num rows: 26 Data size: 5252 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_type (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, string, string, string + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col3 (type: string) + outputColumnNames: _col2, _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2] + Statistics: Num rows: 26 Data size: 12220 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: substr(_col4, 2) ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: substr(_col4, 2) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [StringSubstrColStart(col 2, start 1) -> 5:string] + functionNames: [rank] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [StringSubstrColStart(col 2, start 1) -> 4:string] + outputColumns: [3, 0, 2] + outputTypes: [int, string, string] + partitionExpressions: [col 0] + streamingColumns: [3] + Statistics: Num rows: 26 Data size: 12220 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col4 (type: string), substr(_col4, 2) (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 6, 3] + selectExpressions: StringSubstrColStart(col 2, start 1) -> 6:string + Statistics: Num rows: 26 Data size: 10140 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 10140 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_type short_ptype r +Manufacturer#1 LARGE BRUSHED STEEL ARGE BRUSHED STEEL 1 +Manufacturer#1 LARGE BURNISHED STEEL ARGE BURNISHED STEEL 2 +Manufacturer#1 PROMO BURNISHED NICKEL ROMO BURNISHED NICKEL 3 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 STANDARD ANODIZED STEEL TANDARD ANODIZED STEEL 6 +Manufacturer#2 ECONOMY POLISHED STEEL CONOMY POLISHED STEEL 1 +Manufacturer#2 MEDIUM ANODIZED COPPER EDIUM ANODIZED COPPER 2 +Manufacturer#2 MEDIUM BURNISHED COPPER EDIUM BURNISHED COPPER 3 +Manufacturer#2 SMALL POLISHED NICKEL MALL POLISHED NICKEL 4 +Manufacturer#2 STANDARD PLATED TIN TANDARD PLATED TIN 5 +Manufacturer#3 ECONOMY PLATED COPPER CONOMY PLATED COPPER 1 +Manufacturer#3 MEDIUM BURNISHED BRASS EDIUM BURNISHED BRASS 2 +Manufacturer#3 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#3 PROMO ANODIZED TIN ROMO ANODIZED TIN 4 +Manufacturer#3 STANDARD POLISHED STEEL TANDARD POLISHED STEEL 5 +Manufacturer#4 ECONOMY BRUSHED COPPER CONOMY BRUSHED COPPER 1 +Manufacturer#4 PROMO POLISHED STEEL ROMO POLISHED STEEL 4 +Manufacturer#4 SMALL BRUSHED BRASS MALL BRUSHED BRASS 2 +Manufacturer#4 SMALL PLATED STEEL MALL PLATED STEEL 3 +Manufacturer#4 STANDARD ANODIZED TIN TANDARD ANODIZED TIN 5 +Manufacturer#5 ECONOMY BURNISHED STEEL CONOMY BURNISHED STEEL 2 +Manufacturer#5 LARGE BRUSHED BRASS ARGE BRUSHED BRASS 1 +Manufacturer#5 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#5 SMALL PLATED BRASS MALL PLATED BRASS 4 +Manufacturer#5 STANDARD BURNISHED TIN TANDARD BURNISHED TIN 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 4272.34 +Manufacturer#3 almond antique misty red olive 1 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 3401.35 +Manufacturer#5 almond antique sky peru orange 2 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [1, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col1:string, VALUE._col5:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 1, 3] + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [col 3] + functionNames: [sum] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 0, 1, 3] + outputTypes: [double, string, string, int, double] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 1, 5] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 4, decimalPlaces 2) -> 5:double + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.07 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3948.89 +Manufacturer#1 almond aquamarine burnished black steel 28 5363.31 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 3722.66 +Manufacturer#2 almond antique violet turquoise frosted 40 8923.62 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 7122.92 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5424.26 +Manufacturer#3 almond antique chartreuse khaki white 17 4784.93 +Manufacturer#3 almond antique forest lavender goldenrod 14 3113.25 +Manufacturer#3 almond antique metallic orange dim 19 6195.32 +Manufacturer#3 almond antique misty red olive 1 1922.98 +Manufacturer#3 almond antique olive coral navajo 45 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 3465.59 +Manufacturer#4 almond antique violet mint lemon 39 7337.62 +Manufacturer#4 almond aquamarine floral ivory bisque 27 5962.2 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 4755.94 +Manufacturer#5 almond antique blue firebrick mint 31 6654.56 +Manufacturer#5 almond antique medium spring khaki 6 3400.39 +Manufacturer#5 almond antique sky peru orange 2 1788.73 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 7672.66 +Manufacturer#5 almond azure blanched chiffon midnight 23 4864.87 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 7576.58 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique chartreuse lavender yellow 34 6403.43 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4649.67 +Manufacturer#1 almond aquamarine burnished black steel 28 3047.08 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 8923.62 +Manufacturer#2 almond antique violet turquoise frosted 40 7232.94 +Manufacturer#2 almond aquamarine midnight light salmon 2 5432.24 +Manufacturer#2 almond aquamarine rose maroon antique 25 3400.26 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 7532.61 +Manufacturer#3 almond antique forest lavender goldenrod 14 5860.93 +Manufacturer#3 almond antique metallic orange dim 19 4670.66 +Manufacturer#3 almond antique misty red olive 1 3260.27 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 7337.62 +Manufacturer#4 almond antique violet mint lemon 39 5716.95 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4341.53 +Manufacturer#4 almond aquamarine yellow dodger mint 7 3135.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 7672.66 +Manufacturer#5 almond antique medium spring khaki 6 5882.97 +Manufacturer#5 almond antique sky peru orange 2 4271.31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 2482.58 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [1, 7] + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 12974 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 6006 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3386.42 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6403.43 +Manufacturer#1 almond aquamarine burnished black steel 28 4800.84 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 6891.64 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 +Manufacturer#2 almond aquamarine rose maroon antique 25 3499.36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5200.96 +Manufacturer#3 almond antique chartreuse khaki white 17 4419.36 +Manufacturer#3 almond antique forest lavender goldenrod 14 5609.63 +Manufacturer#3 almond antique metallic orange dim 19 2747.68 +Manufacturer#3 almond antique misty red olive 1 7532.61 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 5492.7 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 27 2581.68 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7337.62 +Manufacturer#4 almond azure aquamarine papaya violet 12 3872.03 +Manufacturer#5 almond antique blue firebrick mint 31 2807.79 +Manufacturer#5 almond antique medium spring khaki 6 5883.93 +Manufacturer#5 almond antique sky peru orange 2 7672.66 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 4272.27 +PREHOOK: query: explain vectorization detail +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3354 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: 0 (type: int) + sort order: + + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9] + keyExpressions: ConstantVectorExpression(val 0) -> 9:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [10] + valueColumns: [1, 7] + Statistics: Num rows: 26 Data size: 3354 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:int, VALUE._col1:string, VALUE._col7:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, bigint, double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), VALUE._col7 (type: double) + outputColumnNames: _col1, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2] + Statistics: Num rows: 26 Data size: 10322 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 0 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [ConstantVectorExpression(val 0) -> 4:long] + outputColumns: [3, 1, 2] + outputTypes: [double, string, double] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 10322 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: string), _col7 (type: double), round(avg_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 5] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 3, decimalPlaces 2) -> 5:double + Statistics: Num rows: 26 Data size: 3562 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2, 5] + Statistics: Num rows: 26 Data size: 3562 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: double), _col2 (type: double) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col0:double, VALUE._col1:double + partitionColumnCount: 0 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 26 Data size: 3562 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 3562 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_name p_retailprice _c2 +almond antique blue firebrick mint 1789.69 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique chartreuse khaki white 1671.68 1546.78 +almond antique chartreuse lavender yellow 1753.76 1546.78 +almond antique forest lavender goldenrod 1190.27 1546.78 +almond antique gainsboro frosted violet 1620.67 1546.78 +almond antique medium spring khaki 1611.66 1546.78 +almond antique metallic orange dim 1410.39 1546.78 +almond antique misty red olive 1922.98 1546.78 +almond antique olive coral navajo 1337.29 1546.78 +almond antique salmon chartreuse burlywood 1602.59 1546.78 +almond antique sky peru orange 1788.73 1546.78 +almond antique violet chocolate turquoise 1690.68 1546.78 +almond antique violet mint lemon 1375.42 1546.78 +almond antique violet turquoise frosted 1800.7 1546.78 +almond aquamarine burnished black steel 1414.42 1546.78 +almond aquamarine dodger light gainsboro 1018.1 1546.78 +almond aquamarine floral ivory bisque 1206.26 1546.78 +almond aquamarine midnight light salmon 2031.98 1546.78 +almond aquamarine pink moccasin thistle 1632.66 1546.78 +almond aquamarine rose maroon antique 1698.66 1546.78 +almond aquamarine sandy cyan gainsboro 1701.6 1546.78 +almond aquamarine yellow dodger mint 1844.92 1546.78 +almond azure aquamarine papaya violet 1290.35 1546.78 +almond azure blanched chiffon midnight 1464.48 1546.78 +PREHOOK: query: explain vectorization detail +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2652 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#6) -> boolean + predicate: (p_mfgr = 'Manufacturer#6') (type: boolean) + Statistics: Num rows: 5 Data size: 510 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 'Manufacturer#6' (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#6' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9, 5] + keyExpressions: ConstantVectorExpression(val Manufacturer#6) -> 9:string + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [10] + valueColumns: [] + Statistics: Num rows: 5 Data size: 510 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int) + outputColumnNames: _col5 + Statistics: Num rows: 5 Data size: 1360 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: 'Manufacturer#6' + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 5 Data size: 1360 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: 'Manufacturer#6' (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 5 Data size: 530 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 530 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr sum_window_0 +PREHOOK: query: explain vectorization detail +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5902 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#1) -> boolean + predicate: (p_mfgr = 'Manufacturer#1') (type: boolean) + Statistics: Num rows: 5 Data size: 1135 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 'Manufacturer#1' (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#1' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9, 1] + keyExpressions: ConstantVectorExpression(val Manufacturer#1) -> 9:string + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [10] + valueColumns: [7] + Statistics: Num rows: 5 Data size: 1135 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: avg only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), VALUE._col6 (type: double) + outputColumnNames: _col1, _col7 + Statistics: Num rows: 5 Data size: 1985 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 'Manufacturer#1' + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS CURRENT~FOLLOWING(6) + window function definition + alias: sum_window_1 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS CURRENT~FOLLOWING(6) + Statistics: Num rows: 5 Data size: 1985 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col7 (type: double), round(avg_window_0, 2) (type: double), round(sum_window_1, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 5 Data size: 120 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 120 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_retailprice _c1 _c2 +1173.15 1458.29 8749.73 +1173.15 1515.32 7576.58 +1414.42 1523.54 3047.08 +1602.59 1549.89 4649.67 +1632.66 1632.66 1632.66 +1753.76 1600.86 6403.43 +PREHOOK: query: explain vectorization detail +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2652 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val m1) -> boolean + predicate: (p_mfgr = 'm1') (type: boolean) + Statistics: Num rows: 5 Data size: 510 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 'm1' (type: string) + sort order: + + Map-reduce partition columns: 'm1' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9] + keyExpressions: ConstantVectorExpression(val m1) -> 9:string + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [10] + valueColumns: [5] + Statistics: Num rows: 5 Data size: 510 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:string, VALUE._col5:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, string + Reduce Operator Tree: + Select Operator + expressions: VALUE._col5 (type: int) + outputColumnNames: _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1] + Statistics: Num rows: 5 Data size: 1360 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 'm1' ASC NULLS FIRST + partition by: 'm1' + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1] + functionNames: [sum] + keyInputColumns: [] + native: true + nonKeyInputColumns: [1] + orderExpressions: [ConstantVectorExpression(val m1) -> 3:string] + outputColumns: [2, 1] + outputTypes: [bigint, int] + streamingColumns: [] + Statistics: Num rows: 5 Data size: 1360 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: sum_window_0 (type: bigint) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 5 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 5 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sum_window_0 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_expressions.q.out ql/src/test/results/clientpositive/llap/vector_windowing_expressions.q.out new file mode 100644 index 0000000..5ab77c8 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_expressions.q.out @@ -0,0 +1,2022 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lead and lag function not supported in argument expression of aggregation function sum + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_1 + arguments: lag(...) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_2 + arguments: _col7 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_3 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_4 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: first_value_window_5 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Lead/Lag information: lag(...) (type: double) + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), (round(sum_window_0, 2) = round((sum_window_1 + last_value_window_2), 2)) (type: boolean), ((max_window_3 - min_window_4) = (last_value_window_2 - first_value_window_5)) (type: boolean) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3068 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3068 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size _c3 _c4 +Manufacturer#1 1173.15 2 true true +Manufacturer#1 1173.15 2 true true +Manufacturer#1 1414.42 28 true true +Manufacturer#1 1602.59 6 true true +Manufacturer#1 1632.66 42 true true +Manufacturer#1 1753.76 34 true true +Manufacturer#2 1690.68 14 true true +Manufacturer#2 1698.66 25 true true +Manufacturer#2 1701.6 18 true true +Manufacturer#2 1800.7 40 true true +Manufacturer#2 2031.98 2 true true +Manufacturer#3 1190.27 14 true true +Manufacturer#3 1337.29 45 true true +Manufacturer#3 1410.39 19 true true +Manufacturer#3 1671.68 17 true true +Manufacturer#3 1922.98 1 true true +Manufacturer#4 1206.26 27 true true +Manufacturer#4 1290.35 12 true true +Manufacturer#4 1375.42 39 true true +Manufacturer#4 1620.67 10 true true +Manufacturer#4 1844.92 7 true true +Manufacturer#5 1018.1 46 true true +Manufacturer#5 1464.48 23 true true +Manufacturer#5 1611.66 6 true true +Manufacturer#5 1788.73 2 true true +Manufacturer#5 1789.69 31 true true +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col7 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), rank_window_0 (type: int), sum_window_1 (type: double), (sum_window_1 - 5.0) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3380 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3380 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size r s2 s1 +Manufacturer#1 1173.15 2 1 1173.15 1168.15 +Manufacturer#1 1173.15 2 1 2346.3 2341.3 +Manufacturer#1 1414.42 28 3 3760.7200000000003 3755.7200000000003 +Manufacturer#1 1602.59 6 4 5363.31 5358.31 +Manufacturer#1 1632.66 42 5 6995.97 6990.97 +Manufacturer#1 1753.76 34 6 8749.73 8744.73 +Manufacturer#2 1690.68 14 1 1690.68 1685.68 +Manufacturer#2 1698.66 25 2 3389.34 3384.34 +Manufacturer#2 1701.6 18 3 5090.9400000000005 5085.9400000000005 +Manufacturer#2 1800.7 40 4 6891.64 6886.64 +Manufacturer#2 2031.98 2 5 8923.62 8918.62 +Manufacturer#3 1190.27 14 1 1190.27 1185.27 +Manufacturer#3 1337.29 45 2 2527.56 2522.56 +Manufacturer#3 1410.39 19 3 3937.95 3932.95 +Manufacturer#3 1671.68 17 4 5609.63 5604.63 +Manufacturer#3 1922.98 1 5 7532.610000000001 7527.610000000001 +Manufacturer#4 1206.26 27 1 1206.26 1201.26 +Manufacturer#4 1290.35 12 2 2496.6099999999997 2491.6099999999997 +Manufacturer#4 1375.42 39 3 3872.0299999999997 3867.0299999999997 +Manufacturer#4 1620.67 10 4 5492.7 5487.7 +Manufacturer#4 1844.92 7 5 7337.62 7332.62 +Manufacturer#5 1018.1 46 1 1018.1 1013.1 +Manufacturer#5 1464.48 23 2 2482.58 2477.58 +Manufacturer#5 1611.66 6 3 4094.24 4089.24 +Manufacturer#5 1788.73 2 4 5882.969999999999 5877.969999999999 +Manufacturer#5 1789.69 31 5 7672.66 7667.66 +PREHOOK: query: explain vectorization detail +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), bo (type: boolean), s (type: string), si (type: smallint), f (type: float) + sort order: ++++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 6, 7, 1, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [] + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 1, 4, 6, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lead not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey3 (type: smallint), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col0, _col1, _col4, _col6, _col7 + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col1: smallint, _col4: float, _col6: boolean, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col7 ASC NULLS FIRST, _col1 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: lead_window_0 + arguments: _col4, 3 + name: lead + window function: GenericUDAFLeadEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col4 (type: float), (UDFToFloat(_col1) - lead_window_0) (type: float) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si f _c3 +alice allen 400 76.31 337.23 +alice davidson 384 71.97 357.79 +alice king 455 2.48 395.93 +alice king 458 62.77 384.16998 +alice xylophone 485 26.21 464.05 +bob falkner 260 59.07 242.4 +bob ichabod 454 73.83 381.7 +bob polk 264 20.95 257.17 +bob underhill 454 17.6 424.94 +bob underhill 465 72.3 453.17 +bob van buren 433 6.83 398.4 +calvin ichabod 431 29.06 334.22 +david garcia 485 11.83 421.51 +ethan steinbeck 298 34.6 288.14 +fred ellison 376 96.78 330.76 +holly steinbeck 384 63.49 293.7 +holly underhill 318 9.86 269.91 +irene ellison 458 45.24 365.29 +irene underhill 307 90.3 244.19 +jessica johnson 494 48.09 490.18 +jessica king 459 92.71 452.2 +jessica white 284 62.81 209.08 +luke garcia 311 3.82 267.27 +luke young 451 6.8 429.0 +mike king 275 74.92 211.81 +oscar garcia 362 43.73 340.66 +priscilla laertes 316 22.0 296.06 +priscilla quirinius 423 63.19 362.72 +priscilla zipper 485 21.34 400.61 +quinn ellison 266 19.94 209.95 +quinn polk 507 60.28 447.66 +sarah robinson 320 84.39 309.74 +tom polk 346 56.05 320.33 +ulysses ellison 381 59.34 358.66 +ulysses quirinius 303 10.26 259.6 +ulysses robinson 313 25.67 269.31 +ulysses steinbeck 333 22.34 270.61 +victor allen 337 43.4 311.5 +victor hernandez 447 43.69 375.22 +victor xylophone 438 62.39 424.33 +wendy quirinius 279 25.5 250.25 +wendy robinson 275 71.78 262.88 +wendy xylophone 314 13.67 295.73 +xavier garcia 493 28.75 474.56 +zach thompson 386 12.12 377.63 +zach young 286 18.27 263.65 +alice falkner 280 18.44 227.7 +bob ellison 339 8.37 300.95 +bob johnson 374 22.35 326.49 +calvin white 280 52.3 198.32 +david carson 270 38.05 255.77 +david falkner 469 47.51 388.35 +david hernandez 408 81.68 339.27 +ethan underhill 339 14.23 256.26 +gabriella brown 498 80.65 413.25 +holly nixon 505 68.73 440.71 +holly polk 268 82.74 182.04001 +holly thompson 387 84.75 298.22 +irene young 458 64.29 401.8 +jessica miller 299 85.96 243.41 +katie ichabod 469 88.78 385.61 +luke ichabod 289 56.2 286.74 +luke king 337 55.59 274.88 +mike allen 465 83.39 383.03 +mike polk 500 2.26 427.74 +mike white 454 62.12 430.78 +mike xylophone 448 81.97 447.17 +nick nixon 335 72.26 240.78 +nick robinson 350 23.22 294.59 +oscar davidson 432 0.83 420.93 +oscar johnson 315 94.22 233.05 +oscar johnson 469 55.41 468.44 +oscar miller 324 11.07 265.19 +rachel davidson 507 81.95 468.78 +rachel thompson 344 0.56 246.12 +sarah miller 386 58.81 304.36 +sarah xylophone 275 38.22 177.48999 +sarah zipper 376 97.88 294.61 +tom hernandez 467 81.64 459.9 +tom hernandez 477 97.51 415.19 +tom steinbeck 414 81.39 361.87 +ulysses carson 343 7.1 314.22 +victor robinson 415 61.81 349.5 +victor thompson 344 52.13 NULL +xavier ovid 280 28.78 NULL +yuri xylophone 430 65.5 NULL +alice underhill 389 26.68 368.06 +alice underhill 446 6.49 444.21 +bob ovid 331 67.12 236.43 +bob van buren 406 20.94 383.32 +david falkner 406 1.79 374.34 +david miller 450 94.57 380.13 +ethan allen 380 22.68 375.6 +ethan king 395 31.66 361.51 +ethan nixon 475 69.87 431.39 +ethan polk 283 4.4 243.82 +fred allen 331 33.49 281.68 +fred king 511 43.61 457.22 +fred polk 261 39.18 248.73 +fred young 303 49.32 221.51001 +PREHOOK: query: explain vectorization detail +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), i (type: int), s (type: string) + sort order: +++ + Map-reduce partition columns: si (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 2, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lead not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col7 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: lead_window_0 + arguments: _col2, 3, 0 + name: lead + window function: GenericUDAFLeadEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), (_col2 - lead_window_0) (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +wendy garcia 65540 -18 +ethan thompson 65543 -20 +zach nixon 65549 -31 +alice robinson 65558 -28 +wendy nixon 65563 -33 +victor robinson 65580 -19 +ethan falkner 65586 -18 +victor davidson 65596 -17 +xavier quirinius 65599 -14 +fred quirinius 65604 -11 +nick zipper 65613 -3 +xavier van buren 65613 -7 +victor johnson 65615 -12 +alice ovid 65616 -24 +xavier ovid 65620 -23 +ulysses white 65627 -24 +sarah white 65640 -13 +calvin young 65643 -25 +victor thompson 65651 -42 +calvin johnson 65653 -53 +irene polk 65668 -45 +zach underhill 65693 -38 +quinn hernandez 65706 -27 +rachel ovid 65713 -24 +gabriella falkner 65731 -7 +zach white 65733 -8 +fred hernandez 65737 -7 +rachel ellison 65738 -6 +oscar steinbeck 65741 -6 +alice ellison 65744 -8 +tom allen 65744 -19 +quinn quirinius 65747 -31 +victor hernandez 65752 -26 +holly xylophone 65763 -26 +david davidson 65778 65778 +ulysses young 65778 65778 +sarah brown 65789 65789 +xavier brown 65541 -16 +zach hernandez 65542 -18 +katie ichabod 65547 -19 +oscar young 65557 -15 +holly white 65560 -14 +priscilla laertes 65566 -9 +ethan king 65572 -6 +zach hernandez 65574 -10 +oscar thompson 65575 -13 +victor xylophone 65578 -16 +gabriella ellison 65584 -26 +nick quirinius 65588 -22 +holly robinson 65594 -18 +alice xylophone 65610 -16 +yuri brown 65610 -21 +sarah hernandez 65612 -26 +katie garcia 65626 -28 +jessica laertes 65631 -23 +ethan underhill 65638 -17 +irene young 65654 -37 +priscilla thompson 65654 -40 +luke quirinius 65655 -44 +david brown 65691 -20 +luke falkner 65694 -18 +priscilla miller 65699 -20 +rachel robinson 65711 -9 +ethan polk 65712 -10 +wendy brown 65719 -13 +mike underhill 65720 -18 +zach underhill 65722 -26 +nick zipper 65732 -20 +fred brown 65738 -18 +ulysses young 65748 -23 +nick davidson 65752 -19 +fred zipper 65756 -15 +yuri nixon 65771 -10 +zach hernandez 65771 -19 +zach zipper 65771 65771 +alice underhill 65781 65781 +oscar laertes 65790 65790 +sarah zipper 65546 -19 +bob falkner 65551 -17 +luke ovid 65551 -17 +katie allen 65565 -4 +nick falkner 65568 -5 +zach steinbeck 65568 -11 +oscar van buren 65569 -13 +gabriella young 65573 -11 +jessica ichabod 65579 -24 +david garcia 65582 -24 +nick xylophone 65584 -27 +calvin johnson 65603 -14 +xavier zipper 65606 -50 +alice nixon 65611 -58 +jessica laertes 65617 -62 +fred king 65656 -61 +priscilla underhill 65669 -48 +priscilla zipper 65679 -45 +nick king 65717 -11 +sarah polk 65717 -17 +irene quirinius 65724 -28 +tom laertes 65728 -25 +yuri johnson 65734 -27 +PREHOOK: query: explain vectorization detail +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: b (type: bigint), si (type: smallint), s (type: string), d (type: double) + sort order: ++++ + Map-reduce partition columns: b (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 1, 7, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 3, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey3 (type: double), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col1, _col3, _col5, _col7 + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col3: bigint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col7 ASC NULLS FIRST, _col5 ASC NULLS FIRST + partition by: _col3 + raw input shape: + window functions: + window function definition + alias: lag_window_0 + arguments: _col5, 3 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col5 (type: double), (UDFToDouble(_col1) - lag_window_0) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 12000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 12000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si d _c3 +jessica ellison 262 30.41 NULL +david young 266 45.12 NULL +jessica steinbeck 274 2.15 NULL +david zipper 275 43.45 244.59 +zach nixon 283 15.95 237.88 +holly allen 285 24.37 282.85 +irene garcia 292 33.54 248.55 +ulysses xylophone 292 44.66 276.05 +irene van buren 309 35.81 284.63 +sarah miller 312 6.65 278.46 +victor garcia 312 39.14 267.34000000000003 +ethan ichabod 319 29.4 283.19 +wendy falkner 322 10.02 315.35 +oscar miller 324 25.95 284.86 +david ovid 332 28.34 302.6 +alice zipper 333 3.38 322.98 +yuri nixon 333 8.28 307.05 +ulysses nixon 335 18.48 306.66 +david ovid 336 9.36 332.62 +calvin falkner 337 17.63 328.72 +katie quirinius 349 11.3 330.52 +quinn miller 351 22.46 341.64 +victor xylophone 357 38.58 339.37 +ethan garcia 368 9.2 356.7 +nick steinbeck 395 37.54 372.54 +ulysses ichabod 415 47.61 376.42 +rachel thompson 416 37.99 406.8 +calvin young 418 47.22 380.46 +katie xylophone 425 32.59 377.39 +nick quirinius 429 19.63 391.01 +ethan ellison 453 47.92 405.78 +irene nixon 454 48.03 421.40999999999997 +bob steinbeck 462 47.04 442.37 +luke robinson 462 47.48 414.08 +gabriella steinbeck 467 9.35 418.97 +tom hernandez 467 29.36 419.96 +irene polk 485 14.26 437.52 +mike xylophone 494 36.92 484.65 +calvin allen 499 39.99 469.64 +quinn steinbeck 503 16.62 488.74 +calvin thompson 263 30.87 NULL +rachel quirinius 263 29.46 NULL +ulysses garcia 263 31.85 NULL +mike steinbeck 266 48.57 235.13 +rachel young 275 14.75 245.54 +tom king 278 31.11 246.15 +oscar robinson 283 30.35 234.43 +zach allen 284 1.88 269.25 +bob king 308 27.61 276.89 +ulysses allen 310 22.77 279.65 +fred nixon 317 0.48 315.12 +gabriella robinson 321 0.33 293.39 +bob johnson 325 9.61 302.23 +rachel davidson 335 2.34 334.52 +fred brown 337 5.8 336.67 +wendy ellison 350 20.25 340.39 +zach falkner 391 13.67 388.66 +katie xylophone 410 39.09 404.2 +holly king 413 3.56 392.75 +sarah van buren 417 7.81 403.33 +calvin van buren 430 36.01 390.90999999999997 +katie white 434 33.56 430.44 +oscar quirinius 454 7.03 446.19 +zach young 505 18.19 468.99 +gabriella robinson 506 12.8 472.44 +sarah xylophone 507 16.09 499.97 +rachel thompson 267 46.87 NULL +gabriella van buren 271 41.04 NULL +mike steinbeck 284 11.44 NULL +ethan ovid 293 2.08 246.13 +luke falkner 293 40.67 251.96 +irene nixon 321 24.35 309.56 +mike van buren 327 2.58 324.92 +ulysses robinson 329 26.64 288.33 +quinn laertes 332 10.71 307.65 +tom polk 346 34.03 343.42 +jessica johnson 352 45.71 325.36 +xavier davidson 354 33.9 343.29 +wendy nixon 364 29.42 329.97 +jessica quirinius 375 47.33 329.29 +xavier brown 376 26.17 342.1 +gabriella davidson 383 18.87 353.58 +jessica brown 388 34.09 340.67 +gabriella garcia 391 32.44 364.83 +ethan miller 396 49.07 377.13 +bob garcia 416 7.82 381.90999999999997 +priscilla hernandez 416 29.94 383.56 +holly nixon 419 17.81 369.93 +nick underhill 429 39.54 421.18 +xavier falkner 434 0.88 404.06 +luke robinson 461 44.02 443.19 +bob underhill 465 22.58 425.46 +ulysses king 483 37.98 482.12 +jessica miller 486 26.14 441.98 +bob ovid 493 9.7 470.42 +alice falkner 500 37.85 462.02 +quinn xylophone 267 49.8 NULL +gabriella thompson 268 17.15 NULL +calvin xylophone 275 49.32 NULL +gabriella zipper 279 30.41 229.2 +PREHOOK: query: explain vectorization detail +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: f (type: float), b (type: bigint) + sort order: ++ + Map-reduce partition columns: f (type: float) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [4, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [7] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey0 (type: float), VALUE._col5 (type: string) + outputColumnNames: _col3, _col4, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: lag_window_0 + arguments: _col7, 3, 'fred' + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), lag_window_0 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s lag_window_0 +yuri thompson fred +bob ichabod fred +luke king fred +luke steinbeck fred +fred zipper fred +quinn miller fred +calvin van buren fred +holly steinbeck fred +david davidson fred +calvin thompson fred +calvin quirinius fred +david ovid fred +holly thompson fred +nick zipper fred +victor steinbeck fred +victor robinson fred +zach ovid fred +ulysses zipper fred +luke falkner fred +irene thompson fred +yuri johnson fred +ulysses falkner fred +gabriella robinson fred +alice robinson fred +priscilla xylophone fred +david laertes fred +mike underhill fred +victor van buren fred +holly falkner fred +priscilla falkner fred +ethan ovid fred +luke zipper fred +mike steinbeck fred +calvin white fred +alice quirinius fred +irene miller fred +wendy polk fred +nick young fred +yuri davidson fred +ethan ellison fred +zach hernandez fred +wendy miller fred +katie underhill fred +irene zipper fred +holly allen fred +quinn brown fred +calvin ovid fred +zach robinson fred +nick miller fred +mike allen fred +yuri van buren fred +priscilla young fred +zach miller fred +victor xylophone fred +sarah falkner fred +rachel ichabod fred +alice robinson fred +calvin ovid fred +calvin ovid fred +luke laertes fred +david hernandez fred +alice ovid fred +luke quirinius fred +oscar white fred +zach falkner fred +rachel thompson fred +priscilla king fred +xavier polk fred +wendy ichabod fred +rachel ovid fred +wendy allen fred +luke brown fred +mike brown fred +oscar ichabod fred +xavier garcia fred +yuri brown fred +bob xylophone fred +luke davidson fred +ethan quirinius fred +zach davidson fred +irene miller fred +wendy king fred +bob zipper fred +sarah thompson fred +bob carson fred +bob laertes fred +xavier allen fred +sarah robinson fred +david king fred +oscar davidson fred +victor hernandez fred +wendy polk fred +david ellison fred +ulysses johnson fred +jessica ovid fred +bob king fred +ulysses garcia fred +irene falkner fred +holly robinson fred +yuri white fred +PREHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5460 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_type (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string), p_type (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [2, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [7] + Statistics: Num rows: 26 Data size: 5460 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col5:double + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col2, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 26 Data size: 12428 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2, _col4 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 0] + outputColumns: [3, 0, 1, 2] + outputTypes: [double, string, string, double] + partitionExpressions: [col 0, col 1] + streamingColumns: [] + Statistics: Num rows: 26 Data size: 12428 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 3] + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr avg_window_0 +Manufacturer#2 1800.7 +Manufacturer#4 1375.42 +Manufacturer#4 1620.67 +Manufacturer#4 1206.26 +Manufacturer#5 1788.73 +Manufacturer#1 1632.66 +Manufacturer#2 1690.68 +Manufacturer#2 1698.66 +Manufacturer#2 1701.6 +Manufacturer#3 1337.29 +Manufacturer#4 1844.92 +Manufacturer#4 1290.35 +Manufacturer#5 1018.1 +Manufacturer#5 1789.69 +Manufacturer#1 1753.76 +Manufacturer#1 1602.59 +Manufacturer#1 1173.15 +Manufacturer#1 1173.15 +Manufacturer#1 1414.42 +Manufacturer#2 2031.98 +Manufacturer#3 1922.98 +Manufacturer#3 1410.39 +Manufacturer#3 1190.27 +Manufacturer#5 1464.48 +Manufacturer#5 1611.66 +Manufacturer#3 1671.68 +PREHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5460 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_type (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [7] + Statistics: Num rows: 26 Data size: 5460 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_retailprice (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: avg UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col2, _col4, _col7 + Statistics: Num rows: 26 Data size: 12428 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 12428 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 2756 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr avg_window_0 +Manufacturer#1 1753.76 +Manufacturer#1 1693.21 +Manufacturer#1 1663.0033333333333 +Manufacturer#1 1540.54 +Manufacturer#1 1467.062 +Manufacturer#1 1458.2883333333332 +Manufacturer#2 1800.7 +Manufacturer#2 1745.69 +Manufacturer#2 1841.1200000000001 +Manufacturer#2 1805.505 +Manufacturer#2 1784.7240000000002 +Manufacturer#3 1922.98 +Manufacturer#3 1666.685 +Manufacturer#3 1668.3500000000001 +Manufacturer#3 1548.83 +Manufacturer#3 1506.522 +Manufacturer#4 1844.92 +Manufacturer#4 1610.17 +Manufacturer#4 1613.67 +Manufacturer#4 1511.8175 +Manufacturer#4 1467.5240000000001 +Manufacturer#5 1018.1 +Manufacturer#5 1241.29 +Manufacturer#5 1424.0900000000001 +Manufacturer#5 1515.25 +Manufacturer#5 1534.532 +PREHOOK: query: create table t1 (a1 int, b1 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@t1 +POSTHOOK: query: create table t1 (a1 int, b1 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@t1 +PREHOOK: query: create table t2 (a1 int, b1 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@t2 +POSTHOOK: query: create table t2 (a1 int, b1 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@t2 +PREHOOK: query: explain vectorization detail +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + Stage-4 depends on stages: Stage-0 + Stage-1 depends on stages: Stage-3 + Stage-5 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), i (type: int) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [7] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:int, VALUE._col6:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [bigint, int, string, timestamp] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: bigint), _col7 (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: UDFToInteger(_col0) (type: int), _col1 (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t1 + Select Operator + expressions: UDFToInteger(_col0) (type: int), _col1 (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t2 + + Stage: Stage-3 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t1 + + Stage: Stage-4 + Stats-Aggr Operator + + Stage: Stage-1 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t2 + + Stage: Stage-5 + Stats-Aggr Operator + +PREHOOK: query: from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +PREHOOK: Output: default@t1 +PREHOOK: Output: default@t2 +POSTHOOK: query: from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +POSTHOOK: Output: default@t1 +POSTHOOK: Output: default@t2 +POSTHOOK: Lineage: t1.a1 SCRIPT [(over10k)over10k.FieldSchema(name:t, type:tinyint, comment:null), (over10k)over10k.FieldSchema(name:si, type:smallint, comment:null), (over10k)over10k.FieldSchema(name:i, type:int, comment:null), (over10k)over10k.FieldSchema(name:b, type:bigint, comment:null), (over10k)over10k.FieldSchema(name:f, type:float, comment:null), (over10k)over10k.FieldSchema(name:d, type:double, comment:null), (over10k)over10k.FieldSchema(name:bo, type:boolean, comment:null), (over10k)over10k.FieldSchema(name:s, type:string, comment:null), (over10k)over10k.FieldSchema(name:ts, type:timestamp, comment:null), (over10k)over10k.FieldSchema(name:dec, type:decimal(4,2), comment:null), (over10k)over10k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: t1.b1 SIMPLE [(over10k)over10k.FieldSchema(name:s, type:string, comment:null), ] +POSTHOOK: Lineage: t2.a1 SCRIPT [(over10k)over10k.FieldSchema(name:t, type:tinyint, comment:null), (over10k)over10k.FieldSchema(name:si, type:smallint, comment:null), (over10k)over10k.FieldSchema(name:i, type:int, comment:null), (over10k)over10k.FieldSchema(name:b, type:bigint, comment:null), (over10k)over10k.FieldSchema(name:f, type:float, comment:null), (over10k)over10k.FieldSchema(name:d, type:double, comment:null), (over10k)over10k.FieldSchema(name:bo, type:boolean, comment:null), (over10k)over10k.FieldSchema(name:s, type:string, comment:null), (over10k)over10k.FieldSchema(name:ts, type:timestamp, comment:null), (over10k)over10k.FieldSchema(name:dec, type:decimal(4,2), comment:null), (over10k)over10k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: t2.b1 SIMPLE [(over10k)over10k.FieldSchema(name:s, type:string, comment:null), ] +_col0 _col1 +PREHOOK: query: select * from t1 limit 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@t1 +#### A masked pattern was here #### +POSTHOOK: query: select * from t1 limit 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@t1 +#### A masked pattern was here #### +t1.a1 t1.b1 +65542 rachel thompson +131088 oscar brown +262258 wendy steinbeck +PREHOOK: query: select * from t2 limit 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@t2 +#### A masked pattern was here #### +POSTHOOK: query: select * from t2 limit 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@t2 +#### A masked pattern was here #### +t2.a1 t2.b1 +65542 rachel thompson +131088 oscar brown +262258 wendy steinbeck +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [5] + Statistics: Num rows: 26 Data size: 2860 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: p_size (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: lead and lag function not supported in argument expression of aggregation function sum + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_1 + arguments: lag(...) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_2 + arguments: _col7 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Lead/Lag information: lag(...) (type: double) + Statistics: Num rows: 26 Data size: 9828 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), ((round(sum_window_0, 2) + 50.0) = round((sum_window_1 + last_value_window_2), 2)) (type: boolean) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 2964 Basic stats: COMPLETE Column stats: COMPLETE + Limit + Number of rows: 11 + Statistics: Num rows: 11 Data size: 1254 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 11 Data size: 1254 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 11 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size _c3 +Manufacturer#1 1173.15 2 true +Manufacturer#1 1173.15 2 true +Manufacturer#1 1414.42 28 true +Manufacturer#1 1602.59 6 true +Manufacturer#1 1632.66 42 true +Manufacturer#1 1753.76 34 true +Manufacturer#2 1690.68 14 true +Manufacturer#2 1698.66 25 true +Manufacturer#2 1701.6 18 true +Manufacturer#2 1800.7 40 true +Manufacturer#2 2031.98 2 true diff --git ql/src/test/results/clientpositive/llap/vector_windowing_gby.q.out ql/src/test/results/clientpositive/llap/vector_windowing_gby.q.out new file mode 100644 index 0000000..0514c2e --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_gby.q.out @@ -0,0 +1,314 @@ +PREHOOK: query: explain vectorization detail + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 1767 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 1) -> boolean + predicate: value is not null (type: boolean) + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: value (type: string), c_int (type: int), c_boolean (type: boolean) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 4] + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2, 4] + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: int), _col2 (type: boolean) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [1, 2, 4] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + Map 5 + Map Operator Tree: + TableScan + alias: wr + Statistics: Num rows: 12288 Data size: 899146 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 6) -> boolean + predicate: cstring1 is not null (type: boolean) + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: cint (type: int), cstring1 (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 6] + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [6] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2] + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: int) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 12 + includeColumns: [2, 6] + dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, cboolean2:boolean + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 36 Data size: 284 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(_col3), sum(_col1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col2 (type: boolean) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: boolean) + sort order: + + Map-reduce partition columns: _col0 (type: boolean) + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:boolean, VALUE._col0:bigint, VALUE._col1:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 1) -> bigint, VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0, 1] + keys: KEY._col0 (type: boolean) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: bigint), _col2 (type: bigint) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2] + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 0 (type: int), (UDFToDouble(_col1) / UDFToDouble(_col2)) (type: double) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 6] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long, DoubleColDivideDoubleColumn(col 4, col 5)(children: CastLongToDouble(col 1) -> 4:double, CastLongToDouble(col 2) -> 5:double) -> 6:double + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [1, 2] + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:double, VALUE._col1:bigint, VALUE._col2:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3] + Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: (UDFToDouble(_col1) / UDFToDouble(_col2)) ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: (UDFToDouble(_col1) / UDFToDouble(_col2)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [DoubleColDivideDoubleColumn(col 6, col 7)(children: CastLongToDouble(col 2) -> 6:double, CastLongToDouble(col 3) -> 7:double) -> 9:double] + functionNames: [rank] + keyInputColumns: [] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [DoubleColDivideDoubleColumn(col 6, col 7)(children: CastLongToDouble(col 2) -> 6:double, CastLongToDouble(col 3) -> 7:double) -> 8:double] + outputColumns: [4, 2, 3] + outputTypes: [int, bigint, bigint] + partitionExpressions: [ConstantVectorExpression(val 0) -> 5:long] + streamingColumns: [4] + Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4] + Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank diff --git ql/src/test/results/clientpositive/llap/vector_windowing_gby2.q.out ql/src/test/results/clientpositive/llap/vector_windowing_gby2.q.out new file mode 100644 index 0000000..72e664f --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_gby2.q.out @@ -0,0 +1,1158 @@ +PREHOOK: query: explain vectorization detail +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 1691 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: key (type: string), c_int (type: int) + outputColumnNames: key, c_int + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2] + Statistics: Num rows: 20 Data size: 1691 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(c_int) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: key (type: string) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7 Data size: 651 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1] + Statistics: Num rows: 7 Data size: 651 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: bigint) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 2] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY._col0:string, VALUE._col0:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 1) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0] + keys: KEY._col0 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7 Data size: 651 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: bigint) + outputColumnNames: _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1] + Statistics: Num rows: 7 Data size: 651 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 0 (type: int), _col1 (type: bigint) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 2:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [3] + valueColumns: [] + Statistics: Num rows: 7 Data size: 651 Basic stats: COMPLETE Column stats: COMPLETE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint) + outputColumnNames: _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1] + Statistics: Num rows: 7 Data size: 56 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 1] + outputTypes: [int, bigint] + partitionExpressions: [ConstantVectorExpression(val 0) -> 3:long] + streamingColumns: [2] + Statistics: Num rows: 7 Data size: 56 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2] + Statistics: Num rows: 7 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank +1 +2 +2 +2 +5 +5 +7 +PREHOOK: query: explain vectorization detail +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 3306 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: UDFToInteger(key) (type: int), value (type: string), c_int (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [5, 1, 2] + selectExpressions: CastStringToLong(col 0) -> 5:int + Statistics: Num rows: 20 Data size: 3306 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: min(_col1), sum(_col2) + Group By Vectorization: + aggregators: VectorUDAFMinString(col 1) -> string, VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1] + keys: _col0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2] + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: string), _col2 (type: bigint) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:int, VALUE._col0:string, VALUE._col1:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + aggregators: VectorUDAFMinString(col 1) -> string, VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0, 1] + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: string), _col2 (type: bigint) + sort order: ++ + Map-reduce partition columns: _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [0] + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: int) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:bigint, VALUE._col0:int + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 1] + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col0 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 2, 0, 1] + outputTypes: [double, int, string, bigint] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 6 Data size: 1176 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: avg_window_0 (type: double) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank +NULL +1.0 +2.0 +3.0 +PREHOOK: query: explain vectorization detail +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) + Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: cbo_t3 + Statistics: Num rows: 20 Data size: 3382 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: key (type: string), value (type: string), (UDFToFloat(c_int) - c_float) (type: float), (UDFToDouble(c_float) / UDFToDouble(c_int)) (type: double), c_int (type: int), ((UDFToDouble(c_float) / UDFToDouble(c_int)) - UDFToDouble(c_int)) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 6, 7, 2, 9] + selectExpressions: DoubleColSubtractDoubleColumn(col 5, col 3)(children: CastLongToFloatViaLongToDouble(col 2) -> 5:double) -> 6:double, DoubleColDivideDoubleColumn(col 3, col 5)(children: col 3, CastLongToDouble(col 2) -> 5:double) -> 7:double, DoubleColSubtractDoubleColumn(col 8, col 5)(children: DoubleColDivideDoubleColumn(col 3, col 5)(children: col 3, CastLongToDouble(col 2) -> 5:double) -> 8:double, CastLongToDouble(col 2) -> 5:double) -> 9:double + Statistics: Num rows: 20 Data size: 3382 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(_col2), sum(_col3), max(_col4), sum(_col5) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 6) -> double, VectorUDAFSumDouble(col 7) -> double, VectorUDAFMaxLong(col 2) -> int, VectorUDAFSumDouble(col 9) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1, 2, 3] + keys: _col0 (type: string), _col1 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkMultiKeyOperator + keyColumns: [0, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2, 3, 4, 5] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col2 (type: double), _col3 (type: double), _col4 (type: int), _col5 (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2, 3] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double, double + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + dataColumns: KEY._col0:string, KEY._col1:string, VALUE._col0:double, VALUE._col1:double, VALUE._col2:int, VALUE._col3:double + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), max(VALUE._col2), sum(VALUE._col3) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 2) -> double, VectorUDAFSumDouble(col 3) -> double, VectorUDAFMaxLong(col 4) -> int, VectorUDAFSumDouble(col 5) -> double + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0, 1, 2, 3] + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: double) + sort order: +- + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [1, 3, 4, 5] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: string), _col3 (type: double), _col4 (type: int), _col5 (type: double) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:double, VALUE._col0:string, VALUE._col1:double, VALUE._col2:int, VALUE._col3:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, string, string + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), KEY.reducesinkkey1 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: int), VALUE._col3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 1, 3, 4, 5] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double, _col3: double, _col4: int, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col2 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3, 4, 5] + orderExpressions: [col 1] + outputColumns: [6, 0, 2, 1, 3, 4, 5] + outputTypes: [int, string, string, double, double, int, double] + partitionExpressions: [col 0] + streamingColumns: [6] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: string), _col3 (type: double), _col4 (type: int), _col5 (type: double) + outputColumnNames: rank_window_0, _col1, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [6, 2, 3, 4, 5] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: lower(_col1) (type: string), _col3 (type: double) + sort order: ++ + Map-reduce partition columns: lower(_col1) (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 3] + keyExpressions: StringLower(col 2) -> 7:String + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [6, 2, 4, 5] + Statistics: Num rows: 10 Data size: 1980 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: rank_window_0 (type: int), _col1 (type: string), _col4 (type: int), _col5 (type: double) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:double, VALUE._col0:int, VALUE._col2:string, VALUE._col4:int, VALUE._col5:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, string + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col2 (type: string), KEY.reducesinkkey1 (type: double), VALUE._col4 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col2, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 1, 4, 5] + Statistics: Num rows: 10 Data size: 1090 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: string, _col4: double, _col5: int, _col6: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: lower(_col2) + raw input shape: + window functions: + window function definition + alias: dense_rank_window_1 + arguments: _col4 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDenseRank] + functionInputExpressions: [col 1] + functionNames: [dense_rank] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2, 3, 4, 5] + orderExpressions: [col 1] + outputColumns: [6, 2, 3, 1, 4, 5] + outputTypes: [int, int, string, double, int, double] + partitionExpressions: [StringLower(col 3) -> 7:String] + streamingColumns: [6] + Statistics: Num rows: 10 Data size: 1090 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: dense_rank_window_1 (type: int), _col0 (type: int), _col5 (type: int), _col6 (type: double) + outputColumnNames: dense_rank_window_1, _col0, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [6, 2, 4, 5] + Statistics: Num rows: 10 Data size: 1090 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col5 (type: int), _col6 (type: double) + sort order: ++ + Map-reduce partition columns: _col5 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [4, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [6, 2] + Statistics: Num rows: 10 Data size: 1090 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: dense_rank_window_1 (type: int), _col0 (type: int) + Reducer 5 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: percent_rank not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col1, _col6, _col7 + Statistics: Num rows: 10 Data size: 200 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col6: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: percent_rank_window_2 + arguments: _col7 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 10 Data size: 200 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: int), _col0 (type: int), percent_rank_window_2 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 10 Data size: 160 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 160 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +_c0 _c1 _c2 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +PREHOOK: query: explain vectorization detail +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) + Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 1767 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 1) -> boolean + predicate: value is not null (type: boolean) + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: value (type: string), c_int (type: int), c_boolean (type: boolean) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 4] + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2, 4] + Statistics: Num rows: 18 Data size: 1581 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: int), _col2 (type: boolean) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [1, 2, 4] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + Map 5 + Map Operator Tree: + TableScan + alias: wr + Statistics: Num rows: 12288 Data size: 899146 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 6) -> boolean + predicate: cstring1 is not null (type: boolean) + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: cint (type: int), cstring1 (type: string) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 6] + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [6] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [2] + Statistics: Num rows: 9174 Data size: 671296 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col0 (type: int) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 12 + includeColumns: [2, 6] + dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, cboolean2:boolean + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 36 Data size: 284 Basic stats: COMPLETE Column stats: COMPLETE + Group By Operator + aggregations: sum(_col3), sum(_col1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col2 (type: boolean) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: _col0 (type: boolean) + sort order: + + Map-reduce partition columns: _col0 (type: boolean) + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY._col0:boolean, VALUE._col0:bigint, VALUE._col1:bigint + partitionColumnCount: 0 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 1) -> bigint, VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: MERGEPARTIAL + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: MERGE_PARTIAL + projectedOutputColumns: [0, 1] + keys: KEY._col0 (type: boolean) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col1 (type: bigint), _col2 (type: bigint) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2] + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: 0 (type: int), (UDFToDouble(_col1) / UDFToDouble(_col2)) (type: double) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [3, 6] + keyExpressions: ConstantVectorExpression(val 0) -> 3:long, DoubleColDivideDoubleColumn(col 4, col 5)(children: CastLongToDouble(col 1) -> 4:double, CastLongToDouble(col 2) -> 5:double) -> 6:double + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [1, 2] + Statistics: Num rows: 2 Data size: 40 Basic stats: COMPLETE Column stats: COMPLETE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Reducer 4 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:double, VALUE._col1:bigint, VALUE._col2:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3] + Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: (UDFToDouble(_col1) / UDFToDouble(_col2)) ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: (UDFToDouble(_col1) / UDFToDouble(_col2)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [DoubleColDivideDoubleColumn(col 6, col 7)(children: CastLongToDouble(col 2) -> 6:double, CastLongToDouble(col 3) -> 7:double) -> 9:double] + functionNames: [rank] + keyInputColumns: [] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [DoubleColDivideDoubleColumn(col 6, col 7)(children: CastLongToDouble(col 2) -> 6:double, CastLongToDouble(col 3) -> 7:double) -> 8:double] + outputColumns: [4, 2, 3] + outputTypes: [int, bigint, bigint] + partitionExpressions: [ConstantVectorExpression(val 0) -> 5:long] + streamingColumns: [4] + Statistics: Num rows: 2 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4] + Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank diff --git ql/src/test/results/clientpositive/llap/vector_windowing_multipartitioning.q.out ql/src/test/results/clientpositive/llap/vector_windowing_multipartitioning.q.out new file mode 100644 index 0000000..15449ff --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_multipartitioning.q.out @@ -0,0 +1,11587 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [3] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: b (type: bigint) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:smallint, VALUE._col2:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), VALUE._col2 (type: bigint), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col3, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1, col 2] + functionNames: [rank, sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 1, 2, 0] + outputTypes: [int, bigint, smallint, bigint, string] + partitionExpressions: [col 0] + streamingColumns: [3] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), rank_window_0 (type: int), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 3, 4] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: 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+zach young 18 77309413396 +zach young 19 81604380855 +zach young 20 85899348152 +zach zipper 1 4294967463 +zach zipper 2 8589934869 +zach zipper 3 12884902205 +zach zipper 4 17179869532 +zach zipper 5 21474836833 +zach zipper 6 25769804330 +zach zipper 7 30064771763 +zach zipper 8 34359739121 +zach zipper 9 38654706613 +zach zipper 10 42949674099 +zach zipper 11 51539608747 +zach zipper 11 51539608747 +zach zipper 13 55834576089 +zach zipper 14 60129543514 +zach zipper 15 64424510915 +zach zipper 16 68719478282 +zach zipper 17 73014445613 +zach zipper 18 77309413123 +PREHOOK: query: explain vectorization detail +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 3913 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), dec (type: decimal(4,2)) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 9] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [3, 8] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + value expressions: b (type: bigint), ts (type: timestamp) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 7, 8, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:decimal(4,2), VALUE._col3:bigint, VALUE._col7:timestamp + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col3 (type: bigint), KEY.reducesinkkey0 (type: string), VALUE._col7 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col3, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 3, 1] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col7: string, _col8: timestamp, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col9 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 0, 3, 1] + outputTypes: [int, bigint, string, timestamp, decimal(4,2)] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col3 (type: bigint), _col7 (type: string), _col8 (type: timestamp) + outputColumnNames: rank_window_0, _col3, _col7, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4, 2, 0, 3] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col7 (type: string), _col8 (type: timestamp) + sort order: +- + Map-reduce partition columns: _col7 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [4, 2] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col3 (type: bigint) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:timestamp, VALUE._col0:int, VALUE._col4:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col4 (type: bigint), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: timestamp) + outputColumnNames: _col0, _col4, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 0, 1] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col4: bigint, _col8: string, _col9: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 DESC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_1 + arguments: _col4 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 3] + functionNames: [sum] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 3, 0, 1] + outputTypes: [bigint, int, bigint, string, timestamp] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 4] + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 sum_window_1 +bob steinbeck 11 4294967344 +bob steinbeck 1 8589934849 +bob steinbeck 2 12884902321 +bob steinbeck 7 17179869870 +bob steinbeck 8 21474837212 +bob steinbeck 9 25769804712 +bob steinbeck 6 30064772008 +bob steinbeck 10 34359739552 +bob steinbeck 3 38654707094 +bob steinbeck 4 42949674515 +bob steinbeck 5 47244642041 +tom allen 9 4294967478 +tom allen 3 8589934816 +tom allen 7 12884902321 +tom allen 16 17179869673 +tom allen 8 21474837072 +tom allen 10 25769804454 +tom allen 15 30064771969 +tom allen 2 34359739365 +tom allen 6 38654706862 +tom allen 18 42949674383 +tom allen 1 47244641842 +tom allen 5 51539609307 +tom allen 19 55834576824 +tom allen 17 60129544192 +tom allen 11 64424511531 +tom allen 4 68719478972 +tom allen 12 73014446496 +tom allen 13 77309413835 +tom allen 14 81604381169 +PREHOOK: query: explain vectorization detail +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string) + sort order: + + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2, 4] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), i (type: int), f (type: float) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, VALUE._col1:smallint, VALUE._col2:int, VALUE._col4:float + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col2 (type: int), VALUE._col4 (type: float), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 3, 0] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2, 3] + orderExpressions: [col 0] + outputColumns: [4, 1, 2, 3, 0] + outputTypes: [bigint, smallint, int, float, string] + streamingColumns: [] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: bigint), _col1 (type: smallint), _col4 (type: float), _col7 (type: string) + outputColumnNames: sum_window_0, _col1, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4, 1, 3, 0] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: smallint) + sort order: + + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [4, 3, 0] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_0 (type: bigint), _col4 (type: float), _col7 (type: string) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:smallint, VALUE._col0:bigint, VALUE._col4:float, VALUE._col7:string + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: smallint), VALUE._col4 (type: float), VALUE._col7 (type: string) + outputColumnNames: _col0, _col2, _col5, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2, 3] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col2: smallint, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2, 3] + orderExpressions: [col 0] + outputColumns: [4, 1, 0, 2, 3] + outputTypes: [double, bigint, smallint, float, string] + streamingColumns: [] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: bigint), sum_window_1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 1, 4] + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 sum_window_1 +bob steinbeck 722083 38.33000183105469 +tom allen 1248023 89.88999938964844 +tom allen 1248023 83.47000122070312 +bob steinbeck 722083 47.810001373291016 +bob steinbeck 722083 68.46999740600586 +tom allen 1248023 68.46999740600586 +bob steinbeck 722083 28.479999542236328 +tom allen 1248023 2.8499999046325684 +bob steinbeck 722083 26.290000915527344 +bob steinbeck 722083 36.209999084472656 +bob steinbeck 722083 83.52999877929688 +tom allen 1248023 39.4900016784668 +bob steinbeck 722083 80.7300033569336 +tom allen 1248023 77.77999877929688 +tom allen 1248023 26.239999771118164 +tom allen 1248023 95.41000366210938 +tom allen 1248023 81.8499984741211 +tom allen 1248023 11.300000190734863 +tom allen 1248023 55.38999938964844 +tom allen 1248023 132.82000350952148 +bob steinbeck 722083 132.82000350952148 +tom allen 1248023 47.16999816894531 +tom allen 1248023 11.069999694824219 +bob steinbeck 722083 83.52999877929688 +tom allen 1248023 19.459999084472656 +tom allen 1248023 14.510000228881836 +tom allen 1248023 38.93000030517578 +tom allen 1248023 15.84000015258789 +tom allen 1248023 52.779998779296875 +bob steinbeck 722083 9.699999809265137 +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), bo (type: boolean) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 6] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [1, 10] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), bin (type: binary) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 6, 7, 10] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:boolean, VALUE._col1:smallint, VALUE._col8:binary + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey0 (type: string), VALUE._col8 (type: binary) + outputColumnNames: _col1, _col6, _col7, _col10 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 0, 3] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col6: boolean, _col7: string, _col10: binary + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col6 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 1, 0, 3] + outputTypes: [int, smallint, boolean, string, binary] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: smallint), _col7 (type: string), _col10 (type: binary) + outputColumnNames: rank_window_0, _col1, _col7, _col10 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4, 2, 0, 3] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: smallint), _col10 (type: binary) + sort order: +- + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [4, 0] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col7 (type: string) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:smallint, KEY.reducesinkkey1:binary, VALUE._col0:int, VALUE._col7:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: smallint), VALUE._col7 (type: string), KEY.reducesinkkey1 (type: binary) + outputColumnNames: _col0, _col2, _col8, _col11 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 3, 1] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: smallint, _col8: string, _col11: binary + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col11 DESC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_1 + arguments: _col11 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 0, 3, 1] + outputTypes: [int, int, smallint, string, binary] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2, 4] + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 rank_window_1 +tom allen 1 1 +tom allen 1 1 +tom allen 7 1 +bob steinbeck 1 1 +bob steinbeck 5 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 1 1 +bob steinbeck 5 1 +tom allen 1 1 +bob steinbeck 1 1 +tom allen 7 1 +tom allen 1 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 1 2 +bob steinbeck 5 1 +tom allen 1 1 +bob steinbeck 1 1 +tom allen 7 2 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: i (type: int) + sort order: + + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [4, 7] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + value expressions: f (type: float), s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:int, VALUE._col3:float, VALUE._col6:string + partitionColumnCount: 0 + scratchColumnTypeNames: double, bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col3 (type: float), VALUE._col6 (type: string) + outputColumnNames: _col2, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [col 1] + functionNames: [sum] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 0, 1, 2] + outputTypes: [double, int, float, string] + streamingColumns: [] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: double), _col4 (type: float), _col7 (type: string) + outputColumnNames: sum_window_0, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 1, 2] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 0 (type: int), _col4 (type: float) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [4, 1] + keyExpressions: ConstantVectorExpression(val 0) -> 4:long + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [5] + valueColumns: [3, 2] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_0 (type: double), _col7 (type: string) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:float, VALUE._col0:double, VALUE._col7:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: double), KEY.reducesinkkey1 (type: float), VALUE._col7 (type: string) + outputColumnNames: _col0, _col5, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 3] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: double, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: row_number_window_1 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber] + functionInputExpressions: [null] + functionNames: [row_number] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 1, 3] + outputTypes: [int, double, float, string] + partitionExpressions: [ConstantVectorExpression(val 0) -> 5:long] + streamingColumns: [4] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: double), row_number_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2, 4] + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 row_number_window_1 +tom allen 2.8499999046325684 1 +bob steinbeck 9.699999809265137 2 +tom allen 11.069999694824219 3 +tom allen 11.300000190734863 4 +tom allen 54.00000190734863 5 +tom allen 15.84000015258789 6 +tom allen 19.459999084472656 7 +tom allen 26.239999771118164 8 +bob steinbeck 26.290000915527344 9 +bob steinbeck 27.959999084472656 10 +bob steinbeck 28.479999542236328 11 +bob steinbeck 36.209999084472656 12 +bob steinbeck 38.33000183105469 13 +tom allen 38.93000030517578 14 +tom allen 54.00000190734863 15 +tom allen 40.5099983215332 16 +tom allen 47.16999816894531 17 +bob steinbeck 47.810001373291016 18 +tom allen 50.630001068115234 19 +tom allen 52.779998779296875 20 +tom allen 55.38999938964844 21 +tom allen 77.77999877929688 22 +bob steinbeck 80.7300033569336 23 +tom allen 81.8499984741211 24 +bob steinbeck 82.19000244140625 25 +tom allen 83.47000122070312 26 +bob steinbeck 83.52999877929688 27 +bob steinbeck 83.52999877929688 28 +tom allen 89.88999938964844 29 +tom allen 95.41000366210938 30 +PREHOOK: query: explain vectorization detail +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4625 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), dec (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 9] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [1, 4] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), f (type: float) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 4, 7, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:decimal(4,2), VALUE._col1:smallint, VALUE._col4:float + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col4 (type: float), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col1, _col4, _col7, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 0, 1] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col4: float, _col7: string, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col9 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 3, 0, 1] + outputTypes: [int, smallint, float, string, decimal(4,2)] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: smallint), _col4 (type: float), _col7 (type: string) + outputColumnNames: rank_window_0, _col1, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4, 2, 3, 0] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: smallint), _col4 (type: float) + sort order: ++ + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [4, 0] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col7 (type: string) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:smallint, KEY.reducesinkkey1:float, VALUE._col0:int, VALUE._col6:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string) + outputColumnNames: _col0, _col2, _col5, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 0, 1, 3] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: smallint, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_1 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 0, 1, 3] + outputTypes: [int, int, smallint, float, string] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 2, 4] + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 rank_window_1 +tom allen 14 1 +tom allen 17 1 +tom allen 7 1 +bob steinbeck 1 1 +bob steinbeck 11 1 +bob steinbeck 7 1 +tom allen 12 1 +tom allen 15 1 +bob steinbeck 10 1 +tom allen 13 1 +bob steinbeck 5 1 +tom allen 11 1 +tom allen 2 1 +tom allen 9 1 +bob steinbeck 8 1 +tom allen 3 1 +tom allen 4 1 +tom allen 8 1 +bob steinbeck 3 1 +tom allen 10 1 +tom allen 18 1 +tom allen 19 1 +bob steinbeck 6 1 +tom allen 5 1 +bob steinbeck 9 1 +tom allen 6 2 +bob steinbeck 4 1 +tom allen 16 1 +tom allen 1 1 +bob steinbeck 2 2 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_navfn.q.out ql/src/test/results/clientpositive/llap/vector_windowing_navfn.q.out index 9e62256..6d66a55 100644 --- ql/src/test/results/clientpositive/llap/vector_windowing_navfn.q.out +++ ql/src/test/results/clientpositive/llap/vector_windowing_navfn.q.out @@ -111,12 +111,21 @@ STAGE PLANS: partitionColumnCount: 0 scratchColumnTypeNames: bigint Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + dataColumns: KEY.reducesinkkey0:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint Reduce Operator Tree: PTF Operator Function definitions: @@ -135,15 +144,34 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber] + functionInputExpressions: [null] + functionNames: [row_number] + keyInputColumns: [] + native: true + nonKeyInputColumns: [] + orderExpressions: [ConstantVectorExpression(val 0) -> 2:long] + outputColumns: [1] + outputTypes: [int] + streamingColumns: [1] Statistics: Num rows: 2 Data size: 174 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: row_number_window_0 (type: int) outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1] Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 2 Data size: 8 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -227,16 +255,29 @@ STAGE PLANS: dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:double, KEY.reducesinkkey1:decimal(4,2), VALUE._col6:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey0 (type: double), VALUE._col6 (type: string), KEY.reducesinkkey1 (type: decimal(4,2)) outputColumnNames: _col5, _col7, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 1] Statistics: Num rows: 4625 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -255,18 +296,41 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRowNumber] + functionInputExpressions: [null] + functionNames: [row_number] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 0, 2, 1] + outputTypes: [int, double, string, decimal(4,2)] + partitionExpressions: [col 0] + streamingColumns: [3] Statistics: Num rows: 4625 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col7 (type: string), row_number_window_0 (type: int) outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3] Statistics: Num rows: 4625 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Limit Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true Statistics: Num rows: 100 Data size: 22000 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 100 Data size: 22000 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -452,7 +516,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lead not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -477,7 +541,7 @@ STAGE PLANS: arguments: _col7 name: lead window function: GenericUDAFLeadEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 4799 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -673,7 +737,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -698,7 +762,7 @@ STAGE PLANS: arguments: _col9 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -891,16 +955,29 @@ STAGE PLANS: dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary partitionColumnCount: 0 Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:double, KEY.reducesinkkey1:float, VALUE._col0:tinyint, VALUE._col5:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint Reduce Operator Tree: Select Operator expressions: VALUE._col0 (type: tinyint), KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: double), VALUE._col5 (type: string) outputColumnNames: _col0, _col4, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 0, 3] Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -920,17 +997,40 @@ STAGE PLANS: arguments: _col0 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongLastValue] + functionInputExpressions: [col 2] + functionNames: [last_value] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2, 3] + orderExpressions: [col 1] + outputColumns: [4, 2, 1, 0, 3] + outputTypes: [tinyint, tinyint, float, double, string] + partitionExpressions: [col 0] + streamingColumns: [] Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col7 (type: string), last_value_window_0 (type: tinyint) outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 4] Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Limit Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -1115,7 +1215,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: string data type not supported in argument expression of aggregation function first_value vectorized: false Reduce Operator Tree: Select Operator @@ -1140,7 +1240,7 @@ STAGE PLANS: arguments: _col7 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col7 (type: string), first_value_window_0 (type: string) @@ -1343,16 +1443,29 @@ STAGE PLANS: partitionColumnCount: 0 scratchColumnTypeNames: bigint, bigint Reducer 2 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:tinyint, KEY.reducesinkkey1:string, VALUE._col2:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint Reduce Operator Tree: Select Operator expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: string) outputColumnNames: _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1] Statistics: Num rows: 4710 Data size: 508717 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -1372,14 +1485,35 @@ STAGE PLANS: arguments: _col2 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongLastValue] + functionInputExpressions: [col 2] + functionNames: [last_value] + keyInputColumns: [1] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 2, 1] + outputTypes: [int, int, string] + partitionExpressions: [ConstantVectorExpression(val 10) -> 4:long] + streamingColumns: [] Statistics: Num rows: 4710 Data size: 508717 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: 10 (type: tinyint), _col7 (type: string), _col2 (type: int), last_value_window_0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [5, 1, 2, 3] + selectExpressions: ConstantVectorExpression(val 10) -> 5:long Statistics: Num rows: 4710 Data size: 508717 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 4710 Data size: 508717 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -1504,7 +1638,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -1529,25 +1663,25 @@ STAGE PLANS: arguments: _col1 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: first_value_window_1 arguments: _col1, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: first_value_window_2 arguments: _col1 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) window function definition alias: first_value_window_3 arguments: _col1, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) Statistics: Num rows: 15 Data size: 52 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: int), _col1 (type: int), first_value_window_0 (type: int), first_value_window_1 (type: int), first_value_window_2 (type: int), first_value_window_3 (type: int) @@ -1674,7 +1808,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: first_value only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -1699,25 +1833,25 @@ STAGE PLANS: arguments: _col1 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: first_value_window_1 arguments: _col1, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: first_value_window_2 arguments: _col1 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) window function definition alias: first_value_window_3 arguments: _col1, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) Statistics: Num rows: 15 Data size: 52 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: int), _col1 (type: int), first_value_window_0 (type: int), first_value_window_1 (type: int), first_value_window_2 (type: int), first_value_window_3 (type: int) @@ -1844,7 +1978,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: last_value only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -1869,25 +2003,25 @@ STAGE PLANS: arguments: _col1 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: last_value_window_1 arguments: _col1, true name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: last_value_window_2 arguments: _col1 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) window function definition alias: last_value_window_3 arguments: _col1, true name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) Statistics: Num rows: 15 Data size: 52 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: int), _col1 (type: int), last_value_window_0 (type: int), last_value_window_1 (type: int), last_value_window_2 (type: int), last_value_window_3 (type: int) @@ -2014,7 +2148,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: last_value only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -2039,25 +2173,25 @@ STAGE PLANS: arguments: _col1 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: last_value_window_1 arguments: _col1, true name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(1)~FOLLOWING(1) + window frame: ROWS PRECEDING(1)~FOLLOWING(1) window function definition alias: last_value_window_2 arguments: _col1 name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) window function definition alias: last_value_window_3 arguments: _col1, true name: last_value window function: GenericUDAFLastValueEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(1) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(1) Statistics: Num rows: 15 Data size: 52 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: int), _col1 (type: int), last_value_window_0 (type: int), last_value_window_1 (type: int), last_value_window_2 (type: int), last_value_window_3 (type: int) diff --git ql/src/test/results/clientpositive/llap/vector_windowing_order_null.q.out ql/src/test/results/clientpositive/llap/vector_windowing_order_null.q.out new file mode 100644 index 0000000..565df0a --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_order_null.q.out @@ -0,0 +1,1232 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over4_null' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over4_null' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), s (type: string), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 7, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col2, _col3, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS LAST, _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col7 (type: string), _col3 (type: bigint), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +i s b sum_window_0 +NULL alice ichabod NULL NULL +NULL NULL NULL NULL +65534 calvin miller NULL NULL +65534 NULL NULL NULL +65536 alice ichabod 4294967441 4294967441 +65536 alice robinson 4294967476 8589934917 +65536 bob robinson 4294967349 12884902266 +65536 calvin thompson 4294967336 17179869602 +65536 david johnson 4294967490 21474837092 +65536 david laertes 4294967431 25769804523 +PREHOOK: query: explain vectorization detail +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: d (type: double), s (type: string), f (type: float) + sort order: ++- + Map-reduce partition columns: d (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [5, 7, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [5] + valueColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col4, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 DESC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col5 (type: double), _col7 (type: string), _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +d s f sum_window_0 +NULL alice ichabod NULL NULL +NULL calvin miller NULL NULL +0.01 NULL NULL NULL +0.01 NULL NULL NULL +0.01 calvin miller 8.39 8.390000343322754 +0.02 NULL NULL NULL +0.02 holly polk 5.29 5.289999961853027 +0.02 wendy quirinius 25.5 30.789999961853027 +0.02 yuri laertes 37.59 68.38000011444092 +0.03 nick steinbeck 79.24 79.23999786376953 +PREHOOK: query: explain vectorization detail +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [7] + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: timestamp), _col7 (type: string), _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts s f sum_window_0 +2013-03-01 09:11:58.70307 NULL NULL 1276.850001335144 +2013-03-01 09:11:58.70307 gabriella xylophone 3.17 1276.850001335144 +2013-03-01 09:11:58.70307 calvin brown 10.89 1273.68000125885 +2013-03-01 09:11:58.70307 jessica laertes 14.54 1262.7900009155273 +2013-03-01 09:11:58.70307 yuri allen 14.78 1248.2500009536743 +2013-03-01 09:11:58.70307 tom johnson 17.85 1233.4700012207031 +2013-03-01 09:11:58.70307 bob ovid 20.61 1215.6200008392334 +2013-03-01 09:11:58.70307 fred nixon 28.69 1195.0100002288818 +2013-03-01 09:11:58.70307 oscar brown 29.22 1166.3199996948242 +2013-03-01 09:11:58.70307 calvin laertes 31.17 1137.1000003814697 +PREHOOK: query: explain vectorization detail +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), s (type: string), d (type: double) + sort order: ++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 7, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: avg only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col0, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col5 DESC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(5)~FOLLOWING(5) + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col7 (type: string), _col5 (type: double), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +t s d avg_window_0 +-3 alice allen 29.44 33.20166666666666 +-3 alice davidson 31.52 30.741428571428568 +-3 alice falkner 49.8 27.742499999999996 +-3 alice king 41.5 26.706666666666663 +-3 alice king 30.76 26.306999999999995 +-3 alice xylophone 16.19 24.458181818181814 +-3 bob ellison 15.98 25.029090909090908 +-3 bob falkner 6.75 24.216363636363635 +-3 bob ichabod 18.42 20.173636363636362 +-3 bob johnson 22.71 16.431818181818176 +PREHOOK: query: explain vectorization detail +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [2] + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: i (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:string, VALUE._col2:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 0] + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 2, 1, 0] + outputTypes: [bigint, int, string, timestamp] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: timestamp), _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3] + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Limit Vectorization: + className: VectorLimitOperator + native: true + Offset of rows: 3 + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts s sum_window_0 +2013-03-01 09:11:58.70307 calvin laertes 197097 +2013-03-01 09:11:58.70307 calvin steinbeck 262874 +2013-03-01 09:11:58.70307 david falkner 328506 +2013-03-01 09:11:58.70307 fred nixon 394118 +2013-03-01 09:11:58.70307 fred zipper 459719 +2013-03-01 09:11:58.70307 gabriella van buren 525334 +2013-03-01 09:11:58.70307 gabriella xylophone 591058 +2013-03-01 09:11:58.70307 jessica laertes 656771 +2013-03-01 09:11:58.70307 jessica polk 722558 +2013-03-01 09:11:58.70307 katie king 788310 +PREHOOK: query: explain vectorization detail +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(sum_window_0, 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 4] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 3, decimalPlaces 3) -> 4:double + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65536 0.02 +NULL 65534 0.03 +NULL NULL 0.04 +alice allen 65758 23.59 +alice allen 65720 43.98 +PREHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: +- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round((avg_window_0 / 10.0), 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 5] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 4, decimalPlaces 3)(children: DoubleColDivideDoubleScalar(col 3, val 10.0) -> 4:double) -> 5:double + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65536 0.002 +NULL 65534 0.002 +NULL NULL 0.001 +alice allen 65758 2.359 +alice allen 65720 2.199 +PREHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: az + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(((avg_window_0 + 10.0) - (avg_window_0 - 10.0)), 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 4] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 6, decimalPlaces 3)(children: DoubleColSubtractDoubleColumn(col 4, col 5)(children: DoubleColAddDoubleScalar(col 3, val 10.0) -> 4:double, DoubleColSubtractDoubleScalar(col 3, val 10.0) -> 5:double) -> 6:double) -> 4:double + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65534 20.0 +NULL 65536 20.0 +NULL NULL 20.0 +alice allen 65545 20.0 +alice allen 65557 20.0 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_range_multiorder.q.out ql/src/test/results/clientpositive/llap/vector_windowing_range_multiorder.q.out new file mode 100644 index 0000000..56c2cf0 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_range_multiorder.q.out @@ -0,0 +1,12584 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), i (type: int), b (type: bigint) + sort order: +++ + Map-reduce partition columns: si (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [0] + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: t (type: tinyint) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 1, 2, 3] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:smallint, KEY.reducesinkkey1:int, KEY.reducesinkkey2:bigint, VALUE._col0:tinyint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: tinyint), KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 0, 1, 2] + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col1: smallint, _col2: int, _col3: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: first_value_window_0 + arguments: _col0 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongFirstValue] + functionInputExpressions: [col 3] + functionNames: [first_value] + keyInputColumns: [0, 1, 2] + native: true + nonKeyInputColumns: [3] + orderExpressions: [col 1, col 2] + outputColumns: [4, 3, 0, 1, 2] + outputTypes: [tinyint, tinyint, smallint, int, bigint] + partitionExpressions: [col 0] + streamingColumns: [4] + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: first_value_window_0 (type: tinyint) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [4] + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +first_value_window_0 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +PREHOOK: query: explain vectorization detail +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 6, 2, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1, 6] + valueColumns: [] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: last_value only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: last_value_window_0 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE CURRENT~CURRENT + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: last_value_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +last_value_window_0 +65543 +65549 +65558 +65580 +65586 +65596 +65616 +65620 +65627 +65640 +65643 +65706 +65713 +65737 +65744 +65752 +65778 +65540 +65563 +65599 +65604 +65613 +65613 +65615 +65651 +65653 +65668 +65693 +65731 +65733 +65738 +65741 +65744 +65747 +65763 +65778 +65789 +65541 +65547 +65560 +65572 +65574 +65575 +65578 +65588 +65594 +65610 +65691 +65694 +65711 +65719 +65722 +65738 +65756 +65790 +65542 +65557 +65566 +65584 +65610 +65612 +65626 +65631 +65638 +65654 +65654 +65655 +65699 +65712 +65720 +65732 +65748 +65752 +65771 +65771 +65771 +65781 +65565 +65569 +65573 +65582 +65584 +65606 +65656 +65669 +65717 +65724 +65728 +65761 +65762 +65770 +65771 +65781 +65546 +65551 +65551 +65568 +65568 +65579 +65603 +PREHOOK: query: explain vectorization detail +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 6, 2, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1, 6] + valueColumns: [] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: row_number only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: row_number_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +row_number_window_0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +19 +20 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +19 +20 +21 +22 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +1 +2 +3 +4 +5 +6 +7 +PREHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string) + sort order: + + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkStringOperator + keyColumns: [7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [1, 2] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), i (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, VALUE._col1:smallint, VALUE._col2:int + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1, 2] + orderExpressions: [col 0] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, smallint, int, string] + streamingColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i avg_window_0 +alice falkner 323 65669 65695.76470588235 +alice falkner 477 65722 65695.76470588235 +alice falkner 455 65718 65695.76470588235 +alice falkner 481 65709 65695.76470588235 +alice falkner 345 65773 65695.76470588235 +alice falkner 280 65597 65695.76470588235 +alice falkner 500 65775 65695.76470588235 +alice falkner 339 65785 65695.76470588235 +alice falkner 452 65596 65695.76470588235 +alice falkner 382 65690 65695.76470588235 +alice falkner 382 65622 65695.76470588235 +alice falkner 393 65611 65695.76470588235 +alice falkner 393 65685 65695.76470588235 +alice falkner 342 65752 65695.76470588235 +alice falkner 311 65715 65695.76470588235 +alice falkner 371 65710 65695.76470588235 +alice falkner 389 65699 65695.76470588235 +alice ichabod 366 65590 65654.95454545454 +alice ichabod 458 65550 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65676.27272727272 +zach xylophone 342 65692 65676.27272727272 +zach xylophone 500 65767 65676.27272727272 +zach xylophone 462 65755 65676.27272727272 +zach xylophone 361 65717 65676.27272727272 +zach xylophone 407 65768 65676.27272727272 +zach xylophone 354 65773 65676.27272727272 +zach xylophone 322 65608 65676.27272727272 +zach xylophone 451 65546 65676.27272727272 +zach xylophone 280 65589 65676.27272727272 +zach xylophone 281 65542 65676.27272727272 +zach xylophone 342 65615 65676.27272727272 +zach xylophone 395 65666 65676.27272727272 +zach xylophone 363 65675 65676.27272727272 +zach xylophone 406 65660 65676.27272727272 +zach xylophone 463 65543 65676.27272727272 +zach xylophone 411 65660 65676.27272727272 +zach xylophone 418 65768 65676.27272727272 +zach xylophone 322 65685 65676.27272727272 +PREHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: +++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:smallint, KEY.reducesinkkey2:int + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 2, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1, col 2] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, smallint, int, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: 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65682.77777777778 +alice garcia 446 65613 65675.8 +alice garcia 446 65759 65683.36363636363 +alice garcia 459 65712 65685.75 +alice garcia 486 65725 65688.76923076923 +alice hernandez 270 65717 65717.0 +alice hernandez 290 65685 65701.0 +alice hernandez 296 65569 65657.0 +alice hernandez 320 65700 65667.75 +alice hernandez 323 65727 65679.6 +PREHOOK: query: explain vectorization detail +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: +++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:smallint, KEY.reducesinkkey2:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: min_window_0 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongMin] + functionInputExpressions: [col 2] + functionNames: [min] + keyInputColumns: [1, 2, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1, col 2] + outputColumns: [3, 1, 2, 0] + outputTypes: [int, smallint, int, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), min_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i min_window_0 +alice allen 400 65557 65557 +alice allen 451 65662 65557 +alice allen 462 65545 65545 +alice allen 472 65609 65545 +alice allen 484 65600 65545 +alice allen 501 65670 65545 +alice allen 501 65720 65545 +alice allen 509 65758 65545 +alice brown 302 65711 65711 +alice brown 324 65569 65569 +alice brown 332 65781 65569 +alice brown 337 65707 65569 +alice brown 346 65696 65569 +alice brown 376 65708 65569 +alice brown 381 65704 65569 +alice brown 399 65779 65569 +alice brown 409 65667 65569 +alice brown 425 65570 65569 +alice brown 452 65666 65569 +alice brown 471 65733 65569 +alice brown 492 65673 65569 +alice brown 499 65790 65569 +alice carson 268 65713 65713 +alice carson 316 65559 65559 +alice carson 318 65695 65559 +alice carson 376 65576 65559 +alice carson 380 65785 65559 +alice carson 390 65747 65559 +alice carson 404 65710 65559 +alice carson 427 65559 65559 +alice carson 473 65565 65559 +alice carson 508 65545 65545 +alice davidson 270 65563 65563 +alice davidson 272 65742 65563 +alice davidson 287 65747 65563 +alice davidson 298 65554 65554 +alice davidson 308 65560 65554 +alice davidson 321 65677 65554 +alice davidson 328 65547 65547 +alice davidson 384 65676 65547 +alice davidson 402 65544 65544 +alice davidson 408 65707 65544 +alice davidson 408 65791 65544 +alice davidson 423 65740 65544 +alice davidson 431 65677 65544 +alice davidson 437 65690 65544 +alice davidson 445 65590 65544 +alice davidson 448 65641 65544 +alice davidson 479 65631 65544 +alice davidson 487 65596 65544 +alice ellison 256 65744 65744 +alice ellison 274 65537 65537 +alice ellison 296 65741 65537 +alice ellison 313 65612 65537 +alice ellison 320 65745 65537 +alice ellison 331 65557 65537 +alice ellison 335 65730 65537 +alice ellison 343 65787 65537 +alice ellison 354 65698 65537 +alice ellison 355 65699 65537 +alice ellison 374 65677 65537 +alice ellison 403 65544 65537 +alice ellison 405 65713 65537 +alice ellison 482 65681 65537 +alice ellison 490 65572 65537 +alice falkner 280 65597 65597 +alice falkner 311 65715 65597 +alice falkner 323 65669 65597 +alice falkner 339 65785 65597 +alice falkner 342 65752 65597 +alice falkner 345 65773 65597 +alice falkner 371 65710 65597 +alice falkner 382 65622 65597 +alice falkner 382 65690 65597 +alice falkner 389 65699 65597 +alice falkner 393 65611 65597 +alice falkner 393 65685 65597 +alice falkner 452 65596 65596 +alice falkner 455 65718 65596 +alice falkner 477 65722 65596 +alice falkner 481 65709 65596 +alice falkner 500 65775 65596 +alice garcia 263 65630 65630 +alice garcia 299 65623 65623 +alice garcia 309 65746 65623 +alice garcia 325 65573 65573 +alice garcia 331 65734 65573 +alice garcia 366 65744 65573 +alice garcia 379 65746 65573 +alice garcia 388 65675 65573 +alice garcia 427 65674 65573 +alice garcia 446 65613 65573 +alice garcia 446 65759 65573 +alice garcia 459 65712 65573 +alice garcia 486 65725 65573 +alice hernandez 270 65717 65717 +alice hernandez 290 65685 65685 +alice hernandez 296 65569 65569 +alice hernandez 320 65700 65569 +alice hernandez 323 65727 65569 +PREHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: ++- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 1, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaz + reduceColumnSortOrder: ++- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:smallint, KEY.reducesinkkey2:int + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 2, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1, col 2] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, smallint, int, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i avg_window_0 +alice allen 400 65557 65557.0 +alice allen 451 65662 65609.5 +alice allen 462 65545 65588.0 +alice allen 472 65609 65593.25 +alice allen 484 65600 65594.6 +alice allen 501 65720 65615.5 +alice allen 501 65670 65623.28571428571 +alice allen 509 65758 65640.125 +alice brown 302 65711 65711.0 +alice brown 324 65569 65640.0 +alice brown 332 65781 65687.0 +alice brown 337 65707 65692.0 +alice brown 346 65696 65692.8 +alice brown 376 65708 65695.33333333333 +alice brown 381 65704 65696.57142857143 +alice brown 399 65779 65706.875 +alice brown 409 65667 65702.44444444444 +alice brown 425 65570 65689.2 +alice brown 452 65666 65687.09090909091 +alice brown 471 65733 65690.91666666667 +alice brown 492 65673 65689.53846153847 +alice brown 499 65790 65696.71428571429 +alice carson 268 65713 65713.0 +alice carson 316 65559 65636.0 +alice carson 318 65695 65655.66666666667 +alice carson 376 65576 65635.75 +alice carson 380 65785 65665.6 +alice carson 390 65747 65679.16666666667 +alice carson 404 65710 65683.57142857143 +alice carson 427 65559 65668.0 +alice carson 473 65565 65656.55555555556 +alice carson 508 65545 65645.4 +alice davidson 270 65563 65563.0 +alice davidson 272 65742 65652.5 +alice davidson 287 65747 65684.0 +alice davidson 298 65554 65651.5 +alice davidson 308 65560 65633.2 +alice davidson 321 65677 65640.5 +alice davidson 328 65547 65627.14285714286 +alice davidson 384 65676 65633.25 +alice davidson 402 65544 65623.33333333333 +alice davidson 408 65791 65640.1 +alice davidson 408 65707 65646.18181818182 +alice davidson 423 65740 65654.0 +alice davidson 431 65677 65655.76923076923 +alice davidson 437 65690 65658.21428571429 +alice davidson 445 65590 65653.66666666667 +alice davidson 448 65641 65652.875 +alice davidson 479 65631 65651.58823529411 +alice davidson 487 65596 65648.5 +alice ellison 256 65744 65744.0 +alice ellison 274 65537 65640.5 +alice ellison 296 65741 65674.0 +alice ellison 313 65612 65658.5 +alice ellison 320 65745 65675.8 +alice ellison 331 65557 65656.0 +alice ellison 335 65730 65666.57142857143 +alice ellison 343 65787 65681.625 +alice ellison 354 65698 65683.44444444444 +alice ellison 355 65699 65685.0 +alice ellison 374 65677 65684.27272727272 +alice ellison 403 65544 65672.58333333333 +alice ellison 405 65713 65675.69230769231 +alice ellison 482 65681 65676.07142857143 +alice ellison 490 65572 65669.13333333333 +alice falkner 280 65597 65597.0 +alice falkner 311 65715 65656.0 +alice falkner 323 65669 65660.33333333333 +alice falkner 339 65785 65691.5 +alice falkner 342 65752 65703.6 +alice falkner 345 65773 65715.16666666667 +alice falkner 371 65710 65714.42857142857 +alice falkner 382 65690 65711.375 +alice falkner 382 65622 65701.44444444444 +alice falkner 389 65699 65701.2 +alice falkner 393 65685 65699.72727272728 +alice falkner 393 65611 65692.33333333333 +alice falkner 452 65596 65684.92307692308 +alice falkner 455 65718 65687.28571428571 +alice falkner 477 65722 65689.6 +alice falkner 481 65709 65690.8125 +alice falkner 500 65775 65695.76470588235 +alice garcia 263 65630 65630.0 +alice garcia 299 65623 65626.5 +alice garcia 309 65746 65666.33333333333 +alice garcia 325 65573 65643.0 +alice garcia 331 65734 65661.2 +alice garcia 366 65744 65675.0 +alice garcia 379 65746 65685.14285714286 +alice garcia 388 65675 65683.875 +alice garcia 427 65674 65682.77777777778 +alice garcia 446 65759 65690.4 +alice garcia 446 65613 65683.36363636363 +alice garcia 459 65712 65685.75 +alice garcia 486 65725 65688.76923076923 +alice hernandez 270 65717 65717.0 +alice hernandez 290 65685 65701.0 +alice hernandez 296 65569 65657.0 +alice hernandez 320 65700 65667.75 +alice hernandez 323 65727 65679.6 +PREHOOK: query: explain vectorization detail +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 6, 2, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1, 6] + valueColumns: [] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaaz + reduceColumnSortOrder: +++- + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + dataColumns: KEY.reducesinkkey0:smallint, KEY.reducesinkkey1:boolean, KEY.reducesinkkey2:int, KEY.reducesinkkey3:float + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2, 3, 1] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: max_window_0 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongMax] + functionInputExpressions: [col 2] + functionNames: [max] + keyInputColumns: [0, 2, 3, 1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 2, col 3] + outputColumns: [4, 0, 2, 3, 1] + outputTypes: [int, smallint, int, float, boolean] + partitionExpressions: [col 0, col 1] + streamingColumns: [] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: smallint), _col6 (type: boolean), _col2 (type: int), _col4 (type: float), max_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +si bo i f max_window_0 +256 false 65543 32.21 65543 +256 false 65549 23.72 65549 +256 false 65558 71.32 65558 +256 false 65580 64.81 65580 +256 false 65586 12.97 65586 +256 false 65596 5.35 65596 +256 false 65616 76.38 65616 +256 false 65620 51.72 65620 +256 false 65627 54.23 65627 +256 false 65640 32.64 65640 +256 false 65643 94.05 65643 +256 false 65706 83.67 65706 +256 false 65713 21.83 65713 +256 false 65737 3.38 65737 +256 false 65744 47.17 65744 +256 false 65752 61.21 65752 +256 false 65778 16.29 65778 +256 true 65540 49.44 65540 +256 true 65563 94.87 65563 +256 true 65599 89.55 65599 +256 true 65604 40.97 65604 +256 true 65613 93.29 65613 +256 true 65613 78.27 65613 +256 true 65615 20.66 65615 +256 true 65651 90.32 65651 +256 true 65653 8.1 65653 +256 true 65668 92.71 65668 +256 true 65693 62.52 65693 +256 true 65731 34.09 65731 +256 true 65733 70.53 65733 +256 true 65738 9.0 65738 +256 true 65741 54.8 65741 +256 true 65744 38.16 65744 +256 true 65747 32.18 65747 +256 true 65763 24.89 65763 +256 true 65778 74.15 65778 +256 true 65789 91.12 65789 +257 false 65541 51.26 65541 +257 false 65547 54.01 65547 +257 false 65560 42.14 65560 +257 false 65572 79.15 65572 +257 false 65574 19.96 65574 +257 false 65575 1.21 65575 +257 false 65578 61.6 65578 +257 false 65588 81.17 65588 +257 false 65594 78.39 65594 +257 false 65610 98.0 65610 +257 false 65691 80.76 65691 +257 false 65694 29.0 65694 +257 false 65711 60.88 65711 +257 false 65719 62.79 65719 +257 false 65722 79.05 65722 +257 false 65738 96.01 65738 +257 false 65756 24.44 65756 +257 false 65790 9.26 65790 +257 true 65542 62.59 65542 +257 true 65557 55.07 65557 +257 true 65566 68.54 65566 +257 true 65584 35.88 65584 +257 true 65610 47.58 65610 +257 true 65612 3.12 65612 +257 true 65626 23.18 65626 +257 true 65631 51.61 65631 +257 true 65638 95.35 65638 +257 true 65654 24.54 65654 +257 true 65654 9.8 65654 +257 true 65655 40.42 65655 +257 true 65699 15.36 65699 +257 true 65712 90.44 65712 +257 true 65720 24.4 65720 +257 true 65732 96.85 65732 +257 true 65748 32.52 65748 +257 true 65752 49.35 65752 +257 true 65771 95.58 65771 +257 true 65771 53.89 65771 +257 true 65771 48.5 65771 +257 true 65781 17.33 65781 +258 false 65565 98.19 65565 +258 false 65569 66.81 65569 +258 false 65573 31.45 65573 +258 false 65582 67.28 65582 +258 false 65584 64.92 65584 +258 false 65606 35.52 65606 +258 false 65656 79.17 65656 +258 false 65669 75.01 65669 +258 false 65717 95.76 65717 +258 false 65724 70.0 65724 +258 false 65728 9.05 65728 +258 false 65761 33.73 65761 +258 false 65762 15.22 65762 +258 false 65770 13.38 65770 +258 false 65771 52.63 65771 +258 false 65781 1.92 65781 +258 true 65546 91.19 65546 +258 true 65551 91.56 65551 +258 true 65551 88.97 65551 +258 true 65568 81.41 65568 +258 true 65568 13.57 65568 +258 true 65579 47.52 65579 +258 true 65603 2.61 65603 +PREHOOK: query: explain vectorization detail +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), bo (type: boolean), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 6, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [] + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: rank only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col2, _col3, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col3 ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col6, _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col6 (type: boolean), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +bo rank_window_0 +false 1 +false 2 +false 3 +false 4 +false 5 +false 6 +false 7 +false 8 +false 9 +false 10 +false 11 +false 11 +false 13 +false 14 +false 15 +false 16 +false 17 +false 18 +false 19 +false 20 +false 20 +false 22 +true 23 +true 24 +true 25 +true 26 +true 27 +true 28 +true 29 +true 30 +true 31 +true 32 +true 33 +true 34 +true 35 +true 36 +true 37 +true 37 +true 39 +true 40 +true 41 +true 42 +true 43 +true 44 +true 45 +false 1 +false 2 +false 3 +false 4 +false 5 +false 5 +false 5 +false 8 +false 9 +false 10 +false 11 +false 12 +false 13 +false 14 +false 15 +false 16 +false 17 +true 18 +true 19 +true 20 +true 21 +true 22 +true 23 +true 24 +true 25 +true 26 +true 27 +true 27 +true 29 +true 30 +true 31 +true 32 +true 33 +true 34 +true 35 +false 1 +false 2 +false 3 +false 4 +false 4 +false 6 +false 7 +false 8 +false 9 +false 10 +false 11 +false 12 +false 13 +false 14 +false 15 +false 16 +false 17 +false 18 +true 19 +true 20 +PREHOOK: query: explain vectorization detail +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), CAST( s AS CHAR(12) (type: char(12)) + sort order: ++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 11] + keyExpressions: CastStringGroupToChar(col 7, maxLength 12) -> 11:Char + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [7] + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: rank only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col6 (type: string) + outputColumnNames: _col2, _col7 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: CAST( _col7 AS CHAR(12) ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: CAST( _col7 AS CHAR(12) + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: CAST( _col7 AS CHAR(12) (type: char(12)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +_c0 rank_window_0 +alice ichabo 1 +alice robins 2 +bob robinson 3 +calvin thomp 4 +david johnso 5 +david laerte 6 +david nixon 7 +david nixon 7 +ethan johnso 9 +ethan ovid 10 +ethan underh 11 +fred miller 12 +fred miller 12 +gabriella ga 14 +gabriella un 15 +holly white 16 +irene johnso 17 +katie elliso 18 +luke allen 19 +mike quirini 20 +mike white 21 +nick davidso 22 +oscar allen 23 +oscar garcia 24 +oscar ichabo 25 +oscar ovid 26 +oscar steinb 27 +priscilla ga 28 +priscilla wh 29 +priscilla xy 30 +priscilla yo 31 +rachel brown 32 +rachel ichab 33 +rachel xylop 34 +sarah thomps 35 +sarah thomps 35 +tom johnson 37 +tom steinbec 38 +ulysses polk 39 +victor johns 40 +wendy polk 41 +xavier david 42 +yuri ellison 43 +zach allen 44 +zach hernand 45 +alice elliso 1 +bob carson 2 +calvin brown 3 +david xyloph 4 +ethan white 5 +fred johnson 6 +fred van bur 7 +gabriella ic 8 +holly laerte 9 +holly quirin 10 +jessica hern 11 +katie robins 12 +katie thomps 13 +luke nixon 14 +mike garcia 15 +mike hernand 16 +nick carson 17 +nick davidso 18 +oscar carson 19 +oscar robins 20 +priscilla wh 21 +sarah falkne 22 +sarah ichabo 23 +ulysses falk 24 +victor xylop 25 +wendy garcia 26 +wendy van bu 27 +xavier under 28 +yuri garcia 29 +yuri quirini 30 +yuri white 31 +zach falkner 32 +zach ichabod 33 +zach nixon 34 +zach ovid 35 +alice ichabo 1 +alice king 2 +alice robins 3 +calvin allen 4 +gabriella jo 5 +gabriella ni 6 +holly falkne 7 +holly hernan 8 +holly thomps 9 +katie nixon 10 +luke brown 11 +luke davidso 12 +luke white 13 +mike brown 14 +nick quirini 15 +oscar white 16 +priscilla xy 17 +quinn garcia 18 +quinn laerte 19 +rachel young 20 +PREHOOK: query: explain vectorization detail +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), CAST( s AS varchar(12)) (type: varchar(12)) + sort order: ++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 11] + keyExpressions: CastStringGroupToVarChar(col 7, maxLength 12) -> 11:VarChar + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [7] + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: rank only CURRENT ROW end frame is supported for RANGE + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col6 (type: string) + outputColumnNames: _col2, _col7 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: CAST( _col7 AS varchar(12)) ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: CAST( _col7 AS varchar(12)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: CAST( _col7 AS varchar(12)) (type: varchar(12)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +_c0 rank_window_0 +alice ichabo 1 +alice robins 2 +bob robinson 3 +calvin thomp 4 +david johnso 5 +david laerte 6 +david nixon 7 +david nixon 7 +ethan johnso 9 +ethan ovid 10 +ethan underh 11 +fred miller 12 +fred miller 12 +gabriella ga 14 +gabriella un 15 +holly white 16 +irene johnso 17 +katie elliso 18 +luke allen 19 +mike quirini 20 +mike white 21 +nick davidso 22 +oscar allen 23 +oscar garcia 24 +oscar ichabo 25 +oscar ovid 26 +oscar steinb 27 +priscilla ga 28 +priscilla wh 29 +priscilla xy 30 +priscilla yo 31 +rachel brown 32 +rachel ichab 33 +rachel xylop 34 +sarah thomps 35 +sarah thomps 35 +tom johnson 37 +tom steinbec 38 +ulysses polk 39 +victor johns 40 +wendy polk 41 +xavier david 42 +yuri ellison 43 +zach allen 44 +zach hernand 45 +alice elliso 1 +bob carson 2 +calvin brown 3 +david xyloph 4 +ethan white 5 +fred johnson 6 +fred van bur 7 +gabriella ic 8 +holly laerte 9 +holly quirin 10 +jessica hern 11 +katie robins 12 +katie thomps 13 +luke nixon 14 +mike garcia 15 +mike hernand 16 +nick carson 17 +nick davidso 18 +oscar carson 19 +oscar robins 20 +priscilla wh 21 +sarah falkne 22 +sarah ichabo 23 +ulysses falk 24 +victor xylop 25 +wendy garcia 26 +wendy van bu 27 +xavier under 28 +yuri garcia 29 +yuri quirini 30 +yuri white 31 +zach falkner 32 +zach ichabod 33 +zach nixon 34 +zach ovid 35 +alice ichabo 1 +alice king 2 +alice robins 3 +calvin allen 4 +gabriella jo 5 +gabriella ni 6 +holly falkne 7 +holly hernan 8 +holly thomps 9 +katie nixon 10 +luke brown 11 +luke davidso 12 +luke white 13 +mike brown 14 +nick quirini 15 +oscar white 16 +priscilla xy 17 +quinn garcia 18 +quinn laerte 19 +rachel young 20 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_rank.q.out ql/src/test/results/clientpositive/llap/vector_windowing_rank.q.out new file mode 100644 index 0000000..fec2366 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_rank.q.out @@ -0,0 +1,1860 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by f order by t) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by f order by t) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: f (type: float), t (type: tinyint) + sort order: ++ + Map-reduce partition columns: f (type: float) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [4, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [4] + valueColumns: [7] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:float, KEY.reducesinkkey1:tinyint, VALUE._col5:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey0 (type: float), VALUE._col5 (type: string) + outputColumnNames: _col0, _col4, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col0 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 0, 2] + outputTypes: [int, tinyint, float, string] + partitionExpressions: [col 0] + streamingColumns: [3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3] + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over (partition by f order by t) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over (partition by f order by t) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s rank_window_0 +bob ichabod 1 +yuri thompson 2 +luke steinbeck 1 +fred zipper 2 +luke king 3 +calvin van buren 1 +quinn miller 2 +holly steinbeck 1 +david davidson 1 +calvin quirinius 1 +calvin thompson 2 +david ovid 1 +nick zipper 2 +holly thompson 3 +victor steinbeck 1 +victor robinson 2 +zach ovid 1 +ulysses zipper 1 +irene thompson 1 +luke falkner 2 +yuri johnson 1 +ulysses falkner 1 +gabriella robinson 2 +alice robinson 1 +priscilla xylophone 2 +david laertes 1 +mike underhill 2 +victor van buren 1 +holly falkner 1 +priscilla falkner 1 +luke zipper 1 +ethan ovid 2 +alice quirinius 1 +calvin white 2 +mike steinbeck 3 +nick young 1 +wendy polk 2 +irene miller 3 +ethan ellison 1 +yuri davidson 2 +zach hernandez 1 +wendy miller 1 +katie underhill 1 +irene zipper 1 +holly allen 1 +quinn brown 2 +calvin ovid 1 +zach robinson 1 +nick miller 2 +mike allen 1 +priscilla young 1 +yuri van buren 2 +zach miller 3 +sarah falkner 1 +victor xylophone 2 +rachel ichabod 1 +calvin ovid 1 +alice robinson 2 +calvin ovid 1 +alice ovid 1 +david hernandez 2 +luke laertes 3 +luke quirinius 1 +oscar white 1 +zach falkner 1 +rachel thompson 1 +priscilla king 1 +xavier polk 1 +wendy ichabod 1 +rachel ovid 1 +wendy allen 1 +luke brown 1 +oscar ichabod 2 +mike brown 3 +xavier garcia 1 +bob xylophone 1 +yuri brown 2 +ethan quirinius 1 +luke davidson 2 +zach davidson 1 +irene miller 1 +wendy king 1 +bob zipper 1 +sarah thompson 1 +bob laertes 1 +xavier allen 2 +bob carson 3 +sarah robinson 1 +david king 1 +oscar davidson 1 +wendy polk 1 +victor hernandez 2 +david ellison 1 +ulysses johnson 1 +jessica ovid 1 +bob king 1 +ulysses garcia 1 +irene falkner 1 +holly robinson 1 +yuri white 1 +PREHOOK: query: explain vectorization detail +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), i (type: int), s (type: string) + sort order: ++- + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 2, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function dense_rank + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col7 DESC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: dense_rank_window_0 + arguments: _col2, _col7 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), dense_rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s dense_rank_window_0 +rachel thompson 1 +oscar brown 2 +wendy steinbeck 3 +victor van buren 4 +fred zipper 5 +priscilla zipper 6 +katie white 7 +fred nixon 8 +gabriella van buren 9 +luke zipper 10 +victor ellison 11 +david falkner 12 +nick carson 13 +calvin laertes 14 +yuri allen 15 +calvin brown 16 +tom johnson 17 +jessica laertes 18 +sarah falkner 19 +gabriella xylophone 20 +mike laertes 21 +bob ovid 22 +rachel garcia 23 +katie king 24 +calvin steinbeck 25 +jessica polk 26 +xavier davidson 1 +ethan ovid 2 +calvin white 3 +katie zipper 4 +quinn allen 5 +victor underhill 6 +ulysses xylophone 7 +priscilla zipper 8 +quinn ovid 9 +katie xylophone 10 +rachel ovid 11 +yuri brown 12 +oscar van buren 13 +alice miller 14 +luke thompson 15 +gabriella steinbeck 16 +priscilla brown 17 +gabriella underhill 18 +jessica robinson 19 +luke steinbeck 20 +nick ellison 21 +oscar davidson 22 +wendy johnson 23 +ulysses johnson 24 +jessica nixon 25 +fred king 26 +jessica brown 27 +ethan young 28 +xavier johnson 29 +gabriella johnson 30 +calvin nixon 31 +bob king 32 +calvin carson 33 +zach young 34 +yuri hernandez 35 +sarah van buren 36 +holly falkner 37 +jessica brown 38 +rachel ovid 39 +katie davidson 40 +bob falkner 41 +rachel young 42 +irene brown 43 +fred polk 44 +priscilla hernandez 45 +wendy thompson 46 +rachel robinson 47 +luke xylophone 48 +luke king 49 +holly thompson 50 +yuri garcia 1 +nick king 2 +calvin white 3 +rachel polk 4 +rachel davidson 5 +victor hernandez 6 +wendy miller 7 +wendy brown 8 +priscilla thompson 9 +holly nixon 10 +victor hernandez 11 +priscilla polk 12 +ethan nixon 13 +alice underhill 14 +jessica thompson 15 +tom hernandez 16 +sarah falkner 17 +wendy underhill 18 +rachel ichabod 19 +jessica johnson 20 +rachel ellison 21 +wendy falkner 22 +holly allen 23 +ulysses carson 24 +PREHOOK: query: explain vectorization detail +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: bo (type: boolean), b (type: bigint), s (type: string) + sort order: +++ + Map-reduce partition columns: bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [6, 3, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [6] + valueColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 6, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: cume_dist not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col3, _col6, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col6: boolean, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST, _col7 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: cume_dist_window_0 + arguments: _col3, _col7 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), cume_dist_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s cume_dist_window_0 +calvin allen 2.0112630732099757E-4 +david ovid 4.0225261464199515E-4 +david zipper 6.033789219629927E-4 +ethan ellison 8.045052292839903E-4 +holly allen 0.001005631536604988 +irene garcia 0.0012067578439259854 +irene van buren 0.0014078841512469831 +jessica steinbeck 0.0016090104585679806 +katie xylophone 0.0018101367658889783 +mike xylophone 0.002011263073209976 +nick quirinius 0.0022123893805309734 +nick steinbeck 0.002413515687851971 +quinn steinbeck 0.002614641995172969 +rachel thompson 0.0028157683024939663 +sarah miller 0.0030168946098149637 +tom hernandez 0.003218020917135961 +ulysses ichabod 0.003419147224456959 +ulysses nixon 0.0036202735317779565 +ulysses xylophone 0.003821399839098954 +victor garcia 0.004022526146419952 +victor xylophone 0.004223652453740949 +wendy falkner 0.004424778761061947 +yuri nixon 0.004625905068382945 +bob johnson 0.004827031375703942 +bob king 0.00502815768302494 +calvin van buren 0.005229283990345938 +gabriella robinson 0.005430410297666935 +katie xylophone 0.0056315366049879325 +mike steinbeck 0.00583266291230893 +oscar quirinius 0.006033789219629927 +rachel davidson 0.006234915526950925 +sarah van buren 0.006436041834271922 +tom king 0.00663716814159292 +ulysses allen 0.006838294448913918 +wendy ellison 0.007039420756234915 +zach allen 0.007240547063555913 +zach young 0.007441673370876911 +alice falkner 0.007642799678197908 +bob ovid 0.007843925985518906 +bob underhill 0.008045052292839904 +ethan ovid 0.008246178600160902 +gabriella davidson 0.008447304907481898 +gabriella garcia 0.008648431214802896 +irene nixon 0.008849557522123894 +jessica brown 0.009050683829444892 +jessica miller 0.00925181013676589 +jessica quirinius 0.009452936444086887 +luke falkner 0.009654062751407884 +luke robinson 0.009855189058728881 +mike steinbeck 0.01005631536604988 +mike van buren 0.010257441673370877 +priscilla hernandez 0.010458567980691875 +tom polk 0.010659694288012871 +ulysses king 0.01086082059533387 +ulysses robinson 0.011061946902654867 +xavier davidson 0.011263073209975865 +alice hernandez 0.011464199517296863 +bob underhill 0.01166532582461786 +calvin nixon 0.011866452131938857 +david davidson 0.012067578439259855 +holly falkner 0.012268704746580853 +irene laertes 0.01246983105390185 +jessica robinson 0.012670957361222849 +mike falkner 0.012872083668543845 +nick falkner 0.013073209975864843 +oscar laertes 0.01327433628318584 +oscar miller 0.013475462590506838 +oscar thompson 0.013676588897827836 +priscilla nixon 0.013877715205148834 +priscilla xylophone 0.01407884151246983 +quinn miller 0.014279967819790828 +victor robinson 0.014481094127111826 +wendy allen 0.014682220434432824 +wendy nixon 0.014883346741753822 +yuri ellison 0.015084473049074818 +calvin nixon 0.015285599356395816 +fred carson 0.015486725663716814 +holly davidson 0.015687851971037812 +irene king 0.01588897827835881 +jessica davidson 0.016090104585679808 +katie polk 0.016492357200321803 +katie polk 0.016492357200321803 +luke johnson 0.0166934835076428 +nick allen 0.016894609814963796 +nick ellison 0.017095736122284794 +oscar king 0.01729686242960579 +priscilla laertes 0.01749798873692679 +priscilla underhill 0.017699115044247787 +priscilla young 0.017900241351568785 +victor steinbeck 0.018101367658889783 +wendy miller 0.01830249396621078 +calvin carson 0.01850362027353178 +ethan hernandez 0.018704746580852777 +ethan laertes 0.01910699919549477 +ethan laertes 0.01910699919549477 +ethan white 0.019308125502815767 +fred ellison 0.019509251810136765 +gabriella hernandez 0.019710378117457763 +gabriella ovid 0.01991150442477876 +gabriella steinbeck 0.02011263073209976 +PREHOOK: query: explain vectorization detail +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: dec (type: decimal(4,2)), f (type: float) + sort order: ++ + Map-reduce partition columns: dec (type: decimal(4,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [9, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [9] + valueColumns: [7] + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: percent_rank not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: decimal(4,2)) + outputColumnNames: _col4, _col7, _col9 + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col9 + raw input shape: + window functions: + window function definition + alias: percent_rank_window_0 + arguments: _col4 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), percent_rank_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 21600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 21600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s percent_rank_window_0 +wendy king 0.0 +calvin robinson 1.0 +mike steinbeck 0.0 +calvin hernandez 0.0 +sarah king 1.0 +yuri ellison 0.0 +victor king 0.0 +alice ovid 0.0 +ethan steinbeck 0.5 +mike steinbeck 1.0 +gabriella young 0.0 +jessica johnson 0.0 +holly king 0.5 +tom young 1.0 +victor falkner 0.0 +ethan polk 0.0 +oscar miller 0.0 +ethan quirinius 0.0 +fred hernandez 0.0 +david steinbeck 1.0 +wendy xylophone 0.0 +luke laertes 0.0 +alice quirinius 1.0 +calvin ovid 0.0 +holly allen 0.0 +tom brown 1.0 +wendy ovid 0.0 +mike brown 0.0 +alice polk 0.0 +alice zipper 0.0 +sarah quirinius 1.0 +luke underhill 0.0 +victor white 0.5 +holly xylophone 1.0 +oscar quirinius 0.0 +ethan davidson 0.0 +ethan allen 0.0 +wendy underhill 0.5 +irene xylophone 1.0 +ulysses steinbeck 0.0 +mike hernandez 1.0 +irene brown 0.0 +priscilla brown 0.0 +calvin johnson 1.0 +sarah xylophone 0.0 +yuri underhill 0.5 +ethan nixon 1.0 +calvin hernandez 0.0 +yuri underhill 0.0 +holly allen 1.0 +victor laertes 0.0 +ethan underhill 0.0 +irene steinbeck 1.0 +mike van buren 0.0 +xavier allen 0.5 +sarah xylophone 1.0 +luke van buren 0.0 +gabriella xylophone 0.0 +gabriella ellison 0.0 +luke falkner 0.0 +priscilla garcia 0.0 +ethan quirinius 0.3333333333333333 +alice xylophone 0.6666666666666666 +ethan underhill 1.0 +tom white 0.0 +alice johnson 0.0 +priscilla zipper 0.0 +tom laertes 0.5 +zach laertes 1.0 +xavier miller 0.0 +yuri ovid 0.0 +david steinbeck 0.0 +wendy underhill 0.0 +priscilla xylophone 0.0 +nick hernandez 0.0 +luke steinbeck 0.0 +oscar davidson 0.0 +sarah allen 0.0 +katie steinbeck 0.0 +oscar ovid 1.0 +yuri ellison 0.0 +rachel quirinius 0.0 +irene van buren 0.0 +victor ichabod 0.0 +quinn miller 0.0 +luke allen 0.0 +xavier laertes 0.0 +wendy miller 0.0 +victor brown 0.0 +tom thompson 0.0 +david brown 1.0 +zach quirinius 0.0 +oscar king 1.0 +david nixon 0.0 +ethan white 0.0 +ethan polk 0.0 +ulysses steinbeck 0.0 +victor van buren 0.3333333333333333 +sarah carson 0.6666666666666666 +priscilla nixon 1.0 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 3) -> boolean + predicate: b is not null (type: boolean) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 8, 9] + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [8, 9] + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 8, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Map 4 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 3) -> boolean + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: timestamp) + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:decimal(4,2) + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: timestamp, _col2: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col2 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 0, 1] + outputTypes: [int, timestamp, decimal(4,2)] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColEqualLongScalar(col 2, val 1) -> boolean + predicate: (rank_window_0 = 1) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)), 1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3] + selectExpressions: ConstantVectorExpression(val 1) -> 3:long + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 3) -> boolean + predicate: b is not null (type: boolean) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 8, 9] + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [8, 9] + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 8, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Map 4 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 3) -> boolean + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: timestamp) + sort order: + + Map-reduce partition columns: _col1 (type: timestamp) + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(4,2)) + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: a + reduceColumnSortOrder: + + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:timestamp, VALUE._col1:decimal(4,2) + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, decimal(4,2) + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), VALUE._col1 (type: decimal(4,2)) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: timestamp, _col2: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 0] + functionNames: [rank] + keyInputColumns: [0] + native: true + nonKeyInputColumns: [1] + orderExpressions: [col 0] + outputColumns: [2, 0, 1] + outputTypes: [int, timestamp, decimal(4,2)] + streamingColumns: [2] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterDecimalColEqualDecimalScalar(col 1, val 89.5) -> boolean + predicate: (_col2 = 89.5) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: timestamp), 89.5 (type: decimal(4,2)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 3, 2] + selectExpressions: ConstantVectorExpression(val 89.5) -> 3:decimal(4,2) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (SIMPLE_EDGE) + Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6204 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprAndExpr(children: FilterLongColLessLongScalar(col 0, val 10) -> boolean, SelectColumnIsNotNull(col 3) -> boolean) -> boolean + predicate: ((t < 10) and b is not null) (type: boolean) + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col1, _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3, 8, 9] + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: bigint) + sort order: + + Map-reduce partition columns: _col1 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [8, 9] + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 3, 8, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Map 4 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: SelectColumnIsNotNull(col 3) -> boolean + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [3] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkLongOperator + keyColumns: [3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumns: [] + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Merge Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col2, _col3 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: _col2 (type: timestamp) + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Reducer 3 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:decimal(4,2) + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col2, _col3 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: timestamp, _col3: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 0, 1] + outputTypes: [int, timestamp, decimal(4,2)] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColEqualLongScalar(col 2, val 1) -> boolean + predicate: (rank_window_0 = 1) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)), 1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3] + selectExpressions: ConstantVectorExpression(val 1) -> 3:long + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_streaming.q.out ql/src/test/results/clientpositive/llap/vector_windowing_streaming.q.out new file mode 100644 index 0000000..c678130 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_streaming.q.out @@ -0,0 +1,1036 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5694 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 1] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [] + Statistics: Num rows: 26 Data size: 5694 Basic stats: COMPLETE Column stats: COMPLETE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0] + Statistics: Num rows: 26 Data size: 12662 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 1, 0] + outputTypes: [int, string, string] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 26 Data size: 12662 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2] + Statistics: Num rows: 26 Data size: 2652 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 26 Data size: 2652 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 5694 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: No PTF TopN IS false + Statistics: Num rows: 26 Data size: 5694 Basic stats: COMPLETE Column stats: COMPLETE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0] + Statistics: Num rows: 26 Data size: 12662 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 1, 0] + outputTypes: [int, string, string] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 26 Data size: 12662 Basic stats: COMPLETE Column stats: COMPLETE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColLessLongScalar(col 2, val 4) -> boolean + predicate: (rank_window_0 < 4) (type: boolean) + Statistics: Num rows: 8 Data size: 3896 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col2 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2] + Statistics: Num rows: 8 Data size: 816 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 8 Data size: 816 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +a.p_mfgr a.r +Manufacturer#1 1 +Manufacturer#1 1 +Manufacturer#1 3 +Manufacturer#2 1 +Manufacturer#2 2 +Manufacturer#2 3 +Manufacturer#3 1 +Manufacturer#3 2 +Manufacturer#3 3 +Manufacturer#4 1 +Manufacturer#4 2 +Manufacturer#4 3 +Manufacturer#5 1 +Manufacturer#5 2 +Manufacturer#5 3 +PREHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 2 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +a.p_mfgr a.r +Manufacturer#1 1 +Manufacturer#1 1 +Manufacturer#2 1 +Manufacturer#3 1 +Manufacturer#4 1 +Manufacturer#5 1 +PREHOOK: query: explain vectorization detail +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColLessLongScalar(col 0, val 5) -> boolean + predicate: (t < 5) (type: boolean) + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: t (type: tinyint), f (type: float) + sort order: ++ + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: No PTF TopN IS false + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 4] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:tinyint, KEY.reducesinkkey1:float + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: float) + outputColumnNames: _col0, _col4 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col4: float + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col4 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 0, 1] + outputTypes: [int, tinyint, float] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColLessLongScalar(col 2, val 6) -> boolean + predicate: (rank_window_0 < 6) (type: boolean) + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col4 (type: float), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +a.t a.f a.r +-3 0.56 1 +-3 0.83 2 +-3 2.26 3 +-3 2.48 4 +-3 3.82 5 +-2 1.55 1 +-2 1.65 2 +-2 1.79 3 +-2 4.06 4 +-2 4.4 5 +-1 0.79 1 +-1 0.95 2 +-1 1.27 3 +-1 1.49 4 +-1 2.8 5 +0 0.08 1 +0 0.94 2 +0 1.44 3 +0 2.0 4 +0 2.12 5 +1 0.13 1 +1 0.44 2 +1 1.04 3 +1 3.41 4 +1 3.45 5 +2 2.21 1 +2 3.1 2 +2 9.93 3 +2 11.43 4 +2 15.45 5 +3 0.12 1 +3 0.19 2 +3 7.14 3 +3 7.97 4 +3 8.95 5 +4 2.26 1 +4 5.51 2 +4 5.53 3 +4 5.76 4 +4 7.26 5 +PREHOOK: query: select * +from (select t, f, row_number() over(partition by t order by f) r from over10k) a +where r < 8 and t < 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select * +from (select t, f, row_number() over(partition by t order by f) r from over10k) a +where r < 8 and t < 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +a.t a.f a.r +-3 0.56 1 +-3 0.83 2 +-3 2.26 3 +-3 2.48 4 +-3 3.82 5 +-3 6.8 6 +-3 6.83 7 +-2 1.55 1 +-2 1.65 2 +-2 1.79 3 +-2 4.06 4 +-2 4.4 5 +-2 5.43 6 +-2 5.59 7 +-1 0.79 1 +-1 0.95 2 +-1 1.27 3 +-1 1.49 4 +-1 2.8 5 +-1 4.08 6 +-1 4.31 7 +PREHOOK: query: explain vectorization detail +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 12288 Data size: 110096 Basic stats: COMPLETE Column stats: COMPLETE + Reduce Output Operator + key expressions: ctinyint (type: tinyint), cdouble (type: double) + sort order: ++ + Map-reduce partition columns: ctinyint (type: tinyint) + Statistics: Num rows: 12288 Data size: 110096 Basic stats: COMPLETE Column stats: COMPLETE + TopN Hash Memory Usage: 0.8 + Execution mode: llap + LLAP IO: all inputs + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col5 + Statistics: Num rows: 12288 Data size: 3403280 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 12288 Data size: 3403280 Basic stats: COMPLETE Column stats: COMPLETE + Filter Operator + predicate: (rank_window_0 < 5) (type: boolean) + Statistics: Num rows: 4096 Data size: 1134436 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: tinyint), _col5 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4096 Data size: 53092 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + Statistics: Num rows: 4096 Data size: 53092 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: drop table if exists sB +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists sB +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table sB ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: database:default +PREHOOK: Output: default@sB +POSTHOOK: query: create table sB ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: database:default +POSTHOOK: Output: default@sB +POSTHOOK: Lineage: sb.cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: sb.ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +POSTHOOK: Lineage: sb.r SCRIPT [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +a.ctinyint a.cdouble a.r +PREHOOK: query: select * from sB +where ctinyint is null +PREHOOK: type: QUERY +PREHOOK: Input: default@sb +#### A masked pattern was here #### +POSTHOOK: query: select * from sB +where ctinyint is null +POSTHOOK: type: QUERY +POSTHOOK: Input: default@sb +#### A masked pattern was here #### +sb.ctinyint sb.cdouble sb.r +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +PREHOOK: query: drop table if exists sD +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists sD +POSTHOOK: type: DROPTABLE +PREHOOK: query: explain vectorization detail +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: query: explain vectorization detail +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-4 depends on stages: Stage-2, Stage-0 + Stage-3 depends on stages: Stage-4 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 12288 Data size: 110096 Basic stats: COMPLETE Column stats: COMPLETE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] + Reduce Output Operator + key expressions: ctinyint (type: tinyint), cdouble (type: double) + sort order: ++ + Map-reduce partition columns: ctinyint (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: No PTF TopN IS false + Statistics: Num rows: 12288 Data size: 110096 Basic stats: COMPLETE Column stats: COMPLETE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 12 + includeColumns: [0, 5] + dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, cboolean2:boolean + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:tinyint, KEY.reducesinkkey1:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 12288 Data size: 3403280 Basic stats: COMPLETE Column stats: COMPLETE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank] + functionInputExpressions: [col 1] + functionNames: [rank] + keyInputColumns: [0, 1] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 0, 1] + outputTypes: [int, tinyint, double] + partitionExpressions: [col 0] + streamingColumns: [2] + Statistics: Num rows: 12288 Data size: 3403280 Basic stats: COMPLETE Column stats: COMPLETE + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColLessLongScalar(col 2, val 5) -> boolean + predicate: (rank_window_0 < 5) (type: boolean) + Statistics: Num rows: 4096 Data size: 1134436 Basic stats: COMPLETE Column stats: COMPLETE + Select Operator + expressions: _col0 (type: tinyint), _col5 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 2] + Statistics: Num rows: 4096 Data size: 53092 Basic stats: COMPLETE Column stats: COMPLETE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 4096 Data size: 53092 Basic stats: COMPLETE Column stats: COMPLETE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.sD + + Stage: Stage-2 + Dependency Collection + + Stage: Stage-4 + Create Table Operator: + Create Table + columns: ctinyint tinyint, cdouble double, r int + field delimiter: , + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.IgnoreKeyTextOutputFormat + serde name: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.sD + + Stage: Stage-3 + Stats-Aggr Operator + + Stage: Stage-0 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + +PREHOOK: query: create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: database:default +PREHOOK: Output: default@sD +POSTHOOK: query: create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: database:default +POSTHOOK: Output: default@sD +POSTHOOK: Lineage: sd.cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: sd.ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +POSTHOOK: Lineage: sd.r SCRIPT [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +a.ctinyint a.cdouble a.r +PREHOOK: query: select * from sD +where ctinyint is null +PREHOOK: type: QUERY +PREHOOK: Input: default@sd +#### A masked pattern was here #### +POSTHOOK: query: select * from sD +where ctinyint is null +POSTHOOK: type: QUERY +POSTHOOK: Input: default@sd +#### A masked pattern was here #### +sd.ctinyint sd.cdouble sd.r +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_windowspec.q.out ql/src/test/results/clientpositive/llap/vector_windowing_windowspec.q.out new file mode 100644 index 0000000..9521468 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_windowspec.q.out @@ -0,0 +1,2374 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), s (type: string), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [2, 7, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [2] + valueColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col2, _col3, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +alice ichabod 4294967441 +alice robinson 8589934917 +bob robinson 12884902266 +calvin thompson 17179869602 +david johnson 21474837092 +david laertes 25769804523 +david nixon 30064771904 +david nixon 34359739395 +ethan johnson 38654706752 +ethan ovid 42949674180 +ethan underhill 47244641690 +fred miller 51539609102 +fred miller 55834576592 +gabriella garcia 60129544023 +gabriella underhill 64424511330 +holly white 68719478650 +irene johnson 73014446110 +katie ellison 77309413485 +luke allen 81604380948 +mike quirinius 85899348426 +mike white 90194315855 +nick davidson 94489283385 +oscar allen 98784250693 +oscar garcia 103079218190 +oscar ichabod 107374185594 +oscar ovid 111669153102 +oscar steinbeck 115964120553 +priscilla garcia 120259087901 +priscilla white 124554055390 +priscilla xylophone 128849022850 +priscilla young 133143990191 +rachel brown 137438957640 +rachel ichabod 141733924974 +rachel xylophone 146028892291 +sarah thompson 150323859590 +sarah thompson 154618826928 +tom johnson 158913794359 +tom steinbeck 163208761724 +ulysses polk 167503729208 +victor johnson 171798696592 +wendy polk 176093663918 +xavier davidson 180388631312 +yuri ellison 184683598825 +zach allen 188978566334 +zach hernandez 193273533646 +alice ellison 4294967446 +bob carson 8589934892 +calvin brown 12884902329 +david xylophone 17179869748 +ethan white 21474837241 +fred johnson 25769804704 +fred van buren 30064772167 +gabriella ichabod 34359739606 +holly laertes 38654707054 +holly quirinius 42949674584 +jessica hernandez 47244642120 +katie robinson 51539609539 +katie thompson 55834576895 +luke nixon 60129544345 +mike garcia 64424511764 +mike hernandez 68719479285 +nick carson 73014446621 +nick davidson 77309414083 +oscar carson 81604381543 +oscar robinson 85899348869 +priscilla white 90194316274 +sarah falkner 94489283722 +sarah ichabod 98784251271 +ulysses falkner 103079218819 +victor xylophone 107374186359 +wendy garcia 111669153733 +wendy van buren 115964121147 +xavier underhill 120259088561 +yuri garcia 124554056001 +yuri quirinius 128849023443 +yuri white 133143990852 +zach falkner 137438958357 +zach ichabod 141733925776 +zach nixon 146028893205 +zach ovid 150323860576 +alice ichabod 4294967451 +alice king 8589934958 +alice robinson 12884902278 +calvin allen 17179869612 +gabriella johnson 21474837108 +gabriella nixon 25769804436 +holly falkner 30064771905 +holly hernandez 34359739256 +holly thompson 38654706595 +katie nixon 42949674112 +luke brown 47244641636 +luke davidson 51539608978 +luke white 55834576299 +mike brown 60129543641 +nick quirinius 64424511126 +oscar white 68719478551 +priscilla xylophone 73014446004 +quinn garcia 77309413317 +quinn laertes 81604380656 +rachel young 85899348171 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: d (type: double), s (type: string), f (type: float) + sort order: +++ + Map-reduce partition columns: d (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [5, 7, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [5] + valueColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col4, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +calvin miller 8.390000343322754 +holly polk 5.289999961853027 +wendy quirinius 30.789999961853027 +yuri laertes 68.38000011444092 +nick steinbeck 79.23999786376953 +katie brown 60.0 +priscilla quirinius 137.83999633789062 +tom young 186.33999633789062 +gabriella quirinius 14.359999656677246 +katie falkner 65.92999935150146 +xavier robinson 153.84000301361084 +ethan carson 40.90999984741211 +victor johnson 100.0 +jessica king 92.70999908447266 +jessica white 124.16999816894531 +zach white 170.71999740600586 +holly falkner 97.3499984741211 +quinn falkner 196.23999786376953 +victor davidson 255.95999908447266 +holly young 19.110000610351562 +nick robinson 13.329999923706055 +xavier steinbeck 48.53999900817871 +irene king 30.469999313354492 +quinn zipper 90.04000091552734 +priscilla miller 15.359999656677246 +wendy zipper 92.8000020980835 +yuri miller 153.5600004196167 +zach steinbeck 9.069999694824219 +fred nixon 50.08000183105469 +katie brown 13.300000190734863 +nick davidson 87.05000305175781 +gabriella davidson 3.940000057220459 +zach carson 70.88999700546265 +holly hernandez 48.52000045776367 +jessica quirinius 90.18000030517578 +tom xylophone 166.11000061035156 +wendy king 184.76000022888184 +gabriella brown 84.83000183105469 +quinn johnson 134.9800033569336 +yuri zipper 205.75 +david robinson 64.79000091552734 +mike nixon 153.7300033569336 +gabriella white 1.4199999570846558 +rachel davidson 98.12999904155731 +yuri garcia 9.880000114440918 +yuri zipper 104.01999950408936 +alice king 85.72000122070312 +jessica steinbeck 111.41000175476074 +katie hernandez 178.9699993133545 +katie ovid 40.0 +priscilla young 101.72999954223633 +quinn davidson 196.8400001525879 +quinn van buren 279.6400032043457 +victor steinbeck 309.6400032043457 +gabriella brown 80.6500015258789 +jessica ichabod 96.54000091552734 +zach laertes 104.50000095367432 +ethan miller 49.61000061035156 +irene carson 110.68000030517578 +irene falkner 131.42000007629395 +priscilla zipper 201.39000129699707 +tom robinson 290.75000190734863 +katie polk 38.689998626708984 +nick white 96.93999862670898 +sarah davidson 99.59999871253967 +xavier laertes 161.30999779701233 +alice ichabod 32.689998626708984 +nick polk 130.97999954223633 +gabriella robinson 90.0999984741211 +luke brown 90.71999847888947 +wendy allen 116.34999763965607 +calvin ichabod 29.059999465942383 +holly steinbeck 98.4799976348877 +gabriella carson 38.09000015258789 +holly van buren 106.89999771118164 +tom nixon 191.92999649047852 +katie laertes 75.75 +mike brown 163.97000122070312 +oscar nixon 24.020000457763672 +zach garcia 101.61999893188477 +tom polk 76.98999786376953 +mike allen 96.44999694824219 +alice johnson 1.090000033378601 +holly robinson 26.209999084472656 +priscilla thompson 111.12999725341797 +yuri young 168.73999786376953 +rachel carson 80.98999786376953 +gabriella laertes 39.81999969482422 +victor brown 78.97999954223633 +bob carson 24.149999618530273 +holly allen 68.71999931335449 +fred nixon 38.04999923706055 +rachel carson 119.60000228881836 +alice nixon 49.130001068115234 +priscilla brown 123.57999801635742 +victor falkner 42.4900016784668 +david garcia 67.27999877929688 +holly hernandez 116.36999893188477 +tom white 154.0 +rachel ellison 10.600000381469727 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [7] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +gabriella xylophone 1276.850001335144 +calvin brown 1273.68000125885 +jessica laertes 1262.7900009155273 +yuri allen 1248.2500009536743 +tom johnson 1233.4700012207031 +bob ovid 1215.6200008392334 +fred nixon 1195.0100002288818 +oscar brown 1166.3199996948242 +calvin laertes 1137.1000003814697 +david falkner 1105.9300003051758 +calvin steinbeck 1067.5800018310547 +katie white 1028.9700012207031 +sarah falkner 989.4900016784668 +mike laertes 948.9500007629395 +victor ellison 907.3500022888184 +luke zipper 861.2700004577637 +rachel garcia 806.9099998474121 +wendy steinbeck 749.9700012207031 +priscilla zipper 685.0100021362305 +rachel thompson 611.4900054931641 +victor van buren 532.9100036621094 +fred zipper 451.5 +gabriella van buren 366.79000091552734 +nick carson 279.36000061035156 +katie king 188.0 +jessica polk 95.04000091552734 +oscar davidson 2368.430002987385 +xavier johnson 2367.600003004074 +rachel ovid 2365.6100029945374 +xavier davidson 2361.880002975464 +nick ellison 2353.0200033187866 +jessica robinson 2342.4000034332275 +bob king 2331.0800037384033 +ulysses xylophone 2318.2500038146973 +wendy thompson 2303.550004005432 +yuri brown 2288.590003967285 +ethan ovid 2271.010004043579 +rachel robinson 2251.9100036621094 +holly falkner 2230.9000034332275 +calvin nixon 2203.950002670288 +luke thompson 2176.7200031280518 +gabriella johnson 2147.6500034332275 +jessica brown 2117.940004348755 +quinn allen 2086.100004196167 +irene brown 2054.1600036621094 +katie zipper 2018.8400039672852 +gabriella steinbeck 1981.520004272461 +priscilla brown 1943.020004272461 +zach young 1900.9400024414062 +alice miller 1856.6400032043457 +priscilla zipper 1811.9800033569336 +rachel young 1765.1400032043457 +holly thompson 1716.2500038146973 +calvin white 1666.6100044250488 +priscilla hernandez 1616.330005645752 +fred polk 1564.240005493164 +sarah van buren 1510.9800071716309 +rachel ovid 1456.890007019043 +luke xylophone 1400.4400062561035 +yuri hernandez 1343.6800079345703 +oscar van buren 1282.2700080871582 +quinn ovid 1220.390007019043 +victor underhill 1157.360008239746 +luke king 1092.8100051879883 +calvin carson 1024.1900024414062 +jessica brown 948.0600051879883 +jessica nixon 869.0100021362305 +katie davidson 788.5800018310547 +fred king 707.1699981689453 +wendy johnson 624.3199996948242 +ulysses johnson 540.3399963378906 +katie xylophone 456.12999725341797 +ethan young 370.57999420166016 +gabriella underhill 282.6499938964844 +luke steinbeck 193.7199935913086 +bob falkner 99.44999694824219 +holly allen 1607.950005441904 +rachel ichabod 1607.590005427599 +bob carson 1607.1100054383278 +wendy miller 1606.3200054168701 +nick king 1605.0500054359436 +rachel ellison 1600.5700054168701 +yuri garcia 1591.5700054168701 +victor hernandez 1568.3000049591064 +wendy underhill 1543.1700057983398 +alice underhill 1517.830005645752 +rachel polk 1491.9200057983398 +holly nixon 1462.910005569458 +ethan nixon 1432.4400062561035 +sarah falkner 1394.490005493164 +tom hernandez 1355.1900062561035 +rachel ichabod 1309.2800064086914 +priscilla thompson 1256.8400077819824 +jessica thompson 1202.7400093078613 +ulysses carson 1146.0400085449219 +wendy falkner 1087.2700080871582 +calvin white 1025.1800079345703 +jessica ovid 956.9800109863281 +jessica johnson 885.3000106811523 +priscilla garcia 805.8400115966797 +PREHOOK: query: explain vectorization detail +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string), f (type: float) + sort order: +++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 7, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: avg only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col4 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS CURRENT~FOLLOWING(5) + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s avg_window_0 +bob ovid 28.053333441416424 +calvin brown 38.73666652043661 +calvin laertes 51.493333180745445 +calvin steinbeck 46.826666514078774 +david falkner 42.81499973932902 +fred nixon 52.26333347956339 +fred zipper 62.97499990463257 +gabriella van buren 55.43666664759318 +gabriella xylophone 49.925000031789146 +jessica laertes 56.32999976476034 +jessica polk 69.13333320617676 +katie king 58.16333293914795 +katie white 54.92333253224691 +luke zipper 57.83333237965902 +mike laertes 61.86999924977621 +nick carson 61.69333299001058 +oscar brown 49.44166628519694 +priscilla zipper 52.25166670481364 +rachel garcia 53.56666787465414 +rachel thompson 54.903334617614746 +sarah falkner 44.27000093460083 +tom johnson 45.01600093841553 +victor ellison 51.80750107765198 +victor van buren 53.71666749318441 +wendy steinbeck 39.869999408721924 +yuri allen 14.779999732971191 +alice miller 51.76333204905192 +bob falkner 47.50333213806152 +bob king 45.58333269755045 +calvin carson 57.253332455952965 +calvin nixon 53.441665967305504 +calvin white 53.85499922434489 +ethan ovid 51.891666094462074 +ethan young 63.52999941507975 +fred king 53.36666615804037 +fred polk 47.83166631062826 +gabriella johnson 44.84166653951009 +gabriella steinbeck 45.1966667175293 +gabriella underhill 51.95500055948893 +holly falkner 50.538333892822266 +holly thompson 47.93333371480306 +irene brown 53.22833442687988 +jessica brown 61.600001653035484 +jessica brown 62.51333491007487 +jessica nixon 60.775001525878906 +jessica robinson 63.08166758219401 +katie davidson 66.04000091552734 +katie xylophone 61.931666692097984 +katie zipper 49.44333283106486 +luke king 43.36166621247927 +luke steinbeck 42.238332599401474 +luke thompson 33.54000013073286 +luke xylophone 37.376666873693466 +nick ellison 35.72333384553591 +oscar davidson 39.27666728695234 +oscar van buren 49.643333752950035 +priscilla brown 39.95166691144308 +priscilla hernandez 42.346666733423866 +priscilla zipper 37.166666746139526 +quinn allen 37.50833328564962 +quinn ovid 41.199999888738 +rachel ovid 44.729999939600624 +rachel ovid 46.558333237965904 +rachel robinson 47.90833361943563 +rachel young 58.40333414077759 +sarah van buren 52.74833424886068 +ulysses johnson 45.21000083287557 +ulysses xylophone 31.506667653719585 +victor underhill 31.98666767279307 +wendy johnson 31.46333380540212 +wendy thompson 24.84999978542328 +xavier davidson 26.82799973487854 +xavier johnson 31.319999754428864 +yuri brown 41.09666633605957 +yuri hernandez 52.85499954223633 +zach young 44.29999923706055 +alice underhill 38.0366666217645 +bob carson 38.7966665327549 +calvin white 51.90833304325739 +ethan ichabod 52.48833360274633 +ethan nixon 46.103333373864494 +holly allen 40.5249999165535 +holly nixon 55.85333355267843 +jessica johnson 64.11166644096375 +jessica ovid 66.54166674613953 +jessica thompson 69.09166725476582 +nick king 68.65833353996277 +oscar carson 82.59166717529297 +priscilla garcia 80.75166702270508 +priscilla hernandez 68.91500091552734 +priscilla polk 53.32166742781798 +priscilla thompson 47.56499997278055 +quinn van buren 43.383333598574005 +rachel davidson 35.253333166241646 +rachel ellison 29.356666321555775 +rachel ichabod 37.651666397849716 +rachel ichabod 41.75999959309896 +rachel polk 49.56333351135254 +sarah falkner 59.53333377838135 +tom hernandez 63.331667264302574 +PREHOOK: query: explain vectorization detail +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), s (type: string), d (type: double) + sort order: ++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [0, 7, 5] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [0] + valueColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: avg only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col0, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col5 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(5)~FOLLOWING(5) + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s avg_window_0 +alice allen 33.20166666666666 +alice davidson 30.741428571428568 +alice falkner 27.742499999999996 +alice king 26.706666666666663 +alice king 26.306999999999995 +alice xylophone 24.458181818181814 +bob ellison 25.029090909090908 +bob falkner 24.216363636363635 +bob ichabod 20.173636363636362 +bob johnson 16.431818181818176 +bob polk 16.640909090909087 +bob underhill 15.266363636363632 +bob underhill 18.288181818181812 +bob van buren 18.405454545454543 +calvin ichabod 20.90363636363636 +calvin white 22.448181818181812 +david carson 24.329090909090898 +david falkner 25.01181818181817 +david garcia 22.984545454545444 +david hernandez 22.92272727272726 +ethan steinbeck 24.026363636363627 +ethan underhill 25.189090909090904 +fred ellison 27.159999999999993 +gabriella brown 25.66454545454545 +holly nixon 25.70545454545454 +holly polk 24.11818181818182 +holly steinbeck 24.49090909090909 +holly thompson 23.376363636363635 +holly underhill 19.453636363636363 +irene ellison 20.378181818181826 +irene underhill 23.510000000000012 +irene young 25.371818181818195 +jessica johnson 24.42636363636365 +jessica king 26.380000000000017 +jessica miller 23.99545454545456 +jessica white 26.866363636363655 +katie ichabod 28.520909090909115 +luke garcia 26.110909090909114 +luke ichabod 27.41909090909093 +luke king 28.713636363636375 +luke young 30.59181818181818 +mike allen 27.91545454545455 +mike king 25.526363636363644 +mike polk 24.774545454545464 +mike white 25.18363636363637 +mike xylophone 27.50818181818182 +nick nixon 26.225454545454546 +nick robinson 24.34454545454545 +oscar davidson 26.719090909090916 +oscar garcia 27.196363636363643 +oscar johnson 27.08272727272728 +oscar johnson 25.164545454545472 +oscar miller 28.059090909090916 +priscilla laertes 31.73727272727274 +priscilla quirinius 30.353636363636372 +priscilla zipper 27.961818181818195 +quinn ellison 29.40636363636366 +quinn polk 27.267272727272754 +rachel davidson 25.415454545454562 +rachel thompson 23.608181818181823 +sarah miller 21.49909090909091 +sarah robinson 23.40454545454546 +sarah xylophone 26.957272727272724 +sarah zipper 24.83545454545455 +tom hernandez 21.274545454545454 +tom hernandez 20.315454545454546 +tom polk 21.90181818181819 +tom steinbeck 20.772727272727273 +ulysses carson 21.647272727272718 +ulysses ellison 22.960909090909084 +ulysses quirinius 23.025454545454544 +ulysses robinson 23.762727272727282 +ulysses steinbeck 21.08909090909091 +victor allen 16.628181818181826 +victor hernandez 15.74909090909091 +victor robinson 18.193636363636355 +victor thompson 20.81181818181817 +victor xylophone 20.372727272727243 +wendy quirinius 20.81636363636362 +wendy robinson 19.936363636363634 +wendy xylophone 20.270909090909093 +xavier garcia 19.874000000000002 +xavier ovid 19.976666666666663 +yuri xylophone 21.89625000000001 +zach thompson 25.021428571428583 +zach young 27.77666666666668 +alice carson 18.785 +alice nixon 17.58142857142857 +alice underhill 17.072499999999998 +alice underhill 19.146666666666665 +alice xylophone 20.556 +bob falkner 19.116363636363637 +bob king 21.04 +bob ovid 20.854545454545452 +bob van buren 21.988181818181815 +bob xylophone 24.364545454545453 +calvin xylophone 26.91272727272727 +david falkner 27.31 +david laertes 28.00454545454545 +david miller 28.40090909090909 +PREHOOK: query: explain vectorization detail +select s, sum(i) over(partition by ts order by s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(i) over(partition by ts order by s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 7] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [2] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: i (type: int) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:string, VALUE._col2:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 1, 0] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 2] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 2, 1, 0] + outputTypes: [bigint, int, string, timestamp] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 3] + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +bob ovid 65748 +calvin brown 131440 +calvin laertes 197097 +calvin steinbeck 262874 +david falkner 328506 +fred nixon 394118 +fred zipper 459719 +gabriella van buren 525334 +gabriella xylophone 591058 +jessica laertes 656771 +jessica polk 722558 +katie king 788310 +katie white 853920 +luke zipper 919543 +mike laertes 985277 +nick carson 1050928 +oscar brown 1116474 +priscilla zipper 1182084 +rachel garcia 1247836 +rachel thompson 1313378 +sarah falkner 1379093 +tom johnson 1444791 +victor ellison 1510421 +victor van buren 1576006 +wendy steinbeck 1641591 +yuri allen 1707256 +alice miller 65581 +bob falkner 131319 +bob king 197015 +calvin carson 262712 +calvin nixon 328407 +calvin white 393960 +ethan ovid 459504 +ethan young 525178 +fred king 590838 +fred polk 656600 +gabriella johnson 722283 +gabriella steinbeck 787886 +gabriella underhill 853497 +holly falkner 919218 +holly thompson 985000 +irene brown 1050757 +jessica brown 1182155 +jessica brown 1182155 +jessica nixon 1247815 +jessica robinson 1313437 +katie davidson 1379172 +katie xylophone 1444746 +katie zipper 1510302 +luke king 1576084 +luke steinbeck 1641724 +luke thompson 1707324 +luke xylophone 1773102 +nick ellison 1838744 +oscar davidson 1904390 +oscar van buren 1969971 +priscilla brown 2035582 +priscilla hernandez 2101353 +priscilla zipper 2166925 +quinn allen 2232487 +quinn ovid 2298060 +rachel ovid 2429366 +rachel ovid 2429366 +rachel robinson 2495140 +rachel young 2560880 +sarah van buren 2626599 +ulysses johnson 2692259 +ulysses xylophone 2757830 +victor underhill 2823401 +wendy johnson 2889058 +wendy thompson 2954831 +xavier davidson 3020367 +xavier johnson 3086050 +yuri brown 3151628 +yuri hernandez 3217338 +zach young 3283046 +alice underhill 65705 +bob carson 131461 +calvin white 197044 +ethan ichabod 262796 +ethan nixon 328501 +holly allen 394248 +holly nixon 459928 +jessica johnson 525664 +jessica ovid 591415 +jessica thompson 657122 +nick king 722691 +oscar carson 788459 +priscilla garcia 854222 +priscilla hernandez 919979 +priscilla polk 985680 +priscilla thompson 1051347 +quinn van buren 1117102 +rachel davidson 1182710 +rachel ellison 1248448 +rachel ichabod 1379923 +rachel ichabod 1379923 +rachel polk 1445518 +sarah falkner 1511234 +tom hernandez 1576947 +PREHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [] + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:float + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col8 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0] + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleSum] + functionInputExpressions: [col 1] + functionNames: [sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [] + orderExpressions: [col 1] + outputColumns: [2, 1, 0] + outputTypes: [double, float, timestamp] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2] + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +f sum_window_0 +3.17 3.1700000762939453 +10.89 14.0600004196167 +14.54 28.600000381469727 +14.78 43.38000011444092 +17.85 61.230000495910645 +20.61 81.8400011062622 +28.69 110.53000164031982 +29.22 139.75000095367432 +31.17 170.92000102996826 +38.35 209.26999950408936 +38.61 247.88000011444092 +39.48 287.35999965667725 +40.54 327.9000005722046 +41.6 369.4999990463257 +46.08 415.58000087738037 +54.36 469.94000148773193 +56.94 526.8800001144409 +64.96 591.8399991989136 +73.52 665.35999584198 +78.58 743.9399976730347 +81.41 825.350001335144 +84.71 910.0600004196167 +87.43 997.4900007247925 +91.36 1088.850001335144 +92.96 1181.8100004196167 +95.04 1276.850001335144 +0.83 0.8299999833106995 +1.99 2.8199999928474426 +3.73 6.550000011920929 +8.86 15.409999668598175 +10.62 26.029999554157257 +11.32 37.349999248981476 +12.83 50.17999917268753 +14.7 64.87999898195267 +14.96 79.83999902009964 +17.58 97.4199989438057 +19.1 116.51999932527542 +21.01 137.52999955415726 +26.95 164.4800003170967 +27.23 191.70999985933304 +29.07 220.77999955415726 +29.71 250.4899986386299 +31.84 282.3299987912178 +31.94 314.2699993252754 +35.32 349.58999902009964 +37.32 386.90999871492386 +38.5 425.40999871492386 +42.08 467.49000054597855 +44.3 511.7899997830391 +44.66 556.4499996304512 +46.84 603.2899997830391 +48.89 652.1799991726875 +49.64 701.819998562336 +50.28 752.0999973416328 +52.09 804.1899974942207 +53.26 857.4499958157539 +54.09 911.5399959683418 +56.45 967.9899967312813 +56.76 1024.7499950528145 +61.41 1086.1599949002266 +61.88 1148.0399959683418 +63.03 1211.0699947476387 +64.55 1275.6199977993965 +68.62 1344.2400005459785 +76.13 1420.3699977993965 +79.05 1499.4200008511543 +80.43 1579.85000115633 +81.41 1661.2600048184395 +82.85 1744.1100032925606 +83.98 1828.0900066494942 +84.21 1912.3000057339668 +85.55 1997.8500087857246 +87.93 2085.7800090909004 +88.93 2174.710009396076 +94.27 2268.9800060391426 +99.45 2368.430002987385 +0.36 0.36000001430511475 +0.48 0.8400000035762787 +0.79 1.6300000250339508 +1.27 2.9000000059604645 +4.48 7.380000025033951 +9.0 16.38000002503395 +23.27 39.65000048279762 +25.13 64.77999964356422 +25.34 90.11999979615211 +25.91 116.02999964356422 +29.01 145.03999987244606 +30.47 175.50999918580055 +37.95 213.45999994874 +39.3 252.75999918580055 +45.91 298.66999903321266 +52.44 351.10999765992165 +54.1 405.20999613404274 +56.7 461.9099968969822 +58.77 520.6799973547459 +62.09 582.7699975073338 +68.2 650.9699944555759 +71.68 722.6499947607517 +79.46 802.1099938452244 +80.02 882.1299904882908 +PREHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [8, 4] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [8] + valueColumns: [] + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col8 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~PRECEDING(1) + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +f sum_window_0 +3.17 NULL +10.89 3.1700000762939453 +14.54 14.0600004196167 +14.78 25.43000030517578 +17.85 29.31999969482422 +20.61 32.63000011444092 +28.69 38.46000099182129 +29.22 49.30000114440918 +31.17 57.90999984741211 +38.35 60.38999938964844 +38.61 69.51999855041504 +39.48 76.95999908447266 +40.54 78.09000015258789 +41.6 80.02000045776367 +46.08 82.13999938964844 +54.36 87.68000030517578 +56.94 100.44000244140625 +64.96 111.29999923706055 +73.52 121.89999771118164 +78.58 138.47999572753906 +81.41 152.0999984741211 +84.71 159.99000549316406 +87.43 166.12000274658203 +91.36 172.13999938964844 +92.96 178.79000091552734 +95.04 184.31999969482422 +0.83 NULL +1.99 0.8299999833106995 +3.73 2.8199999928474426 +8.86 5.7200000286102295 +10.62 12.589999675750732 +11.32 19.479999542236328 +12.83 21.9399995803833 +14.7 24.149999618530273 +14.96 27.52999973297119 +17.58 29.65999984741211 +19.1 32.53999996185303 +21.01 36.68000030517578 +26.95 40.11000061035156 +27.23 47.96000099182129 +29.07 54.18000030517578 +29.71 56.29999923706055 +31.84 58.779998779296875 +31.94 61.54999923706055 +35.32 63.78000068664551 +37.32 67.26000022888184 +38.5 72.63999938964844 +42.08 75.81999969482422 +44.3 80.58000183105469 +44.66 86.38000106811523 +46.84 88.95999908447266 +48.89 91.5 +49.64 95.72999954223633 +50.28 98.52999877929688 +52.09 99.91999816894531 +53.26 102.36999893188477 +54.09 105.3499984741211 +56.45 107.3499984741211 +56.76 110.54000091552734 +61.41 113.20999908447266 +61.88 118.16999816894531 +63.03 123.29000091552734 +64.55 124.90999984741211 +68.62 127.58000183105469 +76.13 133.17000579833984 +79.05 144.75 +80.43 155.18000030517578 +81.41 159.4800033569336 +82.85 161.84000396728516 +83.98 164.26000213623047 +84.21 166.8300018310547 +85.55 168.19000244140625 +87.93 169.76000213623047 +88.93 173.4800033569336 +94.27 176.86000061035156 +99.45 183.1999969482422 +0.36 NULL +0.48 0.36000001430511475 +0.79 0.8400000035762787 +1.27 1.270000010728836 +4.48 2.060000002384186 +9.0 5.75 +23.27 13.480000019073486 +25.13 32.27000045776367 +25.34 48.39999961853027 +25.91 50.46999931335449 +29.01 51.25 +30.47 54.920000076293945 +37.95 59.47999954223633 +39.3 68.42000007629395 +45.91 77.25 +52.44 85.20999908447266 +54.1 98.3499984741211 +56.7 106.53999710083008 +58.77 110.79999923706055 +62.09 115.47000122070312 +68.2 120.86000061035156 +71.68 130.28999710083008 +79.46 139.87999725341797 +80.02 151.13999938964844 +PREHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round((avg_window_0 / 10.0), 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 5] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 4, decimalPlaces 2)(children: DoubleColDivideDoubleScalar(col 3, val 10.0) -> 4:double) -> 5:double + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +alice allen 65545 2.22 +alice allen 65557 2.58 +alice allen 65600 3.38 +alice allen 65609 2.99 +alice allen 65662 2.7 +alice allen 65670 2.88 +alice allen 65720 2.76 +PREHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(((avg_window_0 + 10.0) - (avg_window_0 - 10.0)), 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 4] + selectExpressions: RoundWithNumDigitsDoubleToDouble(col 6, decimalPlaces 2)(children: DoubleColSubtractDoubleColumn(col 4, col 5)(children: DoubleColAddDoubleScalar(col 3, val 10.0) -> 4:double, DoubleColSubtractDoubleScalar(col 3, val 10.0) -> 5:double) -> 6:double) -> 4:double + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +alice allen 65545 20.0 +alice allen 65557 20.0 +alice allen 65600 20.0 +alice allen 65609 20.0 +alice allen 65662 20.0 +alice allen 65670 20.0 +alice allen 65720 20.0 +PREHOOK: query: explain vectorization detail +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [7, 2] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [7] + valueColumns: [5] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:int, VALUE._col4:double + partitionColumnCount: 0 + scratchColumnTypeNames: double + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 0] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorDoubleAvg] + functionInputExpressions: [col 2] + functionNames: [avg] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 1, 2, 0] + outputTypes: [double, int, double, string] + partitionExpressions: [col 0] + streamingColumns: [] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Limit Vectorization: + className: VectorLimitOperator + native: true + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i +alice allen 65545 +alice allen 65557 +alice allen 65600 +alice allen 65609 +alice allen 65662 +alice allen 65670 +alice allen 65720 diff --git ql/src/test/results/clientpositive/llap/vector_windowing_windowspec4.q.out ql/src/test/results/clientpositive/llap/vector_windowing_windowspec4.q.out new file mode 100644 index 0000000..ff058e2 --- /dev/null +++ ql/src/test/results/clientpositive/llap/vector_windowing_windowspec4.q.out @@ -0,0 +1,223 @@ +PREHOOK: query: drop table if exists smalltable_windowing +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists smalltable_windowing +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table smalltable_windowing( + i int, + type string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smalltable_windowing +POSTHOOK: query: create table smalltable_windowing( + i int, + type string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smalltable_windowing +PREHOOK: query: insert into smalltable_windowing values(3, 'a'), (1, 'a'), (2, 'a') +PREHOOK: type: QUERY +PREHOOK: Output: default@smalltable_windowing +POSTHOOK: query: insert into smalltable_windowing values(3, 'a'), (1, 'a'), (2, 'a') +POSTHOOK: type: QUERY +POSTHOOK: Output: default@smalltable_windowing +POSTHOOK: Lineage: smalltable_windowing.i EXPRESSION [(values__tmp__table__1)values__tmp__table__1.FieldSchema(name:tmp_values_col1, type:string, comment:), ] +POSTHOOK: Lineage: smalltable_windowing.type SIMPLE [(values__tmp__table__1)values__tmp__table__1.FieldSchema(name:tmp_values_col2, type:string, comment:), ] +_col0 _col1 +PREHOOK: query: explain vectorization detail +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: smalltable_windowing + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: type (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: type (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumns: [1, 0] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + partitionColumns: [1] + valueColumns: [] + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized, llap + LLAP IO: no inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: true + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: i:int, type:string + partitionColumnCount: 0 + Reducer 2 + Execution mode: llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + notVectorizedReason: PTF Output Columns expression for PTF operator: Data type array of column collect_set_window_6 not supported + vectorized: false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: max_window_0 + arguments: _col0 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: min_window_1 + arguments: _col0 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: first_value_window_2 + arguments: _col0 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: last_value_window_3 + arguments: _col0 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: avg_window_4 + arguments: _col0 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: sum_window_5 + arguments: _col0 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: collect_set_window_6 + arguments: _col0 + name: collect_set + window function: GenericUDAFMkCollectionEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: count_window_7 + arguments: _col0 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col0 (type: int), max_window_0 (type: int), min_window_1 (type: int), first_value_window_2 (type: int), last_value_window_3 (type: int), avg_window_4 (type: double), sum_window_5 (type: bigint), collect_set_window_6 (type: array), count_window_7 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +PREHOOK: type: QUERY +PREHOOK: Input: default@smalltable_windowing +#### A masked pattern was here #### +POSTHOOK: query: select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smalltable_windowing +#### A masked pattern was here #### +type i max_window_0 min_window_1 first_value_window_2 last_value_window_3 avg_window_4 sum_window_5 collect_set_window_6 count_window_7 +a 1 3 1 1 3 2.0 6 [1,2,3] 3 +a 2 3 1 1 3 2.0 6 [1,2,3] 3 +a 3 3 2 2 3 2.5 5 [2,3] 2 diff --git ql/src/test/results/clientpositive/llap/vectorization_limit.q.out ql/src/test/results/clientpositive/llap/vectorization_limit.q.out index c7fdb65..fc30e22 100644 --- ql/src/test/results/clientpositive/llap/vectorization_limit.q.out +++ ql/src/test/results/clientpositive/llap/vectorization_limit.q.out @@ -271,7 +271,7 @@ STAGE PLANS: keys: _col0 (type: tinyint) mode: hash outputColumnNames: _col0, _col1 - Statistics: Num rows: 95 Data size: 7888 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 10628 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: tinyint) sort order: + @@ -283,7 +283,7 @@ STAGE PLANS: nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true partitionColumns: [0] valueColumns: [1] - Statistics: Num rows: 95 Data size: 7888 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 10628 Basic stats: COMPLETE Column stats: COMPLETE TopN Hash Memory Usage: 0.3 value expressions: _col1 (type: struct) Execution mode: vectorized, llap @@ -332,7 +332,7 @@ STAGE PLANS: keys: KEY._col0 (type: tinyint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 95 Data size: 1048 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 1412 Basic stats: COMPLETE Column stats: COMPLETE Limit Number of rows: 20 Limit Vectorization: @@ -434,7 +434,7 @@ STAGE PLANS: keys: ctinyint (type: tinyint) mode: hash outputColumnNames: _col0 - Statistics: Num rows: 95 Data size: 288 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 388 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: tinyint) sort order: + @@ -445,7 +445,7 @@ STAGE PLANS: native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true valueColumns: [] - Statistics: Num rows: 95 Data size: 288 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 388 Basic stats: COMPLETE Column stats: COMPLETE TopN Hash Memory Usage: 0.3 Execution mode: vectorized, llap LLAP IO: all inputs @@ -490,7 +490,7 @@ STAGE PLANS: keys: KEY._col0 (type: tinyint) mode: mergepartial outputColumnNames: _col0 - Statistics: Num rows: 95 Data size: 288 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 388 Basic stats: COMPLETE Column stats: COMPLETE Limit Number of rows: 20 Limit Vectorization: @@ -663,7 +663,7 @@ STAGE PLANS: keys: _col0 (type: tinyint) mode: complete outputColumnNames: _col0, _col1 - Statistics: Num rows: 95 Data size: 1048 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 128 Data size: 1412 Basic stats: COMPLETE Column stats: COMPLETE Limit Number of rows: 20 Limit Vectorization: @@ -795,7 +795,7 @@ STAGE PLANS: keys: cdouble (type: double) mode: hash outputColumnNames: _col0, _col1 - Statistics: Num rows: 3185 Data size: 44512 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 4159 Data size: 58120 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: double) sort order: + @@ -806,7 +806,7 @@ STAGE PLANS: native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true valueColumns: [1] - Statistics: Num rows: 3185 Data size: 44512 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 4159 Data size: 58120 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: bigint) Execution mode: vectorized, llap LLAP IO: all inputs @@ -853,7 +853,7 @@ STAGE PLANS: keys: KEY._col0 (type: double) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 3185 Data size: 44512 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 4159 Data size: 58120 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: bigint), _col0 (type: double) sort order: ++ @@ -863,7 +863,7 @@ STAGE PLANS: native: true nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true valueColumns: [] - Statistics: Num rows: 3185 Data size: 44512 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 4159 Data size: 58120 Basic stats: COMPLETE Column stats: COMPLETE TopN Hash Memory Usage: 0.3 Reducer 3 Execution mode: vectorized, llap @@ -888,7 +888,7 @@ STAGE PLANS: className: VectorSelectOperator native: true projectedOutputColumns: [1, 0] - Statistics: Num rows: 3185 Data size: 44512 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 4159 Data size: 58120 Basic stats: COMPLETE Column stats: COMPLETE Limit Number of rows: 20 Limit Vectorization: diff --git ql/src/test/results/clientpositive/llap/vectorized_mapjoin2.q.out ql/src/test/results/clientpositive/llap/vectorized_mapjoin2.q.out index 26c377f..74ff8df 100644 --- ql/src/test/results/clientpositive/llap/vectorized_mapjoin2.q.out +++ ql/src/test/results/clientpositive/llap/vectorized_mapjoin2.q.out @@ -88,9 +88,9 @@ STAGE PLANS: 1 Map 3 Statistics: Num rows: 49 Data size: 199 Basic stats: COMPLETE Column stats: NONE Group By Operator - aggregations: count(1) + aggregations: count() Group By Vectorization: - aggregators: VectorUDAFCount(ConstantVectorExpression(val 1) -> 1:long) -> bigint + aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH vectorOutput: true diff --git ql/src/test/results/clientpositive/llap/vectorized_ptf.q.out ql/src/test/results/clientpositive/llap/vectorized_ptf.q.out index 0a6d87a..cf5bdea 100644 --- ql/src/test/results/clientpositive/llap/vectorized_ptf.q.out +++ ql/src/test/results/clientpositive/llap/vectorized_ptf.q.out @@ -182,7 +182,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -214,7 +214,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -239,21 +239,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -458,7 +458,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -490,7 +490,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -515,7 +515,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 17646 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -649,7 +649,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -806,7 +806,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -838,7 +838,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -863,21 +863,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -1023,7 +1023,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1055,7 +1055,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -1080,21 +1080,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1243,7 +1243,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1283,7 +1283,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Group By Operator @@ -1309,21 +1309,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col2, 1, _col2 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1506,7 +1506,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1740,7 +1740,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1891,7 +1891,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1923,7 +1923,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -1948,7 +1948,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -2086,7 +2086,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2119,7 +2119,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2144,21 +2144,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2300,7 +2300,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2332,7 +2332,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2357,21 +2357,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2516,7 +2516,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2571,7 +2571,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2611,7 +2611,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2636,21 +2636,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2802,7 +2802,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2834,7 +2834,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -2859,13 +2859,13 @@ STAGE PLANS: arguments: _col5 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_1 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint), round(sum_window_1, 2) (type: double) @@ -3063,7 +3063,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3115,7 +3115,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -3140,33 +3140,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 17646 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -3311,7 +3311,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3549,7 +3549,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Group By Operator @@ -3587,7 +3587,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -3612,7 +3612,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~CURRENT + window frame: ROWS PRECEDING(2)~CURRENT Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), round(sum_window_0, 2) (type: double) @@ -3808,7 +3808,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3846,7 +3846,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -3871,21 +3871,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -3904,7 +3904,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -3929,7 +3929,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(5)~CURRENT + window frame: RANGE PRECEDING(5)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) @@ -3946,7 +3946,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -3971,28 +3971,28 @@ STAGE PLANS: arguments: _col3, _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 arguments: _col3, _col2 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: cume_dist_window_3 arguments: _col3, _col2 name: cume_dist window function: GenericUDAFCumeDistEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_4 arguments: _col6, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col3 (type: string), _col2 (type: string), _col6 (type: int), UDFToInteger(round(_col0, 1)) (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), cume_dist_window_3 (type: double), first_value_window_4 (type: int) @@ -4246,7 +4246,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4308,7 +4308,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4348,7 +4348,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -4373,21 +4373,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4562,7 +4562,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4601,7 +4601,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4633,7 +4633,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4665,7 +4665,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -4690,21 +4690,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4874,7 +4874,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4913,7 +4913,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4948,16 +4948,29 @@ STAGE PLANS: Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: int) Reducer 4 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -4977,28 +4990,48 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1, col 1, col 2] + functionNames: [rank, dense_rank, sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 1, 0, 2] + outputTypes: [int, int, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3, 4] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3, 4, 2, 5] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -5162,7 +5195,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5201,7 +5234,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5249,7 +5282,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5282,7 +5315,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -5307,21 +5340,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -5493,7 +5526,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5548,7 +5581,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5588,7 +5621,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -5613,21 +5646,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) @@ -5793,7 +5826,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5848,7 +5881,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5877,16 +5910,29 @@ STAGE PLANS: Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: int) Reducer 4 - Execution mode: llap + Execution mode: vectorized, llap Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -5906,28 +5952,48 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1, col 1, col 2] + functionNames: [rank, dense_rank, sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 1, 0, 2] + outputTypes: [int, int, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3, 4] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3, 4, 2, 5, 5] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat diff --git ql/src/test/results/clientpositive/llap/windowing.q.out ql/src/test/results/clientpositive/llap/windowing.q.out index 468b67e..713fc3b 100644 --- ql/src/test/results/clientpositive/llap/windowing.q.out +++ ql/src/test/results/clientpositive/llap/windowing.q.out @@ -1868,7 +1868,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 12766 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) diff --git ql/src/test/results/clientpositive/llap/windowing_windowspec.q.out ql/src/test/results/clientpositive/llap/windowing_windowspec.q.out new file mode 100644 index 0000000..9da6183 --- /dev/null +++ ql/src/test/results/clientpositive/llap/windowing_windowspec.q.out @@ -0,0 +1,955 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +alice ichabod 4294967441 +alice robinson 8589934917 +bob robinson 12884902266 +calvin thompson 17179869602 +david johnson 21474837092 +david laertes 25769804523 +david nixon 30064771904 +david nixon 34359739395 +ethan johnson 38654706752 +ethan ovid 42949674180 +ethan underhill 47244641690 +fred miller 51539609102 +fred miller 55834576592 +gabriella garcia 60129544023 +gabriella underhill 64424511330 +holly white 68719478650 +irene johnson 73014446110 +katie ellison 77309413485 +luke allen 81604380948 +mike quirinius 85899348426 +mike white 90194315855 +nick davidson 94489283385 +oscar allen 98784250693 +oscar garcia 103079218190 +oscar ichabod 107374185594 +oscar ovid 111669153102 +oscar steinbeck 115964120553 +priscilla garcia 120259087901 +priscilla white 124554055390 +priscilla xylophone 128849022850 +priscilla young 133143990191 +rachel brown 137438957640 +rachel ichabod 141733924974 +rachel xylophone 146028892291 +sarah thompson 150323859590 +sarah thompson 154618826928 +tom johnson 158913794359 +tom steinbeck 163208761724 +ulysses polk 167503729208 +victor johnson 171798696592 +wendy polk 176093663918 +xavier davidson 180388631312 +yuri ellison 184683598825 +zach allen 188978566334 +zach hernandez 193273533646 +alice ellison 4294967446 +bob carson 8589934892 +calvin brown 12884902329 +david xylophone 17179869748 +ethan white 21474837241 +fred johnson 25769804704 +fred van buren 30064772167 +gabriella ichabod 34359739606 +holly laertes 38654707054 +holly quirinius 42949674584 +jessica hernandez 47244642120 +katie robinson 51539609539 +katie thompson 55834576895 +luke nixon 60129544345 +mike garcia 64424511764 +mike hernandez 68719479285 +nick carson 73014446621 +nick davidson 77309414083 +oscar carson 81604381543 +oscar robinson 85899348869 +priscilla white 90194316274 +sarah falkner 94489283722 +sarah ichabod 98784251271 +ulysses falkner 103079218819 +victor xylophone 107374186359 +wendy garcia 111669153733 +wendy van buren 115964121147 +xavier underhill 120259088561 +yuri garcia 124554056001 +yuri quirinius 128849023443 +yuri white 133143990852 +zach falkner 137438958357 +zach ichabod 141733925776 +zach nixon 146028893205 +zach ovid 150323860576 +alice ichabod 4294967451 +alice king 8589934958 +alice robinson 12884902278 +calvin allen 17179869612 +gabriella johnson 21474837108 +gabriella nixon 25769804436 +holly falkner 30064771905 +holly hernandez 34359739256 +holly thompson 38654706595 +katie nixon 42949674112 +luke brown 47244641636 +luke davidson 51539608978 +luke white 55834576299 +mike brown 60129543641 +nick quirinius 64424511126 +oscar white 68719478551 +priscilla xylophone 73014446004 +quinn garcia 77309413317 +quinn laertes 81604380656 +rachel young 85899348171 +PREHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +calvin miller 8.390000343322754 +holly polk 5.289999961853027 +wendy quirinius 30.789999961853027 +yuri laertes 68.38000011444092 +nick steinbeck 79.23999786376953 +katie brown 60.0 +priscilla quirinius 137.83999633789062 +tom young 186.33999633789062 +gabriella quirinius 14.359999656677246 +katie falkner 65.92999935150146 +xavier robinson 153.84000301361084 +ethan carson 40.90999984741211 +victor johnson 100.0 +jessica king 92.70999908447266 +jessica white 124.16999816894531 +zach white 170.71999740600586 +holly falkner 97.3499984741211 +quinn falkner 196.23999786376953 +victor davidson 255.95999908447266 +holly young 19.110000610351562 +nick robinson 13.329999923706055 +xavier steinbeck 48.53999900817871 +irene king 30.469999313354492 +quinn zipper 90.04000091552734 +priscilla miller 15.359999656677246 +wendy zipper 92.8000020980835 +yuri miller 153.5600004196167 +zach steinbeck 9.069999694824219 +fred nixon 50.08000183105469 +katie brown 13.300000190734863 +nick davidson 87.05000305175781 +gabriella davidson 3.940000057220459 +zach carson 70.88999700546265 +holly hernandez 48.52000045776367 +jessica quirinius 90.18000030517578 +tom xylophone 166.11000061035156 +wendy king 184.76000022888184 +gabriella brown 84.83000183105469 +quinn johnson 134.9800033569336 +yuri zipper 205.75 +david robinson 64.79000091552734 +mike nixon 153.7300033569336 +gabriella white 1.4199999570846558 +rachel davidson 98.12999904155731 +yuri garcia 9.880000114440918 +yuri zipper 104.01999950408936 +alice king 85.72000122070312 +jessica steinbeck 111.41000175476074 +katie hernandez 178.9699993133545 +katie ovid 40.0 +priscilla young 101.72999954223633 +quinn davidson 196.8400001525879 +quinn van buren 279.6400032043457 +victor steinbeck 309.6400032043457 +gabriella brown 80.6500015258789 +jessica ichabod 96.54000091552734 +zach laertes 104.50000095367432 +ethan miller 49.61000061035156 +irene carson 110.68000030517578 +irene falkner 131.42000007629395 +priscilla zipper 201.39000129699707 +tom robinson 290.75000190734863 +katie polk 38.689998626708984 +nick white 96.93999862670898 +sarah davidson 99.59999871253967 +xavier laertes 161.30999779701233 +alice ichabod 32.689998626708984 +nick polk 130.97999954223633 +gabriella robinson 90.0999984741211 +luke brown 90.71999847888947 +wendy allen 116.34999763965607 +calvin ichabod 29.059999465942383 +holly steinbeck 98.4799976348877 +gabriella carson 38.09000015258789 +holly van buren 106.89999771118164 +tom nixon 191.92999649047852 +katie laertes 75.75 +mike brown 163.97000122070312 +oscar nixon 24.020000457763672 +zach garcia 101.61999893188477 +tom polk 76.98999786376953 +mike allen 96.44999694824219 +alice johnson 1.090000033378601 +holly robinson 26.209999084472656 +priscilla thompson 111.12999725341797 +yuri young 168.73999786376953 +rachel carson 80.98999786376953 +gabriella laertes 39.81999969482422 +victor brown 78.97999954223633 +bob carson 24.149999618530273 +holly allen 68.71999931335449 +fred nixon 38.04999923706055 +rachel carson 119.60000228881836 +alice nixon 49.130001068115234 +priscilla brown 123.57999801635742 +victor falkner 42.4900016784668 +david garcia 67.27999877929688 +holly hernandez 116.36999893188477 +tom white 154.0 +rachel ellison 10.600000381469727 +PREHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +gabriella xylophone 1276.850001335144 +calvin brown 1273.68000125885 +jessica laertes 1262.7900009155273 +yuri allen 1248.2500009536743 +tom johnson 1233.4700012207031 +bob ovid 1215.6200008392334 +fred nixon 1195.0100002288818 +oscar brown 1166.3199996948242 +calvin laertes 1137.1000003814697 +david falkner 1105.9300003051758 +calvin steinbeck 1067.5800018310547 +katie white 1028.9700012207031 +sarah falkner 989.4900016784668 +mike laertes 948.9500007629395 +victor ellison 907.3500022888184 +luke zipper 861.2700004577637 +rachel garcia 806.9099998474121 +wendy steinbeck 749.9700012207031 +priscilla zipper 685.0100021362305 +rachel thompson 611.4900054931641 +victor van buren 532.9100036621094 +fred zipper 451.5 +gabriella van buren 366.79000091552734 +nick carson 279.36000061035156 +katie king 188.0 +jessica polk 95.04000091552734 +oscar davidson 2368.430002987385 +xavier johnson 2367.600003004074 +rachel ovid 2365.6100029945374 +xavier davidson 2361.880002975464 +nick ellison 2353.0200033187866 +jessica robinson 2342.4000034332275 +bob king 2331.0800037384033 +ulysses xylophone 2318.2500038146973 +wendy thompson 2303.550004005432 +yuri brown 2288.590003967285 +ethan ovid 2271.010004043579 +rachel robinson 2251.9100036621094 +holly falkner 2230.9000034332275 +calvin nixon 2203.950002670288 +luke thompson 2176.7200031280518 +gabriella johnson 2147.6500034332275 +jessica brown 2117.940004348755 +quinn allen 2086.100004196167 +irene brown 2054.1600036621094 +katie zipper 2018.8400039672852 +gabriella steinbeck 1981.520004272461 +priscilla brown 1943.020004272461 +zach young 1900.9400024414062 +alice miller 1856.6400032043457 +priscilla zipper 1811.9800033569336 +rachel young 1765.1400032043457 +holly thompson 1716.2500038146973 +calvin white 1666.6100044250488 +priscilla hernandez 1616.330005645752 +fred polk 1564.240005493164 +sarah van buren 1510.9800071716309 +rachel ovid 1456.890007019043 +luke xylophone 1400.4400062561035 +yuri hernandez 1343.6800079345703 +oscar van buren 1282.2700080871582 +quinn ovid 1220.390007019043 +victor underhill 1157.360008239746 +luke king 1092.8100051879883 +calvin carson 1024.1900024414062 +jessica brown 948.0600051879883 +jessica nixon 869.0100021362305 +katie davidson 788.5800018310547 +fred king 707.1699981689453 +wendy johnson 624.3199996948242 +ulysses johnson 540.3399963378906 +katie xylophone 456.12999725341797 +ethan young 370.57999420166016 +gabriella underhill 282.6499938964844 +luke steinbeck 193.7199935913086 +bob falkner 99.44999694824219 +holly allen 1607.950005441904 +rachel ichabod 1607.590005427599 +bob carson 1607.1100054383278 +wendy miller 1606.3200054168701 +nick king 1605.0500054359436 +rachel ellison 1600.5700054168701 +yuri garcia 1591.5700054168701 +victor hernandez 1568.3000049591064 +wendy underhill 1543.1700057983398 +alice underhill 1517.830005645752 +rachel polk 1491.9200057983398 +holly nixon 1462.910005569458 +ethan nixon 1432.4400062561035 +sarah falkner 1394.490005493164 +tom hernandez 1355.1900062561035 +rachel ichabod 1309.2800064086914 +priscilla thompson 1256.8400077819824 +jessica thompson 1202.7400093078613 +ulysses carson 1146.0400085449219 +wendy falkner 1087.2700080871582 +calvin white 1025.1800079345703 +jessica ovid 956.9800109863281 +jessica johnson 885.3000106811523 +priscilla garcia 805.8400115966797 +PREHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +bob ovid 28.053333441416424 +calvin brown 38.73666652043661 +calvin laertes 51.493333180745445 +calvin steinbeck 46.826666514078774 +david falkner 42.81499973932902 +fred nixon 52.26333347956339 +fred zipper 62.97499990463257 +gabriella van buren 55.43666664759318 +gabriella xylophone 49.925000031789146 +jessica laertes 56.32999976476034 +jessica polk 69.13333320617676 +katie king 58.16333293914795 +katie white 54.92333253224691 +luke zipper 57.83333237965902 +mike laertes 61.86999924977621 +nick carson 61.69333299001058 +oscar brown 49.44166628519694 +priscilla zipper 52.25166670481364 +rachel garcia 53.56666787465414 +rachel thompson 54.903334617614746 +sarah falkner 44.27000093460083 +tom johnson 45.01600093841553 +victor ellison 51.80750107765198 +victor van buren 53.71666749318441 +wendy steinbeck 39.869999408721924 +yuri allen 14.779999732971191 +alice miller 51.76333204905192 +bob falkner 47.50333213806152 +bob king 45.58333269755045 +calvin carson 57.253332455952965 +calvin nixon 53.441665967305504 +calvin white 53.85499922434489 +ethan ovid 51.891666094462074 +ethan young 63.52999941507975 +fred king 53.36666615804037 +fred polk 47.83166631062826 +gabriella johnson 44.84166653951009 +gabriella steinbeck 45.1966667175293 +gabriella underhill 51.95500055948893 +holly falkner 50.538333892822266 +holly thompson 47.93333371480306 +irene brown 53.22833442687988 +jessica brown 61.600001653035484 +jessica brown 62.51333491007487 +jessica nixon 60.775001525878906 +jessica robinson 63.08166758219401 +katie davidson 66.04000091552734 +katie xylophone 61.931666692097984 +katie zipper 49.44333283106486 +luke king 43.36166621247927 +luke steinbeck 42.238332599401474 +luke thompson 33.54000013073286 +luke xylophone 37.376666873693466 +nick ellison 35.72333384553591 +oscar davidson 39.27666728695234 +oscar van buren 49.643333752950035 +priscilla brown 39.95166691144308 +priscilla hernandez 42.346666733423866 +priscilla zipper 37.166666746139526 +quinn allen 37.50833328564962 +quinn ovid 41.199999888738 +rachel ovid 44.729999939600624 +rachel ovid 46.558333237965904 +rachel robinson 47.90833361943563 +rachel young 58.40333414077759 +sarah van buren 52.74833424886068 +ulysses johnson 45.21000083287557 +ulysses xylophone 31.506667653719585 +victor underhill 31.98666767279307 +wendy johnson 31.46333380540212 +wendy thompson 24.84999978542328 +xavier davidson 26.82799973487854 +xavier johnson 31.319999754428864 +yuri brown 41.09666633605957 +yuri hernandez 52.85499954223633 +zach young 44.29999923706055 +alice underhill 38.0366666217645 +bob carson 38.7966665327549 +calvin white 51.90833304325739 +ethan ichabod 52.48833360274633 +ethan nixon 46.103333373864494 +holly allen 40.5249999165535 +holly nixon 55.85333355267843 +jessica johnson 64.11166644096375 +jessica ovid 66.54166674613953 +jessica thompson 69.09166725476582 +nick king 68.65833353996277 +oscar carson 82.59166717529297 +priscilla garcia 80.75166702270508 +priscilla hernandez 68.91500091552734 +priscilla polk 53.32166742781798 +priscilla thompson 47.56499997278055 +quinn van buren 43.383333598574005 +rachel davidson 35.253333166241646 +rachel ellison 29.356666321555775 +rachel ichabod 37.651666397849716 +rachel ichabod 41.75999959309896 +rachel polk 49.56333351135254 +sarah falkner 59.53333377838135 +tom hernandez 63.331667264302574 +PREHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +alice allen 33.20166666666666 +alice davidson 30.741428571428568 +alice falkner 27.742499999999996 +alice king 26.706666666666663 +alice king 26.306999999999995 +alice xylophone 24.458181818181814 +bob ellison 25.029090909090908 +bob falkner 24.216363636363635 +bob ichabod 20.173636363636362 +bob johnson 16.431818181818176 +bob polk 16.640909090909087 +bob underhill 15.266363636363632 +bob underhill 18.288181818181812 +bob van buren 18.405454545454543 +calvin ichabod 20.90363636363636 +calvin white 22.448181818181812 +david carson 24.329090909090898 +david falkner 25.01181818181817 +david garcia 22.984545454545444 +david hernandez 22.92272727272726 +ethan steinbeck 24.026363636363627 +ethan underhill 25.189090909090904 +fred ellison 27.159999999999993 +gabriella brown 25.66454545454545 +holly nixon 25.70545454545454 +holly polk 24.11818181818182 +holly steinbeck 24.49090909090909 +holly thompson 23.376363636363635 +holly underhill 19.453636363636363 +irene ellison 20.378181818181826 +irene underhill 23.510000000000012 +irene young 25.371818181818195 +jessica johnson 24.42636363636365 +jessica king 26.380000000000017 +jessica miller 23.99545454545456 +jessica white 26.866363636363655 +katie ichabod 28.520909090909115 +luke garcia 26.110909090909114 +luke ichabod 27.41909090909093 +luke king 28.713636363636375 +luke young 30.59181818181818 +mike allen 27.91545454545455 +mike king 25.526363636363644 +mike polk 24.774545454545464 +mike white 25.18363636363637 +mike xylophone 27.50818181818182 +nick nixon 26.225454545454546 +nick robinson 24.34454545454545 +oscar davidson 26.719090909090916 +oscar garcia 27.196363636363643 +oscar johnson 27.08272727272728 +oscar johnson 25.164545454545472 +oscar miller 28.059090909090916 +priscilla laertes 31.73727272727274 +priscilla quirinius 30.353636363636372 +priscilla zipper 27.961818181818195 +quinn ellison 29.40636363636366 +quinn polk 27.267272727272754 +rachel davidson 25.415454545454562 +rachel thompson 23.608181818181823 +sarah miller 21.49909090909091 +sarah robinson 23.40454545454546 +sarah xylophone 26.957272727272724 +sarah zipper 24.83545454545455 +tom hernandez 21.274545454545454 +tom hernandez 20.315454545454546 +tom polk 21.90181818181819 +tom steinbeck 20.772727272727273 +ulysses carson 21.647272727272718 +ulysses ellison 22.960909090909084 +ulysses quirinius 23.025454545454544 +ulysses robinson 23.762727272727282 +ulysses steinbeck 21.08909090909091 +victor allen 16.628181818181826 +victor hernandez 15.74909090909091 +victor robinson 18.193636363636355 +victor thompson 20.81181818181817 +victor xylophone 20.372727272727243 +wendy quirinius 20.81636363636362 +wendy robinson 19.936363636363634 +wendy xylophone 20.270909090909093 +xavier garcia 19.874000000000002 +xavier ovid 19.976666666666663 +yuri xylophone 21.89625000000001 +zach thompson 25.021428571428583 +zach young 27.77666666666668 +alice carson 18.785 +alice nixon 17.58142857142857 +alice underhill 17.072499999999998 +alice underhill 19.146666666666665 +alice xylophone 20.556 +bob falkner 19.116363636363637 +bob king 21.04 +bob ovid 20.854545454545452 +bob van buren 21.988181818181815 +bob xylophone 24.364545454545453 +calvin xylophone 26.91272727272727 +david falkner 27.31 +david laertes 28.00454545454545 +david miller 28.40090909090909 +PREHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +bob ovid 65748 +calvin brown 131440 +calvin laertes 197097 +calvin steinbeck 262874 +david falkner 328506 +fred nixon 394118 +fred zipper 459719 +gabriella van buren 525334 +gabriella xylophone 591058 +jessica laertes 656771 +jessica polk 722558 +katie king 788310 +katie white 853920 +luke zipper 919543 +mike laertes 985277 +nick carson 1050928 +oscar brown 1116474 +priscilla zipper 1182084 +rachel garcia 1247836 +rachel thompson 1313378 +sarah falkner 1379093 +tom johnson 1444791 +victor ellison 1510421 +victor van buren 1576006 +wendy steinbeck 1641591 +yuri allen 1707256 +alice miller 65581 +bob falkner 131319 +bob king 197015 +calvin carson 262712 +calvin nixon 328407 +calvin white 393960 +ethan ovid 459504 +ethan young 525178 +fred king 590838 +fred polk 656600 +gabriella johnson 722283 +gabriella steinbeck 787886 +gabriella underhill 853497 +holly falkner 919218 +holly thompson 985000 +irene brown 1050757 +jessica brown 1182155 +jessica brown 1182155 +jessica nixon 1247815 +jessica robinson 1313437 +katie davidson 1379172 +katie xylophone 1444746 +katie zipper 1510302 +luke king 1576084 +luke steinbeck 1641724 +luke thompson 1707324 +luke xylophone 1773102 +nick ellison 1838744 +oscar davidson 1904390 +oscar van buren 1969971 +priscilla brown 2035582 +priscilla hernandez 2101353 +priscilla zipper 2166925 +quinn allen 2232487 +quinn ovid 2298060 +rachel ovid 2429366 +rachel ovid 2429366 +rachel robinson 2495140 +rachel young 2560880 +sarah van buren 2626599 +ulysses johnson 2692259 +ulysses xylophone 2757830 +victor underhill 2823401 +wendy johnson 2889058 +wendy thompson 2954831 +xavier davidson 3020367 +xavier johnson 3086050 +yuri brown 3151628 +yuri hernandez 3217338 +zach young 3283046 +alice underhill 65705 +bob carson 131461 +calvin white 197044 +ethan ichabod 262796 +ethan nixon 328501 +holly allen 394248 +holly nixon 459928 +jessica johnson 525664 +jessica ovid 591415 +jessica thompson 657122 +nick king 722691 +oscar carson 788459 +priscilla garcia 854222 +priscilla hernandez 919979 +priscilla polk 985680 +priscilla thompson 1051347 +quinn van buren 1117102 +rachel davidson 1182710 +rachel ellison 1248448 +rachel ichabod 1379923 +rachel ichabod 1379923 +rachel polk 1445518 +sarah falkner 1511234 +tom hernandez 1576947 +PREHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +3.17 3.1700000762939453 +10.89 14.0600004196167 +14.54 28.600000381469727 +14.78 43.38000011444092 +17.85 61.230000495910645 +20.61 81.8400011062622 +28.69 110.53000164031982 +29.22 139.75000095367432 +31.17 170.92000102996826 +38.35 209.26999950408936 +38.61 247.88000011444092 +39.48 287.35999965667725 +40.54 327.9000005722046 +41.6 369.4999990463257 +46.08 415.58000087738037 +54.36 469.94000148773193 +56.94 526.8800001144409 +64.96 591.8399991989136 +73.52 665.35999584198 +78.58 743.9399976730347 +81.41 825.350001335144 +84.71 910.0600004196167 +87.43 997.4900007247925 +91.36 1088.850001335144 +92.96 1181.8100004196167 +95.04 1276.850001335144 +0.83 0.8299999833106995 +1.99 2.8199999928474426 +3.73 6.550000011920929 +8.86 15.409999668598175 +10.62 26.029999554157257 +11.32 37.349999248981476 +12.83 50.17999917268753 +14.7 64.87999898195267 +14.96 79.83999902009964 +17.58 97.4199989438057 +19.1 116.51999932527542 +21.01 137.52999955415726 +26.95 164.4800003170967 +27.23 191.70999985933304 +29.07 220.77999955415726 +29.71 250.4899986386299 +31.84 282.3299987912178 +31.94 314.2699993252754 +35.32 349.58999902009964 +37.32 386.90999871492386 +38.5 425.40999871492386 +42.08 467.49000054597855 +44.3 511.7899997830391 +44.66 556.4499996304512 +46.84 603.2899997830391 +48.89 652.1799991726875 +49.64 701.819998562336 +50.28 752.0999973416328 +52.09 804.1899974942207 +53.26 857.4499958157539 +54.09 911.5399959683418 +56.45 967.9899967312813 +56.76 1024.7499950528145 +61.41 1086.1599949002266 +61.88 1148.0399959683418 +63.03 1211.0699947476387 +64.55 1275.6199977993965 +68.62 1344.2400005459785 +76.13 1420.3699977993965 +79.05 1499.4200008511543 +80.43 1579.85000115633 +81.41 1661.2600048184395 +82.85 1744.1100032925606 +83.98 1828.0900066494942 +84.21 1912.3000057339668 +85.55 1997.8500087857246 +87.93 2085.7800090909004 +88.93 2174.710009396076 +94.27 2268.9800060391426 +99.45 2368.430002987385 +0.36 0.36000001430511475 +0.48 0.8400000035762787 +0.79 1.6300000250339508 +1.27 2.9000000059604645 +4.48 7.380000025033951 +9.0 16.38000002503395 +23.27 39.65000048279762 +25.13 64.77999964356422 +25.34 90.11999979615211 +25.91 116.02999964356422 +29.01 145.03999987244606 +30.47 175.50999918580055 +37.95 213.45999994874 +39.3 252.75999918580055 +45.91 298.66999903321266 +52.44 351.10999765992165 +54.1 405.20999613404274 +56.7 461.9099968969822 +58.77 520.6799973547459 +62.09 582.7699975073338 +68.2 650.9699944555759 +71.68 722.6499947607517 +79.46 802.1099938452244 +80.02 882.1299904882908 +PREHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +3.17 NULL +10.89 3.1700000762939453 +14.54 14.0600004196167 +14.78 25.43000030517578 +17.85 29.31999969482422 +20.61 32.63000011444092 +28.69 38.46000099182129 +29.22 49.30000114440918 +31.17 57.90999984741211 +38.35 60.38999938964844 +38.61 69.51999855041504 +39.48 76.95999908447266 +40.54 78.09000015258789 +41.6 80.02000045776367 +46.08 82.13999938964844 +54.36 87.68000030517578 +56.94 100.44000244140625 +64.96 111.29999923706055 +73.52 121.89999771118164 +78.58 138.47999572753906 +81.41 152.0999984741211 +84.71 159.99000549316406 +87.43 166.12000274658203 +91.36 172.13999938964844 +92.96 178.79000091552734 +95.04 184.31999969482422 +0.83 NULL +1.99 0.8299999833106995 +3.73 2.8199999928474426 +8.86 5.7200000286102295 +10.62 12.589999675750732 +11.32 19.479999542236328 +12.83 21.9399995803833 +14.7 24.149999618530273 +14.96 27.52999973297119 +17.58 29.65999984741211 +19.1 32.53999996185303 +21.01 36.68000030517578 +26.95 40.11000061035156 +27.23 47.96000099182129 +29.07 54.18000030517578 +29.71 56.29999923706055 +31.84 58.779998779296875 +31.94 61.54999923706055 +35.32 63.78000068664551 +37.32 67.26000022888184 +38.5 72.63999938964844 +42.08 75.81999969482422 +44.3 80.58000183105469 +44.66 86.38000106811523 +46.84 88.95999908447266 +48.89 91.5 +49.64 95.72999954223633 +50.28 98.52999877929688 +52.09 99.91999816894531 +53.26 102.36999893188477 +54.09 105.3499984741211 +56.45 107.3499984741211 +56.76 110.54000091552734 +61.41 113.20999908447266 +61.88 118.16999816894531 +63.03 123.29000091552734 +64.55 124.90999984741211 +68.62 127.58000183105469 +76.13 133.17000579833984 +79.05 144.75 +80.43 155.18000030517578 +81.41 159.4800033569336 +82.85 161.84000396728516 +83.98 164.26000213623047 +84.21 166.8300018310547 +85.55 168.19000244140625 +87.93 169.76000213623047 +88.93 173.4800033569336 +94.27 176.86000061035156 +99.45 183.1999969482422 +0.36 NULL +0.48 0.36000001430511475 +0.79 0.8400000035762787 +1.27 1.270000010728836 +4.48 2.060000002384186 +9.0 5.75 +23.27 13.480000019073486 +25.13 32.27000045776367 +25.34 48.39999961853027 +25.91 50.46999931335449 +29.01 51.25 +30.47 54.920000076293945 +37.95 59.47999954223633 +39.3 68.42000007629395 +45.91 77.25 +52.44 85.20999908447266 +54.1 98.3499984741211 +56.7 106.53999710083008 +58.77 110.79999923706055 +62.09 115.47000122070312 +68.2 120.86000061035156 +71.68 130.28999710083008 +79.46 139.87999725341797 +80.02 151.13999938964844 +PREHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +alice allen 65545 2.22 +alice allen 65557 2.58 +alice allen 65600 3.38 +alice allen 65609 2.99 +alice allen 65662 2.7 +alice allen 65670 2.88 +alice allen 65720 2.76 +PREHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +alice allen 65545 20.0 +alice allen 65557 20.0 +alice allen 65600 20.0 +alice allen 65609 20.0 +alice allen 65662 20.0 +alice allen 65670 20.0 +alice allen 65720 20.0 +PREHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +alice allen 65545 +alice allen 65557 +alice allen 65600 +alice allen 65609 +alice allen 65662 +alice allen 65670 +alice allen 65720 diff --git ql/src/test/results/clientpositive/outer_reference_windowed.q.out ql/src/test/results/clientpositive/outer_reference_windowed.q.out index 1df6091..003a04c 100644 --- ql/src/test/results/clientpositive/outer_reference_windowed.q.out +++ ql/src/test/results/clientpositive/outer_reference_windowed.q.out @@ -189,7 +189,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: decimal(35,2)) @@ -303,7 +303,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: decimal(35,2)) @@ -473,7 +473,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: decimal(35,2)) @@ -647,7 +647,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumHiveDecimal - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: decimal(35,2)) @@ -803,7 +803,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double) diff --git ql/src/test/results/clientpositive/pcs.q.out ql/src/test/results/clientpositive/pcs.q.out index dc2a476..af5d11a 100644 --- ql/src/test/results/clientpositive/pcs.q.out +++ ql/src/test/results/clientpositive/pcs.q.out @@ -999,7 +999,7 @@ STAGE PLANS: arguments: _col0 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 20 Data size: 160 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/ppd_windowing1.q.out ql/src/test/results/clientpositive/ppd_windowing1.q.out index ad57ba9..1adc8fc 100644 --- ql/src/test/results/clientpositive/ppd_windowing1.q.out +++ ql/src/test/results/clientpositive/ppd_windowing1.q.out @@ -44,7 +44,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -110,7 +110,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -176,7 +176,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -242,7 +242,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -308,7 +308,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: (UDFToInteger(_col0) + 2) (type: int), sum_window_0 (type: double) @@ -374,7 +374,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -440,7 +440,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -506,7 +506,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -572,7 +572,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -638,7 +638,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: (UDFToInteger(_col0) + 2) (type: int), sum_window_0 (type: double) @@ -705,7 +705,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string) @@ -751,7 +751,7 @@ STAGE PLANS: arguments: _col1 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -818,7 +818,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string) @@ -864,7 +864,7 @@ STAGE PLANS: arguments: _col1 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -931,7 +931,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string) @@ -977,7 +977,7 @@ STAGE PLANS: arguments: _col1 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -1044,7 +1044,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string) @@ -1090,7 +1090,7 @@ STAGE PLANS: arguments: _col1 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: (UDFToInteger(_col1) + 2) (type: int), _col0 (type: double), sum_window_1 (type: double) @@ -1157,7 +1157,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string), _col1 (type: string) @@ -1203,7 +1203,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -1270,7 +1270,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string), _col1 (type: string) @@ -1316,7 +1316,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -1383,7 +1383,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string), _col1 (type: string) @@ -1429,7 +1429,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), sum_window_1 (type: double) @@ -1496,7 +1496,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string), _col1 (type: string) @@ -1542,7 +1542,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 166 Data size: 1763 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: (UDFToInteger(_col1) + 2) (type: int), _col0 (type: double), sum_window_1 (type: double) @@ -1606,7 +1606,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: double), _col0 (type: string), _col1 (type: string) @@ -1652,7 +1652,7 @@ STAGE PLANS: arguments: _col2 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col1 (type: string), _col0 (type: double), avg_window_1 (type: double) @@ -1719,7 +1719,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -1786,7 +1786,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), sum_window_0 (type: double) @@ -1852,7 +1852,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), sum_window_0 (type: double) @@ -1919,7 +1919,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), sum_window_0 (type: double) @@ -1986,7 +1986,7 @@ STAGE PLANS: arguments: _col0 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), sum_window_0 (type: double) diff --git ql/src/test/results/clientpositive/ptfgroupbyjoin.q.out ql/src/test/results/clientpositive/ptfgroupbyjoin.q.out index 025ec75..8171f47 100644 --- ql/src/test/results/clientpositive/ptfgroupbyjoin.q.out +++ ql/src/test/results/clientpositive/ptfgroupbyjoin.q.out @@ -243,7 +243,7 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 9 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/quotedid_basic.q.out ql/src/test/results/clientpositive/quotedid_basic.q.out index 8897ae9..83ed387 100644 --- ql/src/test/results/clientpositive/quotedid_basic.q.out +++ ql/src/test/results/clientpositive/quotedid_basic.q.out @@ -217,7 +217,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator @@ -319,7 +319,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/semijoin2.q.out ql/src/test/results/clientpositive/semijoin2.q.out index 757341a..d6a0b90 100644 --- ql/src/test/results/clientpositive/semijoin2.q.out +++ ql/src/test/results/clientpositive/semijoin2.q.out @@ -163,7 +163,7 @@ STAGE PLANS: arguments: COALESCE((- 973),(- 684),515) name: LEAD window function: GenericUDAFLeadEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator @@ -210,7 +210,7 @@ STAGE PLANS: arguments: COALESCE(62,(- 380),(- 435)) name: SUM window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~FOLLOWING(48) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(48) Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: COALESCE(498,_col0,524) (type: int), (_col99 + _col17) (type: int), floor(_col22) (type: bigint), COALESCE(SUM_window_1,704) (type: bigint) diff --git ql/src/test/results/clientpositive/semijoin4.q.out ql/src/test/results/clientpositive/semijoin4.q.out index d6117ed..1cf8c96 100644 --- ql/src/test/results/clientpositive/semijoin4.q.out +++ ql/src/test/results/clientpositive/semijoin4.q.out @@ -175,7 +175,7 @@ STAGE PLANS: arguments: -973 name: LEAD window function: GenericUDAFLeadEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 1 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/semijoin5.q.out ql/src/test/results/clientpositive/semijoin5.q.out index db4f551..7857e3b 100644 --- ql/src/test/results/clientpositive/semijoin5.q.out +++ ql/src/test/results/clientpositive/semijoin5.q.out @@ -172,7 +172,7 @@ STAGE PLANS: arguments: -973 name: LEAD window function: GenericUDAFLeadEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator @@ -219,7 +219,7 @@ STAGE PLANS: arguments: 62 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~FOLLOWING(48) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(48) Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator expressions: COALESCE(498,_col0,524) (type: int), (_col8 + UDFToInteger(_col6)) (type: int), floor(_col4) (type: bigint), COALESCE(sum_window_1,704) (type: bigint) diff --git ql/src/test/results/clientpositive/spark/groupby_resolution.q.out ql/src/test/results/clientpositive/spark/groupby_resolution.q.out index 6352c2b..64c1dca 100644 --- ql/src/test/results/clientpositive/spark/groupby_resolution.q.out +++ ql/src/test/results/clientpositive/spark/groupby_resolution.q.out @@ -678,7 +678,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 83 Data size: 881 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/spark/ptf.q.out ql/src/test/results/clientpositive/spark/ptf.q.out index 2e31fbd..82fc9f8 100644 --- ql/src/test/results/clientpositive/spark/ptf.q.out +++ ql/src/test/results/clientpositive/spark/ptf.q.out @@ -91,21 +91,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -293,7 +293,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -563,21 +563,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -738,21 +738,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -925,21 +925,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col2, 1, _col2 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1409,7 +1409,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1580,21 +1580,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -1751,21 +1751,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -1982,21 +1982,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2163,13 +2163,13 @@ STAGE PLANS: arguments: _col5 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_1 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint), round(sum_window_1, 2) (type: double) @@ -2373,33 +2373,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -2729,7 +2729,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~CURRENT + window frame: ROWS PRECEDING(2)~CURRENT Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), round(sum_window_0, 2) (type: double) @@ -2914,21 +2914,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2966,7 +2966,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(5)~CURRENT + window frame: RANGE PRECEDING(5)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) @@ -3002,28 +3002,28 @@ STAGE PLANS: arguments: _col3, _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 arguments: _col3, _col2 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: cume_dist_window_3 arguments: _col3, _col2 name: cume_dist window function: GenericUDAFCumeDistEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_4 arguments: _col6, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col3 (type: string), _col2 (type: string), _col6 (type: int), UDFToInteger(round(_col0, 1)) (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), cume_dist_window_3 (type: double), first_value_window_4 (type: int) @@ -3402,21 +3402,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -3666,21 +3666,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -3906,21 +3906,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4183,21 +4183,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4442,21 +4442,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) @@ -4688,21 +4688,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) diff --git ql/src/test/results/clientpositive/spark/ptf_streaming.q.out ql/src/test/results/clientpositive/spark/ptf_streaming.q.out index 49892e2..cf36bb1 100644 --- ql/src/test/results/clientpositive/spark/ptf_streaming.q.out +++ ql/src/test/results/clientpositive/spark/ptf_streaming.q.out @@ -91,21 +91,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -293,7 +293,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -607,7 +607,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -778,21 +778,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1009,21 +1009,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1242,21 +1242,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1475,21 +1475,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), sum_window_2 (type: double) @@ -1687,33 +1687,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1960,21 +1960,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -2224,21 +2224,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -2472,21 +2472,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) diff --git ql/src/test/results/clientpositive/spark/subquery_in.q.out ql/src/test/results/clientpositive/spark/subquery_in.q.out index 1a1689b..8bc1783 100644 --- ql/src/test/results/clientpositive/spark/subquery_in.q.out +++ ql/src/test/results/clientpositive/spark/subquery_in.q.out @@ -327,7 +327,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Filter Operator @@ -493,7 +493,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Filter Operator diff --git ql/src/test/results/clientpositive/spark/union_remove_6_subq.q.out ql/src/test/results/clientpositive/spark/union_remove_6_subq.q.out index f2c9911..cb27d91 100644 --- ql/src/test/results/clientpositive/spark/union_remove_6_subq.q.out +++ ql/src/test/results/clientpositive/spark/union_remove_6_subq.q.out @@ -435,7 +435,7 @@ STAGE PLANS: arguments: _col1 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), avg_window_0 (type: double) diff --git ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out index 4972677..1a155b6 100644 --- ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out +++ ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out @@ -179,7 +179,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -210,7 +210,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -235,21 +235,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -456,7 +456,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -487,7 +487,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -512,7 +512,7 @@ STAGE PLANS: arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 17646 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -643,7 +643,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -797,7 +797,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -828,7 +828,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -853,21 +853,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -1010,7 +1010,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1041,7 +1041,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Select Operator @@ -1066,21 +1066,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1226,7 +1226,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1265,7 +1265,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: lag not in supported functions [avg, count, dense_rank, first_value, last_value, max, min, rank, row_number, sum] vectorized: false Reduce Operator Tree: Group By Operator @@ -1291,21 +1291,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: lag_window_2 arguments: _col2, 1, _col2 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -1485,7 +1485,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1724,7 +1724,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1871,7 +1871,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -1902,7 +1902,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -1927,7 +1927,7 @@ STAGE PLANS: arguments: _col1, _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -2061,7 +2061,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2093,7 +2093,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2118,21 +2118,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2271,7 +2271,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2302,7 +2302,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2327,21 +2327,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2483,7 +2483,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2537,7 +2537,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2576,7 +2576,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -2601,21 +2601,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -2764,7 +2764,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -2795,7 +2795,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -2820,13 +2820,13 @@ STAGE PLANS: arguments: _col5 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_1 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint), round(sum_window_1, 2) (type: double) @@ -3021,7 +3021,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3076,7 +3076,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -3101,33 +3101,33 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: count_window_2 arguments: _col1 name: count window function: GenericUDAFCountEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT window function definition alias: sum_window_3 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT window function definition alias: lag_window_4 arguments: _col5, 1, _col5 name: lag window function: GenericUDAFLagEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 28 Data size: 17646 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -3269,7 +3269,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3504,7 +3504,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Group By Operator @@ -3541,7 +3541,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -3566,7 +3566,7 @@ STAGE PLANS: arguments: _col2 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(2)~CURRENT + window frame: ROWS PRECEDING(2)~CURRENT Statistics: Num rows: 13 Data size: 8021 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), round(sum_window_0, 2) (type: double) @@ -3759,7 +3759,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -3784,21 +3784,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col7 name: sum window function: GenericUDAFSumDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) @@ -3816,7 +3816,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum only UNBOUNDED start frame is supported vectorized: false Reduce Operator Tree: Select Operator @@ -3841,7 +3841,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(5)~CURRENT + window frame: RANGE PRECEDING(5)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: sum_window_0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) @@ -3857,7 +3857,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -3882,28 +3882,28 @@ STAGE PLANS: arguments: _col3, _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_2 arguments: _col3, _col2 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: cume_dist_window_3 arguments: _col3, _col2 name: cume_dist window function: GenericUDAFCumeDistEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: first_value_window_4 arguments: _col6, true name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col3 (type: string), _col2 (type: string), _col6 (type: int), UDFToInteger(round(_col0, 1)) (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), cume_dist_window_3 (type: double), first_value_window_4 (type: int) @@ -3921,7 +3921,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -3950,7 +3950,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4210,7 +4210,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4271,7 +4271,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4310,7 +4310,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -4335,21 +4335,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4522,7 +4522,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4560,7 +4560,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4591,7 +4591,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4622,7 +4622,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: sum UNBOUNDED end frame is not supported for ROWS window type vectorized: false Reduce Operator Tree: Select Operator @@ -4647,21 +4647,21 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -4829,7 +4829,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4867,7 +4867,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -4902,15 +4902,29 @@ STAGE PLANS: Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: int) Reducer 4 + Execution mode: vectorized Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -4930,28 +4944,48 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1, col 1, col 2] + functionNames: [rank, dense_rank, sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 1, 0, 2] + outputTypes: [int, int, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3, 4] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3, 4, 2, 5] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat @@ -5113,7 +5147,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5151,7 +5185,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5198,7 +5232,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5230,7 +5264,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -5255,21 +5289,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint) @@ -5439,7 +5473,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5493,7 +5527,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5532,7 +5566,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank vectorized: false Reduce Operator Tree: Select Operator @@ -5557,21 +5591,21 @@ STAGE PLANS: arguments: _col2, _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col2, _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) @@ -5735,7 +5769,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5789,7 +5823,7 @@ STAGE PLANS: Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported + notVectorizedReason: PTF operator: NOOP not supported vectorized: false Reduce Operator Tree: Select Operator @@ -5818,15 +5852,29 @@ STAGE PLANS: Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: int) Reducer 4 + Execution mode: vectorized Reduce Vectorization: enabled: true enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true - notVectorizedReason: PTF Operator (PTF) not supported - vectorized: false + reduceColumnNullOrder: aa + reduceColumnSortOrder: ++ + groupByVectorOutput: true + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:string, VALUE._col3:int + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint, bigint Reduce Operator Tree: Select Operator expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) outputColumnNames: _col1, _col2, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 0, 2] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: @@ -5846,28 +5894,48 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: dense_rank_window_1 arguments: _col1 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true window function definition alias: sum_window_2 arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT + PTF Vectorization: + className: VectorPTFOperator + evaluatorClasses: [VectorPTFEvaluatorRank, VectorPTFEvaluatorDenseRank, VectorPTFEvaluatorLongSum] + functionInputExpressions: [col 1, col 1, col 2] + functionNames: [rank, dense_rank, sum] + keyInputColumns: [1, 0] + native: true + nonKeyInputColumns: [2] + orderExpressions: [col 1] + outputColumns: [3, 4, 5, 1, 0, 2] + outputTypes: [int, int, bigint, string, string, int] + partitionExpressions: [col 0] + streamingColumns: [3, 4] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col5 (type: int), sum_window_2 (type: bigint), sum_window_2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 3, 4, 2, 5, 5] Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false Statistics: Num rows: 26 Data size: 16042 Basic stats: COMPLETE Column stats: NONE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat diff --git ql/src/test/results/clientpositive/spark/windowing.q.out ql/src/test/results/clientpositive/spark/windowing.q.out index d4be0b3..6bd9ce9 100644 --- ql/src/test/results/clientpositive/spark/windowing.q.out +++ ql/src/test/results/clientpositive/spark/windowing.q.out @@ -1864,7 +1864,7 @@ STAGE PLANS: arguments: _col5 name: sum window function: GenericUDAFSumLong - window frame: PRECEDING(2)~FOLLOWING(2) + window frame: ROWS PRECEDING(2)~FOLLOWING(2) Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) diff --git ql/src/test/results/clientpositive/subquery_in_having.q.out ql/src/test/results/clientpositive/subquery_in_having.q.out index 19142e3..627d1b4 100644 --- ql/src/test/results/clientpositive/subquery_in_having.q.out +++ ql/src/test/results/clientpositive/subquery_in_having.q.out @@ -1725,7 +1725,7 @@ STAGE PLANS: arguments: _col1 name: first_value window function: GenericUDAFFirstValueEvaluator - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 15 Data size: 3173 Basic stats: COMPLETE Column stats: NONE Filter Operator predicate: first_value_window_0 is not null (type: boolean) diff --git ql/src/test/results/clientpositive/subquery_unqualcolumnrefs.q.out ql/src/test/results/clientpositive/subquery_unqualcolumnrefs.q.out index b7ef7a0..cc2188c 100644 --- ql/src/test/results/clientpositive/subquery_unqualcolumnrefs.q.out +++ ql/src/test/results/clientpositive/subquery_unqualcolumnrefs.q.out @@ -316,7 +316,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Filter Operator @@ -482,7 +482,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Filter Operator diff --git ql/src/test/results/clientpositive/union_remove_6_subq.q.out ql/src/test/results/clientpositive/union_remove_6_subq.q.out index 5b9e631..5f5f86c 100644 --- ql/src/test/results/clientpositive/union_remove_6_subq.q.out +++ ql/src/test/results/clientpositive/union_remove_6_subq.q.out @@ -525,7 +525,7 @@ STAGE PLANS: arguments: _col1 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: ROWS PRECEDING(MAX)~CURRENT Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: _col0 (type: string), avg_window_0 (type: double) diff --git ql/src/test/results/clientpositive/vector_outer_reference_windowed.q.out ql/src/test/results/clientpositive/vector_outer_reference_windowed.q.out new file mode 100644 index 0000000..d611103 --- /dev/null +++ ql/src/test/results/clientpositive/vector_outer_reference_windowed.q.out @@ -0,0 +1,1221 @@ +PREHOOK: query: DROP TABLE IF EXISTS e011_01 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_01 +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE IF EXISTS e011_02 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_02 +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE IF EXISTS e011_03 +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE IF EXISTS e011_03 +POSTHOOK: type: DROPTABLE +PREHOOK: query: CREATE TABLE e011_01 ( + c1 decimal(15,2), + c2 decimal(15,2)) + STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_01 +POSTHOOK: query: CREATE TABLE e011_01 ( + c1 decimal(15,2), + c2 decimal(15,2)) + STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_01 +PREHOOK: query: CREATE TABLE e011_02 ( + c1 decimal(15,2), + c2 decimal(15,2)) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_02 +POSTHOOK: query: CREATE TABLE e011_02 ( + c1 decimal(15,2), + c2 decimal(15,2)) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_02 +PREHOOK: query: CREATE TABLE e011_03 ( + c1 decimal(15,2), + c2 decimal(15,2)) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@e011_03 +POSTHOOK: query: CREATE TABLE e011_03 ( + c1 decimal(15,2), + c2 decimal(15,2)) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@e011_03 +PREHOOK: query: LOAD DATA + LOCAL INPATH '../../data/files/e011_01.txt' + OVERWRITE + INTO TABLE e011_01 +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@e011_01 +POSTHOOK: query: LOAD DATA + LOCAL INPATH '../../data/files/e011_01.txt' + OVERWRITE + INTO TABLE e011_01 +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@e011_01 +PREHOOK: query: INSERT INTO TABLE e011_02 + SELECT c1, c2 + FROM e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Output: default@e011_02 +POSTHOOK: query: INSERT INTO TABLE e011_02 + SELECT c1, c2 + FROM e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Output: default@e011_02 +POSTHOOK: Lineage: e011_02.c1 SIMPLE [(e011_01)e011_01.FieldSchema(name:c1, type:decimal(15,2), comment:null), ] +POSTHOOK: Lineage: e011_02.c2 SIMPLE [(e011_01)e011_01.FieldSchema(name:c2, type:decimal(15,2), comment:null), ] +c1 c2 +PREHOOK: query: INSERT INTO TABLE e011_03 + SELECT c1, c2 + FROM e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Output: default@e011_03 +POSTHOOK: query: INSERT INTO TABLE e011_03 + SELECT c1, c2 + FROM e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Output: default@e011_03 +POSTHOOK: Lineage: e011_03.c1 SIMPLE [(e011_01)e011_01.FieldSchema(name:c1, type:decimal(15,2), comment:null), ] +POSTHOOK: Lineage: e011_03.c2 SIMPLE [(e011_01)e011_01.FieldSchema(name:c2, type:decimal(15,2), comment:null), ] +c1 c2 +PREHOOK: query: ANALYZE TABLE e011_01 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_01 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: ANALYZE TABLE e011_02 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_02 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_02 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_02 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: ANALYZE TABLE e011_03 COMPUTE STATISTICS FOR COLUMNS +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: ANALYZE TABLE e011_03 COMPUTE STATISTICS FOR COLUMNS +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +_c0 _c1 +PREHOOK: query: explain vectorization detail +select sum(sum(c1)) over() from e011_01 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(c1)) over() from e011_01 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: c1 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0] + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(c1) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 0) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0] + Reduce Output Operator + key expressions: 0 (type: int) + sort order: + + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + includeColumns: [0] + dataColumns: _col0:decimal(25,2) + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 0 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col0 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(c1)) over() from e011_01 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(c1)) over() from e011_01 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +#### A masked pattern was here #### +_c0 +16.00 +PREHOOK: query: explain vectorization detail +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: c1, c2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1] + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(c1) + Group By Vectorization: + aggregators: VectorUDAFSumDecimal(col 0) -> decimal(38,18) + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: c1:decimal(15,2), c2:decimal(15,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:decimal(25,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(c1)) over( + partition by c2 order by c1) + from e011_01 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(15,2)) + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: _col0 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col0) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:decimal(25,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:decimal(25,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_01.c2 order by e011_01.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_01.c1, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(15,2)) + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col0) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col1 (type: decimal(15,2)), _col2 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:decimal(25,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(25,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:decimal(25,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: decimal(15,2)), KEY.reducesinkkey0 (type: decimal(15,2)), VALUE._col0 (type: decimal(25,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: decimal(25,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: decimal(35,2)) + outputColumnNames: _col0 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(sum(e011_01.c1)) over( + partition by e011_03.c2 order by e011_03.c1) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c1, e011_03.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +_c0 +1.00 +3.00 +5.00 +7.00 +PREHOOK: query: explain vectorization detail +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: e011_01 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(15,2)) + TableScan + alias: e011_03 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: c1 is not null (type: boolean) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c1 (type: decimal(15,2)), c2 (type: decimal(15,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)) + sort order: + + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Statistics: Num rows: 4 Data size: 36 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(15,2)) + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: decimal(15,2)) + 1 _col0 (type: decimal(15,2)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: corr(_col0, _col2) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col1 (type: decimal(15,2)), _col3 (type: decimal(15,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: decimal(15,2)), _col1 (type: decimal(15,2)) + sort order: ++ + Map-reduce partition columns: _col0 (type: decimal(15,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4 Data size: 39 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: struct) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:decimal(15,2), _col1:decimal(15,2), _col2:struct + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: corr(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: decimal(15,2)), KEY._col1 (type: decimal(15,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: decimal(15,2)), _col0 (type: decimal(15,2)), _col2 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: decimal(15,2), _col1: decimal(15,2), _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 2 Data size: 19 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +PREHOOK: type: QUERY +PREHOOK: Input: default@e011_01 +PREHOOK: Input: default@e011_03 +#### A masked pattern was here #### +POSTHOOK: query: select sum(corr(e011_01.c1, e011_03.c1)) + over(partition by e011_01.c2 order by e011_03.c2) + from e011_01 + join e011_03 on e011_01.c1 = e011_03.c1 + group by e011_03.c2, e011_01.c2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@e011_01 +POSTHOOK: Input: default@e011_03 +#### A masked pattern was here #### +sum_window_0 +NULL +NULL +NULL +NULL diff --git ql/src/test/results/clientpositive/vector_ptf_part_simple.q.out ql/src/test/results/clientpositive/vector_ptf_part_simple.q.out new file mode 100644 index 0000000..8f968f3 --- /dev/null +++ ql/src/test/results/clientpositive/vector_ptf_part_simple.q.out @@ -0,0 +1,2895 @@ +PREHOOK: query: create table vector_ptf_part_simple_text(p_mfgr string, p_name string, p_retailprice double) + ROW FORMAT DELIMITED + FIELDS TERMINATED BY '\t' + STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@vector_ptf_part_simple_text +POSTHOOK: query: create table vector_ptf_part_simple_text(p_mfgr string, p_name string, p_retailprice double) + ROW FORMAT DELIMITED + FIELDS TERMINATED BY '\t' + STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@vector_ptf_part_simple_text +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/vector_ptf_part_simple.txt' OVERWRITE INTO TABLE vector_ptf_part_simple_text +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@vector_ptf_part_simple_text +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/vector_ptf_part_simple.txt' OVERWRITE INTO TABLE vector_ptf_part_simple_text +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@vector_ptf_part_simple_text +PREHOOK: query: create table vector_ptf_part_simple_orc(p_mfgr string, p_name string, p_retailprice double) stored as orc +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@vector_ptf_part_simple_orc +POSTHOOK: query: create table vector_ptf_part_simple_orc(p_mfgr string, p_name string, p_retailprice double) stored as orc +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@vector_ptf_part_simple_orc +PREHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc SELECT * FROM vector_ptf_part_simple_text +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_text +PREHOOK: Output: default@vector_ptf_part_simple_orc +POSTHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc SELECT * FROM vector_ptf_part_simple_text +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_text +POSTHOOK: Output: default@vector_ptf_part_simple_orc +POSTHOOK: Lineage: vector_ptf_part_simple_orc.p_mfgr SIMPLE [(vector_ptf_part_simple_text)vector_ptf_part_simple_text.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc.p_name SIMPLE [(vector_ptf_part_simple_text)vector_ptf_part_simple_text.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc.p_retailprice SIMPLE [(vector_ptf_part_simple_text)vector_ptf_part_simple_text.FieldSchema(name:p_retailprice, type:double, comment:null), ] +vector_ptf_part_simple_text.p_mfgr vector_ptf_part_simple_text.p_name vector_ptf_part_simple_text.p_retailprice +PREHOOK: query: select * from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select * from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +vector_ptf_part_simple_orc.p_mfgr vector_ptf_part_simple_orc.p_name vector_ptf_part_simple_orc.p_retailprice +Manufacturer#2 almond aquamarine rose maroon antique 900.66 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 +Manufacturer#5 almond antique medium spring khaki 1611.66 +Manufacturer#5 almond antique blue firebrick mint 1789.69 +Manufacturer#1 almond antique burnished rose metallic 1173.15 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 +Manufacturer#3 almond antique forest lavender goldenrod NULL +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 +Manufacturer#4 almond antique violet mint lemon 1375.42 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 +Manufacturer#5 almond antique sky peru orange 1788.73 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 +Manufacturer#3 almond antique chartreuse khaki white 99.68 +Manufacturer#4 almond antique gainsboro frosted violet NULL +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 +Manufacturer#3 almond antique olive coral navajo 1337.29 +Manufacturer#5 almond antique medium spring khaki 1611.66 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 +Manufacturer#3 almond antique misty red olive 1922.98 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 +Manufacturer#4 almond aquamarine floral ivory bisque NULL +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 +Manufacturer#3 almond antique metallic orange dim 55.39 +Manufacturer#1 almond antique burnished rose metallic 1173.15 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr) as rn, +rank() over(partition by p_mfgr) as r, +dense_rank() over(partition by p_mfgr) as dr, +first_value(p_retailprice) over(partition by p_mfgr) as fv, +last_value(p_retailprice) over(partition by p_mfgr) as lv, +count(p_retailprice) over(partition by p_mfgr) as c, +count(*) over(partition by p_mfgr) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr) as rn, +rank() over(partition by p_mfgr) as r, +dense_rank() over(partition by p_mfgr) as dr, +first_value(p_retailprice) over(partition by p_mfgr) as fv, +last_value(p_retailprice) over(partition by p_mfgr) as lv, +count(p_retailprice) over(partition by p_mfgr) as c, +count(*) over(partition by p_mfgr) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col0 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col0 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr) as rn, +rank() over(partition by p_mfgr) as r, +dense_rank() over(partition by p_mfgr) as dr, +first_value(p_retailprice) over(partition by p_mfgr) as fv, +last_value(p_retailprice) over(partition by p_mfgr) as lv, +count(p_retailprice) over(partition by p_mfgr) as c, +count(*) over(partition by p_mfgr) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr) as rn, +rank() over(partition by p_mfgr) as r, +dense_rank() over(partition by p_mfgr) as dr, +first_value(p_retailprice) over(partition by p_mfgr) as fv, +last_value(p_retailprice) over(partition by p_mfgr) as lv, +count(p_retailprice) over(partition by p_mfgr) as c, +count(*) over(partition by p_mfgr) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 2 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 4 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique burnished rose metallic 1173.15 6 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique burnished rose metallic 1173.15 7 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 8 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 9 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 10 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 11 1 1 1753.76 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 1 1 1753.76 1632.66 11 12 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 1 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 2 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 3 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 5 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 6 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7 1 1 900.66 1698.66 8 8 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 8 1 1 900.66 1698.66 8 8 +Manufacturer#3 almond antique olive coral navajo 1337.29 1 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique metallic orange dim 55.39 4 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique misty red olive 1922.98 5 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 7 1 1 1337.29 99.68 7 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 8 1 1 1337.29 99.68 7 8 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 1 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 2 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond antique gainsboro frosted violet NULL 3 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 4 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond antique violet mint lemon 1375.42 5 1 1 1290.35 1206.26 4 6 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 6 1 1 1290.35 1206.26 4 6 +Manufacturer#5 almond antique sky peru orange 1788.73 1 1 1 1788.73 1018.1 6 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 2 1 1 1788.73 1018.1 6 6 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 3 1 1 1788.73 1018.1 6 6 +Manufacturer#5 almond antique medium spring khaki 1611.66 4 1 1 1788.73 1018.1 6 6 +Manufacturer#5 almond antique medium spring khaki 1611.66 5 1 1 1788.73 1018.1 6 6 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 6 1 1 1788.73 1018.1 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name) as rn, +rank() over(partition by p_mfgr order by p_name) as r, +dense_rank() over(partition by p_mfgr order by p_name) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name) as c, +count(*) over(partition by p_mfgr order by p_name) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 2 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod NULL 5 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: rank_window_1 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_2 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: first_value_window_3 + arguments: _col2 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_4 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_5 + arguments: _col2 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: count_window_6 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), row_number_window_0 (type: int), rank_window_1 (type: int), dense_rank_window_2 (type: int), first_value_window_3 (type: double), last_value_window_4 (type: double), count_window_5 (type: bigint), count_window_6 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +row_number() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as rn, +rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as r, +dense_rank() over(partition by p_mfgr order by p_name range between unbounded preceding and unbounded following) as dr, +first_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as fv, +last_value(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as lv, +count(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as c, +count(*) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as cs +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice rn r dr fv lv c cs +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2 1 1 1173.15 1173.15 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 6 3 2 1173.15 1753.76 6 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 7 3 1173.15 1602.59 7 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 8 4 1173.15 1414.42 8 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 10 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 11 9 5 1173.15 1632.66 11 12 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 12 9 5 1173.15 1632.66 11 12 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 1 1 1690.68 1690.68 1 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 4 2 2 1690.68 1800.7 4 4 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 5 3 1690.68 2031.98 5 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 7 6 4 1690.68 1698.66 7 7 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 8 5 1690.68 1000.6 8 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 1 1 99.68 99.68 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 2 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 4 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique forest lavender goldenrod NULL 5 2 2 99.68 NULL 4 5 +Manufacturer#3 almond antique metallic orange dim 55.39 6 6 3 99.68 55.39 5 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 7 4 99.68 1922.98 6 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 8 5 99.68 1337.29 7 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 1 1 NULL NULL 0 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 2 2 NULL 1375.42 1 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 4 3 3 NULL 1206.26 2 4 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 5 4 NULL 1844.92 3 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 6 5 NULL 1290.35 4 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 1 1 1789.69 1789.69 1 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique medium spring khaki 1611.66 3 2 2 1789.69 1611.66 3 3 +Manufacturer#5 almond antique sky peru orange 1788.73 4 4 3 1789.69 1788.73 4 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 5 4 1789.69 1018.1 5 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 6 5 1789.69 1464.48 6 6 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique burnished rose metallic 1173.15 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 12724.68 900.66 2031.98 1590.585 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique forest lavender goldenrod NULL 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique metallic orange dim 55.39 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique misty red olive 1922.98 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#3 almond antique chartreuse khaki white 99.68 6386.1500000000015 55.39 1922.98 912.307142857143 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique gainsboro frosted violet NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond antique violet mint lemon 1375.42 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique sky peru orange 1788.73 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique blue firebrick mint 1789.69 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond antique medium spring khaki 1611.66 9284.32 1018.1 1789.69 1547.3866666666665 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name range between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.780000000001 1690.68 1800.7 1773.1950000000002 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), sum_window_0 (type: double), min_window_1 (type: double), max_window_2 (type: double), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name rows between unbounded preceding and current row) as av +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.15 1173.15 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 1173.15 2346.3 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 4100.06 1173.15 1753.76 1366.6866666666667 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 5853.820000000001 1173.15 1753.76 1463.4550000000002 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 7607.580000000001 1173.15 1753.76 1521.516 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 9361.34 1173.15 1753.76 1560.2233333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 10963.93 1173.15 1753.76 1566.2757142857142 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 12378.35 1173.15 1753.76 1547.29375 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 14011.01 1173.15 1753.76 1556.778888888889 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 14011.01 1173.15 1753.76 1556.778888888889 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 15643.67 1173.15 1753.76 1564.367 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 17276.33 1173.15 1753.76 1570.5754545454547 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1690.68 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 3491.38 1690.68 1800.7 1745.69 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 5292.08 1690.68 1800.7 1764.0266666666666 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 7092.78 1690.68 1800.7 1773.195 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 9124.76 1690.68 2031.98 1824.952 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 10025.42 900.66 2031.98 1670.9033333333334 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 11724.08 900.66 2031.98 1674.8685714285714 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 12724.68 900.66 2031.98 1590.585 +Manufacturer#3 almond antique chartreuse khaki white 99.68 99.68 99.68 99.68 99.68 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1289.95 99.68 1190.27 644.975 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 1880.22 99.68 1190.27 626.74 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.49 99.68 1190.27 767.6225 +Manufacturer#3 almond antique metallic orange dim 55.39 3125.8799999999997 55.39 1190.27 625.1759999999999 +Manufacturer#3 almond antique misty red olive 1922.98 5048.86 55.39 1922.98 841.4766666666666 +Manufacturer#3 almond antique olive coral navajo 1337.29 6386.15 55.39 1922.98 912.3071428571428 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.42 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 1375.42 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 2581.6800000000003 1206.26 1375.42 1290.8400000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 4426.6 1206.26 1844.92 1475.5333333333335 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 5716.950000000001 1206.26 1844.92 1429.2375000000002 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1789.69 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 1611.66 3401.3500000000004 1611.66 1789.69 1700.6750000000002 +Manufacturer#5 almond antique medium spring khaki 1611.66 5013.01 1611.66 1789.69 1671.0033333333333 +Manufacturer#5 almond antique sky peru orange 1788.73 6801.74 1611.66 1789.69 1700.435 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 7819.84 1018.1 1789.69 1563.968 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 9284.32 1018.1 1789.69 1547.3866666666665 +PREHOOK: query: create table vector_ptf_part_simple_text_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) + ROW FORMAT DELIMITED + FIELDS TERMINATED BY '\t' + STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@vector_ptf_part_simple_text_decimal +POSTHOOK: query: create table vector_ptf_part_simple_text_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) + ROW FORMAT DELIMITED + FIELDS TERMINATED BY '\t' + STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@vector_ptf_part_simple_text_decimal +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/vector_ptf_part_simple.txt' OVERWRITE INTO TABLE vector_ptf_part_simple_text_decimal +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@vector_ptf_part_simple_text_decimal +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/vector_ptf_part_simple.txt' OVERWRITE INTO TABLE vector_ptf_part_simple_text_decimal +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@vector_ptf_part_simple_text_decimal +PREHOOK: query: create table vector_ptf_part_simple_orc_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) stored as orc +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@vector_ptf_part_simple_orc_decimal +POSTHOOK: query: create table vector_ptf_part_simple_orc_decimal(p_mfgr string, p_name string, p_retailprice decimal(38,18)) stored as orc +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@vector_ptf_part_simple_orc_decimal +PREHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc_decimal SELECT * FROM vector_ptf_part_simple_text_decimal +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_text_decimal +PREHOOK: Output: default@vector_ptf_part_simple_orc_decimal +POSTHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc_decimal SELECT * FROM vector_ptf_part_simple_text_decimal +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_text_decimal +POSTHOOK: Output: default@vector_ptf_part_simple_orc_decimal +POSTHOOK: Lineage: vector_ptf_part_simple_orc_decimal.p_mfgr SIMPLE [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc_decimal.p_name SIMPLE [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc_decimal.p_retailprice SIMPLE [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_retailprice, type:decimal(38,18), comment:null), ] +vector_ptf_part_simple_text_decimal.p_mfgr vector_ptf_part_simple_text_decimal.p_name vector_ptf_part_simple_text_decimal.p_retailprice +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_decimal +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_decimal +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc_decimal + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: decimal(38,18)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:decimal(38,18) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: decimal(38,18)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: decimal(38,18) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDecimal + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(38,18)), sum_window_0 (type: decimal(38,18)), min_window_1 (type: decimal(38,18)), max_window_2 (type: decimal(38,18)), avg_window_3 (type: decimal(38,18)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_decimal +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc_decimal +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr) as s, +min(p_retailprice) over(partition by p_mfgr) as mi, +max(p_retailprice) over(partition by p_mfgr) as ma, +avg(p_retailprice) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_decimal +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc_decimal +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique burnished rose metallic 1173.150000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique burnished rose metallic 1173.150000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine burnished black steel 1414.420000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.590000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#2 almond aquamarine rose maroon antique 900.660000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond aquamarine midnight light salmon 2031.980000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.600000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond antique violet chocolate turquoise 1690.680000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#2 almond aquamarine rose maroon antique 1698.660000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#3 almond antique olive coral navajo 1337.290000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique forest lavender goldenrod 590.270000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique forest lavender goldenrod NULL 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique metallic orange dim 55.390000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique misty red olive 1922.980000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique forest lavender goldenrod 1190.270000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique forest lavender goldenrod 1190.270000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#3 almond antique chartreuse khaki white 99.680000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#4 almond azure aquamarine papaya violet 1290.350000000000000000 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.920000000000000000 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#4 almond antique gainsboro frosted violet NULL 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#4 almond antique violet mint lemon 1375.420000000000000000 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.260000000000000000 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#5 almond antique sky peru orange 1788.730000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +Manufacturer#5 almond antique blue firebrick mint 1789.690000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +Manufacturer#5 almond azure blanched chiffon midnight 1464.480000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +Manufacturer#5 almond antique medium spring khaki 1611.660000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +Manufacturer#5 almond antique medium spring khaki 1611.660000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.100000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_decimal +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_decimal +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc_decimal + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: decimal(38,18)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:decimal(38,18) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(38,18)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: decimal(38,18) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDecimal + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(38,18)), sum_window_0 (type: decimal(38,18)), min_window_1 (type: decimal(38,18)), max_window_2 (type: decimal(38,18)), avg_window_3 (type: decimal(38,18)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 12792 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_decimal +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc_decimal +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_retailprice, +sum(p_retailprice) over(partition by p_mfgr order by p_name) as s, +min(p_retailprice) over(partition by p_mfgr order by p_name) as mi, +max(p_retailprice) over(partition by p_mfgr order by p_name) as ma, +avg(p_retailprice) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_decimal +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc_decimal +#### A masked pattern was here #### +p_mfgr p_name p_retailprice s mi ma av +Manufacturer#1 almond antique burnished rose metallic 1173.150000000000000000 2346.300000000000000000 1173.150000000000000000 1173.150000000000000000 1173.150000000000000000 +Manufacturer#1 almond antique burnished rose metallic 1173.150000000000000000 2346.300000000000000000 1173.150000000000000000 1173.150000000000000000 1173.150000000000000000 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 9361.340000000000000000 1173.150000000000000000 1753.760000000000000000 1560.223333333333333333 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 9361.340000000000000000 1173.150000000000000000 1753.760000000000000000 1560.223333333333333333 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 9361.340000000000000000 1173.150000000000000000 1753.760000000000000000 1560.223333333333333333 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.760000000000000000 9361.340000000000000000 1173.150000000000000000 1753.760000000000000000 1560.223333333333333333 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.590000000000000000 10963.930000000000000000 1173.150000000000000000 1753.760000000000000000 1566.275714285714285714 +Manufacturer#1 almond aquamarine burnished black steel 1414.420000000000000000 12378.350000000000000000 1173.150000000000000000 1753.760000000000000000 1547.293750000000000000 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.660000000000000000 17276.330000000000000000 1173.150000000000000000 1753.760000000000000000 1570.575454545454545455 +Manufacturer#2 almond antique violet chocolate turquoise 1690.680000000000000000 1690.680000000000000000 1690.680000000000000000 1690.680000000000000000 1690.680000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 7092.780000000000000000 1690.680000000000000000 1800.700000000000000000 1773.195000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 7092.780000000000000000 1690.680000000000000000 1800.700000000000000000 1773.195000000000000000 +Manufacturer#2 almond antique violet turquoise frosted 1800.700000000000000000 7092.780000000000000000 1690.680000000000000000 1800.700000000000000000 1773.195000000000000000 +Manufacturer#2 almond aquamarine midnight light salmon 2031.980000000000000000 9124.760000000000000000 1690.680000000000000000 2031.980000000000000000 1824.952000000000000000 +Manufacturer#2 almond aquamarine rose maroon antique 900.660000000000000000 11724.080000000000000000 900.660000000000000000 2031.980000000000000000 1674.868571428571428571 +Manufacturer#2 almond aquamarine rose maroon antique 1698.660000000000000000 11724.080000000000000000 900.660000000000000000 2031.980000000000000000 1674.868571428571428571 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.600000000000000000 12724.680000000000000000 900.660000000000000000 2031.980000000000000000 1590.585000000000000000 +Manufacturer#3 almond antique chartreuse khaki white 99.680000000000000000 99.680000000000000000 99.680000000000000000 99.680000000000000000 99.680000000000000000 +Manufacturer#3 almond antique forest lavender goldenrod 1190.270000000000000000 3070.490000000000000000 99.680000000000000000 1190.270000000000000000 767.622500000000000000 +Manufacturer#3 almond antique forest lavender goldenrod 590.270000000000000000 3070.490000000000000000 99.680000000000000000 1190.270000000000000000 767.622500000000000000 +Manufacturer#3 almond antique forest lavender goldenrod 1190.270000000000000000 3070.490000000000000000 99.680000000000000000 1190.270000000000000000 767.622500000000000000 +Manufacturer#3 almond antique forest lavender goldenrod NULL 3070.490000000000000000 99.680000000000000000 1190.270000000000000000 767.622500000000000000 +Manufacturer#3 almond antique metallic orange dim 55.390000000000000000 3125.880000000000000000 55.390000000000000000 1190.270000000000000000 625.176000000000000000 +Manufacturer#3 almond antique misty red olive 1922.980000000000000000 5048.860000000000000000 55.390000000000000000 1922.980000000000000000 841.476666666666666667 +Manufacturer#3 almond antique olive coral navajo 1337.290000000000000000 6386.150000000000000000 55.390000000000000000 1922.980000000000000000 912.307142857142857143 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 1375.420000000000000000 1375.420000000000000000 1375.420000000000000000 1375.420000000000000000 1375.420000000000000000 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 2581.680000000000000000 1206.260000000000000000 1375.420000000000000000 1290.840000000000000000 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.260000000000000000 2581.680000000000000000 1206.260000000000000000 1375.420000000000000000 1290.840000000000000000 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.920000000000000000 4426.600000000000000000 1206.260000000000000000 1844.920000000000000000 1475.533333333333333333 +Manufacturer#4 almond azure aquamarine papaya violet 1290.350000000000000000 5716.950000000000000000 1206.260000000000000000 1844.920000000000000000 1429.237500000000000000 +Manufacturer#5 almond antique blue firebrick mint 1789.690000000000000000 1789.690000000000000000 1789.690000000000000000 1789.690000000000000000 1789.690000000000000000 +Manufacturer#5 almond antique medium spring khaki 1611.660000000000000000 5013.010000000000000000 1611.660000000000000000 1789.690000000000000000 1671.003333333333333333 +Manufacturer#5 almond antique medium spring khaki 1611.660000000000000000 5013.010000000000000000 1611.660000000000000000 1789.690000000000000000 1671.003333333333333333 +Manufacturer#5 almond antique sky peru orange 1788.730000000000000000 6801.740000000000000000 1611.660000000000000000 1789.690000000000000000 1700.435000000000000000 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.100000000000000000 7819.840000000000000000 1018.100000000000000000 1789.690000000000000000 1563.968000000000000000 +Manufacturer#5 almond azure blanched chiffon midnight 1464.480000000000000000 9284.320000000000000000 1018.100000000000000000 1789.690000000000000000 1547.386666666666666667 +PREHOOK: query: create table vector_ptf_part_simple_orc_long(p_mfgr string, p_name string, p_bigint bigint) stored as orc +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@vector_ptf_part_simple_orc_long +POSTHOOK: query: create table vector_ptf_part_simple_orc_long(p_mfgr string, p_name string, p_bigint bigint) stored as orc +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@vector_ptf_part_simple_orc_long +PREHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc_long SELECT p_mfgr, p_name, cast(p_retailprice * 100 as bigint) FROM vector_ptf_part_simple_text_decimal +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_text_decimal +PREHOOK: Output: default@vector_ptf_part_simple_orc_long +POSTHOOK: query: INSERT INTO TABLE vector_ptf_part_simple_orc_long SELECT p_mfgr, p_name, cast(p_retailprice * 100 as bigint) FROM vector_ptf_part_simple_text_decimal +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_text_decimal +POSTHOOK: Output: default@vector_ptf_part_simple_orc_long +POSTHOOK: Lineage: vector_ptf_part_simple_orc_long.p_bigint EXPRESSION [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_retailprice, type:decimal(38,18), comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc_long.p_mfgr SIMPLE [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: vector_ptf_part_simple_orc_long.p_name SIMPLE [(vector_ptf_part_simple_text_decimal)vector_ptf_part_simple_text_decimal.FieldSchema(name:p_name, type:string, comment:null), ] +p_mfgr p_name _c2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr) as s, +min(p_bigint) over(partition by p_mfgr) as mi, +max(p_bigint) over(partition by p_mfgr) as ma, +avg(p_bigint) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_long +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr) as s, +min(p_bigint) over(partition by p_mfgr) as mi, +max(p_bigint) over(partition by p_mfgr) as ma, +avg(p_bigint) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_long +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc_long + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_bigint (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_bigint:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), sum_window_0 (type: bigint), min_window_1 (type: bigint), max_window_2 (type: bigint), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr) as s, +min(p_bigint) over(partition by p_mfgr) as mi, +max(p_bigint) over(partition by p_mfgr) as ma, +avg(p_bigint) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_long +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc_long +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr) as s, +min(p_bigint) over(partition by p_mfgr) as mi, +max(p_bigint) over(partition by p_mfgr) as ma, +avg(p_bigint) over(partition by p_mfgr) as av +from vector_ptf_part_simple_orc_long +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc_long +#### A masked pattern was here #### +p_mfgr p_name p_bigint s mi ma av +Manufacturer#1 almond antique chartreuse lavender yellow 175376 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique burnished rose metallic 117315 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique burnished rose metallic 117315 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine burnished black steel 141442 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond antique salmon chartreuse burlywood 160259 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#2 almond aquamarine rose maroon antique 90066 1272468 90066 203198 159058.5 +Manufacturer#2 almond aquamarine midnight light salmon 203198 1272468 90066 203198 159058.5 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 100060 1272468 90066 203198 159058.5 +Manufacturer#2 almond antique violet turquoise frosted 180070 1272468 90066 203198 159058.5 +Manufacturer#2 almond antique violet turquoise frosted 180070 1272468 90066 203198 159058.5 +Manufacturer#2 almond antique violet chocolate turquoise 169068 1272468 90066 203198 159058.5 +Manufacturer#2 almond antique violet turquoise frosted 180070 1272468 90066 203198 159058.5 +Manufacturer#2 almond aquamarine rose maroon antique 169866 1272468 90066 203198 159058.5 +Manufacturer#3 almond antique olive coral navajo 133729 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique forest lavender goldenrod 59027 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique forest lavender goldenrod NULL 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique metallic orange dim 5539 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique misty red olive 192298 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique forest lavender goldenrod 119027 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique forest lavender goldenrod 119027 638615 5539 192298 91230.71428571429 +Manufacturer#3 almond antique chartreuse khaki white 9968 638615 5539 192298 91230.71428571429 +Manufacturer#4 almond azure aquamarine papaya violet 129035 571695 120626 184492 142923.75 +Manufacturer#4 almond aquamarine yellow dodger mint 184492 571695 120626 184492 142923.75 +Manufacturer#4 almond antique gainsboro frosted violet NULL 571695 120626 184492 142923.75 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 571695 120626 184492 142923.75 +Manufacturer#4 almond antique violet mint lemon 137542 571695 120626 184492 142923.75 +Manufacturer#4 almond aquamarine floral ivory bisque 120626 571695 120626 184492 142923.75 +Manufacturer#5 almond antique sky peru orange 178873 928432 101810 178969 154738.66666666666 +Manufacturer#5 almond antique blue firebrick mint 178969 928432 101810 178969 154738.66666666666 +Manufacturer#5 almond azure blanched chiffon midnight 146448 928432 101810 178969 154738.66666666666 +Manufacturer#5 almond antique medium spring khaki 161166 928432 101810 178969 154738.66666666666 +Manufacturer#5 almond antique medium spring khaki 161166 928432 101810 178969 154738.66666666666 +Manufacturer#5 almond aquamarine dodger light gainsboro 101810 928432 101810 178969 154738.66666666666 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr order by p_name) as s, +min(p_bigint) over(partition by p_mfgr order by p_name) as mi, +max(p_bigint) over(partition by p_mfgr order by p_name) as ma, +avg(p_bigint) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_long +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr order by p_name) as s, +min(p_bigint) over(partition by p_mfgr order by p_name) as mi, +max(p_bigint) over(partition by p_mfgr order by p_name) as ma, +avg(p_bigint) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_long +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc_long + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_bigint (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_bigint:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_2 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), sum_window_0 (type: bigint), min_window_1 (type: bigint), max_window_2 (type: bigint), avg_window_3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr order by p_name) as s, +min(p_bigint) over(partition by p_mfgr order by p_name) as mi, +max(p_bigint) over(partition by p_mfgr order by p_name) as ma, +avg(p_bigint) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_long +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc_long +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_bigint, +sum(p_bigint) over(partition by p_mfgr order by p_name) as s, +min(p_bigint) over(partition by p_mfgr order by p_name) as mi, +max(p_bigint) over(partition by p_mfgr order by p_name) as ma, +avg(p_bigint) over(partition by p_mfgr order by p_name) as av +from vector_ptf_part_simple_orc_long +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc_long +#### A masked pattern was here #### +p_mfgr p_name p_bigint s mi ma av +Manufacturer#1 almond antique burnished rose metallic 117315 234630 117315 117315 117315.0 +Manufacturer#1 almond antique burnished rose metallic 117315 234630 117315 117315 117315.0 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 936134 117315 175376 156022.33333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 936134 117315 175376 156022.33333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 936134 117315 175376 156022.33333333334 +Manufacturer#1 almond antique chartreuse lavender yellow 175376 936134 117315 175376 156022.33333333334 +Manufacturer#1 almond antique salmon chartreuse burlywood 160259 1096393 117315 175376 156627.57142857142 +Manufacturer#1 almond aquamarine burnished black steel 141442 1237835 117315 175376 154729.375 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#1 almond aquamarine pink moccasin thistle 163266 1727633 117315 175376 157057.54545454544 +Manufacturer#2 almond antique violet chocolate turquoise 169068 169068 169068 169068 169068.0 +Manufacturer#2 almond antique violet turquoise frosted 180070 709278 169068 180070 177319.5 +Manufacturer#2 almond antique violet turquoise frosted 180070 709278 169068 180070 177319.5 +Manufacturer#2 almond antique violet turquoise frosted 180070 709278 169068 180070 177319.5 +Manufacturer#2 almond aquamarine midnight light salmon 203198 912476 169068 203198 182495.2 +Manufacturer#2 almond aquamarine rose maroon antique 90066 1172408 90066 203198 167486.85714285713 +Manufacturer#2 almond aquamarine rose maroon antique 169866 1172408 90066 203198 167486.85714285713 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 100060 1272468 90066 203198 159058.5 +Manufacturer#3 almond antique chartreuse khaki white 9968 9968 9968 9968 9968.0 +Manufacturer#3 almond antique forest lavender goldenrod 119027 307049 9968 119027 76762.25 +Manufacturer#3 almond antique forest lavender goldenrod 59027 307049 9968 119027 76762.25 +Manufacturer#3 almond antique forest lavender goldenrod 119027 307049 9968 119027 76762.25 +Manufacturer#3 almond antique forest lavender goldenrod NULL 307049 9968 119027 76762.25 +Manufacturer#3 almond antique metallic orange dim 5539 312588 5539 119027 62517.6 +Manufacturer#3 almond antique misty red olive 192298 504886 5539 192298 84147.66666666667 +Manufacturer#3 almond antique olive coral navajo 133729 638615 5539 192298 91230.71428571429 +Manufacturer#4 almond antique gainsboro frosted violet NULL NULL NULL NULL NULL +Manufacturer#4 almond antique violet mint lemon 137542 137542 137542 137542 137542.0 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 258168 120626 137542 129084.0 +Manufacturer#4 almond aquamarine floral ivory bisque 120626 258168 120626 137542 129084.0 +Manufacturer#4 almond aquamarine yellow dodger mint 184492 442660 120626 184492 147553.33333333334 +Manufacturer#4 almond azure aquamarine papaya violet 129035 571695 120626 184492 142923.75 +Manufacturer#5 almond antique blue firebrick mint 178969 178969 178969 178969 178969.0 +Manufacturer#5 almond antique medium spring khaki 161166 501301 161166 178969 167100.33333333334 +Manufacturer#5 almond antique medium spring khaki 161166 501301 161166 178969 167100.33333333334 +Manufacturer#5 almond antique sky peru orange 178873 680174 161166 178969 170043.5 +Manufacturer#5 almond aquamarine dodger light gainsboro 101810 781984 101810 178969 156396.8 +Manufacturer#5 almond azure blanched chiffon midnight 146448 928432 101810 178969 154738.66666666666 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col0 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col2 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_retailprice r +Manufacturer#1 1753.76 1 +Manufacturer#1 NULL 1 +Manufacturer#1 1753.76 1 +Manufacturer#1 1632.66 1 +Manufacturer#1 1753.76 1 +Manufacturer#1 1173.15 1 +Manufacturer#1 1173.15 1 +Manufacturer#1 1632.66 1 +Manufacturer#1 1414.42 1 +Manufacturer#1 1753.76 1 +Manufacturer#1 1602.59 1 +Manufacturer#1 1632.66 1 +Manufacturer#2 900.66 1 +Manufacturer#2 2031.98 1 +Manufacturer#2 1000.6 1 +Manufacturer#2 1800.7 1 +Manufacturer#2 1800.7 1 +Manufacturer#2 1690.68 1 +Manufacturer#2 1800.7 1 +Manufacturer#2 1698.66 1 +Manufacturer#3 1337.29 1 +Manufacturer#3 590.27 1 +Manufacturer#3 NULL 1 +Manufacturer#3 55.39 1 +Manufacturer#3 1922.98 1 +Manufacturer#3 1190.27 1 +Manufacturer#3 1190.27 1 +Manufacturer#3 99.68 1 +Manufacturer#4 1290.35 1 +Manufacturer#4 1844.92 1 +Manufacturer#4 NULL 1 +Manufacturer#4 NULL 1 +Manufacturer#4 1375.42 1 +Manufacturer#4 1206.26 1 +Manufacturer#5 1788.73 1 +Manufacturer#5 1789.69 1 +Manufacturer#5 1464.48 1 +Manufacturer#5 1611.66 1 +Manufacturer#5 1611.66 1 +Manufacturer#5 1018.1 1 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr order by p_name) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr order by p_name) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col2 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr order by p_name) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, +rank() over(partition by p_mfgr order by p_name) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_retailprice r +Manufacturer#1 1173.15 1 +Manufacturer#1 1173.15 1 +Manufacturer#1 1753.76 3 +Manufacturer#1 1753.76 3 +Manufacturer#1 1753.76 3 +Manufacturer#1 1753.76 3 +Manufacturer#1 1602.59 7 +Manufacturer#1 1414.42 8 +Manufacturer#1 1632.66 9 +Manufacturer#1 NULL 9 +Manufacturer#1 1632.66 9 +Manufacturer#1 1632.66 9 +Manufacturer#2 1690.68 1 +Manufacturer#2 1800.7 2 +Manufacturer#2 1800.7 2 +Manufacturer#2 1800.7 2 +Manufacturer#2 2031.98 5 +Manufacturer#2 900.66 6 +Manufacturer#2 1698.66 6 +Manufacturer#2 1000.6 8 +Manufacturer#3 99.68 1 +Manufacturer#3 1190.27 2 +Manufacturer#3 590.27 2 +Manufacturer#3 1190.27 2 +Manufacturer#3 NULL 2 +Manufacturer#3 55.39 6 +Manufacturer#3 1922.98 7 +Manufacturer#3 1337.29 8 +Manufacturer#4 NULL 1 +Manufacturer#4 1375.42 2 +Manufacturer#4 NULL 3 +Manufacturer#4 1206.26 3 +Manufacturer#4 1844.92 5 +Manufacturer#4 1290.35 6 +Manufacturer#5 1789.69 1 +Manufacturer#5 1611.66 2 +Manufacturer#5 1611.66 2 +Manufacturer#5 1788.73 4 +Manufacturer#5 1018.1 5 +Manufacturer#5 1464.48 6 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), CASE WHEN ((p_mfgr = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END (type: timestamp) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string), CASE WHEN ((p_mfgr = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, timestamp, timestamp + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST, CASE WHEN ((_col0 = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END ASC NULLS FIRST + partition by: _col0, CASE WHEN ((_col0 = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col0, CASE WHEN ((_col0 = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice r +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 1 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 1 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 1 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 1 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 1 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 1 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 1 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 1 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 1 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 1 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 1 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 1 +Manufacturer#3 almond antique olive coral navajo 1337.29 1 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 1 +Manufacturer#3 almond antique forest lavender goldenrod NULL 1 +Manufacturer#3 almond antique metallic orange dim 55.39 1 +Manufacturer#3 almond antique misty red olive 1922.98 1 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 1 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 1 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 1 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 1 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 1 +Manufacturer#5 almond antique sky peru orange 1788.73 1 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 1 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 1 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end order by p_name) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end order by p_name) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: vector_ptf_part_simple_orc + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: p_mfgr (type: string), CASE WHEN ((p_mfgr = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END (type: timestamp), p_name (type: string) + sort order: +++ + Map-reduce partition columns: p_mfgr (type: string), CASE WHEN ((p_mfgr = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: p_mfgr:string, p_name:string, p_retailprice:double + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, timestamp, timestamp + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0, CASE WHEN ((_col0 = 'Manufacturer#2')) THEN (2000-01-01 00:00:00.0) ELSE (null) END + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 40 Data size: 9048 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end order by p_name) as r +from vector_ptf_part_simple_orc +PREHOOK: type: QUERY +PREHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_retailprice, +rank() over(partition by p_mfgr, case when p_mfgr == "Manufacturer#2" then timestamp "2000-01-01 00:00:00" end order by p_name) as r +from vector_ptf_part_simple_orc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@vector_ptf_part_simple_orc +#### A masked pattern was here #### +p_mfgr p_name p_retailprice r +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 +Manufacturer#1 almond antique burnished rose metallic 1173.15 1 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 +Manufacturer#1 almond antique chartreuse lavender yellow 1753.76 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 1602.59 7 +Manufacturer#1 almond aquamarine burnished black steel 1414.42 8 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 +Manufacturer#1 almond aquamarine pink moccasin thistle NULL 9 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 +Manufacturer#1 almond aquamarine pink moccasin thistle 1632.66 9 +Manufacturer#2 almond antique violet chocolate turquoise 1690.68 1 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 +Manufacturer#2 almond antique violet turquoise frosted 1800.7 2 +Manufacturer#2 almond aquamarine midnight light salmon 2031.98 5 +Manufacturer#2 almond aquamarine rose maroon antique 900.66 6 +Manufacturer#2 almond aquamarine rose maroon antique 1698.66 6 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1000.6 8 +Manufacturer#3 almond antique chartreuse khaki white 99.68 1 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 2 +Manufacturer#3 almond antique forest lavender goldenrod 590.27 2 +Manufacturer#3 almond antique forest lavender goldenrod 1190.27 2 +Manufacturer#3 almond antique forest lavender goldenrod NULL 2 +Manufacturer#3 almond antique metallic orange dim 55.39 6 +Manufacturer#3 almond antique misty red olive 1922.98 7 +Manufacturer#3 almond antique olive coral navajo 1337.29 8 +Manufacturer#4 almond antique gainsboro frosted violet NULL 1 +Manufacturer#4 almond antique violet mint lemon 1375.42 2 +Manufacturer#4 almond aquamarine floral ivory bisque NULL 3 +Manufacturer#4 almond aquamarine floral ivory bisque 1206.26 3 +Manufacturer#4 almond aquamarine yellow dodger mint 1844.92 5 +Manufacturer#4 almond azure aquamarine papaya violet 1290.35 6 +Manufacturer#5 almond antique blue firebrick mint 1789.69 1 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 +Manufacturer#5 almond antique medium spring khaki 1611.66 2 +Manufacturer#5 almond antique sky peru orange 1788.73 4 +Manufacturer#5 almond aquamarine dodger light gainsboro 1018.1 5 +Manufacturer#5 almond azure blanched chiffon midnight 1464.48 6 diff --git ql/src/test/results/clientpositive/vector_windowing.q.out ql/src/test/results/clientpositive/vector_windowing.q.out new file mode 100644 index 0000000..12cd4cc --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing.q.out @@ -0,0 +1,9149 @@ +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + outputColumnNames: p_name, p_mfgr, p_size, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 5, 7] + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name)as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size _c3 r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColGreaterLongScalar(col 5, val 0) -> boolean + predicate: (p_size > 0) (type: boolean) + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice), +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size _c3 r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), count_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name cd +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique chartreuse lavender yellow 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 +Manufacturer#1 almond aquamarine burnished black steel 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 +Manufacturer#2 almond antique violet chocolate turquoise 1 +Manufacturer#2 almond antique violet turquoise frosted 2 +Manufacturer#2 almond aquamarine midnight light salmon 3 +Manufacturer#2 almond aquamarine rose maroon antique 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 +Manufacturer#3 almond antique chartreuse khaki white 1 +Manufacturer#3 almond antique forest lavender goldenrod 2 +Manufacturer#3 almond antique metallic orange dim 3 +Manufacturer#3 almond antique misty red olive 4 +Manufacturer#3 almond antique olive coral navajo 5 +Manufacturer#4 almond antique gainsboro frosted violet 1 +Manufacturer#4 almond antique violet mint lemon 2 +Manufacturer#4 almond aquamarine floral ivory bisque 3 +Manufacturer#4 almond aquamarine yellow dodger mint 4 +Manufacturer#4 almond azure aquamarine papaya violet 5 +Manufacturer#5 almond antique blue firebrick mint 1 +Manufacturer#5 almond antique medium spring khaki 2 +Manufacturer#5 almond antique sky peru orange 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 +Manufacturer#5 almond azure blanched chiffon midnight 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_2 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_3 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_4 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), count_window_2 (type: bigint), _col7 (type: double), round(sum_window_3, 2) (type: double), _col5 (type: int), (_col5 - lag_window_4) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name r dr cd p_retailprice s1 p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 1173.15 2346.3 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 3 1753.76 4100.06 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 4 1602.59 5702.65 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 5 4 5 1414.42 7117.07 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 6 1632.66 8749.73 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 3 2031.98 5523.36 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 5 1290.35 7337.62 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 2 1611.66 3401.35 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 5 1464.48 7672.66 23 -23 +PREHOOK: query: explain vectorization detail +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_2 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_3 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_4 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), count_window_2 (type: bigint), round(sum_window_3, 2) (type: double), (_col5 - lag_window_4) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select sub1.r, sub1.dr, sub1.cd, sub1.s1, sub1.deltaSz +from (select p_mfgr, p_name, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +count(p_size) over(distribute by p_mfgr sort by p_name) as cd, +p_retailprice, round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +) sub1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sub1.r sub1.dr sub1.cd sub1.s1 sub1.deltasz +1 1 1 1620.67 0 +1 1 1 1671.68 0 +1 1 1 1690.68 0 +1 1 1 1789.69 0 +1 1 2 1173.15 0 +1 1 2 2346.3 0 +2 2 2 2861.95 -3 +2 2 2 2996.09 29 +2 2 2 3401.35 -25 +2 2 2 3491.38 26 +3 2 3 4100.06 32 +3 3 3 4202.35 -12 +3 3 3 4272.34 5 +3 3 3 5190.08 -4 +3 3 3 5523.36 -38 +4 3 4 5702.65 -28 +4 4 4 6047.27 -20 +4 4 4 6195.32 -18 +4 4 4 6208.18 44 +4 4 4 7222.02 23 +5 4 5 7117.07 22 +5 5 5 7337.62 5 +5 5 5 7532.61 44 +5 5 5 7672.66 -23 +5 5 5 8923.62 -7 +6 5 6 8749.73 14 +PREHOOK: query: explain vectorization detail +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_partkey (type: int), p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [0, 1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: part + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + type: TABLE + Partition table definition + input alias: abc + name: noop + order by: _col1 ASC NULLS FIRST + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + partition by: _col2 + raw input shape: + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: _col0 is not null (type: boolean) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + TableScan + alias: p1 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 p_partkey (type: int) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + value expressions: _col5 (type: int), _col7 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col1:string, _col2:string, _col5:int, _col7:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: lag_window_3 + arguments: _col5, 1, _col5 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col7 (type: double), round(sum_window_2, 2) (type: double), _col5 (type: int), (_col5 - lag_window_3) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 28 Data size: 3461 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over(distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over(distribute by abc.p_mfgr sort by abc.p_name) as dr, +abc.p_retailprice, round(sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row),2) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over(distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +abc.p_mfgr abc.p_name r dr abc.p_retailprice s1 abc.p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 2346.3 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 3519.45 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 1173.15 4692.6 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 5 2 1753.76 6446.36 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3 1602.59 8048.95 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 7 4 1414.42 9463.37 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 8 5 1632.66 11096.03 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 2031.98 5523.36 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 1290.35 7337.62 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 1611.66 3401.35 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 1464.48 7672.66 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_size (type: int) + sort order: ++- + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col5 DESC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1, _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name, p_size desc) as R +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr s1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + window function definition + alias: first_value_window_1 + arguments: _col5 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: last_value_window_2 + arguments: _col5, false + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), first_value_window_1 (type: int), last_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s2 f l +Manufacturer#1 almond antique burnished rose metallic 2 2 2 34 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 2 28 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 2 42 +Manufacturer#1 almond aquamarine burnished black steel 28 28 34 42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 6 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 2 +Manufacturer#2 almond antique violet turquoise frosted 40 40 14 25 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 14 18 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 40 18 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 2 18 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 19 17 45 +Manufacturer#3 almond antique misty red olive 1 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 45 19 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 27 +Manufacturer#4 almond antique violet mint lemon 39 39 10 7 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 10 12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 39 12 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 27 12 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 2 +Manufacturer#5 almond antique medium spring khaki 6 6 31 46 +Manufacturer#5 almond antique sky peru orange 2 2 31 23 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 6 23 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 2 23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#3) -> boolean + predicate: (p_mfgr = 'Manufacturer#3') (type: boolean) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 'Manufacturer#3' (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#3' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), VALUE._col4 (type: int) + outputColumnNames: _col1, _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 'Manufacturer#3' + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + window function definition + alias: first_value_window_2 + arguments: _col5 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: last_value_window_3 + arguments: _col5, false + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: 'Manufacturer#3' (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), sum_window_1 (type: bigint), first_value_window_2 (type: int), last_value_window_3 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2, +first_value(p_size) over w1 as f, +last_value(p_size, false) over w1 as l +from part +where p_mfgr = 'Manufacturer#3' +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r s2 f l +Manufacturer#3 almond antique chartreuse khaki white 17 1 17 17 19 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 14 17 1 +Manufacturer#3 almond antique metallic orange dim 19 3 19 17 45 +Manufacturer#3 almond antique misty red olive 1 4 1 14 45 +Manufacturer#3 almond antique olive coral navajo 45 5 45 19 45 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS CURRENT~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over (distribute by p_mfgr sort by p_name rows between current row and current row) as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 38 2 +Manufacturer#1 almond antique burnished rose metallic 2 44 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 6 +Manufacturer#1 almond aquamarine burnished black steel 28 110 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 18 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 14 +Manufacturer#3 almond antique metallic orange dim 19 96 19 +Manufacturer#3 almond antique misty red olive 1 79 1 +Manufacturer#3 almond antique olive coral navajo 45 65 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 12 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 6 +Manufacturer#5 almond antique sky peru orange 2 108 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, dense_rank() over(distribute by p_mfgr sort by p_name) as dr +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 +Manufacturer#3 almond antique metallic orange dim 19 3 3 +Manufacturer#3 almond antique misty red olive 1 4 4 +Manufacturer#3 almond antique olive coral navajo 45 5 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 +Manufacturer#4 almond antique violet mint lemon 39 2 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 +Manufacturer#5 almond antique medium spring khaki 6 2 2 +Manufacturer#5 almond antique sky peru orange 2 3 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: percent_rank_window_3 + arguments: _col1 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: ntile_window_4 + arguments: 3 + name: ntile + window function: GenericUDAFNTileEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: count_window_5 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_6 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: stddev_window_7 + arguments: _col5 + name: stddev + window function: GenericUDAFStdEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: first_value_window_8 + arguments: (_col5 % 5) + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_9 + arguments: _col5 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), percent_rank_window_3 (type: double), ntile_window_4 (type: int), count_window_5 (type: bigint), avg_window_6 (type: double), stddev_window_7 (type: double), first_value_window_8 (type: int), last_value_window_9 (type: int), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, percent_rank_window_3, ntile_window_4, count_window_5, avg_window_6, stddev_window_7, first_value_window_8, last_value_window_9, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), percent_rank_window_3 (type: double), ntile_window_4 (type: int), count_window_5 (type: bigint), avg_window_6 (type: double), stddev_window_7 (type: double), first_value_window_8 (type: int), last_value_window_9 (type: int), _col5 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 13 + includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12] + dataColumns: rank_window_0:int, dense_rank_window_1:int, cume_dist_window_2:double, percent_rank_window_3:double, ntile_window_4:int, count_window_5:bigint, avg_window_6:double, stddev_window_7:double, first_value_window_8:int, last_value_window_9:int, _col1:string, _col2:string, _col5:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: int), VALUE._col5 (type: bigint), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: int), VALUE._col9 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col13 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col11, _col12, _col15 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col3: double, _col4: int, _col5: bigint, _col6: double, _col7: double, _col8: int, _col9: int, _col11: string, _col12: string, _col15: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col12 ASC NULLS FIRST, _col11 ASC NULLS FIRST + partition by: _col12 + raw input shape: + window functions: + window function definition + alias: first_value_window_10 + arguments: _col15 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col12 (type: string), _col11 (type: string), _col15 (type: int), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: double), _col4 (type: int), _col5 (type: bigint), _col6 (type: double), _col7 (type: double), _col8 (type: int), _col9 (type: int), first_value_window_10 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +percent_rank() over(distribute by p_mfgr sort by p_name) as pr, +ntile(3) over(distribute by p_mfgr sort by p_name) as nt, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +avg(p_size) over(distribute by p_mfgr sort by p_name) as avg, +stddev(p_size) over(distribute by p_mfgr sort by p_name) as st, +first_value(p_size % 5) over(distribute by p_mfgr sort by p_name) as fv, +last_value(p_size) over(distribute by p_mfgr sort by p_name) as lv, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr cud pr nt ca avg st fv lv fvw1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 0.0 1 2 2.0 0.0 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 0.4 2 3 12.666666666666666 15.084944665313014 2 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 0.6 2 4 11.0 13.379088160259652 2 6 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 0.8 3 5 14.4 13.763720427268202 2 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 1.0 3 6 19.0 16.237815945091466 2 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 0.0 1 1 14.0 0.0 4 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 0.25 1 2 27.0 13.0 4 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 0.5 2 3 18.666666666666668 15.86050300449376 4 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 0.75 2 4 20.25 14.00669482783144 4 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 1.0 3 5 19.8 12.560254774486067 4 18 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 0.0 1 1 17.0 0.0 2 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 0.25 1 2 15.5 1.5 2 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 0.5 2 3 16.666666666666668 2.0548046676563256 2 19 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 0.75 2 4 12.75 7.013380069552769 2 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 1.0 3 5 19.2 14.344336861632886 2 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 0.0 1 1 10.0 0.0 0 10 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 0.25 1 2 24.5 14.5 0 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 0.5 2 3 25.333333333333332 11.897712198383164 0 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 0.75 2 4 20.75 13.007209539328564 0 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 1.0 3 5 19.0 12.149074038789951 0 12 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 0.0 1 1 31.0 0.0 1 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 0.25 1 2 18.5 12.5 1 6 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 0.5 2 3 13.0 12.832251036613439 1 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 0.75 2 4 21.25 18.102140757380052 1 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 1.0 3 5 21.6 16.206171663906314 1 23 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_3 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), sum_window_3 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, sum_window_3, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Reduce Output Operator + key expressions: _col2 (type: string), _col5 (type: int) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), sum_window_3 (type: bigint), _col1 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 7 + includeColumns: [0, 1, 2, 3, 4, 5, 6] + dataColumns: rank_window_0:int, dense_rank_window_1:int, cume_dist_window_2:double, sum_window_3:bigint, _col1:string, _col2:string, _col5:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col3 (type: bigint), VALUE._col5 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col3: bigint, _col5: string, _col6: string, _col9: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: sum_window_4 + arguments: _col9 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(5)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_4 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: bigint), _col5 (type: string), _col6 (type: string), _col9 (type: int) + outputColumnNames: sum_window_4, _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7] + Reduce Output Operator + key expressions: _col6 (type: string), _col5 (type: string) + sort order: ++ + Map-reduce partition columns: _col6 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_4 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col3 (type: bigint), _col9 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 8 + includeColumns: [0, 1, 2, 3, 4, 5, 6, 7] + dataColumns: sum_window_4:bigint, _col0:int, _col1:int, _col2:double, _col3:bigint, _col5:string, _col6:string, _col9:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: double), VALUE._col4 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col8 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6, _col7, _col10 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: int, _col2: int, _col3: double, _col4: bigint, _col6: string, _col7: string, _col10: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col6 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: first_value_window_5 + arguments: _col10 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col6 (type: string), _col10 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: double), _col4 (type: bigint), _col0 (type: bigint), first_value_window_5 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, + rank() over(distribute by p_mfgr sort by p_name) as r, + dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +sum(p_size) over (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row) as s2, +first_value(p_size) over w1 as fv1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r dr cud s1 s2 fv1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0.3333333333333333 4 4 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0.5 38 34 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0.6666666666666666 44 10 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0.8333333333333334 72 28 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1.0 114 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0.2 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0.4 54 40 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0.6 56 2 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0.8 81 25 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1.0 99 32 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0.2 17 31 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0.4 31 14 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0.6 50 50 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0.8 51 1 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1.0 96 45 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0.2 10 17 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0.4 49 39 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0.6 76 27 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0.8 83 7 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1.0 95 29 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0.2 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0.4 37 8 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0.6 39 2 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0.8 85 46 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1.0 108 23 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + window function definition + alias: count_window_1 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: count_window_0, count_window_1, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col5 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2, 3, 4] + dataColumns: count_window_0:bigint, count_window_1:bigint, _col1:string, _col2:string, _col5:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int) + outputColumnNames: _col0, _col1, _col3, _col4, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: bigint, _col3: string, _col4: string, _col7: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: first_value_window_2 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), _col0 (type: bigint), _col1 (type: bigint), first_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name ) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fvW1 +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size c ca fvw1 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 4 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 5 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 6 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 17 +Manufacturer#3 almond antique misty red olive 1 4 4 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 2 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: max_window_2 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: avg_window_3 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double), min_window_1 (type: double), max_window_2 (type: double), round(avg_window_3, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) over w1 as mi, +max(p_retailprice) over w1 as ma, +round(avg(p_retailprice) over w1,2) as ag +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s mi ma ag +Manufacturer#1 almond antique burnished rose metallic 2 4100.06 1173.15 1753.76 1366.69 +Manufacturer#1 almond antique burnished rose metallic 2 5702.65 1173.15 1753.76 1425.66 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.07 1173.15 1753.76 1423.41 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 7576.58 1173.15 1753.76 1515.32 +Manufacturer#1 almond aquamarine burnished black steel 28 6403.43 1414.42 1753.76 1600.86 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 4649.67 1414.42 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 5523.36 1690.68 2031.98 1841.12 +Manufacturer#2 almond antique violet turquoise frosted 40 7222.02 1690.68 2031.98 1805.51 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 1690.68 2031.98 1784.72 +Manufacturer#2 almond aquamarine rose maroon antique 25 7232.94 1698.66 2031.98 1808.24 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5432.24 1698.66 2031.98 1810.75 +Manufacturer#3 almond antique chartreuse khaki white 17 4272.34 1190.27 1671.68 1424.11 +Manufacturer#3 almond antique forest lavender goldenrod 14 6195.32 1190.27 1922.98 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 7532.61 1190.27 1922.98 1506.52 +Manufacturer#3 almond antique misty red olive 1 5860.93 1190.27 1922.98 1465.23 +Manufacturer#3 almond antique olive coral navajo 45 4670.66 1337.29 1922.98 1556.89 +Manufacturer#4 almond antique gainsboro frosted violet 10 4202.35 1206.26 1620.67 1400.78 +Manufacturer#4 almond antique violet mint lemon 39 6047.27 1206.26 1844.92 1511.82 +Manufacturer#4 almond aquamarine floral ivory bisque 27 7337.62 1206.26 1844.92 1467.52 +Manufacturer#4 almond aquamarine yellow dodger mint 7 5716.95 1206.26 1844.92 1429.24 +Manufacturer#4 almond azure aquamarine papaya violet 12 4341.53 1206.26 1844.92 1447.18 +Manufacturer#5 almond antique blue firebrick mint 31 5190.08 1611.66 1789.69 1730.03 +Manufacturer#5 almond antique medium spring khaki 6 6208.18 1018.1 1789.69 1552.05 +Manufacturer#5 almond antique sky peru orange 2 7672.66 1018.1 1789.69 1534.53 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 5882.97 1018.1 1788.73 1470.74 +Manufacturer#5 almond azure blanched chiffon midnight 23 4271.31 1018.1 1788.73 1423.77 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + outputColumnNames: p_name, p_mfgr, p_size, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [1, 2, 5, 7] + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(p_retailprice), max(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double, VectorUDAFMaxDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 1, col 2, col 5, col 7 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1] + keys: p_name (type: string), p_mfgr (type: string), p_size (type: int), p_retailprice (type: double) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double) + sort order: ++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: _col4 (type: double), _col5 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0), max(VALUE._col1) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: double) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col0 (type: string), _col2 (type: int), _col3 (type: double), _col4 (type: double), _col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5] + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: int), _col3 (type: double), _col4 (type: double), _col5 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + includeColumns: [0, 1, 2, 3, 4, 5] + dataColumns: _col0:string, _col1:string, _col2:int, _col3:double, _col4:double, _col5:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double, _col4: double, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: avg_window_1 + arguments: _col3 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), round(sum_window_0, 2) (type: double), _col4 (type: double), _col5 (type: double), round(avg_window_1, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, p_retailprice, +round(sum(p_retailprice) over w1,2) as s, +min(p_retailprice) as mi , +max(p_retailprice) as ma , +round(avg(p_retailprice) over w1,2) as ag +from part +group by p_mfgr,p_name, p_size, p_retailprice +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size p_retailprice s mi ma ag +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 4529.5 1173.15 1173.15 1509.83 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 5943.92 1753.76 1753.76 1485.98 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 7576.58 1602.59 1602.59 1515.32 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 6403.43 1414.42 1414.42 1600.86 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 4649.67 1632.66 1632.66 1549.89 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 5523.36 1690.68 1690.68 1841.12 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 7222.02 1800.7 1800.7 1805.51 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 8923.62 2031.98 2031.98 1784.72 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 7232.94 1698.66 1698.66 1808.24 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5432.24 1701.6 1701.6 1810.75 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 4272.34 1671.68 1671.68 1424.11 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 6195.32 1190.27 1190.27 1548.83 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 7532.61 1410.39 1410.39 1506.52 +Manufacturer#3 almond antique misty red olive 1 1922.98 5860.93 1922.98 1922.98 1465.23 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 4670.66 1337.29 1337.29 1556.89 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 4202.35 1620.67 1620.67 1400.78 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 6047.27 1375.42 1375.42 1511.82 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 7337.62 1206.26 1206.26 1467.52 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 5716.95 1844.92 1844.92 1429.24 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 4341.53 1290.35 1290.35 1447.18 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 5190.08 1789.69 1789.69 1730.03 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 6208.18 1611.66 1611.66 1552.05 +Manufacturer#5 almond antique sky peru orange 2 1788.73 7672.66 1788.73 1788.73 1534.53 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 5882.97 1018.1 1018.1 1470.74 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 4271.31 1464.48 1464.48 1423.77 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: stddev_window_0 + arguments: _col7 + name: stddev + window function: GenericUDAFStdEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: stddev_pop_window_1 + arguments: _col7 + name: stddev_pop + window function: GenericUDAFStdEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: collect_set_window_2 + arguments: _col5 + name: collect_set + window function: GenericUDAFMkCollectionEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: variance_window_3 + arguments: _col7 + name: variance + window function: GenericUDAFVarianceEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: corr_window_4 + arguments: _col5, _col7 + name: corr + window function: GenericUDAFCorrelationEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: covar_pop_window_5 + arguments: _col5, _col7 + name: covar_pop + window function: GenericUDAFCovarianceEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), stddev_window_0 (type: double), stddev_pop_window_1 (type: double), collect_set_window_2 (type: array), variance_window_3 (type: double), round(corr_window_4, 5) (type: double), covar_pop_window_5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +stddev(p_retailprice) over w1 as sdev, +stddev_pop(p_retailprice) over w1 as sdev_pop, +collect_set(p_size) over w1 as uniq_size, +variance(p_retailprice) over w1 as var, +round(corr(p_size, p_retailprice) over w1,5) as cor, +covar_pop(p_size, p_retailprice) over w1 as covarp +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size sdev sdev_pop uniq_size var cor covarp +Manufacturer#1 almond antique burnished rose metallic 2 258.10677784349235 258.10677784349235 [2,34,6] 66619.10876874991 0.81133 2801.7074999999995 +Manufacturer#1 almond antique burnished rose metallic 2 273.70217881648074 273.70217881648074 [2,34] 74912.8826888888 1.0 4128.782222222221 +Manufacturer#1 almond antique chartreuse lavender yellow 34 230.90151585470358 230.90151585470358 [2,34,6,28] 53315.51002399992 0.69564 2210.7864 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 202.73109328368946 202.73109328368946 [2,34,6,28,42] 41099.896184 0.63079 2009.9536000000007 +Manufacturer#1 almond aquamarine burnished black steel 28 121.6064517973862 121.6064517973862 [34,6,28,42] 14788.129118750014 0.20367 331.1337500000004 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 96.5751586416853 96.5751586416853 [6,28,42] 9326.761266666683 -1.4E-4 -0.20666666666708502 +Manufacturer#2 almond antique violet chocolate turquoise 14 142.2363169751898 142.2363169751898 [14,40,2] 20231.169866666663 -0.4937 -1113.7466666666658 +Manufacturer#2 almond antique violet turquoise frosted 40 137.76306498840682 137.76306498840682 [14,40,2,25] 18978.662075 -0.52056 -1004.4812499999995 +Manufacturer#2 almond aquamarine midnight light salmon 2 130.03972279269132 130.03972279269132 [14,40,2,25,18] 16910.329504000005 -0.46909 -766.1791999999995 +Manufacturer#2 almond aquamarine rose maroon antique 25 135.55100986344584 135.55100986344584 [40,2,25,18] 18374.07627499999 -0.60914 -1128.1787499999987 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 156.44019460768044 156.44019460768044 [2,25,18] 24473.534488888927 -0.95717 -1441.4466666666676 +Manufacturer#3 almond antique chartreuse khaki white 17 196.7742266885805 196.7742266885805 [17,14,19] 38720.09628888887 0.55572 224.6944444444446 +Manufacturer#3 almond antique forest lavender goldenrod 14 275.14144189852607 275.14144189852607 [17,14,19,1] 75702.81305 -0.67208 -1296.9000000000003 +Manufacturer#3 almond antique metallic orange dim 19 260.23473614412046 260.23473614412046 [17,14,19,1,45] 67722.117896 -0.57035 -2129.0664 +Manufacturer#3 almond antique misty red olive 1 275.9139962356932 275.9139962356932 [14,19,1,45] 76128.53331875012 -0.57748 -2547.7868749999993 +Manufacturer#3 almond antique olive coral navajo 45 260.5815918713796 260.5815918713796 [19,1,45] 67902.76602222225 -0.87107 -4099.731111111111 +Manufacturer#4 almond antique gainsboro frosted violet 10 170.13011889596618 170.13011889596618 [10,39,27] 28944.25735555559 -0.6657 -1347.4777777777779 +Manufacturer#4 almond antique violet mint lemon 39 242.26834609323197 242.26834609323197 [10,39,27,7] 58693.95151875002 -0.80519 -2537.328125 +Manufacturer#4 almond aquamarine floral ivory bisque 27 234.10001662537326 234.10001662537326 [10,39,27,7,12] 54802.817784000035 -0.60469 -1719.8079999999995 +Manufacturer#4 almond aquamarine yellow dodger mint 7 247.3342714197732 247.3342714197732 [39,27,7,12] 61174.24181875003 -0.55087 -1719.0368749999975 +Manufacturer#4 almond azure aquamarine papaya violet 12 283.3344330566893 283.3344330566893 [27,7,12] 80278.40095555557 -0.77557 -1867.4888888888881 +Manufacturer#5 almond antique blue firebrick mint 31 83.69879024746363 83.69879024746363 [31,6,2] 7005.487488888913 0.39004 418.9233333333353 +Manufacturer#5 almond antique medium spring khaki 6 316.68049612345885 316.68049612345885 [31,6,2,46] 100286.53662500004 -0.71361 -4090.853749999999 +Manufacturer#5 almond antique sky peru orange 2 285.40506298242155 285.40506298242155 [31,6,2,46,23] 81456.04997600002 -0.71286 -3297.2011999999986 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 285.43749038756283 285.43749038756283 [6,2,46,23] 81474.56091875004 -0.98413 -4871.028125000002 +Manufacturer#5 almond azure blanched chiffon midnight 23 315.9225931564038 315.9225931564038 [2,46,23] 99807.08486666664 -0.99789 -5664.856666666666 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_partkey (type: int), p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [0, 1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: histogram_numeric_window_0 + arguments: _col7, 5 + name: histogram_numeric + window function: GenericUDAFHistogramNumericEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: percentile_window_1 + arguments: _col0, 0.5 + name: percentile + window function: GenericUDAFBridgeEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: row_number_window_2 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), histogram_numeric_window_0 (type: array>), percentile_window_1 (type: double), row_number_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +histogram_numeric(p_retailprice, 5) over w1 as hist, +percentile(p_partkey, 0.5) over w1 as per, +row_number() over(distribute by p_mfgr sort by p_mfgr, p_name) as rn +from part +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size hist per rn +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 115872.0 2 +Manufacturer#1 almond antique burnished rose metallic 2 [{"x":1173.15,"y":2.0},{"x":1753.76,"y":1.0}] 121152.0 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 [{"x":1173.15,"y":2.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1753.76,"y":1.0}] 110592.0 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 [{"x":1173.15,"y":1.0},{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86428.0 4 +Manufacturer#1 almond aquamarine burnished black steel 28 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0},{"x":1753.76,"y":1.0}] 86098.0 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 [{"x":1414.42,"y":1.0},{"x":1602.59,"y":1.0},{"x":1632.66,"y":1.0}] 86428.0 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 [{"x":1690.68,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 1 +Manufacturer#2 almond antique violet turquoise frosted 40 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 139825.5 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 [{"x":1690.68,"y":1.0},{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":1800.7,"y":1.0},{"x":2031.98,"y":1.0}] 169347.0 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 [{"x":1698.66,"y":1.0},{"x":1701.6,"y":1.0},{"x":2031.98,"y":1.0}] 146985.0 5 +Manufacturer#3 almond antique chartreuse khaki white 17 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0}] 90681.0 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 [{"x":1190.27,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 65831.5 2 +Manufacturer#3 almond antique metallic orange dim 19 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1671.68,"y":1.0},{"x":1922.98,"y":1.0}] 90681.0 3 +Manufacturer#3 almond antique misty red olive 1 [{"x":1190.27,"y":1.0},{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 76690.0 4 +Manufacturer#3 almond antique olive coral navajo 45 [{"x":1337.29,"y":1.0},{"x":1410.39,"y":1.0},{"x":1922.98,"y":1.0}] 112398.0 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0}] 48427.0 1 +Manufacturer#4 almond antique violet mint lemon 39 [{"x":1206.26,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 46844.0 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1620.67,"y":1.0},{"x":1844.92,"y":1.0}] 45261.0 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1375.42,"y":1.0},{"x":1844.92,"y":1.0}] 39309.0 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 [{"x":1206.26,"y":1.0},{"x":1290.35,"y":1.0},{"x":1844.92,"y":1.0}] 33357.0 5 +Manufacturer#5 almond antique blue firebrick mint 31 [{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 155733.0 1 +Manufacturer#5 almond antique medium spring khaki 6 [{"x":1018.1,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 99201.0 2 +Manufacturer#5 almond antique sky peru orange 2 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0},{"x":1789.69,"y":1.0}] 78486.0 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1611.66,"y":1.0},{"x":1788.73,"y":1.0}] 60577.5 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 [{"x":1018.1,"y":1.0},{"x":1464.48,"y":1.0},{"x":1788.73,"y":1.0}] 78486.0 5 +PREHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +PREHOOK: type: CREATEVIEW +POSTHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +POSTHOOK: type: CREATEVIEW +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + +STAGE PLANS: + Stage: Stage-1 + Create View Operator: + Create View + if not exists: true + or replace: false + columns: p_mfgr string, p_brand string, s double + expanded text: select `part`.`p_mfgr`, `part`.`p_brand`, +round(sum(`part`.`p_retailprice`),2) as `s` +from `default`.`part` +group by `part`.`p_mfgr`, `part`.`p_brand` + name: default.mfgr_price_view + original text: select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand + rewrite enabled: false + +PREHOOK: query: create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +PREHOOK: type: CREATEVIEW +PREHOOK: Input: default@part +PREHOOK: Output: database:default +PREHOOK: Output: default@mfgr_price_view +POSTHOOK: query: create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice),2) as s +from part +group by p_mfgr, p_brand +POSTHOOK: type: CREATEVIEW +POSTHOOK: Input: default@part +POSTHOOK: Output: database:default +POSTHOOK: Output: default@mfgr_price_view +POSTHOOK: Lineage: mfgr_price_view.p_brand SIMPLE [(part)part.FieldSchema(name:p_brand, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_price_view.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_price_view.s EXPRESSION [(part)part.FieldSchema(name:p_retailprice, type:double, comment:null), ] +p_mfgr p_brand s +PREHOOK: query: explain vectorization detail +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + properties: + insideView TRUE + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Select Operator + expressions: p_mfgr (type: string), p_brand (type: string), p_retailprice (type: double) + outputColumnNames: p_mfgr, p_brand, p_retailprice + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [2, 3, 7] + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 3 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_brand (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 3, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: round(_col2, 2) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), round(_col2, 2) (type: double), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: double), _col3 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col0:string, _col1:string, _col2:double, _col3:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( +select p_mfgr, p_brand, s, +round(sum(s) over w1 , 2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_mfgr ) +) sq +order by p_mfgr, p_brand +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sq.p_mfgr sq.p_brand sq.s sq.s1 +Manufacturer#1 Brand#12 4800.84 8749.73 +Manufacturer#1 Brand#14 2346.3 8749.73 +Manufacturer#1 Brand#15 1602.59 8749.73 +Manufacturer#2 Brand#22 3491.38 8923.62 +Manufacturer#2 Brand#23 2031.98 8923.62 +Manufacturer#2 Brand#24 1698.66 8923.62 +Manufacturer#2 Brand#25 1701.6 8923.62 +Manufacturer#3 Brand#31 1671.68 7532.61 +Manufacturer#3 Brand#32 3333.37 7532.61 +Manufacturer#3 Brand#34 1337.29 7532.61 +Manufacturer#3 Brand#35 1190.27 7532.61 +Manufacturer#4 Brand#41 4755.94 7337.62 +Manufacturer#4 Brand#42 2581.68 7337.62 +Manufacturer#5 Brand#51 1611.66 7672.66 +Manufacturer#5 Brand#52 3254.17 7672.66 +Manufacturer#5 Brand#53 2806.83 7672.66 +PREHOOK: query: select p_mfgr, p_brand, s, +round(sum(s) over w1 ,2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_brand rows between 2 preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_brand, s, +round(sum(s) over w1 ,2) as s1 +from mfgr_price_view +window w1 as (distribute by p_mfgr sort by p_brand rows between 2 preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_brand s s1 +Manufacturer#1 Brand#12 4800.84 4800.84 +Manufacturer#1 Brand#14 2346.3 7147.14 +Manufacturer#1 Brand#15 1602.59 8749.73 +Manufacturer#2 Brand#22 3491.38 3491.38 +Manufacturer#2 Brand#23 2031.98 5523.36 +Manufacturer#2 Brand#24 1698.66 7222.02 +Manufacturer#2 Brand#25 1701.6 5432.24 +Manufacturer#3 Brand#31 1671.68 1671.68 +Manufacturer#3 Brand#32 3333.37 5005.05 +Manufacturer#3 Brand#34 1337.29 6342.34 +Manufacturer#3 Brand#35 1190.27 5860.93 +Manufacturer#4 Brand#41 4755.94 4755.94 +Manufacturer#4 Brand#42 2581.68 7337.62 +Manufacturer#5 Brand#51 1611.66 1611.66 +Manufacturer#5 Brand#52 3254.17 4865.83 +Manufacturer#5 Brand#53 2806.83 7672.66 +PREHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +PREHOOK: type: CREATEVIEW +POSTHOOK: query: explain vectorization detail +create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +POSTHOOK: type: CREATEVIEW +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + +STAGE PLANS: + Stage: Stage-1 + Create View Operator: + Create View + if not exists: true + or replace: false + columns: p_mfgr string, p_brand string, s double + expanded text: select `part`.`p_mfgr`, `part`.`p_brand`, +round(sum(`part`.`p_retailprice`) over w1,2) as `s` +from `default`.`part` +window w1 as (distribute by `part`.`p_mfgr` sort by `part`.`p_name` rows between 2 preceding and current row) + name: default.mfgr_brand_price_view + original text: select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) + rewrite enabled: false + +PREHOOK: query: create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +PREHOOK: type: CREATEVIEW +PREHOOK: Input: default@part +PREHOOK: Output: database:default +PREHOOK: Output: default@mfgr_brand_price_view +POSTHOOK: query: create view IF NOT EXISTS mfgr_brand_price_view as +select p_mfgr, p_brand, +round(sum(p_retailprice) over w1,2) as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and current row) +POSTHOOK: type: CREATEVIEW +POSTHOOK: Input: default@part +POSTHOOK: Output: database:default +POSTHOOK: Output: default@mfgr_brand_price_view +POSTHOOK: Lineage: mfgr_brand_price_view.p_brand SIMPLE [(part)part.FieldSchema(name:p_brand, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_brand_price_view.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: mfgr_brand_price_view.s SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +p_mfgr p_brand s +PREHOOK: query: explain vectorization detail +select * from mfgr_brand_price_view +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * from mfgr_brand_price_view +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + properties: + insideView TRUE + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_brand (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 3, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col3, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col3: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col3 (type: string), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * from mfgr_brand_price_view +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_brand_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * from mfgr_brand_price_view +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_brand_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +mfgr_brand_price_view.p_mfgr mfgr_brand_price_view.p_brand mfgr_brand_price_view.s +Manufacturer#1 Brand#12 4100.06 +Manufacturer#1 Brand#12 4649.67 +Manufacturer#1 Brand#12 4770.77 +Manufacturer#1 Brand#14 1173.15 +Manufacturer#1 Brand#14 2346.3 +Manufacturer#1 Brand#15 4529.5 +Manufacturer#2 Brand#22 1690.68 +Manufacturer#2 Brand#22 3491.38 +Manufacturer#2 Brand#23 5523.36 +Manufacturer#2 Brand#24 5531.34 +Manufacturer#2 Brand#25 5432.24 +Manufacturer#3 Brand#31 1671.68 +Manufacturer#3 Brand#32 4272.34 +Manufacturer#3 Brand#32 4523.64 +Manufacturer#3 Brand#34 4670.66 +Manufacturer#3 Brand#35 2861.95 +Manufacturer#4 Brand#41 1620.67 +Manufacturer#4 Brand#41 4341.53 +Manufacturer#4 Brand#41 4426.6 +Manufacturer#4 Brand#42 2996.09 +Manufacturer#4 Brand#42 4202.35 +Manufacturer#5 Brand#51 3401.35 +Manufacturer#5 Brand#52 1789.69 +Manufacturer#5 Brand#52 4271.31 +Manufacturer#5 Brand#53 4418.49 +Manufacturer#5 Brand#53 5190.08 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: p_mfgr (type: string), p_name (type: string), p_size (type: int), array(1,2,3) (type: array) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Lateral View Forward + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Lateral View Join Operator + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: int), _col4 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Select Operator + expressions: _col3 (type: array) + outputColumnNames: _col0 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + UDTF Operator + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + function name: explode + Lateral View Join Operator + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: int), _col4 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + notVectorizedReason: Lateral View Forward (LATERALVIEWFORWARD) not supported + vectorized: false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col4 + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col4: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~CURRENT + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col4 (type: int), _col2 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 52 Data size: 6294 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +lv_col, p_size, sum(p_size) over w1 as s +from (select p_mfgr, p_name, p_size, array(1,2,3) arr from part) p +lateral view explode(arr) part_lv as lv_col +window w1 as (distribute by p_mfgr sort by p_size, lv_col rows between 2 preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name lv_col p_size s +Manufacturer#1 almond antique burnished rose metallic 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 2 4 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 2 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique burnished rose metallic 3 2 6 +Manufacturer#1 almond antique chartreuse lavender yellow 1 34 90 +Manufacturer#1 almond antique chartreuse lavender yellow 2 34 96 +Manufacturer#1 almond antique chartreuse lavender yellow 3 34 102 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 6 10 +Manufacturer#1 almond antique salmon chartreuse burlywood 2 6 14 +Manufacturer#1 almond antique salmon chartreuse burlywood 3 6 18 +Manufacturer#1 almond aquamarine burnished black steel 1 28 40 +Manufacturer#1 almond aquamarine burnished black steel 2 28 62 +Manufacturer#1 almond aquamarine burnished black steel 3 28 84 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 42 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 2 42 118 +Manufacturer#1 almond aquamarine pink moccasin thistle 3 42 126 +Manufacturer#2 almond antique violet chocolate turquoise 1 14 18 +Manufacturer#2 almond antique violet chocolate turquoise 2 14 30 +Manufacturer#2 almond antique violet chocolate turquoise 3 14 42 +Manufacturer#2 almond antique violet turquoise frosted 1 40 90 +Manufacturer#2 almond antique violet turquoise frosted 2 40 105 +Manufacturer#2 almond antique violet turquoise frosted 3 40 120 +Manufacturer#2 almond aquamarine midnight light salmon 1 2 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 4 +Manufacturer#2 almond aquamarine midnight light salmon 3 2 6 +Manufacturer#2 almond aquamarine rose maroon antique 1 25 61 +Manufacturer#2 almond aquamarine rose maroon antique 2 25 68 +Manufacturer#2 almond aquamarine rose maroon antique 3 25 75 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 18 46 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 2 18 50 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 3 18 54 +Manufacturer#3 almond antique chartreuse khaki white 1 17 45 +Manufacturer#3 almond antique chartreuse khaki white 2 17 48 +Manufacturer#3 almond antique chartreuse khaki white 3 17 51 +Manufacturer#3 almond antique forest lavender goldenrod 1 14 16 +Manufacturer#3 almond antique forest lavender goldenrod 2 14 29 +Manufacturer#3 almond antique forest lavender goldenrod 3 14 42 +Manufacturer#3 almond antique metallic orange dim 1 19 53 +Manufacturer#3 almond antique metallic orange dim 2 19 55 +Manufacturer#3 almond antique metallic orange dim 3 19 57 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique misty red olive 2 1 2 +Manufacturer#3 almond antique misty red olive 3 1 3 +Manufacturer#3 almond antique olive coral navajo 1 45 83 +Manufacturer#3 almond antique olive coral navajo 2 45 109 +Manufacturer#3 almond antique olive coral navajo 3 45 135 +Manufacturer#4 almond antique gainsboro frosted violet 1 10 24 +Manufacturer#4 almond antique gainsboro frosted violet 2 10 27 +Manufacturer#4 almond antique gainsboro frosted violet 3 10 30 +Manufacturer#4 almond antique violet mint lemon 1 39 93 +Manufacturer#4 almond antique violet mint lemon 2 39 105 +Manufacturer#4 almond antique violet mint lemon 3 39 117 +Manufacturer#4 almond aquamarine floral ivory bisque 1 27 51 +Manufacturer#4 almond aquamarine floral ivory bisque 2 27 66 +Manufacturer#4 almond aquamarine floral ivory bisque 3 27 81 +Manufacturer#4 almond aquamarine yellow dodger mint 1 7 7 +Manufacturer#4 almond aquamarine yellow dodger mint 2 7 14 +Manufacturer#4 almond aquamarine yellow dodger mint 3 7 21 +Manufacturer#4 almond azure aquamarine papaya violet 1 12 32 +Manufacturer#4 almond azure aquamarine papaya violet 2 12 34 +Manufacturer#4 almond azure aquamarine papaya violet 3 12 36 +Manufacturer#5 almond antique blue firebrick mint 1 31 77 +Manufacturer#5 almond antique blue firebrick mint 2 31 85 +Manufacturer#5 almond antique blue firebrick mint 3 31 93 +Manufacturer#5 almond antique medium spring khaki 1 6 10 +Manufacturer#5 almond antique medium spring khaki 2 6 14 +Manufacturer#5 almond antique medium spring khaki 3 6 18 +Manufacturer#5 almond antique sky peru orange 1 2 2 +Manufacturer#5 almond antique sky peru orange 2 2 4 +Manufacturer#5 almond antique sky peru orange 3 2 6 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 46 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 2 46 123 +Manufacturer#5 almond aquamarine dodger light gainsboro 3 46 138 +Manufacturer#5 almond azure blanched chiffon midnight 1 23 35 +Manufacturer#5 almond azure blanched chiffon midnight 2 23 52 +Manufacturer#5 almond azure blanched chiffon midnight 3 23 69 +PREHOOK: query: CREATE TABLE part_1( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_1 +POSTHOOK: query: CREATE TABLE part_1( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_1 +PREHOOK: query: CREATE TABLE part_2( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +cud INT, +s2 DOUBLE, +fv1 INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_2 +POSTHOOK: query: CREATE TABLE part_2( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +cud INT, +s2 DOUBLE, +fv1 INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_2 +PREHOOK: query: CREATE TABLE part_3( +p_mfgr STRING, +p_name STRING, +p_size INT, +c INT, +ca INT, +fv INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_3 +POSTHOOK: query: CREATE TABLE part_3( +p_mfgr STRING, +p_name STRING, +p_size INT, +c INT, +ca INT, +fv INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_3 +PREHOOK: query: explain vectorization detail +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-3 is a root stage + Stage-0 depends on stages: Stage-3 + Stage-4 depends on stages: Stage-0 + Stage-5 depends on stages: Stage-3 + Stage-6 depends on stages: Stage-5 + Stage-7 depends on stages: Stage-6 + Stage-1 depends on stages: Stage-7 + Stage-8 depends on stages: Stage-1 + Stage-9 depends on stages: Stage-3 + Stage-10 depends on stages: Stage-9 + Stage-2 depends on stages: Stage-10 + Stage-11 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_2 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int), dense_rank_window_1 (type: int), round(sum_window_2, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_1 + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_1 + + Stage: Stage-4 + Stats-Aggr Operator + + Stage: Stage-5 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Map Vectorization: + enabled: false +#### A masked pattern was here #### + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: cume_dist_window_2 + arguments: _col1 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: rank_window_0, dense_rank_window_1, cume_dist_window_2, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-6 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5] + Reduce Output Operator + key expressions: _col2 (type: string), _col5 (type: int) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), dense_rank_window_1 (type: int), cume_dist_window_2 (type: double), _col1 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + includeColumns: [0, 1, 2, 3, 4, 5] + dataColumns: rank_window_0:int, dense_rank_window_1:int, cume_dist_window_2:double, _col1:string, _col2:string, _col5:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: double), VALUE._col4 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col0, _col1, _col2, _col4, _col5, _col8 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col2: double, _col4: string, _col5: string, _col8: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col8 ASC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_3 + arguments: _col8 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(5)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_3 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col4 (type: string), _col5 (type: string), _col8 (type: int) + outputColumnNames: sum_window_3, _col0, _col1, _col2, _col4, _col5, _col8 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-7 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6] + Reduce Output Operator + key expressions: _col5 (type: string), _col4 (type: string) + sort order: ++ + Map-reduce partition columns: _col5 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_3 (type: bigint), _col0 (type: int), _col1 (type: int), _col2 (type: double), _col8 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 7 + includeColumns: [0, 1, 2, 3, 4, 5, 6] + dataColumns: sum_window_3:bigint, _col0:int, _col1:int, _col2:double, _col4:string, _col5:string, _col8:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: double), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col7 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col9 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: int, _col2: int, _col3: double, _col5: string, _col6: string, _col9: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col5 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: first_value_window_4 + arguments: _col9 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col6 (type: string), _col5 (type: string), _col9 (type: int), _col1 (type: int), _col2 (type: int), UDFToInteger(_col3) (type: int), UDFToDouble(round(_col0, 1)) (type: double), first_value_window_4 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_2 + + Stage: Stage-1 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_2 + + Stage: Stage-8 + Stats-Aggr Operator + + Stage: Stage-9 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Map Vectorization: + enabled: false +#### A masked pattern was here #### + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: count_window_0 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + isStar: true + window function definition + alias: count_window_1 + arguments: _col5 + name: count + window function: GenericUDAFCountEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: count_window_0, count_window_1, _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-10 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: count_window_0 (type: bigint), count_window_1 (type: bigint), _col5 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2, 3, 4] + dataColumns: count_window_0:bigint, count_window_1:bigint, _col1:string, _col2:string, _col5:int + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int) + outputColumnNames: _col0, _col1, _col3, _col4, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col1: bigint, _col3: string, _col4: string, _col7: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: first_value_window_2 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), UDFToInteger(_col0) (type: int), UDFToInteger(_col1) (type: int), first_value_window_2 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_3 + + Stage: Stage-2 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_3 + + Stage: Stage-11 + Stats-Aggr Operator + +PREHOOK: query: from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +PREHOOK: Output: default@part_1 +PREHOOK: Output: default@part_2 +PREHOOK: Output: default@part_3 +POSTHOOK: query: from part +INSERT OVERWRITE TABLE part_1 +select p_mfgr, p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name ) as r, +dense_rank() over(distribute by p_mfgr sort by p_name ) as dr, +round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row),2) as s +INSERT OVERWRITE TABLE part_2 +select p_mfgr,p_name, p_size, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +cume_dist() over(distribute by p_mfgr sort by p_name) as cud, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +first_value(p_size) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +INSERT OVERWRITE TABLE part_3 +select p_mfgr,p_name, p_size, +count(*) over(distribute by p_mfgr sort by p_name) as c, +count(p_size) over(distribute by p_mfgr sort by p_name) as ca, +first_value(p_size) over w1 as fv +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +POSTHOOK: Output: default@part_1 +POSTHOOK: Output: default@part_2 +POSTHOOK: Output: default@part_3 +POSTHOOK: Lineage: part_1.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +POSTHOOK: Lineage: part_1.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_1.s SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.cud SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.fv1 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +POSTHOOK: Lineage: part_2.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_2.s2 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.c SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.ca SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.fv SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_mfgr SIMPLE [(part)part.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_name SIMPLE [(part)part.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part_3.p_size SIMPLE [(part)part.FieldSchema(name:p_size, type:int, comment:null), ] +_col0 _col1 _col2 _col3 _col4 _col5 +PREHOOK: query: select * from part_1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_1 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_1 +#### A masked pattern was here #### +part_1.p_mfgr part_1.p_name part_1.p_size part_1.r part_1.dr part_1.s +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.35 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: select * from part_2 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_2 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_2 +#### A masked pattern was here #### +part_2.p_mfgr part_2.p_name part_2.p_size part_2.r part_2.dr part_2.cud part_2.s2 part_2.fv1 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0 4.0 2 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 0 4.0 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 0 34.0 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 0 10.0 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 0 28.0 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 1 42.0 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 0 14.0 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 0 40.0 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 0 2.0 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 0 25.0 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 1 32.0 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 0 31.0 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 0 14.0 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 0 50.0 17 +Manufacturer#3 almond antique misty red olive 1 4 4 0 1.0 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 1 45.0 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 0 17.0 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 0 39.0 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 0 27.0 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 0 7.0 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 1 29.0 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 0 31.0 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 0 8.0 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 0 2.0 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 0 46.0 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 1 23.0 2 +PREHOOK: query: select * from part_3 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_3 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_3 +#### A masked pattern was here #### +part_3.p_mfgr part_3.p_name part_3.p_size part_3.c part_3.ca part_3.fv +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 2 2 2 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 3 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 4 2 +Manufacturer#1 almond aquamarine burnished black steel 28 5 5 34 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 6 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 14 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 40 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 2 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 17 +Manufacturer#3 almond antique metallic orange dim 19 3 3 17 +Manufacturer#3 almond antique misty red olive 1 4 4 14 +Manufacturer#3 almond antique olive coral navajo 45 5 5 19 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 +Manufacturer#4 almond antique violet mint lemon 39 2 2 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 10 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 39 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 27 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 +Manufacturer#5 almond antique medium spring khaki 6 2 2 31 +Manufacturer#5 almond antique sky peru orange 2 3 3 31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 2 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColGreaterLongScalar(col 5, val 0) -> boolean + predicate: (p_size > 0) (type: boolean) + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(p_retailprice) + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 7) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 2, col 1, col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: p_mfgr (type: string), p_name (type: string), p_size (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: int, _col3: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: dense_rank_window_1 + arguments: _col1 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: lag_window_2 + arguments: _col2, 1, _col2 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: double), rank_window_0 (type: int), dense_rank_window_1 (type: int), _col2 (type: int), (_col2 - lag_window_2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4 Data size: 484 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, min(p_retailprice) as mi, +rank() over(distribute by p_mfgr sort by p_name) as r, +dense_rank() over(distribute by p_mfgr sort by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over(distribute by p_mfgr sort by p_name) as deltaSz +from part +group by p_mfgr, p_name, p_size +having p_size > 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size mi r dr p_size deltasz +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 1922.98 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 1788.73 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 5 5 23 -23 +PREHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(10)~CURRENT + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE CURRENT~FOLLOWING(10) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr,p_name, p_size, +sum(p_size) over (distribute by p_mfgr sort by p_size range between 10 preceding and current row) as s2, +sum(p_size) over (distribute by p_mfgr sort by p_size range between current row and 10 following ) as s1 +from part +window w1 as (rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s2 s1 +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique burnished rose metallic 2 4 10 +Manufacturer#1 almond antique chartreuse lavender yellow 34 62 76 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 10 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 62 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 32 +Manufacturer#2 almond antique violet turquoise frosted 40 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 43 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 43 +Manufacturer#3 almond antique chartreuse khaki white 17 31 36 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 50 +Manufacturer#3 almond antique metallic orange dim 19 50 19 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique olive coral navajo 45 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 17 22 +Manufacturer#4 almond antique violet mint lemon 39 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 29 +Manufacturer#4 almond azure aquamarine papaya violet 12 29 12 +Manufacturer#5 almond antique blue firebrick mint 31 54 31 +Manufacturer#5 almond antique medium spring khaki 6 8 6 +Manufacturer#5 almond antique sky peru orange 2 2 8 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 54 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) as s +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s, +sum(p_size) over w2 as s2 +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following), + w2 as (partition by p_mfgr order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s s2 +Manufacturer#1 almond antique burnished rose metallic 2 38 4 +Manufacturer#1 almond antique burnished rose metallic 2 44 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 44 +Manufacturer#1 almond aquamarine burnished black steel 28 110 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 14 +Manufacturer#2 almond antique violet turquoise frosted 40 81 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 99 +Manufacturer#3 almond antique chartreuse khaki white 17 50 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 31 +Manufacturer#3 almond antique metallic orange dim 19 96 50 +Manufacturer#3 almond antique misty red olive 1 79 51 +Manufacturer#3 almond antique olive coral navajo 45 65 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 10 +Manufacturer#4 almond antique violet mint lemon 39 83 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 95 +Manufacturer#5 almond antique blue firebrick mint 31 39 31 +Manufacturer#5 almond antique medium spring khaki 6 85 37 +Manufacturer#5 almond antique sky peru orange 2 108 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as w1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 18 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 14 +Manufacturer#3 almond antique metallic orange dim 19 19 19 +Manufacturer#3 almond antique misty red olive 1 1 1 +Manufacturer#3 almond antique olive coral navajo 45 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 12 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 6 +Manufacturer#5 almond antique sky peru orange 2 2 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 23 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2 +from part +window w1 as (partition by p_mfgr order by p_name range between 2 preceding and 2 following), + w2 as (w1 rows between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 +Manufacturer#1 almond antique burnished rose metallic 2 4 2 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 +Manufacturer#3 almond antique metallic orange dim 19 19 50 +Manufacturer#3 almond antique misty red olive 1 1 51 +Manufacturer#3 almond antique olive coral navajo 45 45 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 37 +Manufacturer#5 almond antique sky peru orange 2 2 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over w3 as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 4 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 44 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 114 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 54 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 56 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 99 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 31 +Manufacturer#3 almond antique metallic orange dim 19 19 50 50 +Manufacturer#3 almond antique misty red olive 1 1 51 51 +Manufacturer#3 almond antique olive coral navajo 45 45 96 96 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 10 +Manufacturer#4 almond antique violet mint lemon 39 39 49 49 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 76 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 83 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 95 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 31 +Manufacturer#5 almond antique medium spring khaki 6 6 37 37 +Manufacturer#5 almond antique sky peru orange 2 2 39 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 85 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 108 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(2)~FOLLOWING(2) + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_2 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint), sum_window_1 (type: bigint), sum_window_2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +sum(p_size) over w1 as s1, +sum(p_size) over w2 as s2, +sum(p_size) over (w3 rows between 2 preceding and 2 following) as s3 +from part +window w1 as (distribute by p_mfgr sort by p_name range between 2 preceding and 2 following), + w2 as w3, + w3 as (distribute by p_mfgr sort by p_name range between unbounded preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 38 +Manufacturer#1 almond antique burnished rose metallic 2 4 4 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 38 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6 44 112 +Manufacturer#1 almond aquamarine burnished black steel 28 28 72 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 114 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 40 54 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 2 56 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 81 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 18 99 45 +Manufacturer#3 almond antique chartreuse khaki white 17 17 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 31 51 +Manufacturer#3 almond antique metallic orange dim 19 19 50 96 +Manufacturer#3 almond antique misty red olive 1 1 51 79 +Manufacturer#3 almond antique olive coral navajo 45 45 96 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 10 76 +Manufacturer#4 almond antique violet mint lemon 39 39 49 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 76 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7 83 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 12 95 46 +Manufacturer#5 almond antique blue firebrick mint 31 31 31 39 +Manufacturer#5 almond antique medium spring khaki 6 6 37 85 +Manufacturer#5 almond antique sky peru orange 2 2 39 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 85 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 108 71 +PREHOOK: query: explain vectorization detail +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(2)~FOLLOWING(2) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Group By Operator + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + sort order: ++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col0:string, _col1:string, _col2:int, _col3:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: bigint) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select DISTINCT p_mfgr, p_name, p_size, +sum(p_size) over w1 as s +from part +window w1 as (distribute by p_mfgr sort by p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s +Manufacturer#1 almond antique burnished rose metallic 2 38 +Manufacturer#1 almond antique burnished rose metallic 2 44 +Manufacturer#1 almond antique chartreuse lavender yellow 34 72 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 112 +Manufacturer#1 almond aquamarine burnished black steel 28 110 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 76 +Manufacturer#2 almond antique violet chocolate turquoise 14 56 +Manufacturer#2 almond antique violet turquoise frosted 40 81 +Manufacturer#2 almond aquamarine midnight light salmon 2 99 +Manufacturer#2 almond aquamarine rose maroon antique 25 85 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 45 +Manufacturer#3 almond antique chartreuse khaki white 17 50 +Manufacturer#3 almond antique forest lavender goldenrod 14 51 +Manufacturer#3 almond antique metallic orange dim 19 96 +Manufacturer#3 almond antique misty red olive 1 79 +Manufacturer#3 almond antique olive coral navajo 45 65 +Manufacturer#4 almond antique gainsboro frosted violet 10 76 +Manufacturer#4 almond antique violet mint lemon 39 83 +Manufacturer#4 almond aquamarine floral ivory bisque 27 95 +Manufacturer#4 almond aquamarine yellow dodger mint 7 85 +Manufacturer#4 almond azure aquamarine papaya violet 12 46 +Manufacturer#5 almond antique blue firebrick mint 31 39 +Manufacturer#5 almond antique medium spring khaki 6 85 +Manufacturer#5 almond antique sky peru orange 2 108 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 77 +Manufacturer#5 almond azure blanched chiffon midnight 23 71 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name ) as r +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size r +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string) + sort order: + + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col6 (type: double) + outputColumnNames: _col2, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: max_window_2 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: avg_window_3 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + window function definition + alias: count_window_4 + arguments: _col7 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), round(sum_window_0, 2) (type: double), min_window_1 (type: double), max_window_2 (type: double), round(avg_window_3, 2) (type: double), count_window_4 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, +round(sum(p_retailprice) over (partition by p_mfgr order by p_mfgr),2) as s1, +min(p_retailprice) over (partition by p_mfgr) as s2, +max(p_retailprice) over (distribute by p_mfgr sort by p_mfgr) as s3, +round(avg(p_retailprice) over (distribute by p_mfgr),2) as s4, +count(p_retailprice) over (cluster by p_mfgr ) as s5 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr s1 s2 s3 s4 s5 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#1 8749.73 1173.15 1753.76 1458.29 6 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#2 8923.62 1690.68 2031.98 1784.72 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#3 7532.61 1190.27 1922.98 1506.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#4 7337.62 1206.26 1844.92 1467.52 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +Manufacturer#5 7672.66 1018.1 1789.69 1534.53 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col1 ASC NULLS FIRST + partition by: _col2, _col1 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_1 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: double), min_window_1 (type: double), _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: sum_window_0, min_window_1, _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5] + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_0 (type: double), min_window_1 (type: double), _col5 (type: int), _col7 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + includeColumns: [0, 1, 2, 3, 4, 5] + dataColumns: sum_window_0:double, min_window_1:double, _col1:string, _col2:string, _col5:int, _col7:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: double), VALUE._col1 (type: double), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col5 (type: int), VALUE._col7 (type: double) + outputColumnNames: _col0, _col1, _col3, _col4, _col7, _col9 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: double, _col1: double, _col3: string, _col4: string, _col7: int, _col9: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col4, _col3 + raw input shape: + window functions: + window function definition + alias: max_window_2 + arguments: _col9 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: string), _col3 (type: string), _col7 (type: int), round(_col0, 2) (type: double), _col1 (type: double), max_window_2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +round(sum(p_retailprice) over (partition by p_mfgr, p_name order by p_mfgr, p_name rows between unbounded preceding and current row),2) as s1, +min(p_retailprice) over (distribute by p_mfgr, p_name sort by p_mfgr, p_name rows between unbounded preceding and current row) as s2, +max(p_retailprice) over (partition by p_mfgr, p_name order by p_name) as s3 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 s2 s3 +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 1173.15 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 1173.15 1173.15 +Manufacturer#1 almond antique chartreuse lavender yellow 34 1753.76 1753.76 1753.76 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 1602.59 1602.59 1602.59 +Manufacturer#1 almond aquamarine burnished black steel 28 1414.42 1414.42 1414.42 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 1632.66 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 1690.68 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 1800.7 1800.7 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 2031.98 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 1698.66 1698.66 1698.66 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 1701.6 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 1671.68 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 1190.27 1190.27 1190.27 +Manufacturer#3 almond antique metallic orange dim 19 1410.39 1410.39 1410.39 +Manufacturer#3 almond antique misty red olive 1 1922.98 1922.98 1922.98 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 1337.29 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 1620.67 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 1375.42 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 27 1206.26 1206.26 1206.26 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 1844.92 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 1290.35 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 1789.69 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 1611.66 1611.66 1611.66 +Manufacturer#5 almond antique sky peru orange 2 1788.73 1788.73 1788.73 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 1018.1 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 1464.48 1464.48 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), substr(p_type, 2) (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_type (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col3 (type: string) + outputColumnNames: _col2, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: substr(_col4, 2) ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: substr(_col4, 2) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col4 (type: string), substr(_col4, 2) (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_type, substr(p_type, 2) as short_ptype, +rank() over (partition by p_mfgr order by substr(p_type, 2)) as r +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_type short_ptype r +Manufacturer#1 LARGE BRUSHED STEEL ARGE BRUSHED STEEL 1 +Manufacturer#1 LARGE BURNISHED STEEL ARGE BURNISHED STEEL 2 +Manufacturer#1 PROMO BURNISHED NICKEL ROMO BURNISHED NICKEL 3 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 PROMO PLATED TIN ROMO PLATED TIN 4 +Manufacturer#1 STANDARD ANODIZED STEEL TANDARD ANODIZED STEEL 6 +Manufacturer#2 ECONOMY POLISHED STEEL CONOMY POLISHED STEEL 1 +Manufacturer#2 MEDIUM ANODIZED COPPER EDIUM ANODIZED COPPER 2 +Manufacturer#2 MEDIUM BURNISHED COPPER EDIUM BURNISHED COPPER 3 +Manufacturer#2 SMALL POLISHED NICKEL MALL POLISHED NICKEL 4 +Manufacturer#2 STANDARD PLATED TIN TANDARD PLATED TIN 5 +Manufacturer#3 ECONOMY PLATED COPPER CONOMY PLATED COPPER 1 +Manufacturer#3 MEDIUM BURNISHED BRASS EDIUM BURNISHED BRASS 2 +Manufacturer#3 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#3 PROMO ANODIZED TIN ROMO ANODIZED TIN 4 +Manufacturer#3 STANDARD POLISHED STEEL TANDARD POLISHED STEEL 5 +Manufacturer#4 ECONOMY BRUSHED COPPER CONOMY BRUSHED COPPER 1 +Manufacturer#4 PROMO POLISHED STEEL ROMO POLISHED STEEL 4 +Manufacturer#4 SMALL BRUSHED BRASS MALL BRUSHED BRASS 2 +Manufacturer#4 SMALL PLATED STEEL MALL PLATED STEEL 3 +Manufacturer#4 STANDARD ANODIZED TIN TANDARD ANODIZED TIN 5 +Manufacturer#5 ECONOMY BURNISHED STEEL CONOMY BURNISHED STEEL 2 +Manufacturer#5 LARGE BRUSHED BRASS ARGE BRUSHED BRASS 1 +Manufacturer#5 MEDIUM BURNISHED TIN EDIUM BURNISHED TIN 3 +Manufacturer#5 SMALL PLATED BRASS MALL PLATED BRASS 4 +Manufacturer#5 STANDARD BURNISHED TIN TANDARD BURNISHED TIN 5 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 5702.65 +Manufacturer#1 almond aquamarine burnished black steel 28 7117.07 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 5523.36 +Manufacturer#2 almond aquamarine rose maroon antique 25 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 4272.34 +Manufacturer#3 almond antique misty red olive 1 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 7337.62 +Manufacturer#5 almond antique blue firebrick mint 31 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 3401.35 +Manufacturer#5 almond antique sky peru orange 2 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 7672.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range unbounded preceding),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique burnished rose metallic 2 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 7117.07 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3948.89 +Manufacturer#1 almond aquamarine burnished black steel 28 5363.31 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 8749.73 +Manufacturer#2 almond antique violet chocolate turquoise 14 3722.66 +Manufacturer#2 almond antique violet turquoise frosted 40 8923.62 +Manufacturer#2 almond aquamarine midnight light salmon 2 2031.98 +Manufacturer#2 almond aquamarine rose maroon antique 25 7122.92 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5424.26 +Manufacturer#3 almond antique chartreuse khaki white 17 4784.93 +Manufacturer#3 almond antique forest lavender goldenrod 14 3113.25 +Manufacturer#3 almond antique metallic orange dim 19 6195.32 +Manufacturer#3 almond antique misty red olive 1 1922.98 +Manufacturer#3 almond antique olive coral navajo 45 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 3465.59 +Manufacturer#4 almond antique violet mint lemon 39 7337.62 +Manufacturer#4 almond aquamarine floral ivory bisque 27 5962.2 +Manufacturer#4 almond aquamarine yellow dodger mint 7 1844.92 +Manufacturer#4 almond azure aquamarine papaya violet 12 4755.94 +Manufacturer#5 almond antique blue firebrick mint 31 6654.56 +Manufacturer#5 almond antique medium spring khaki 6 3400.39 +Manufacturer#5 almond antique sky peru orange 2 1788.73 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 7672.66 +Manufacturer#5 almond azure blanched chiffon midnight 23 4864.87 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 7576.58 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique chartreuse lavender yellow 34 6403.43 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4649.67 +Manufacturer#1 almond aquamarine burnished black steel 28 3047.08 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 8923.62 +Manufacturer#2 almond antique violet turquoise frosted 40 7232.94 +Manufacturer#2 almond aquamarine midnight light salmon 2 5432.24 +Manufacturer#2 almond aquamarine rose maroon antique 25 3400.26 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 1701.6 +Manufacturer#3 almond antique chartreuse khaki white 17 7532.61 +Manufacturer#3 almond antique forest lavender goldenrod 14 5860.93 +Manufacturer#3 almond antique metallic orange dim 19 4670.66 +Manufacturer#3 almond antique misty red olive 1 3260.27 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 7337.62 +Manufacturer#4 almond antique violet mint lemon 39 5716.95 +Manufacturer#4 almond aquamarine floral ivory bisque 27 4341.53 +Manufacturer#4 almond aquamarine yellow dodger mint 7 3135.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 1290.35 +Manufacturer#5 almond antique blue firebrick mint 31 7672.66 +Manufacturer#5 almond antique medium spring khaki 6 5882.97 +Manufacturer#5 almond antique sky peru orange 2 4271.31 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 2482.58 +Manufacturer#5 almond azure blanched chiffon midnight 23 1464.48 +PREHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), round(sum_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, + round(sum(p_retailprice) over (distribute by p_mfgr sort by p_size range between current row and unbounded following),2) as s1 + from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_name p_size s1 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique burnished rose metallic 2 8749.73 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3386.42 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 6403.43 +Manufacturer#1 almond aquamarine burnished black steel 28 4800.84 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 1632.66 +Manufacturer#2 almond antique violet chocolate turquoise 14 6891.64 +Manufacturer#2 almond antique violet turquoise frosted 40 1800.7 +Manufacturer#2 almond aquamarine midnight light salmon 2 8923.62 +Manufacturer#2 almond aquamarine rose maroon antique 25 3499.36 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5200.96 +Manufacturer#3 almond antique chartreuse khaki white 17 4419.36 +Manufacturer#3 almond antique forest lavender goldenrod 14 5609.63 +Manufacturer#3 almond antique metallic orange dim 19 2747.68 +Manufacturer#3 almond antique misty red olive 1 7532.61 +Manufacturer#3 almond antique olive coral navajo 45 1337.29 +Manufacturer#4 almond antique gainsboro frosted violet 10 5492.7 +Manufacturer#4 almond antique violet mint lemon 39 1375.42 +Manufacturer#4 almond aquamarine floral ivory bisque 27 2581.68 +Manufacturer#4 almond aquamarine yellow dodger mint 7 7337.62 +Manufacturer#4 almond azure aquamarine papaya violet 12 3872.03 +Manufacturer#5 almond antique blue firebrick mint 31 2807.79 +Manufacturer#5 almond antique medium spring khaki 6 5883.93 +Manufacturer#5 almond antique sky peru orange 2 7672.66 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 1018.1 +Manufacturer#5 almond azure blanched chiffon midnight 23 4272.27 +PREHOOK: query: explain vectorization detail +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: 0 (type: int) + sort order: + + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_name (type: string), p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: string), VALUE._col7 (type: double) + outputColumnNames: _col1, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 0 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col7 (type: double), round(avg_window_0, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: double), _col2 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:string, _col1:double, _col2:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_name, p_retailprice, +round(avg(p_retailprice) over(),2) +from part +order by p_name +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_name p_retailprice _c2 +almond antique blue firebrick mint 1789.69 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique burnished rose metallic 1173.15 1546.78 +almond antique chartreuse khaki white 1671.68 1546.78 +almond antique chartreuse lavender yellow 1753.76 1546.78 +almond antique forest lavender goldenrod 1190.27 1546.78 +almond antique gainsboro frosted violet 1620.67 1546.78 +almond antique medium spring khaki 1611.66 1546.78 +almond antique metallic orange dim 1410.39 1546.78 +almond antique misty red olive 1922.98 1546.78 +almond antique olive coral navajo 1337.29 1546.78 +almond antique salmon chartreuse burlywood 1602.59 1546.78 +almond antique sky peru orange 1788.73 1546.78 +almond antique violet chocolate turquoise 1690.68 1546.78 +almond antique violet mint lemon 1375.42 1546.78 +almond antique violet turquoise frosted 1800.7 1546.78 +almond aquamarine burnished black steel 1414.42 1546.78 +almond aquamarine dodger light gainsboro 1018.1 1546.78 +almond aquamarine floral ivory bisque 1206.26 1546.78 +almond aquamarine midnight light salmon 2031.98 1546.78 +almond aquamarine pink moccasin thistle 1632.66 1546.78 +almond aquamarine rose maroon antique 1698.66 1546.78 +almond aquamarine sandy cyan gainsboro 1701.6 1546.78 +almond aquamarine yellow dodger mint 1844.92 1546.78 +almond azure aquamarine papaya violet 1290.35 1546.78 +almond azure blanched chiffon midnight 1464.48 1546.78 +PREHOOK: query: explain vectorization detail +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#6) -> boolean + predicate: (p_mfgr = 'Manufacturer#6') (type: boolean) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 'Manufacturer#6' (type: string), p_size (type: int) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#6' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int) + outputColumnNames: _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: 'Manufacturer#6' + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: 'Manufacturer#6' (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, + sum(p_size) over (partition by p_mfgr order by p_size rows between unbounded preceding and current row) +from part +where p_mfgr = 'Manufacturer#6' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr sum_window_0 +PREHOOK: query: explain vectorization detail +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val Manufacturer#1) -> boolean + predicate: (p_mfgr = 'Manufacturer#1') (type: boolean) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 'Manufacturer#1' (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: 'Manufacturer#1' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), VALUE._col6 (type: double) + outputColumnNames: _col1, _col7 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 'Manufacturer#1' + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS CURRENT~FOLLOWING(6) + window function definition + alias: sum_window_1 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS CURRENT~FOLLOWING(6) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: double), round(avg_window_0, 2) (type: double), round(sum_window_1, 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_retailprice, round(avg(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2), +round(sum(p_retailprice) over (partition by p_mfgr order by p_name rows between current row and 6 following),2) +from part +where p_mfgr='Manufacturer#1' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_retailprice _c1 _c2 +1173.15 1458.29 8749.73 +1173.15 1515.32 7576.58 +1414.42 1523.54 3047.08 +1602.59 1549.89 4649.67 +1632.66 1632.66 1632.66 +1753.76 1600.86 6403.43 +PREHOOK: query: explain vectorization detail +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterStringGroupColEqualStringScalar(col 2, val m1) -> boolean + predicate: (p_mfgr = 'm1') (type: boolean) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 'm1' (type: string) + sort order: + + Map-reduce partition columns: 'm1' (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col5 (type: int) + outputColumnNames: _col5 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col5: int + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: 'm1' ASC NULLS FIRST + partition by: 'm1' + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 13 Data size: 1573 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select sum(p_size) over (partition by p_mfgr ) +from part where p_mfgr = 'm1' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +sum_window_0 diff --git ql/src/test/results/clientpositive/vector_windowing_expressions.q.out ql/src/test/results/clientpositive/vector_windowing_expressions.q.out new file mode 100644 index 0000000..ecf866a --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_expressions.q.out @@ -0,0 +1,1822 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_1 + arguments: lag(...) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_2 + arguments: _col7 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: max_window_3 + arguments: _col7 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: min_window_4 + arguments: _col7 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: first_value_window_5 + arguments: _col7 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Lead/Lag information: lag(...) (type: double) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), (round(sum_window_0, 2) = round((sum_window_1 + last_value_window_2), 2)) (type: boolean), ((max_window_3 - min_window_4) = (last_value_window_2 - first_value_window_5)) (type: boolean) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) = round(sum(lag(p_retailprice,1,0.0)) over w1 + last_value(p_retailprice) over w1 , 2), +max(p_retailprice) over w1 - min(p_retailprice) over w1 = last_value(p_retailprice) over w1 - first_value(p_retailprice) over w1 +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size _c3 _c4 +Manufacturer#1 1173.15 2 true true +Manufacturer#1 1173.15 2 true true +Manufacturer#1 1414.42 28 true true +Manufacturer#1 1602.59 6 true true +Manufacturer#1 1632.66 42 true true +Manufacturer#1 1753.76 34 true true +Manufacturer#2 1690.68 14 true true +Manufacturer#2 1698.66 25 true true +Manufacturer#2 1701.6 18 true true +Manufacturer#2 1800.7 40 true true +Manufacturer#2 2031.98 2 true true +Manufacturer#3 1190.27 14 true true +Manufacturer#3 1337.29 45 true true +Manufacturer#3 1410.39 19 true true +Manufacturer#3 1671.68 17 true true +Manufacturer#3 1922.98 1 true true +Manufacturer#4 1206.26 27 true true +Manufacturer#4 1290.35 12 true true +Manufacturer#4 1375.42 39 true true +Manufacturer#4 1620.67 10 true true +Manufacturer#4 1844.92 7 true true +Manufacturer#5 1018.1 46 true true +Manufacturer#5 1464.48 23 true true +Manufacturer#5 1611.66 6 true true +Manufacturer#5 1788.73 2 true true +Manufacturer#5 1789.69 31 true true +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col7 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), rank_window_0 (type: int), sum_window_1 (type: double), (sum_window_1 - 5.0) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +rank() over (distribute by p_mfgr sort by p_retailprice) as r, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) as s2, +sum(p_retailprice) over (distribute by p_mfgr sort by p_retailprice rows between unbounded preceding and current row) -5 as s1 +from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size r s2 s1 +Manufacturer#1 1173.15 2 1 1173.15 1168.15 +Manufacturer#1 1173.15 2 1 2346.3 2341.3 +Manufacturer#1 1414.42 28 3 3760.7200000000003 3755.7200000000003 +Manufacturer#1 1602.59 6 4 5363.31 5358.31 +Manufacturer#1 1632.66 42 5 6995.97 6990.97 +Manufacturer#1 1753.76 34 6 8749.73 8744.73 +Manufacturer#2 1690.68 14 1 1690.68 1685.68 +Manufacturer#2 1698.66 25 2 3389.34 3384.34 +Manufacturer#2 1701.6 18 3 5090.9400000000005 5085.9400000000005 +Manufacturer#2 1800.7 40 4 6891.64 6886.64 +Manufacturer#2 2031.98 2 5 8923.62 8918.62 +Manufacturer#3 1190.27 14 1 1190.27 1185.27 +Manufacturer#3 1337.29 45 2 2527.56 2522.56 +Manufacturer#3 1410.39 19 3 3937.95 3932.95 +Manufacturer#3 1671.68 17 4 5609.63 5604.63 +Manufacturer#3 1922.98 1 5 7532.610000000001 7527.610000000001 +Manufacturer#4 1206.26 27 1 1206.26 1201.26 +Manufacturer#4 1290.35 12 2 2496.6099999999997 2491.6099999999997 +Manufacturer#4 1375.42 39 3 3872.0299999999997 3867.0299999999997 +Manufacturer#4 1620.67 10 4 5492.7 5487.7 +Manufacturer#4 1844.92 7 5 7337.62 7332.62 +Manufacturer#5 1018.1 46 1 1018.1 1013.1 +Manufacturer#5 1464.48 23 2 2482.58 2477.58 +Manufacturer#5 1611.66 6 3 4094.24 4089.24 +Manufacturer#5 1788.73 2 4 5882.969999999999 5877.969999999999 +Manufacturer#5 1789.69 31 5 7672.66 7667.66 +PREHOOK: query: explain vectorization detail +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), bo (type: boolean), s (type: string), si (type: smallint), f (type: float) + sort order: ++++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 1, 4, 6, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey3 (type: smallint), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col0, _col1, _col4, _col6, _col7 + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col1: smallint, _col4: float, _col6: boolean, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col7 ASC NULLS FIRST, _col1 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: lead_window_0 + arguments: _col4, 3 + name: lead + window function: GenericUDAFLeadEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col4 (type: float), (UDFToFloat(_col1) - lead_window_0) (type: float) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8771 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, f, si - lead(f, 3) over (partition by t order by bo,s,si,f desc) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si f _c3 +alice allen 400 76.31 337.23 +alice davidson 384 71.97 357.79 +alice king 455 2.48 395.93 +alice king 458 62.77 384.16998 +alice xylophone 485 26.21 464.05 +bob falkner 260 59.07 242.4 +bob ichabod 454 73.83 381.7 +bob polk 264 20.95 257.17 +bob underhill 454 17.6 424.94 +bob underhill 465 72.3 453.17 +bob van buren 433 6.83 398.4 +calvin ichabod 431 29.06 334.22 +david garcia 485 11.83 421.51 +ethan steinbeck 298 34.6 288.14 +fred ellison 376 96.78 330.76 +holly steinbeck 384 63.49 293.7 +holly underhill 318 9.86 269.91 +irene ellison 458 45.24 365.29 +irene underhill 307 90.3 244.19 +jessica johnson 494 48.09 490.18 +jessica king 459 92.71 452.2 +jessica white 284 62.81 209.08 +luke garcia 311 3.82 267.27 +luke young 451 6.8 429.0 +mike king 275 74.92 211.81 +oscar garcia 362 43.73 340.66 +priscilla laertes 316 22.0 296.06 +priscilla quirinius 423 63.19 362.72 +priscilla zipper 485 21.34 400.61 +quinn ellison 266 19.94 209.95 +quinn polk 507 60.28 447.66 +sarah robinson 320 84.39 309.74 +tom polk 346 56.05 320.33 +ulysses ellison 381 59.34 358.66 +ulysses quirinius 303 10.26 259.6 +ulysses robinson 313 25.67 269.31 +ulysses steinbeck 333 22.34 270.61 +victor allen 337 43.4 311.5 +victor hernandez 447 43.69 375.22 +victor xylophone 438 62.39 424.33 +wendy quirinius 279 25.5 250.25 +wendy robinson 275 71.78 262.88 +wendy xylophone 314 13.67 295.73 +xavier garcia 493 28.75 474.56 +zach thompson 386 12.12 377.63 +zach young 286 18.27 263.65 +alice falkner 280 18.44 227.7 +bob ellison 339 8.37 300.95 +bob johnson 374 22.35 326.49 +calvin white 280 52.3 198.32 +david carson 270 38.05 255.77 +david falkner 469 47.51 388.35 +david hernandez 408 81.68 339.27 +ethan underhill 339 14.23 256.26 +gabriella brown 498 80.65 413.25 +holly nixon 505 68.73 440.71 +holly polk 268 82.74 182.04001 +holly thompson 387 84.75 298.22 +irene young 458 64.29 401.8 +jessica miller 299 85.96 243.41 +katie ichabod 469 88.78 385.61 +luke ichabod 289 56.2 286.74 +luke king 337 55.59 274.88 +mike allen 465 83.39 383.03 +mike polk 500 2.26 427.74 +mike white 454 62.12 430.78 +mike xylophone 448 81.97 447.17 +nick nixon 335 72.26 240.78 +nick robinson 350 23.22 294.59 +oscar davidson 432 0.83 420.93 +oscar johnson 315 94.22 233.05 +oscar johnson 469 55.41 468.44 +oscar miller 324 11.07 265.19 +rachel davidson 507 81.95 468.78 +rachel thompson 344 0.56 246.12 +sarah miller 386 58.81 304.36 +sarah xylophone 275 38.22 177.48999 +sarah zipper 376 97.88 294.61 +tom hernandez 467 81.64 459.9 +tom hernandez 477 97.51 415.19 +tom steinbeck 414 81.39 361.87 +ulysses carson 343 7.1 314.22 +victor robinson 415 61.81 349.5 +victor thompson 344 52.13 NULL +xavier ovid 280 28.78 NULL +yuri xylophone 430 65.5 NULL +alice underhill 389 26.68 368.06 +alice underhill 446 6.49 444.21 +bob ovid 331 67.12 236.43 +bob van buren 406 20.94 383.32 +david falkner 406 1.79 374.34 +david miller 450 94.57 380.13 +ethan allen 380 22.68 375.6 +ethan king 395 31.66 361.51 +ethan nixon 475 69.87 431.39 +ethan polk 283 4.4 243.82 +fred allen 331 33.49 281.68 +fred king 511 43.61 457.22 +fred polk 261 39.18 248.73 +fred young 303 49.32 221.51001 +PREHOOK: query: explain vectorization detail +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), i (type: int), s (type: string) + sort order: +++ + Map-reduce partition columns: si (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col7 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: lead_window_0 + arguments: _col2, 3, 0 + name: lead + window function: GenericUDAFLeadEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), (_col2 - lead_window_0) (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, i - lead(i, 3, 0) over (partition by si order by i,s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +wendy garcia 65540 -18 +ethan thompson 65543 -20 +zach nixon 65549 -31 +alice robinson 65558 -28 +wendy nixon 65563 -33 +victor robinson 65580 -19 +ethan falkner 65586 -18 +victor davidson 65596 -17 +xavier quirinius 65599 -14 +fred quirinius 65604 -11 +nick zipper 65613 -3 +xavier van buren 65613 -7 +victor johnson 65615 -12 +alice ovid 65616 -24 +xavier ovid 65620 -23 +ulysses white 65627 -24 +sarah white 65640 -13 +calvin young 65643 -25 +victor thompson 65651 -42 +calvin johnson 65653 -53 +irene polk 65668 -45 +zach underhill 65693 -38 +quinn hernandez 65706 -27 +rachel ovid 65713 -24 +gabriella falkner 65731 -7 +zach white 65733 -8 +fred hernandez 65737 -7 +rachel ellison 65738 -6 +oscar steinbeck 65741 -6 +alice ellison 65744 -8 +tom allen 65744 -19 +quinn quirinius 65747 -31 +victor hernandez 65752 -26 +holly xylophone 65763 -26 +david davidson 65778 65778 +ulysses young 65778 65778 +sarah brown 65789 65789 +xavier brown 65541 -16 +zach hernandez 65542 -18 +katie ichabod 65547 -19 +oscar young 65557 -15 +holly white 65560 -14 +priscilla laertes 65566 -9 +ethan king 65572 -6 +zach hernandez 65574 -10 +oscar thompson 65575 -13 +victor xylophone 65578 -16 +gabriella ellison 65584 -26 +nick quirinius 65588 -22 +holly robinson 65594 -18 +alice xylophone 65610 -16 +yuri brown 65610 -21 +sarah hernandez 65612 -26 +katie garcia 65626 -28 +jessica laertes 65631 -23 +ethan underhill 65638 -17 +irene young 65654 -37 +priscilla thompson 65654 -40 +luke quirinius 65655 -44 +david brown 65691 -20 +luke falkner 65694 -18 +priscilla miller 65699 -20 +rachel robinson 65711 -9 +ethan polk 65712 -10 +wendy brown 65719 -13 +mike underhill 65720 -18 +zach underhill 65722 -26 +nick zipper 65732 -20 +fred brown 65738 -18 +ulysses young 65748 -23 +nick davidson 65752 -19 +fred zipper 65756 -15 +yuri nixon 65771 -10 +zach hernandez 65771 -19 +zach zipper 65771 65771 +alice underhill 65781 65781 +oscar laertes 65790 65790 +sarah zipper 65546 -19 +bob falkner 65551 -17 +luke ovid 65551 -17 +katie allen 65565 -4 +nick falkner 65568 -5 +zach steinbeck 65568 -11 +oscar van buren 65569 -13 +gabriella young 65573 -11 +jessica ichabod 65579 -24 +david garcia 65582 -24 +nick xylophone 65584 -27 +calvin johnson 65603 -14 +xavier zipper 65606 -50 +alice nixon 65611 -58 +jessica laertes 65617 -62 +fred king 65656 -61 +priscilla underhill 65669 -48 +priscilla zipper 65679 -45 +nick king 65717 -11 +sarah polk 65717 -17 +irene quirinius 65724 -28 +tom laertes 65728 -25 +yuri johnson 65734 -27 +PREHOOK: query: explain vectorization detail +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: b (type: bigint), si (type: smallint), s (type: string), d (type: double) + sort order: ++++ + Map-reduce partition columns: b (type: bigint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 3, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey3 (type: double), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col1, _col3, _col5, _col7 + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col3: bigint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col7 ASC NULLS FIRST, _col5 ASC NULLS FIRST + partition by: _col3 + raw input shape: + window functions: + window function definition + alias: lag_window_0 + arguments: _col5, 3 + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col5 (type: double), (UDFToDouble(_col1) - lag_window_0) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8479 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 12000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 12000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, d, si - lag(d, 3) over (partition by b order by si,s,d) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si d _c3 +jessica ellison 262 30.41 NULL +david young 266 45.12 NULL +jessica steinbeck 274 2.15 NULL +david zipper 275 43.45 244.59 +zach nixon 283 15.95 237.88 +holly allen 285 24.37 282.85 +irene garcia 292 33.54 248.55 +ulysses xylophone 292 44.66 276.05 +irene van buren 309 35.81 284.63 +sarah miller 312 6.65 278.46 +victor garcia 312 39.14 267.34000000000003 +ethan ichabod 319 29.4 283.19 +wendy falkner 322 10.02 315.35 +oscar miller 324 25.95 284.86 +david ovid 332 28.34 302.6 +alice zipper 333 3.38 322.98 +yuri nixon 333 8.28 307.05 +ulysses nixon 335 18.48 306.66 +david ovid 336 9.36 332.62 +calvin falkner 337 17.63 328.72 +katie quirinius 349 11.3 330.52 +quinn miller 351 22.46 341.64 +victor xylophone 357 38.58 339.37 +ethan garcia 368 9.2 356.7 +nick steinbeck 395 37.54 372.54 +ulysses ichabod 415 47.61 376.42 +rachel thompson 416 37.99 406.8 +calvin young 418 47.22 380.46 +katie xylophone 425 32.59 377.39 +nick quirinius 429 19.63 391.01 +ethan ellison 453 47.92 405.78 +irene nixon 454 48.03 421.40999999999997 +bob steinbeck 462 47.04 442.37 +luke robinson 462 47.48 414.08 +gabriella steinbeck 467 9.35 418.97 +tom hernandez 467 29.36 419.96 +irene polk 485 14.26 437.52 +mike xylophone 494 36.92 484.65 +calvin allen 499 39.99 469.64 +quinn steinbeck 503 16.62 488.74 +calvin thompson 263 30.87 NULL +rachel quirinius 263 29.46 NULL +ulysses garcia 263 31.85 NULL +mike steinbeck 266 48.57 235.13 +rachel young 275 14.75 245.54 +tom king 278 31.11 246.15 +oscar robinson 283 30.35 234.43 +zach allen 284 1.88 269.25 +bob king 308 27.61 276.89 +ulysses allen 310 22.77 279.65 +fred nixon 317 0.48 315.12 +gabriella robinson 321 0.33 293.39 +bob johnson 325 9.61 302.23 +rachel davidson 335 2.34 334.52 +fred brown 337 5.8 336.67 +wendy ellison 350 20.25 340.39 +zach falkner 391 13.67 388.66 +katie xylophone 410 39.09 404.2 +holly king 413 3.56 392.75 +sarah van buren 417 7.81 403.33 +calvin van buren 430 36.01 390.90999999999997 +katie white 434 33.56 430.44 +oscar quirinius 454 7.03 446.19 +zach young 505 18.19 468.99 +gabriella robinson 506 12.8 472.44 +sarah xylophone 507 16.09 499.97 +rachel thompson 267 46.87 NULL +gabriella van buren 271 41.04 NULL +mike steinbeck 284 11.44 NULL +ethan ovid 293 2.08 246.13 +luke falkner 293 40.67 251.96 +irene nixon 321 24.35 309.56 +mike van buren 327 2.58 324.92 +ulysses robinson 329 26.64 288.33 +quinn laertes 332 10.71 307.65 +tom polk 346 34.03 343.42 +jessica johnson 352 45.71 325.36 +xavier davidson 354 33.9 343.29 +wendy nixon 364 29.42 329.97 +jessica quirinius 375 47.33 329.29 +xavier brown 376 26.17 342.1 +gabriella davidson 383 18.87 353.58 +jessica brown 388 34.09 340.67 +gabriella garcia 391 32.44 364.83 +ethan miller 396 49.07 377.13 +bob garcia 416 7.82 381.90999999999997 +priscilla hernandez 416 29.94 383.56 +holly nixon 419 17.81 369.93 +nick underhill 429 39.54 421.18 +xavier falkner 434 0.88 404.06 +luke robinson 461 44.02 443.19 +bob underhill 465 22.58 425.46 +ulysses king 483 37.98 482.12 +jessica miller 486 26.14 441.98 +bob ovid 493 9.7 470.42 +alice falkner 500 37.85 462.02 +quinn xylophone 267 49.8 NULL +gabriella thompson 268 17.15 NULL +calvin xylophone 275 49.32 NULL +gabriella zipper 279 30.41 229.2 +PREHOOK: query: explain vectorization detail +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: f (type: float), b (type: bigint) + sort order: ++ + Map-reduce partition columns: f (type: float) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey0 (type: float), VALUE._col5 (type: string) + outputColumnNames: _col3, _col4, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: lag_window_0 + arguments: _col7, 3, 'fred' + name: lag + window function: GenericUDAFLagEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), lag_window_0 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, lag(s, 3, 'fred') over (partition by f order by b) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s lag_window_0 +yuri thompson fred +bob ichabod fred +luke king fred +luke steinbeck fred +fred zipper fred +quinn miller fred +calvin van buren fred +holly steinbeck fred +david davidson fred +calvin thompson fred +calvin quirinius fred +david ovid fred +holly thompson fred +nick zipper fred +victor steinbeck fred +victor robinson fred +zach ovid fred +ulysses zipper fred +luke falkner fred +irene thompson fred +yuri johnson fred +ulysses falkner fred +gabriella robinson fred +alice robinson fred +priscilla xylophone fred +david laertes fred +mike underhill fred +victor van buren fred +holly falkner fred +priscilla falkner fred +ethan ovid fred +luke zipper fred +mike steinbeck fred +calvin white fred +alice quirinius fred +irene miller fred +wendy polk fred +nick young fred +yuri davidson fred +ethan ellison fred +zach hernandez fred +wendy miller fred +katie underhill fred +irene zipper fred +holly allen fred +quinn brown fred +calvin ovid fred +zach robinson fred +nick miller fred +mike allen fred +yuri van buren fred +priscilla young fred +zach miller fred +victor xylophone fred +sarah falkner fred +rachel ichabod fred +alice robinson fred +calvin ovid fred +calvin ovid fred +luke laertes fred +david hernandez fred +alice ovid fred +luke quirinius fred +oscar white fred +zach falkner fred +rachel thompson fred +priscilla king fred +xavier polk fred +wendy ichabod fred +rachel ovid fred +wendy allen fred +luke brown fred +mike brown fred +oscar ichabod fred +xavier garcia fred +yuri brown fred +bob xylophone fred +luke davidson fred +ethan quirinius fred +zach davidson fred +irene miller fred +wendy king fred +bob zipper fred +sarah thompson fred +bob carson fred +bob laertes fred +xavier allen fred +sarah robinson fred +david king fred +oscar davidson fred +victor hernandez fred +wendy polk fred +david ellison fred +ulysses johnson fred +jessica ovid fred +bob king fred +ulysses garcia fred +irene falkner fred +holly robinson fred +yuri white fred +PREHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_type (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string), p_type (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col2, _col4, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2, _col4 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr, p_type order by p_mfgr) from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr avg_window_0 +Manufacturer#1 1753.76 +Manufacturer#1 1632.66 +Manufacturer#1 1602.59 +Manufacturer#1 1173.15 +Manufacturer#1 1173.15 +Manufacturer#1 1414.42 +Manufacturer#2 1800.7 +Manufacturer#2 1690.68 +Manufacturer#2 2031.98 +Manufacturer#2 1698.66 +Manufacturer#2 1701.6 +Manufacturer#3 1922.98 +Manufacturer#3 1410.39 +Manufacturer#3 1671.68 +Manufacturer#3 1190.27 +Manufacturer#3 1337.29 +Manufacturer#4 1844.92 +Manufacturer#4 1375.42 +Manufacturer#4 1620.67 +Manufacturer#4 1206.26 +Manufacturer#4 1290.35 +Manufacturer#5 1018.1 +Manufacturer#5 1464.48 +Manufacturer#5 1789.69 +Manufacturer#5 1788.73 +Manufacturer#5 1611.66 +PREHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_type (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_retailprice (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 4, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col5 (type: double) + outputColumnNames: _col2, _col4, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col4: string, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col7 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, avg(p_retailprice) over(partition by p_mfgr order by p_type,p_mfgr rows between unbounded preceding and current row) from part +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr avg_window_0 +Manufacturer#1 1753.76 +Manufacturer#1 1693.21 +Manufacturer#1 1663.0033333333333 +Manufacturer#1 1540.54 +Manufacturer#1 1467.062 +Manufacturer#1 1458.2883333333332 +Manufacturer#2 1800.7 +Manufacturer#2 1745.69 +Manufacturer#2 1841.1200000000001 +Manufacturer#2 1805.505 +Manufacturer#2 1784.7240000000002 +Manufacturer#3 1922.98 +Manufacturer#3 1666.685 +Manufacturer#3 1668.3500000000001 +Manufacturer#3 1548.83 +Manufacturer#3 1506.522 +Manufacturer#4 1844.92 +Manufacturer#4 1610.17 +Manufacturer#4 1613.67 +Manufacturer#4 1511.8175 +Manufacturer#4 1467.5240000000001 +Manufacturer#5 1018.1 +Manufacturer#5 1241.29 +Manufacturer#5 1424.0900000000001 +Manufacturer#5 1515.25 +Manufacturer#5 1534.532 +PREHOOK: query: create table t1 (a1 int, b1 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@t1 +POSTHOOK: query: create table t1 (a1 int, b1 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@t1 +PREHOOK: query: create table t2 (a1 int, b1 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@t2 +POSTHOOK: query: create table t2 (a1 int, b1 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@t2 +PREHOOK: query: explain vectorization detail +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-0 depends on stages: Stage-2 + Stage-3 depends on stages: Stage-0 + Stage-1 depends on stages: Stage-2 + Stage-4 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), i (type: int) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: bigint), _col7 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: UDFToInteger(_col0) (type: int), _col1 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t1 + Select Operator + expressions: UDFToInteger(_col0) (type: int), _col1 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t2 + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t1 + + Stage: Stage-3 + Stats-Aggr Operator + + Stage: Stage-1 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.t2 + + Stage: Stage-4 + Stats-Aggr Operator + +PREHOOK: query: from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +PREHOOK: Output: default@t1 +PREHOOK: Output: default@t2 +POSTHOOK: query: from (select sum(i) over (partition by ts order by i), s from over10k) tt insert overwrite table t1 select * insert overwrite table t2 select * +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +POSTHOOK: Output: default@t1 +POSTHOOK: Output: default@t2 +POSTHOOK: Lineage: t1.a1 SCRIPT [(over10k)over10k.FieldSchema(name:t, type:tinyint, comment:null), (over10k)over10k.FieldSchema(name:si, type:smallint, comment:null), (over10k)over10k.FieldSchema(name:i, type:int, comment:null), (over10k)over10k.FieldSchema(name:b, type:bigint, comment:null), (over10k)over10k.FieldSchema(name:f, type:float, comment:null), (over10k)over10k.FieldSchema(name:d, type:double, comment:null), (over10k)over10k.FieldSchema(name:bo, type:boolean, comment:null), (over10k)over10k.FieldSchema(name:s, type:string, comment:null), (over10k)over10k.FieldSchema(name:ts, type:timestamp, comment:null), (over10k)over10k.FieldSchema(name:dec, type:decimal(4,2), comment:null), (over10k)over10k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: t1.b1 SIMPLE [(over10k)over10k.FieldSchema(name:s, type:string, comment:null), ] +POSTHOOK: Lineage: t2.a1 SCRIPT [(over10k)over10k.FieldSchema(name:t, type:tinyint, comment:null), (over10k)over10k.FieldSchema(name:si, type:smallint, comment:null), (over10k)over10k.FieldSchema(name:i, type:int, comment:null), (over10k)over10k.FieldSchema(name:b, type:bigint, comment:null), (over10k)over10k.FieldSchema(name:f, type:float, comment:null), (over10k)over10k.FieldSchema(name:d, type:double, comment:null), (over10k)over10k.FieldSchema(name:bo, type:boolean, comment:null), (over10k)over10k.FieldSchema(name:s, type:string, comment:null), (over10k)over10k.FieldSchema(name:ts, type:timestamp, comment:null), (over10k)over10k.FieldSchema(name:dec, type:decimal(4,2), comment:null), (over10k)over10k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: t2.b1 SIMPLE [(over10k)over10k.FieldSchema(name:s, type:string, comment:null), ] +_col0 _col1 +PREHOOK: query: select * from t1 limit 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@t1 +#### A masked pattern was here #### +POSTHOOK: query: select * from t1 limit 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@t1 +#### A masked pattern was here #### +t1.a1 t1.b1 +65542 rachel thompson +131088 oscar brown +262258 wendy steinbeck +PREHOOK: query: select * from t2 limit 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@t2 +#### A masked pattern was here #### +POSTHOOK: query: select * from t2 limit 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@t2 +#### A masked pattern was here #### +t2.a1 t2.b1 +65542 rachel thompson +131088 oscar brown +262258 wendy steinbeck +PREHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_retailprice (type: double) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + value expressions: p_size (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [2, 5, 7] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: string, _col5: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col7 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: sum_window_1 + arguments: lag(...) + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + window function definition + alias: last_value_window_2 + arguments: _col7 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Lead/Lag information: lag(...) (type: double) + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col7 (type: double), _col5 (type: int), ((round(sum_window_0, 2) + 50.0) = round((sum_window_1 + last_value_window_2), 2)) (type: boolean) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 11 + Statistics: Num rows: 11 Data size: 1331 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 11 Data size: 1331 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 11 + Processor Tree: + ListSink + +PREHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_retailprice, p_size, +round(sum(p_retailprice) over w1 , 2) + 50.0 = round(sum(lag(p_retailprice,1,50.0)) over w1 + (last_value(p_retailprice) over w1),2) +from part +window w1 as (distribute by p_mfgr sort by p_retailprice) +limit 11 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +p_mfgr p_retailprice p_size _c3 +Manufacturer#1 1173.15 2 true +Manufacturer#1 1173.15 2 true +Manufacturer#1 1414.42 28 true +Manufacturer#1 1602.59 6 true +Manufacturer#1 1632.66 42 true +Manufacturer#1 1753.76 34 true +Manufacturer#2 1690.68 14 true +Manufacturer#2 1698.66 25 true +Manufacturer#2 1701.6 18 true +Manufacturer#2 1800.7 40 true +Manufacturer#2 2031.98 2 true diff --git ql/src/test/results/clientpositive/vector_windowing_gby.q.out ql/src/test/results/clientpositive/vector_windowing_gby.q.out new file mode 100644 index 0000000..8ddd2ff --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_gby.q.out @@ -0,0 +1,252 @@ +PREHOOK: query: explain vectorization detail + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail + select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: value (type: string), c_int (type: int), c_boolean (type: boolean) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: boolean) + TableScan + alias: wr + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cstring1 is not null (type: boolean) + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cint (type: int), cstring1 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col3), sum(_col1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col2 (type: boolean) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: boolean) + sort order: + + Map-reduce partition columns: _col0 (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:boolean, _col1:bigint, _col2:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: boolean) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: bigint), _col2 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: 0 (type: int), (UDFToDouble(_col1) / UDFToDouble(_col2)) (type: double) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: _col1:bigint, _col2:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, double, double, double, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: (UDFToDouble(_col1) / UDFToDouble(_col2)) ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: (UDFToDouble(_col1) / UDFToDouble(_col2)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by return_ratio) as return_rank from + (select sum(wr.cint)/sum(ws.c_int) as return_ratio + from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 + group by ws.c_boolean ) in_web +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank diff --git ql/src/test/results/clientpositive/vector_windowing_gby2.q.out ql/src/test/results/clientpositive/vector_windowing_gby2.q.out new file mode 100644 index 0000000..b063d3a --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_gby2.q.out @@ -0,0 +1,1015 @@ +PREHOOK: query: explain vectorization detail +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: key (type: string), c_int (type: int) + outputColumnNames: key, c_int + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 2] + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(c_int) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0] + keys: key (type: string) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 2] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: bigint) + outputColumnNames: _col1 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0] + Reduce Output Operator + key expressions: 0 (type: int), _col1 (type: bigint) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + includeColumns: [0] + dataColumns: _col1:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint) + outputColumnNames: _col1 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by ws.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank +1 +2 +2 +2 +5 +5 +7 +PREHOOK: query: explain vectorization detail +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: UDFToInteger(key) (type: int), value (type: string), c_int (type: int) + outputColumnNames: _col0, _col1, _col2 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [5, 1, 2] + selectExpressions: CastStringToLong(col 0) -> 5:int + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(_col1), sum(_col2) + Group By Vectorization: + aggregators: VectorUDAFMinString(col 1) -> string, VectorUDAFSumLong(col 2) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 5 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1] + keys: _col0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + scratchColumnTypeNames: bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: min(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col1 (type: string), _col2 (type: bigint) + sort order: ++ + Map-reduce partition columns: _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:int, _col1:string, _col2:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col0 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: avg_window_0 (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select avg(cast(ws.key as int)) over (partition by min(ws.value) order by sum(ws.c_int)) as return_rank +from cbo_t3 ws +group by cast(ws.key as int) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank +NULL +1.0 +2.0 +3.0 +PREHOOK: query: explain vectorization detail +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-4 depends on stages: Stage-3 + Stage-0 depends on stages: Stage-4 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: cbo_t3 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Select Operator + expressions: key (type: string), value (type: string), (UDFToFloat(c_int) - c_float) (type: float), (UDFToDouble(c_float) / UDFToDouble(c_int)) (type: double), c_int (type: int), ((UDFToDouble(c_float) / UDFToDouble(c_int)) - UDFToDouble(c_int)) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumns: [0, 1, 6, 7, 2, 9] + selectExpressions: DoubleColSubtractDoubleColumn(col 5, col 3)(children: CastLongToFloatViaLongToDouble(col 2) -> 5:double) -> 6:double, DoubleColDivideDoubleColumn(col 3, col 5)(children: col 3, CastLongToDouble(col 2) -> 5:double) -> 7:double, DoubleColSubtractDoubleColumn(col 8, col 5)(children: DoubleColDivideDoubleColumn(col 3, col 5)(children: col 3, CastLongToDouble(col 2) -> 5:double) -> 8:double, CastLongToDouble(col 2) -> 5:double) -> 9:double + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col2), sum(_col3), max(_col4), sum(_col5) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 6) -> double, VectorUDAFSumDouble(col 7) -> double, VectorUDAFMaxLong(col 2) -> int, VectorUDAFSumDouble(col 9) -> double + className: VectorGroupByOperator + groupByMode: HASH + vectorOutput: true + keyExpressions: col 0, col 1 + native: false + vectorProcessingMode: HASH + projectedOutputColumns: [0, 1, 2, 3] + keys: _col0 (type: string), _col1 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: double), _col3 (type: double), _col4 (type: int), _col5 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2, 3] + dataColumns: key:string, value:string, c_int:int, c_float:float, c_boolean:boolean + partitionColumnCount: 0 + scratchColumnTypeNames: double, double, double, double, double + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), max(VALUE._col2), sum(VALUE._col3) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5] + Reduce Output Operator + key expressions: _col0 (type: string), _col2 (type: double) + sort order: +- + Map-reduce partition columns: _col0 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col3 (type: double), _col4 (type: int), _col5 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 6 + includeColumns: [0, 1, 2, 3, 4, 5] + dataColumns: _col0:string, _col1:string, _col2:double, _col3:double, _col4:int, _col5:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), KEY.reducesinkkey1 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: int), VALUE._col3 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: double, _col3: double, _col4: int, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col2 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: string), _col3 (type: double), _col4 (type: int), _col5 (type: double) + outputColumnNames: rank_window_0, _col1, _col3, _col4, _col5 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4] + Reduce Output Operator + key expressions: lower(_col1) (type: string), _col3 (type: double) + sort order: ++ + Map-reduce partition columns: lower(_col1) (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col1 (type: string), _col4 (type: int), _col5 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 5 + includeColumns: [0, 1, 2, 3, 4] + dataColumns: rank_window_0:int, _col1:string, _col3:double, _col4:int, _col5:double + partitionColumnCount: 0 + scratchColumnTypeNames: string, string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col2 (type: string), KEY.reducesinkkey1 (type: double), VALUE._col4 (type: int), VALUE._col5 (type: double) + outputColumnNames: _col0, _col2, _col4, _col5, _col6 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: string, _col4: double, _col5: int, _col6: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: lower(_col2) + raw input shape: + window functions: + window function definition + alias: dense_rank_window_1 + arguments: _col4 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: dense_rank_window_1 (type: int), _col0 (type: int), _col5 (type: int), _col6 (type: double) + outputColumnNames: dense_rank_window_1, _col0, _col5, _col6 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-4 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col5 (type: int), _col6 (type: double) + sort order: ++ + Map-reduce partition columns: _col5 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + value expressions: dense_rank_window_1 (type: int), _col0 (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: dense_rank_window_1:int, _col0:int, _col5:int, _col6:double + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col1, _col6, _col7 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: int, _col6: int, _col7: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: percent_rank_window_2 + arguments: _col7 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: int), _col0 (type: int), percent_rank_window_2 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +PREHOOK: type: QUERY +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank () over(partition by key order by sum(c_int - c_float) desc) , +dense_rank () over(partition by lower(value) order by sum(c_float/c_int) asc), +percent_rank () over(partition by max(c_int) order by sum((c_float/c_int) - c_int) asc) +from cbo_t3 +group by key, value +POSTHOOK: type: QUERY +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +_c0 _c1 _c2 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +1 1 0.0 +PREHOOK: query: explain vectorization detail +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: ws + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: value (type: string), c_int (type: int), c_boolean (type: boolean) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 20 Data size: 262 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: boolean) + TableScan + alias: wr + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cstring1 is not null (type: boolean) + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cint (type: int), cstring1 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col3), sum(_col1) + Group By Vectorization: + groupByMode: HASH + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: _col2 (type: boolean) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: _col0 (type: boolean) + sort order: + + Map-reduce partition columns: _col0 (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 13516 Data size: 2906160 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: _col0:boolean, _col1:bigint, _col2:bigint + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + Group By Vectorization: + groupByMode: MERGEPARTIAL + vectorOutput: false + native: false + vectorProcessingMode: NONE + projectedOutputColumns: null + keys: KEY._col0 (type: boolean) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: bigint), _col2 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: 0 (type: int), (UDFToDouble(_col1) / UDFToDouble(_col2)) (type: double) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: _col1:bigint, _col2:bigint + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, double, double, double, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: bigint, _col2: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: (UDFToDouble(_col1) / UDFToDouble(_col2)) ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: (UDFToDouble(_col1) / UDFToDouble(_col2)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +POSTHOOK: query: select rank() over (order by sum(wr.cint)/sum(ws.c_int)) as return_rank +from cbo_t3 ws join alltypesorc wr on ws.value = wr.cstring1 +group by ws.c_boolean +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Input: default@cbo_t3 +#### A masked pattern was here #### +return_rank diff --git ql/src/test/results/clientpositive/vector_windowing_multipartitioning.q.out ql/src/test/results/clientpositive/vector_windowing_multipartitioning.q.out new file mode 100644 index 0000000..4099461 --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_multipartitioning.q.out @@ -0,0 +1,11288 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by si), sum(b) over (partition by s order by si) from over10k +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: b (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), VALUE._col2 (type: bigint), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col3, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + window function definition + alias: sum_window_1 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), rank_window_0 (type: int), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + 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81604380855 +zach young 20 85899348152 +zach zipper 1 4294967463 +zach zipper 2 8589934869 +zach zipper 3 12884902205 +zach zipper 4 17179869532 +zach zipper 5 21474836833 +zach zipper 6 25769804330 +zach zipper 7 30064771763 +zach zipper 8 34359739121 +zach zipper 9 38654706613 +zach zipper 10 42949674099 +zach zipper 11 51539608747 +zach zipper 11 51539608747 +zach zipper 13 55834576089 +zach zipper 14 60129543514 +zach zipper 15 64424510915 +zach zipper 16 68719478282 +zach zipper 17 73014445613 +zach zipper 18 77309413123 +PREHOOK: query: explain vectorization detail +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 3913 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), dec (type: decimal(4,2)) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + value expressions: b (type: bigint), ts (type: timestamp) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 7, 8, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col3 (type: bigint), KEY.reducesinkkey0 (type: string), VALUE._col7 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col3, _col7, _col8, _col9 + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col7: string, _col8: timestamp, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col9 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col3 (type: bigint), _col7 (type: string), _col8 (type: timestamp) + outputColumnNames: rank_window_0, _col3, _col7, _col8 + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col7 (type: string), _col8 (type: timestamp) + sort order: +- + Map-reduce partition columns: _col7 (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col3 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: rank_window_0:int, _col3:bigint, _col7:string, _col8:timestamp + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), VALUE._col4 (type: bigint), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: timestamp) + outputColumnNames: _col0, _col4, _col8, _col9 + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col4: bigint, _col8: string, _col9: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 DESC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_1 + arguments: _col4 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), sum_window_1 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 3912 Data size: 1017283 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, +rank() over (partition by s order by `dec` desc), +sum(b) over (partition by s order by ts desc) +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 sum_window_1 +bob steinbeck 11 47244642041 +bob steinbeck 1 47244642041 +bob steinbeck 2 47244642041 +bob steinbeck 7 47244642041 +bob steinbeck 8 47244642041 +bob steinbeck 9 47244642041 +bob steinbeck 6 47244642041 +bob steinbeck 10 47244642041 +bob steinbeck 3 47244642041 +bob steinbeck 4 47244642041 +bob steinbeck 5 47244642041 +tom allen 9 81604381169 +tom allen 3 81604381169 +tom allen 7 81604381169 +tom allen 16 81604381169 +tom allen 8 81604381169 +tom allen 10 81604381169 +tom allen 15 81604381169 +tom allen 2 81604381169 +tom allen 6 81604381169 +tom allen 18 81604381169 +tom allen 1 81604381169 +tom allen 5 81604381169 +tom allen 19 81604381169 +tom allen 17 81604381169 +tom allen 11 81604381169 +tom allen 4 81604381169 +tom allen 12 81604381169 +tom allen 13 81604381169 +tom allen 14 81604381169 +PREHOOK: query: explain vectorization detail +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string) + sort order: + + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), i (type: int), f (type: float) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col2 (type: int), VALUE._col4 (type: float), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col4, _col7 + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: bigint), _col1 (type: smallint), _col4 (type: float), _col7 (type: string) + outputColumnNames: sum_window_0, _col1, _col4, _col7 + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col1 (type: smallint) + sort order: + + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_0 (type: bigint), _col4 (type: float), _col7 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: sum_window_0:bigint, _col1:smallint, _col4:float, _col7:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: smallint), VALUE._col4 (type: float), VALUE._col7 (type: string) + outputColumnNames: _col0, _col2, _col5, _col8 + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: bigint, _col2: smallint, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_1 + arguments: _col5 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: bigint), sum_window_1 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9084 Data size: 1017431 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(i) over (partition by s), sum(f) over (partition by si) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 sum_window_1 +tom allen 1248023 47.16999816894531 +tom allen 1248023 77.77999877929688 +tom allen 1248023 11.069999694824219 +bob steinbeck 722083 83.52999877929688 +bob steinbeck 722083 38.33000183105469 +bob steinbeck 722083 28.479999542236328 +tom allen 1248023 2.8499999046325684 +tom allen 1248023 19.459999084472656 +bob steinbeck 722083 26.290000915527344 +tom allen 1248023 26.239999771118164 +bob steinbeck 722083 36.209999084472656 +tom allen 1248023 95.41000366210938 +tom allen 1248023 89.88999938964844 +tom allen 1248023 14.510000228881836 +bob steinbeck 722083 83.52999877929688 +tom allen 1248023 38.93000030517578 +tom allen 1248023 83.47000122070312 +tom allen 1248023 81.8499984741211 +bob steinbeck 722083 47.810001373291016 +tom allen 1248023 15.84000015258789 +tom allen 1248023 52.779998779296875 +tom allen 1248023 39.4900016784668 +bob steinbeck 722083 80.7300033569336 +tom allen 1248023 11.300000190734863 +tom allen 1248023 68.46999740600586 +bob steinbeck 722083 68.46999740600586 +bob steinbeck 722083 9.699999809265137 +tom allen 1248023 55.38999938964844 +bob steinbeck 722083 132.82000350952148 +tom allen 1248023 132.82000350952148 +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), bo (type: boolean) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), bin (type: binary) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 6, 7, 10] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey0 (type: string), VALUE._col8 (type: binary) + outputColumnNames: _col1, _col6, _col7, _col10 + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col6: boolean, _col7: string, _col10: binary + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col6 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: smallint), _col7 (type: string), _col10 (type: binary) + outputColumnNames: rank_window_0, _col1, _col7, _col10 + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col1 (type: smallint), _col10 (type: binary) + sort order: +- + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col7 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: rank_window_0:int, _col1:smallint, _col7:string, _col10:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: smallint), VALUE._col7 (type: string), KEY.reducesinkkey1 (type: binary) + outputColumnNames: _col0, _col2, _col8, _col11 + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: smallint, _col8: string, _col11: binary + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col11 DESC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_1 + arguments: _col11 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4892 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over (partition by s order by bo), rank() over (partition by si order by bin desc) from over10k +where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 rank_window_1 +tom allen 1 1 +tom allen 1 1 +tom allen 7 1 +bob steinbeck 1 1 +bob steinbeck 5 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 1 1 +bob steinbeck 5 1 +tom allen 1 1 +bob steinbeck 1 1 +tom allen 7 1 +tom allen 1 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 5 1 +tom allen 7 1 +tom allen 7 1 +bob steinbeck 1 2 +bob steinbeck 5 1 +tom allen 1 1 +bob steinbeck 1 1 +tom allen 7 2 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: i (type: int) + sort order: + + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + value expressions: f (type: float), s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col3 (type: float), VALUE._col6 (type: string) + outputColumnNames: _col2, _col4, _col7 + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: sum_window_0 (type: double), _col4 (type: float), _col7 (type: string) + outputColumnNames: sum_window_0, _col4, _col7 + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2] + Reduce Output Operator + key expressions: 0 (type: int), _col4 (type: float) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + value expressions: sum_window_0 (type: double), _col7 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 3 + includeColumns: [0, 1, 2] + dataColumns: sum_window_0:double, _col4:float, _col7:string + partitionColumnCount: 0 + scratchColumnTypeNames: bigint, bigint + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: double), KEY.reducesinkkey1 (type: float), VALUE._col7 (type: string) + outputColumnNames: _col0, _col5, _col8 + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: double, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: row_number_window_1 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: double), row_number_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9420 Data size: 1017435 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by i), row_number() over (order by f) from over10k where s = 'tom allen' or s = 'bob steinbeck' +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 row_number_window_1 +tom allen 2.8499999046325684 1 +bob steinbeck 9.699999809265137 2 +tom allen 11.069999694824219 3 +tom allen 11.300000190734863 4 +tom allen 54.00000190734863 5 +tom allen 15.84000015258789 6 +tom allen 19.459999084472656 7 +tom allen 26.239999771118164 8 +bob steinbeck 26.290000915527344 9 +bob steinbeck 27.959999084472656 10 +bob steinbeck 28.479999542236328 11 +bob steinbeck 36.209999084472656 12 +bob steinbeck 38.33000183105469 13 +tom allen 38.93000030517578 14 +tom allen 54.00000190734863 15 +tom allen 40.5099983215332 16 +tom allen 47.16999816894531 17 +bob steinbeck 47.810001373291016 18 +tom allen 50.630001068115234 19 +tom allen 52.779998779296875 20 +tom allen 55.38999938964844 21 +tom allen 77.77999877929688 22 +bob steinbeck 80.7300033569336 23 +tom allen 81.8499984741211 24 +bob steinbeck 82.19000244140625 25 +tom allen 83.47000122070312 26 +bob steinbeck 83.52999877929688 27 +bob steinbeck 83.52999877929688 28 +tom allen 89.88999938964844 29 +tom allen 95.41000366210938 30 +PREHOOK: query: explain vectorization detail +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4625 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 7, val tom allen) -> boolean, FilterStringGroupColEqualStringScalar(col 7, val bob steinbeck) -> boolean) -> boolean + predicate: ((s = 'tom allen') or (s = 'bob steinbeck')) (type: boolean) + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: s (type: string), dec (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), f (type: float) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 4, 7, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col4 (type: float), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col1, _col4, _col7, _col9 + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col4: float, _col7: string, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col9 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col9 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: rank_window_0 (type: int), _col1 (type: smallint), _col4 (type: float), _col7 (type: string) + outputColumnNames: rank_window_0, _col1, _col4, _col7 + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3] + Reduce Output Operator + key expressions: _col1 (type: smallint), _col4 (type: float) + sort order: ++ + Map-reduce partition columns: _col1 (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + value expressions: rank_window_0 (type: int), _col7 (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: rank_window_0:int, _col1:smallint, _col4:float, _col7:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string) + outputColumnNames: _col0, _col2, _col5, _col8 + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col2: smallint, _col5: float, _col8: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_1 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col0 (type: int), rank_window_1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4624 Data size: 1017323 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over w1, +rank() over w2 +from over10k +where s = 'tom allen' or s = 'bob steinbeck' +window +w1 as (partition by s order by `dec`), +w2 as (partition by si order by f) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s _c1 rank_window_1 +tom allen 14 1 +tom allen 17 1 +tom allen 7 1 +bob steinbeck 1 1 +bob steinbeck 11 1 +bob steinbeck 7 1 +tom allen 12 1 +tom allen 15 1 +bob steinbeck 10 1 +tom allen 13 1 +bob steinbeck 5 1 +tom allen 11 1 +tom allen 2 1 +tom allen 9 1 +bob steinbeck 8 1 +tom allen 3 1 +tom allen 4 1 +tom allen 8 1 +bob steinbeck 3 1 +tom allen 10 1 +tom allen 18 1 +tom allen 19 1 +bob steinbeck 6 1 +tom allen 5 1 +bob steinbeck 9 1 +tom allen 6 2 +bob steinbeck 4 1 +tom allen 16 1 +tom allen 1 1 +bob steinbeck 2 2 diff --git ql/src/test/results/clientpositive/vector_windowing_order_null.q.out ql/src/test/results/clientpositive/vector_windowing_order_null.q.out new file mode 100644 index 0000000..fc594ff --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_order_null.q.out @@ -0,0 +1,989 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over4_null' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over4_null' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), s (type: string), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col2, _col3, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS LAST, _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col7 (type: string), _col3 (type: bigint), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select i, s, b, sum(b) over (partition by i order by s nulls last,b rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +i s b sum_window_0 +NULL alice ichabod NULL NULL +NULL NULL NULL NULL +65534 calvin miller NULL NULL +65534 NULL NULL NULL +65536 alice ichabod 4294967441 4294967441 +65536 alice robinson 4294967476 8589934917 +65536 bob robinson 4294967349 12884902266 +65536 calvin thompson 4294967336 17179869602 +65536 david johnson 4294967490 21474837092 +65536 david laertes 4294967431 25769804523 +PREHOOK: query: explain vectorization detail +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: d (type: double), s (type: string), f (type: float) + sort order: ++- + Map-reduce partition columns: d (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col4, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 DESC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col5 (type: double), _col7 (type: string), _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select d, s, f, sum(f) over (partition by d order by s,f desc nulls first rows unbounded preceding) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +d s f sum_window_0 +NULL alice ichabod NULL NULL +NULL calvin miller NULL NULL +0.01 NULL NULL NULL +0.01 NULL NULL NULL +0.01 calvin miller 8.39 8.390000343322754 +0.02 NULL NULL NULL +0.02 holly polk 5.29 5.289999961853027 +0.02 wendy quirinius 25.5 30.789999961853027 +0.02 yuri laertes 37.59 68.38000011444092 +0.03 nick steinbeck 79.24 79.23999786376953 +PREHOOK: query: explain vectorization detail +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: timestamp), _col7 (type: string), _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, s, f, sum(f) over (partition by ts order by f asc nulls first range between current row and unbounded following) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts s f sum_window_0 +2013-03-01 09:11:58.70307 NULL NULL 1276.850001335144 +2013-03-01 09:11:58.70307 gabriella xylophone 3.17 1276.850001335144 +2013-03-01 09:11:58.70307 calvin brown 10.89 1273.68000125885 +2013-03-01 09:11:58.70307 jessica laertes 14.54 1262.7900009155273 +2013-03-01 09:11:58.70307 yuri allen 14.78 1248.2500009536743 +2013-03-01 09:11:58.70307 tom johnson 17.85 1233.4700012207031 +2013-03-01 09:11:58.70307 bob ovid 20.61 1215.6200008392334 +2013-03-01 09:11:58.70307 fred nixon 28.69 1195.0100002288818 +2013-03-01 09:11:58.70307 oscar brown 29.22 1166.3199996948242 +2013-03-01 09:11:58.70307 calvin laertes 31.17 1137.1000003814697 +PREHOOK: query: explain vectorization detail +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), s (type: string), d (type: double) + sort order: ++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col0, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col5 DESC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(5)~FOLLOWING(5) + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col7 (type: string), _col5 (type: double), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1120 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select t, s, d, avg(d) over (partition by t order by s,d desc nulls first rows between 5 preceding and 5 following) from over10k limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +t s d avg_window_0 +-3 alice allen 29.44 33.20166666666666 +-3 alice davidson 31.52 30.741428571428568 +-3 alice falkner 49.8 27.742499999999996 +-3 alice king 41.5 26.706666666666663 +-3 alice king 30.76 26.306999999999995 +-3 alice xylophone 16.19 24.458181818181814 +-3 bob ellison 15.98 25.029090909090908 +-3 bob falkner 6.75 24.216363636363635 +-3 bob ichabod 18.42 20.173636363636362 +-3 bob johnson 22.71 16.431818181818176 +PREHOOK: query: explain vectorization detail +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: i (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: timestamp), _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 7069 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Offset of rows: 3 + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 1440 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, s, sum(i) over(partition by ts order by s nulls last) from over10k limit 10 offset 3 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts s sum_window_0 +2013-03-01 09:11:58.70307 calvin steinbeck 262874 +2013-03-01 09:11:58.70307 david falkner 328506 +2013-03-01 09:11:58.70307 fred nixon 394118 +2013-03-01 09:11:58.70307 fred zipper 459719 +2013-03-01 09:11:58.70307 gabriella van buren 525334 +2013-03-01 09:11:58.70307 gabriella xylophone 591058 +2013-03-01 09:11:58.70307 jessica laertes 656771 +2013-03-01 09:11:58.70307 jessica polk 722558 +2013-03-01 09:11:58.70307 katie king 788310 +2013-03-01 09:11:58.70307 katie white 853920 +PREHOOK: query: explain vectorization detail +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(sum_window_0, 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(sum(d) over (partition by s order by i desc nulls last) , 3) from over10k limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65536 0.02 +NULL 65534 0.03 +NULL NULL 0.04 +alice allen 65758 23.59 +alice allen 65720 43.98 +PREHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: +- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round((avg_window_0 / 10.0), 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(avg(d) over (partition by s order by i desc nulls last) / 10.0 , 3) from over10k limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65536 0.002 +NULL 65534 0.002 +NULL NULL 0.001 +alice allen 65758 2.359 +alice allen 65720 2.199 +PREHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(((avg_window_0 + 10.0) - (avg_window_0 - 10.0)), 3) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9088 Data size: 1017948 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 5 + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 5 Data size: 560 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 5 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),3) from over10k window w1 as (partition by s order by i nulls last) limit 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +NULL 65534 20.0 +NULL 65536 20.0 +NULL NULL 20.0 +alice allen 65545 20.0 +alice allen 65557 20.0 diff --git ql/src/test/results/clientpositive/vector_windowing_range_multiorder.q.out ql/src/test/results/clientpositive/vector_windowing_range_multiorder.q.out new file mode 100644 index 0000000..ac65a98 --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_range_multiorder.q.out @@ -0,0 +1,12239 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), i (type: int), b (type: bigint) + sort order: +++ + Map-reduce partition columns: si (type: smallint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: t (type: tinyint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 1, 2, 3] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: tinyint), KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col1: smallint, _col2: int, _col3: bigint + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: first_value_window_0 + arguments: _col0 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: first_value_window_0 (type: tinyint) + outputColumnNames: _col0 + Statistics: Num rows: 50877 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 2000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select first_value(t) over ( partition by si order by i, b ) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +first_value_window_0 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +51 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +48 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +47 +PREHOOK: query: explain vectorization detail +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: last_value_window_0 + arguments: _col2 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: RANGE CURRENT~CURRENT + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: last_value_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select last_value(i) over (partition by si, bo order by i, f desc range current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +last_value_window_0 +65543 +65549 +65558 +65580 +65586 +65596 +65616 +65620 +65627 +65640 +65643 +65706 +65713 +65737 +65744 +65752 +65778 +65540 +65563 +65599 +65604 +65613 +65613 +65615 +65651 +65653 +65668 +65693 +65731 +65733 +65738 +65741 +65744 +65747 +65763 +65778 +65789 +65541 +65547 +65560 +65572 +65574 +65575 +65578 +65588 +65594 +65610 +65691 +65694 +65711 +65719 +65722 +65738 +65756 +65790 +65542 +65557 +65566 +65584 +65610 +65612 +65626 +65631 +65638 +65654 +65654 +65655 +65699 +65712 +65720 +65732 +65748 +65752 +65771 +65771 +65771 +65781 +65565 +65569 +65573 +65582 +65584 +65606 +65656 +65669 +65717 +65724 +65728 +65761 +65762 +65770 +65771 +65781 +65546 +65551 +65551 +65568 +65568 +65579 +65603 +PREHOOK: query: explain vectorization detail +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: row_number_window_0 + name: row_number + window function: GenericUDAFRowNumberEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: row_number_window_0 (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select row_number() over (partition by si, bo order by i, f desc range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +row_number_window_0 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +19 +20 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +17 +18 +19 +20 +21 +22 +1 +2 +3 +4 +5 +6 +7 +8 +9 +10 +11 +12 +13 +14 +15 +16 +1 +2 +3 +4 +5 +6 +7 +PREHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string) + sort order: + + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: si (type: smallint), i (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col1 (type: smallint), VALUE._col2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, avg(i) over (partition by s range between unbounded preceding and current row) from over10k +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i avg_window_0 +alice allen 451 65662 65640.125 +alice allen 462 65545 65640.125 +alice allen 501 65720 65640.125 +alice allen 501 65670 65640.125 +alice allen 484 65600 65640.125 +alice allen 472 65609 65640.125 +alice allen 509 65758 65640.125 +alice allen 400 65557 65640.125 +alice brown 425 65570 65696.71428571429 +alice brown 376 65708 65696.71428571429 +alice brown 324 65569 65696.71428571429 +alice brown 302 65711 65696.71428571429 +alice brown 381 65704 65696.71428571429 +alice brown 452 65666 65696.71428571429 +alice brown 346 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avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: +++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i avg_window_0 +alice allen 400 65557 65557.0 +alice allen 451 65662 65609.5 +alice allen 462 65545 65588.0 +alice allen 472 65609 65593.25 +alice allen 484 65600 65594.6 +alice allen 501 65670 65607.16666666667 +alice allen 501 65720 65623.28571428571 +alice allen 509 65758 65640.125 +alice brown 302 65711 65711.0 +alice brown 324 65569 65640.0 +alice brown 332 65781 65687.0 +alice brown 337 65707 65692.0 +alice brown 346 65696 65692.8 +alice brown 376 65708 65695.33333333333 +alice brown 381 65704 65696.57142857143 +alice brown 399 65779 65706.875 +alice brown 409 65667 65702.44444444444 +alice brown 425 65570 65689.2 +alice brown 452 65666 65687.09090909091 +alice brown 471 65733 65690.91666666667 +alice brown 492 65673 65689.53846153847 +alice brown 499 65790 65696.71428571429 +alice carson 268 65713 65713.0 +alice carson 316 65559 65636.0 +alice carson 318 65695 65655.66666666667 +alice carson 376 65576 65635.75 +alice carson 380 65785 65665.6 +alice carson 390 65747 65679.16666666667 +alice carson 404 65710 65683.57142857143 +alice carson 427 65559 65668.0 +alice carson 473 65565 65656.55555555556 +alice carson 508 65545 65645.4 +alice davidson 270 65563 65563.0 +alice davidson 272 65742 65652.5 +alice davidson 287 65747 65684.0 +alice davidson 298 65554 65651.5 +alice davidson 308 65560 65633.2 +alice davidson 321 65677 65640.5 +alice davidson 328 65547 65627.14285714286 +alice davidson 384 65676 65633.25 +alice davidson 402 65544 65623.33333333333 +alice davidson 408 65707 65631.7 +alice davidson 408 65791 65646.18181818182 +alice davidson 423 65740 65654.0 +alice davidson 431 65677 65655.76923076923 +alice davidson 437 65690 65658.21428571429 +alice davidson 445 65590 65653.66666666667 +alice davidson 448 65641 65652.875 +alice davidson 479 65631 65651.58823529411 +alice davidson 487 65596 65648.5 +alice ellison 256 65744 65744.0 +alice ellison 274 65537 65640.5 +alice ellison 296 65741 65674.0 +alice ellison 313 65612 65658.5 +alice ellison 320 65745 65675.8 +alice ellison 331 65557 65656.0 +alice ellison 335 65730 65666.57142857143 +alice ellison 343 65787 65681.625 +alice ellison 354 65698 65683.44444444444 +alice ellison 355 65699 65685.0 +alice ellison 374 65677 65684.27272727272 +alice ellison 403 65544 65672.58333333333 +alice ellison 405 65713 65675.69230769231 +alice ellison 482 65681 65676.07142857143 +alice ellison 490 65572 65669.13333333333 +alice falkner 280 65597 65597.0 +alice falkner 311 65715 65656.0 +alice falkner 323 65669 65660.33333333333 +alice falkner 339 65785 65691.5 +alice falkner 342 65752 65703.6 +alice falkner 345 65773 65715.16666666667 +alice falkner 371 65710 65714.42857142857 +alice falkner 382 65622 65702.875 +alice falkner 382 65690 65701.44444444444 +alice falkner 389 65699 65701.2 +alice falkner 393 65611 65693.0 +alice falkner 393 65685 65692.33333333333 +alice falkner 452 65596 65684.92307692308 +alice falkner 455 65718 65687.28571428571 +alice falkner 477 65722 65689.6 +alice falkner 481 65709 65690.8125 +alice falkner 500 65775 65695.76470588235 +alice garcia 263 65630 65630.0 +alice garcia 299 65623 65626.5 +alice garcia 309 65746 65666.33333333333 +alice garcia 325 65573 65643.0 +alice garcia 331 65734 65661.2 +alice garcia 366 65744 65675.0 +alice garcia 379 65746 65685.14285714286 +alice garcia 388 65675 65683.875 +alice garcia 427 65674 65682.77777777778 +alice garcia 446 65613 65675.8 +alice garcia 446 65759 65683.36363636363 +alice garcia 459 65712 65685.75 +alice garcia 486 65725 65688.76923076923 +alice hernandez 270 65717 65717.0 +alice hernandez 290 65685 65701.0 +alice hernandez 296 65569 65657.0 +alice hernandez 320 65700 65667.75 +alice hernandez 323 65727 65679.6 +PREHOOK: query: explain vectorization detail +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: +++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: min_window_0 + arguments: _col2 + name: min + window function: GenericUDAFMinEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), min_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, min(i) over (partition by s order by si, i range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i min_window_0 +alice allen 400 65557 65557 +alice allen 451 65662 65557 +alice allen 462 65545 65545 +alice allen 472 65609 65545 +alice allen 484 65600 65545 +alice allen 501 65670 65545 +alice allen 501 65720 65545 +alice allen 509 65758 65545 +alice brown 302 65711 65711 +alice brown 324 65569 65569 +alice brown 332 65781 65569 +alice brown 337 65707 65569 +alice brown 346 65696 65569 +alice brown 376 65708 65569 +alice brown 381 65704 65569 +alice brown 399 65779 65569 +alice brown 409 65667 65569 +alice brown 425 65570 65569 +alice brown 452 65666 65569 +alice brown 471 65733 65569 +alice brown 492 65673 65569 +alice brown 499 65790 65569 +alice carson 268 65713 65713 +alice carson 316 65559 65559 +alice carson 318 65695 65559 +alice carson 376 65576 65559 +alice carson 380 65785 65559 +alice carson 390 65747 65559 +alice carson 404 65710 65559 +alice carson 427 65559 65559 +alice carson 473 65565 65559 +alice carson 508 65545 65545 +alice davidson 270 65563 65563 +alice davidson 272 65742 65563 +alice davidson 287 65747 65563 +alice davidson 298 65554 65554 +alice davidson 308 65560 65554 +alice davidson 321 65677 65554 +alice davidson 328 65547 65547 +alice davidson 384 65676 65547 +alice davidson 402 65544 65544 +alice davidson 408 65707 65544 +alice davidson 408 65791 65544 +alice davidson 423 65740 65544 +alice davidson 431 65677 65544 +alice davidson 437 65690 65544 +alice davidson 445 65590 65544 +alice davidson 448 65641 65544 +alice davidson 479 65631 65544 +alice davidson 487 65596 65544 +alice ellison 256 65744 65744 +alice ellison 274 65537 65537 +alice ellison 296 65741 65537 +alice ellison 313 65612 65537 +alice ellison 320 65745 65537 +alice ellison 331 65557 65537 +alice ellison 335 65730 65537 +alice ellison 343 65787 65537 +alice ellison 354 65698 65537 +alice ellison 355 65699 65537 +alice ellison 374 65677 65537 +alice ellison 403 65544 65537 +alice ellison 405 65713 65537 +alice ellison 482 65681 65537 +alice ellison 490 65572 65537 +alice falkner 280 65597 65597 +alice falkner 311 65715 65597 +alice falkner 323 65669 65597 +alice falkner 339 65785 65597 +alice falkner 342 65752 65597 +alice falkner 345 65773 65597 +alice falkner 371 65710 65597 +alice falkner 382 65622 65597 +alice falkner 382 65690 65597 +alice falkner 389 65699 65597 +alice falkner 393 65611 65597 +alice falkner 393 65685 65597 +alice falkner 452 65596 65596 +alice falkner 455 65718 65596 +alice falkner 477 65722 65596 +alice falkner 481 65709 65596 +alice falkner 500 65775 65596 +alice garcia 263 65630 65630 +alice garcia 299 65623 65623 +alice garcia 309 65746 65623 +alice garcia 325 65573 65573 +alice garcia 331 65734 65573 +alice garcia 366 65744 65573 +alice garcia 379 65746 65573 +alice garcia 388 65675 65573 +alice garcia 427 65674 65573 +alice garcia 446 65613 65573 +alice garcia 446 65759 65573 +alice garcia 459 65712 65573 +alice garcia 486 65725 65573 +alice hernandez 270 65717 65717 +alice hernandez 290 65685 65685 +alice hernandez 296 65569 65569 +alice hernandez 320 65700 65569 +alice hernandez 323 65727 65569 +PREHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), si (type: smallint), i (type: int) + sort order: ++- + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST, _col2 DESC NULLS LAST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col2 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col1 (type: smallint), _col2 (type: int), avg_window_0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, si, i, avg(i) over (partition by s order by si, i desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s si i avg_window_0 +alice allen 400 65557 65557.0 +alice allen 451 65662 65609.5 +alice allen 462 65545 65588.0 +alice allen 472 65609 65593.25 +alice allen 484 65600 65594.6 +alice allen 501 65720 65615.5 +alice allen 501 65670 65623.28571428571 +alice allen 509 65758 65640.125 +alice brown 302 65711 65711.0 +alice brown 324 65569 65640.0 +alice brown 332 65781 65687.0 +alice brown 337 65707 65692.0 +alice brown 346 65696 65692.8 +alice brown 376 65708 65695.33333333333 +alice brown 381 65704 65696.57142857143 +alice brown 399 65779 65706.875 +alice brown 409 65667 65702.44444444444 +alice brown 425 65570 65689.2 +alice brown 452 65666 65687.09090909091 +alice brown 471 65733 65690.91666666667 +alice brown 492 65673 65689.53846153847 +alice brown 499 65790 65696.71428571429 +alice carson 268 65713 65713.0 +alice carson 316 65559 65636.0 +alice carson 318 65695 65655.66666666667 +alice carson 376 65576 65635.75 +alice carson 380 65785 65665.6 +alice carson 390 65747 65679.16666666667 +alice carson 404 65710 65683.57142857143 +alice carson 427 65559 65668.0 +alice carson 473 65565 65656.55555555556 +alice carson 508 65545 65645.4 +alice davidson 270 65563 65563.0 +alice davidson 272 65742 65652.5 +alice davidson 287 65747 65684.0 +alice davidson 298 65554 65651.5 +alice davidson 308 65560 65633.2 +alice davidson 321 65677 65640.5 +alice davidson 328 65547 65627.14285714286 +alice davidson 384 65676 65633.25 +alice davidson 402 65544 65623.33333333333 +alice davidson 408 65791 65640.1 +alice davidson 408 65707 65646.18181818182 +alice davidson 423 65740 65654.0 +alice davidson 431 65677 65655.76923076923 +alice davidson 437 65690 65658.21428571429 +alice davidson 445 65590 65653.66666666667 +alice davidson 448 65641 65652.875 +alice davidson 479 65631 65651.58823529411 +alice davidson 487 65596 65648.5 +alice ellison 256 65744 65744.0 +alice ellison 274 65537 65640.5 +alice ellison 296 65741 65674.0 +alice ellison 313 65612 65658.5 +alice ellison 320 65745 65675.8 +alice ellison 331 65557 65656.0 +alice ellison 335 65730 65666.57142857143 +alice ellison 343 65787 65681.625 +alice ellison 354 65698 65683.44444444444 +alice ellison 355 65699 65685.0 +alice ellison 374 65677 65684.27272727272 +alice ellison 403 65544 65672.58333333333 +alice ellison 405 65713 65675.69230769231 +alice ellison 482 65681 65676.07142857143 +alice ellison 490 65572 65669.13333333333 +alice falkner 280 65597 65597.0 +alice falkner 311 65715 65656.0 +alice falkner 323 65669 65660.33333333333 +alice falkner 339 65785 65691.5 +alice falkner 342 65752 65703.6 +alice falkner 345 65773 65715.16666666667 +alice falkner 371 65710 65714.42857142857 +alice falkner 382 65690 65711.375 +alice falkner 382 65622 65701.44444444444 +alice falkner 389 65699 65701.2 +alice falkner 393 65685 65699.72727272728 +alice falkner 393 65611 65692.33333333333 +alice falkner 452 65596 65684.92307692308 +alice falkner 455 65718 65687.28571428571 +alice falkner 477 65722 65689.6 +alice falkner 481 65709 65690.8125 +alice falkner 500 65775 65695.76470588235 +alice garcia 263 65630 65630.0 +alice garcia 299 65623 65626.5 +alice garcia 309 65746 65666.33333333333 +alice garcia 325 65573 65643.0 +alice garcia 331 65734 65661.2 +alice garcia 366 65744 65675.0 +alice garcia 379 65746 65685.14285714286 +alice garcia 388 65675 65683.875 +alice garcia 427 65674 65682.77777777778 +alice garcia 446 65759 65690.4 +alice garcia 446 65613 65683.36363636363 +alice garcia 459 65712 65685.75 +alice garcia 486 65725 65688.76923076923 +alice hernandez 270 65717 65717.0 +alice hernandez 290 65685 65701.0 +alice hernandez 296 65569 65657.0 +alice hernandez 320 65700 65667.75 +alice hernandez 323 65727 65679.6 +PREHOOK: query: explain vectorization detail +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: si (type: smallint), bo (type: boolean), i (type: int), f (type: float) + sort order: +++- + Map-reduce partition columns: si (type: smallint), bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [1, 2, 4, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: smallint), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col1, _col2, _col4, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: smallint, _col2: int, _col4: float, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col4 DESC NULLS LAST + partition by: _col1, _col6 + raw input shape: + window functions: + window function definition + alias: max_window_0 + arguments: _col2 + name: max + window function: GenericUDAFMaxEvaluator + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: smallint), _col6 (type: boolean), _col2 (type: int), _col4 (type: float), max_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select si, bo, i, f, max(i) over (partition by si, bo order by i, f desc range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +si bo i f max_window_0 +256 false 65543 32.21 65543 +256 false 65549 23.72 65549 +256 false 65558 71.32 65558 +256 false 65580 64.81 65580 +256 false 65586 12.97 65586 +256 false 65596 5.35 65596 +256 false 65616 76.38 65616 +256 false 65620 51.72 65620 +256 false 65627 54.23 65627 +256 false 65640 32.64 65640 +256 false 65643 94.05 65643 +256 false 65706 83.67 65706 +256 false 65713 21.83 65713 +256 false 65737 3.38 65737 +256 false 65744 47.17 65744 +256 false 65752 61.21 65752 +256 false 65778 16.29 65778 +256 true 65540 49.44 65540 +256 true 65563 94.87 65563 +256 true 65599 89.55 65599 +256 true 65604 40.97 65604 +256 true 65613 93.29 65613 +256 true 65613 78.27 65613 +256 true 65615 20.66 65615 +256 true 65651 90.32 65651 +256 true 65653 8.1 65653 +256 true 65668 92.71 65668 +256 true 65693 62.52 65693 +256 true 65731 34.09 65731 +256 true 65733 70.53 65733 +256 true 65738 9.0 65738 +256 true 65741 54.8 65741 +256 true 65744 38.16 65744 +256 true 65747 32.18 65747 +256 true 65763 24.89 65763 +256 true 65778 74.15 65778 +256 true 65789 91.12 65789 +257 false 65541 51.26 65541 +257 false 65547 54.01 65547 +257 false 65560 42.14 65560 +257 false 65572 79.15 65572 +257 false 65574 19.96 65574 +257 false 65575 1.21 65575 +257 false 65578 61.6 65578 +257 false 65588 81.17 65588 +257 false 65594 78.39 65594 +257 false 65610 98.0 65610 +257 false 65691 80.76 65691 +257 false 65694 29.0 65694 +257 false 65711 60.88 65711 +257 false 65719 62.79 65719 +257 false 65722 79.05 65722 +257 false 65738 96.01 65738 +257 false 65756 24.44 65756 +257 false 65790 9.26 65790 +257 true 65542 62.59 65542 +257 true 65557 55.07 65557 +257 true 65566 68.54 65566 +257 true 65584 35.88 65584 +257 true 65610 47.58 65610 +257 true 65612 3.12 65612 +257 true 65626 23.18 65626 +257 true 65631 51.61 65631 +257 true 65638 95.35 65638 +257 true 65654 24.54 65654 +257 true 65654 9.8 65654 +257 true 65655 40.42 65655 +257 true 65699 15.36 65699 +257 true 65712 90.44 65712 +257 true 65720 24.4 65720 +257 true 65732 96.85 65732 +257 true 65748 32.52 65748 +257 true 65752 49.35 65752 +257 true 65771 95.58 65771 +257 true 65771 53.89 65771 +257 true 65771 48.5 65771 +257 true 65781 17.33 65781 +258 false 65565 98.19 65565 +258 false 65569 66.81 65569 +258 false 65573 31.45 65573 +258 false 65582 67.28 65582 +258 false 65584 64.92 65584 +258 false 65606 35.52 65606 +258 false 65656 79.17 65656 +258 false 65669 75.01 65669 +258 false 65717 95.76 65717 +258 false 65724 70.0 65724 +258 false 65728 9.05 65728 +258 false 65761 33.73 65761 +258 false 65762 15.22 65762 +258 false 65770 13.38 65770 +258 false 65771 52.63 65771 +258 false 65781 1.92 65781 +258 true 65546 91.19 65546 +258 true 65551 91.56 65551 +258 true 65551 88.97 65551 +258 true 65568 81.41 65568 +258 true 65568 13.57 65568 +258 true 65579 47.52 65579 +258 true 65603 2.61 65603 +PREHOOK: query: explain vectorization detail +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), bo (type: boolean), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 6] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: boolean) + outputColumnNames: _col2, _col3, _col6 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col6: boolean + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col6 ASC NULLS FIRST, _col3 ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col6, _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col6 (type: boolean), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 63596 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select bo, rank() over (partition by i order by bo nulls first, b nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +bo rank_window_0 +false 1 +false 2 +false 3 +false 4 +false 5 +false 6 +false 7 +false 8 +false 9 +false 10 +false 11 +false 11 +false 13 +false 14 +false 15 +false 16 +false 17 +false 18 +false 19 +false 20 +false 20 +false 22 +true 23 +true 24 +true 25 +true 26 +true 27 +true 28 +true 29 +true 30 +true 31 +true 32 +true 33 +true 34 +true 35 +true 36 +true 37 +true 37 +true 39 +true 40 +true 41 +true 42 +true 43 +true 44 +true 45 +false 1 +false 2 +false 3 +false 4 +false 5 +false 5 +false 5 +false 8 +false 9 +false 10 +false 11 +false 12 +false 13 +false 14 +false 15 +false 16 +false 17 +true 18 +true 19 +true 20 +true 21 +true 22 +true 23 +true 24 +true 25 +true 26 +true 27 +true 27 +true 29 +true 30 +true 31 +true 32 +true 33 +true 34 +true 35 +false 1 +false 2 +false 3 +false 4 +false 4 +false 6 +false 7 +false 8 +false 9 +false 10 +false 11 +false 12 +false 13 +false 14 +false 15 +false 16 +false 17 +false 18 +true 19 +true 20 +PREHOOK: query: explain vectorization detail +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), CAST( s AS CHAR(12) (type: char(12)) + sort order: ++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col6 (type: string) + outputColumnNames: _col2, _col7 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: CAST( _col7 AS CHAR(12) ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: CAST( _col7 AS CHAR(12) + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: CAST( _col7 AS CHAR(12) (type: char(12)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select CAST(s as CHAR(12)), rank() over (partition by i order by CAST(s as CHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +_c0 rank_window_0 +alice ichabo 1 +alice robins 2 +bob robinson 3 +calvin thomp 4 +david johnso 5 +david laerte 6 +david nixon 7 +david nixon 7 +ethan johnso 9 +ethan ovid 10 +ethan underh 11 +fred miller 12 +fred miller 12 +gabriella ga 14 +gabriella un 15 +holly white 16 +irene johnso 17 +katie elliso 18 +luke allen 19 +mike quirini 20 +mike white 21 +nick davidso 22 +oscar allen 23 +oscar garcia 24 +oscar ichabo 25 +oscar ovid 26 +oscar steinb 27 +priscilla ga 28 +priscilla wh 29 +priscilla xy 30 +priscilla yo 31 +rachel brown 32 +rachel ichab 33 +rachel xylop 34 +sarah thomps 35 +sarah thomps 35 +tom johnson 37 +tom steinbec 38 +ulysses polk 39 +victor johns 40 +wendy polk 41 +xavier david 42 +yuri ellison 43 +zach allen 44 +zach hernand 45 +alice elliso 1 +bob carson 2 +calvin brown 3 +david xyloph 4 +ethan white 5 +fred johnson 6 +fred van bur 7 +gabriella ic 8 +holly laerte 9 +holly quirin 10 +jessica hern 11 +katie robins 12 +katie thomps 13 +luke nixon 14 +mike garcia 15 +mike hernand 16 +nick carson 17 +nick davidso 18 +oscar carson 19 +oscar robins 20 +priscilla wh 21 +sarah falkne 22 +sarah ichabo 23 +ulysses falk 24 +victor xylop 25 +wendy garcia 26 +wendy van bu 27 +xavier under 28 +yuri garcia 29 +yuri quirini 30 +yuri white 31 +zach falkner 32 +zach ichabod 33 +zach nixon 34 +zach ovid 35 +alice ichabo 1 +alice king 2 +alice robins 3 +calvin allen 4 +gabriella jo 5 +gabriella ni 6 +holly falkne 7 +holly hernan 8 +holly thomps 9 +katie nixon 10 +luke brown 11 +luke davidso 12 +luke white 13 +mike brown 14 +nick quirini 15 +oscar white 16 +priscilla xy 17 +quinn garcia 18 +quinn laerte 19 +rachel young 20 +PREHOOK: query: explain vectorization detail +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), CAST( s AS varchar(12)) (type: varchar(12)) + sort order: ++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + scratchColumnTypeNames: string + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col6 (type: string) + outputColumnNames: _col2, _col7 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: CAST( _col7 AS varchar(12)) ASC NULLS LAST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: CAST( _col7 AS varchar(12)) + name: rank + window function: GenericUDAFRankEvaluator + window frame: RANGE PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: CAST( _col7 AS varchar(12)) (type: varchar(12)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9784 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select CAST(s as VARCHAR(12)), rank() over (partition by i order by CAST(s as VARCHAR(12)) nulls last range between unbounded preceding and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +_c0 rank_window_0 +alice ichabo 1 +alice robins 2 +bob robinson 3 +calvin thomp 4 +david johnso 5 +david laerte 6 +david nixon 7 +david nixon 7 +ethan johnso 9 +ethan ovid 10 +ethan underh 11 +fred miller 12 +fred miller 12 +gabriella ga 14 +gabriella un 15 +holly white 16 +irene johnso 17 +katie elliso 18 +luke allen 19 +mike quirini 20 +mike white 21 +nick davidso 22 +oscar allen 23 +oscar garcia 24 +oscar ichabo 25 +oscar ovid 26 +oscar steinb 27 +priscilla ga 28 +priscilla wh 29 +priscilla xy 30 +priscilla yo 31 +rachel brown 32 +rachel ichab 33 +rachel xylop 34 +sarah thomps 35 +sarah thomps 35 +tom johnson 37 +tom steinbec 38 +ulysses polk 39 +victor johns 40 +wendy polk 41 +xavier david 42 +yuri ellison 43 +zach allen 44 +zach hernand 45 +alice elliso 1 +bob carson 2 +calvin brown 3 +david xyloph 4 +ethan white 5 +fred johnson 6 +fred van bur 7 +gabriella ic 8 +holly laerte 9 +holly quirin 10 +jessica hern 11 +katie robins 12 +katie thomps 13 +luke nixon 14 +mike garcia 15 +mike hernand 16 +nick carson 17 +nick davidso 18 +oscar carson 19 +oscar robins 20 +priscilla wh 21 +sarah falkne 22 +sarah ichabo 23 +ulysses falk 24 +victor xylop 25 +wendy garcia 26 +wendy van bu 27 +xavier under 28 +yuri garcia 29 +yuri quirini 30 +yuri white 31 +zach falkner 32 +zach ichabod 33 +zach nixon 34 +zach ovid 35 +alice ichabo 1 +alice king 2 +alice robins 3 +calvin allen 4 +gabriella jo 5 +gabriella ni 6 +holly falkne 7 +holly hernan 8 +holly thomps 9 +katie nixon 10 +luke brown 11 +luke davidso 12 +luke white 13 +mike brown 14 +nick quirini 15 +oscar white 16 +priscilla xy 17 +quinn garcia 18 +quinn laerte 19 +rachel young 20 diff --git ql/src/test/results/clientpositive/vector_windowing_rank.q.out ql/src/test/results/clientpositive/vector_windowing_rank.q.out new file mode 100644 index 0000000..a0e4fc1 --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_rank.q.out @@ -0,0 +1,1543 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, rank() over (partition by f order by t) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, rank() over (partition by f order by t) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: f (type: float), t (type: tinyint) + sort order: ++ + Map-reduce partition columns: f (type: float) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 4, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey0 (type: float), VALUE._col5 (type: string) + outputColumnNames: _col0, _col4, _col7 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col4: float, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col4 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col0 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9421 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, rank() over (partition by f order by t) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, rank() over (partition by f order by t) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s rank_window_0 +bob ichabod 1 +yuri thompson 2 +luke steinbeck 1 +fred zipper 2 +luke king 3 +calvin van buren 1 +quinn miller 2 +holly steinbeck 1 +david davidson 1 +calvin quirinius 1 +calvin thompson 2 +david ovid 1 +nick zipper 2 +holly thompson 3 +victor steinbeck 1 +victor robinson 2 +zach ovid 1 +ulysses zipper 1 +irene thompson 1 +luke falkner 2 +yuri johnson 1 +ulysses falkner 1 +gabriella robinson 2 +alice robinson 1 +priscilla xylophone 2 +david laertes 1 +mike underhill 2 +victor van buren 1 +holly falkner 1 +priscilla falkner 1 +luke zipper 1 +ethan ovid 2 +alice quirinius 1 +calvin white 2 +mike steinbeck 3 +nick young 1 +wendy polk 2 +irene miller 3 +ethan ellison 1 +yuri davidson 2 +zach hernandez 1 +wendy miller 1 +katie underhill 1 +irene zipper 1 +holly allen 1 +quinn brown 2 +calvin ovid 1 +zach robinson 1 +nick miller 2 +mike allen 1 +priscilla young 1 +yuri van buren 2 +zach miller 3 +sarah falkner 1 +victor xylophone 2 +rachel ichabod 1 +calvin ovid 1 +alice robinson 2 +calvin ovid 1 +alice ovid 1 +david hernandez 2 +luke laertes 3 +luke quirinius 1 +oscar white 1 +zach falkner 1 +rachel thompson 1 +priscilla king 1 +xavier polk 1 +wendy ichabod 1 +rachel ovid 1 +wendy allen 1 +luke brown 1 +oscar ichabod 2 +mike brown 3 +xavier garcia 1 +bob xylophone 1 +yuri brown 2 +ethan quirinius 1 +luke davidson 2 +zach davidson 1 +irene miller 1 +wendy king 1 +bob zipper 1 +sarah thompson 1 +bob laertes 1 +xavier allen 2 +bob carson 3 +sarah robinson 1 +david king 1 +oscar davidson 1 +wendy polk 1 +victor hernandez 2 +david ellison 1 +ulysses johnson 1 +jessica ovid 1 +bob king 1 +ulysses garcia 1 +irene falkner 1 +holly robinson 1 +yuri white 1 +PREHOOK: query: explain vectorization detail +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), i (type: int), s (type: string) + sort order: ++- + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST, _col7 DESC NULLS LAST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: dense_rank_window_0 + arguments: _col2, _col7 + name: dense_rank + window function: GenericUDAFDenseRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), dense_rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, dense_rank() over (partition by ts order by i,s desc) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s dense_rank_window_0 +rachel thompson 1 +oscar brown 2 +wendy steinbeck 3 +victor van buren 4 +fred zipper 5 +priscilla zipper 6 +katie white 7 +fred nixon 8 +gabriella van buren 9 +luke zipper 10 +victor ellison 11 +david falkner 12 +nick carson 13 +calvin laertes 14 +yuri allen 15 +calvin brown 16 +tom johnson 17 +jessica laertes 18 +sarah falkner 19 +gabriella xylophone 20 +mike laertes 21 +bob ovid 22 +rachel garcia 23 +katie king 24 +calvin steinbeck 25 +jessica polk 26 +xavier davidson 1 +ethan ovid 2 +calvin white 3 +katie zipper 4 +quinn allen 5 +victor underhill 6 +ulysses xylophone 7 +priscilla zipper 8 +quinn ovid 9 +katie xylophone 10 +rachel ovid 11 +yuri brown 12 +oscar van buren 13 +alice miller 14 +luke thompson 15 +gabriella steinbeck 16 +priscilla brown 17 +gabriella underhill 18 +jessica robinson 19 +luke steinbeck 20 +nick ellison 21 +oscar davidson 22 +wendy johnson 23 +ulysses johnson 24 +jessica nixon 25 +fred king 26 +jessica brown 27 +ethan young 28 +xavier johnson 29 +gabriella johnson 30 +calvin nixon 31 +bob king 32 +calvin carson 33 +zach young 34 +yuri hernandez 35 +sarah van buren 36 +holly falkner 37 +jessica brown 38 +rachel ovid 39 +katie davidson 40 +bob falkner 41 +rachel young 42 +irene brown 43 +fred polk 44 +priscilla hernandez 45 +wendy thompson 46 +rachel robinson 47 +luke xylophone 48 +luke king 49 +holly thompson 50 +yuri garcia 1 +nick king 2 +calvin white 3 +rachel polk 4 +rachel davidson 5 +victor hernandez 6 +wendy miller 7 +wendy brown 8 +priscilla thompson 9 +holly nixon 10 +victor hernandez 11 +priscilla polk 12 +ethan nixon 13 +alice underhill 14 +jessica thompson 15 +tom hernandez 16 +sarah falkner 17 +wendy underhill 18 +rachel ichabod 19 +jessica johnson 20 +rachel ellison 21 +wendy falkner 22 +holly allen 23 +ulysses carson 24 +PREHOOK: query: explain vectorization detail +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: bo (type: boolean), b (type: bigint), s (type: string) + sort order: +++ + Map-reduce partition columns: bo (type: boolean) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [3, 6, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey2 (type: string) + outputColumnNames: _col3, _col6, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col3: bigint, _col6: boolean, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST, _col7 ASC NULLS FIRST + partition by: _col6 + raw input shape: + window functions: + window function definition + alias: cume_dist_window_0 + arguments: _col3, _col7 + name: cume_dist + window function: GenericUDAFCumeDistEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), cume_dist_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, cume_dist() over (partition by bo order by b,s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s cume_dist_window_0 +calvin allen 2.0112630732099757E-4 +david ovid 4.0225261464199515E-4 +david zipper 6.033789219629927E-4 +ethan ellison 8.045052292839903E-4 +holly allen 0.001005631536604988 +irene garcia 0.0012067578439259854 +irene van buren 0.0014078841512469831 +jessica steinbeck 0.0016090104585679806 +katie xylophone 0.0018101367658889783 +mike xylophone 0.002011263073209976 +nick quirinius 0.0022123893805309734 +nick steinbeck 0.002413515687851971 +quinn steinbeck 0.002614641995172969 +rachel thompson 0.0028157683024939663 +sarah miller 0.0030168946098149637 +tom hernandez 0.003218020917135961 +ulysses ichabod 0.003419147224456959 +ulysses nixon 0.0036202735317779565 +ulysses xylophone 0.003821399839098954 +victor garcia 0.004022526146419952 +victor xylophone 0.004223652453740949 +wendy falkner 0.004424778761061947 +yuri nixon 0.004625905068382945 +bob johnson 0.004827031375703942 +bob king 0.00502815768302494 +calvin van buren 0.005229283990345938 +gabriella robinson 0.005430410297666935 +katie xylophone 0.0056315366049879325 +mike steinbeck 0.00583266291230893 +oscar quirinius 0.006033789219629927 +rachel davidson 0.006234915526950925 +sarah van buren 0.006436041834271922 +tom king 0.00663716814159292 +ulysses allen 0.006838294448913918 +wendy ellison 0.007039420756234915 +zach allen 0.007240547063555913 +zach young 0.007441673370876911 +alice falkner 0.007642799678197908 +bob ovid 0.007843925985518906 +bob underhill 0.008045052292839904 +ethan ovid 0.008246178600160902 +gabriella davidson 0.008447304907481898 +gabriella garcia 0.008648431214802896 +irene nixon 0.008849557522123894 +jessica brown 0.009050683829444892 +jessica miller 0.00925181013676589 +jessica quirinius 0.009452936444086887 +luke falkner 0.009654062751407884 +luke robinson 0.009855189058728881 +mike steinbeck 0.01005631536604988 +mike van buren 0.010257441673370877 +priscilla hernandez 0.010458567980691875 +tom polk 0.010659694288012871 +ulysses king 0.01086082059533387 +ulysses robinson 0.011061946902654867 +xavier davidson 0.011263073209975865 +alice hernandez 0.011464199517296863 +bob underhill 0.01166532582461786 +calvin nixon 0.011866452131938857 +david davidson 0.012067578439259855 +holly falkner 0.012268704746580853 +irene laertes 0.01246983105390185 +jessica robinson 0.012670957361222849 +mike falkner 0.012872083668543845 +nick falkner 0.013073209975864843 +oscar laertes 0.01327433628318584 +oscar miller 0.013475462590506838 +oscar thompson 0.013676588897827836 +priscilla nixon 0.013877715205148834 +priscilla xylophone 0.01407884151246983 +quinn miller 0.014279967819790828 +victor robinson 0.014481094127111826 +wendy allen 0.014682220434432824 +wendy nixon 0.014883346741753822 +yuri ellison 0.015084473049074818 +calvin nixon 0.015285599356395816 +fred carson 0.015486725663716814 +holly davidson 0.015687851971037812 +irene king 0.01588897827835881 +jessica davidson 0.016090104585679808 +katie polk 0.016492357200321803 +katie polk 0.016492357200321803 +luke johnson 0.0166934835076428 +nick allen 0.016894609814963796 +nick ellison 0.017095736122284794 +oscar king 0.01729686242960579 +priscilla laertes 0.01749798873692679 +priscilla underhill 0.017699115044247787 +priscilla young 0.017900241351568785 +victor steinbeck 0.018101367658889783 +wendy miller 0.01830249396621078 +calvin carson 0.01850362027353178 +ethan hernandez 0.018704746580852777 +ethan laertes 0.01910699919549477 +ethan laertes 0.01910699919549477 +ethan white 0.019308125502815767 +fred ellison 0.019509251810136765 +gabriella hernandez 0.019710378117457763 +gabriella ovid 0.01991150442477876 +gabriella steinbeck 0.02011263073209976 +PREHOOK: query: explain vectorization detail +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: dec (type: decimal(4,2)), f (type: float) + sort order: ++ + Map-reduce partition columns: dec (type: decimal(4,2)) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 9] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: decimal(4,2)) + outputColumnNames: _col4, _col7, _col9 + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col9: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col9 + raw input shape: + window functions: + window function definition + alias: percent_rank_window_0 + arguments: _col4 + name: percent_rank + window function: GenericUDAFPercentRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), percent_rank_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 4710 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 21600 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 21600 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, percent_rank() over (partition by `dec` order by f) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s percent_rank_window_0 +wendy king 0.0 +calvin robinson 1.0 +mike steinbeck 0.0 +calvin hernandez 0.0 +sarah king 1.0 +yuri ellison 0.0 +victor king 0.0 +alice ovid 0.0 +ethan steinbeck 0.5 +mike steinbeck 1.0 +gabriella young 0.0 +jessica johnson 0.0 +holly king 0.5 +tom young 1.0 +victor falkner 0.0 +ethan polk 0.0 +oscar miller 0.0 +ethan quirinius 0.0 +fred hernandez 0.0 +david steinbeck 1.0 +wendy xylophone 0.0 +luke laertes 0.0 +alice quirinius 1.0 +calvin ovid 0.0 +holly allen 0.0 +tom brown 1.0 +wendy ovid 0.0 +mike brown 0.0 +alice polk 0.0 +alice zipper 0.0 +sarah quirinius 1.0 +luke underhill 0.0 +victor white 0.5 +holly xylophone 1.0 +oscar quirinius 0.0 +ethan davidson 0.0 +ethan allen 0.0 +wendy underhill 0.5 +irene xylophone 1.0 +ulysses steinbeck 0.0 +mike hernandez 1.0 +irene brown 0.0 +priscilla brown 0.0 +calvin johnson 1.0 +sarah xylophone 0.0 +yuri underhill 0.5 +ethan nixon 1.0 +calvin hernandez 0.0 +yuri underhill 0.0 +holly allen 1.0 +victor laertes 0.0 +ethan underhill 0.0 +irene steinbeck 1.0 +mike van buren 0.0 +xavier allen 0.5 +sarah xylophone 1.0 +luke van buren 0.0 +gabriella xylophone 0.0 +gabriella ellison 0.0 +luke falkner 0.0 +priscilla garcia 0.0 +ethan quirinius 0.3333333333333333 +alice xylophone 0.6666666666666666 +ethan underhill 1.0 +tom white 0.0 +alice johnson 0.0 +priscilla zipper 0.0 +tom laertes 0.5 +zach laertes 1.0 +xavier miller 0.0 +yuri ovid 0.0 +david steinbeck 0.0 +wendy underhill 0.0 +priscilla xylophone 0.0 +nick hernandez 0.0 +luke steinbeck 0.0 +oscar davidson 0.0 +sarah allen 0.0 +katie steinbeck 0.0 +oscar ovid 1.0 +yuri ellison 0.0 +rachel quirinius 0.0 +irene van buren 0.0 +victor ichabod 0.0 +quinn miller 0.0 +luke allen 0.0 +xavier laertes 0.0 +wendy miller 0.0 +victor brown 0.0 +tom thompson 0.0 +david brown 1.0 +zach quirinius 0.0 +oscar king 1.0 +david nixon 0.0 +ethan white 0.0 +ethan polk 0.0 +ulysses steinbeck 0.0 +victor van buren 0.3333333333333333 +sarah carson 0.6666666666666666 +priscilla nixon 1.0 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: b is not null (type: boolean) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: _col1 (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: _col1:timestamp, _col2:decimal(4,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: timestamp, _col2: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col2 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 = 1) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)), 1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +2013-03-01 09:11:58.70307 0.50 1 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: b is not null (type: boolean) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Statistics: Num rows: 6359 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: timestamp), _col2 (type: decimal(4,2)) + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: _col1 (type: timestamp) + sort order: + + Map-reduce partition columns: _col1 (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(4,2)) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: _col1:timestamp, _col2:decimal(4,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), VALUE._col1 (type: decimal(4,2)) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: timestamp, _col2: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (_col2 = 89.5) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: timestamp), 89.5 (type: decimal(4,2)), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + ) joined + ) ranked +where `dec` = 89.5 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +2013-03-01 09:11:58.703124 89.50 1 +PREHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: other + Statistics: Num rows: 6204 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((t < 10) and b is not null) (type: boolean) + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint), ts (type: timestamp), dec (type: decimal(4,2)) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: bigint) + sort order: + + Map-reduce partition columns: _col1 (type: bigint) + Statistics: Num rows: 2068 Data size: 339181 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)) + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: b is not null (type: boolean) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: b (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: bigint) + sort order: + + Map-reduce partition columns: _col0 (type: bigint) + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Map Vectorization: + enabled: false + enabledConditionsNotMet: Vectorized map work only works with 1 TableScanOperator IS false + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: bigint) + 1 _col0 (type: bigint) + outputColumnNames: _col2, _col3 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)) + sort order: ++ + Map-reduce partition columns: _col2 (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: _col2:timestamp, _col3:decimal(4,2) + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: decimal(4,2)) + outputColumnNames: _col2, _col3 + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: timestamp, _col3: decimal(4,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 139912 Data size: 1119298 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 = 1) (type: boolean) + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: timestamp), _col3 (type: decimal(4,2)), 1 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 69956 Data size: 559649 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select ts, `dec`, rnk +from + (select ts, `dec`, + rank() over (partition by ts order by `dec`) as rnk + from + (select other.ts, other.`dec` + from over10k other + join over10k on (other.b = over10k.b) + where other.t < 10 + ) joined + ) ranked +where rnk = 1 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +ts dec rnk +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 +2013-03-01 09:11:58.70307 37.30 1 diff --git ql/src/test/results/clientpositive/vector_windowing_streaming.q.out ql/src/test/results/clientpositive/vector_windowing_streaming.q.out new file mode 100644 index 0000000..0198e2b --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_streaming.q.out @@ -0,0 +1,836 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal(4,2), + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8] + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false, No PTF TopN IS false + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 9 + includeColumns: [1, 2] + dataColumns: p_partkey:int, p_name:string, p_mfgr:string, p_brand:string, p_type:string, p_size:int, p_container:string, p_retailprice:double, p_comment:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col1, _col2 + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col1: string, _col2: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col1 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col1 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 < 4) (type: boolean) + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 8 Data size: 968 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 4 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +a.p_mfgr a.r +Manufacturer#1 1 +Manufacturer#1 1 +Manufacturer#1 3 +Manufacturer#2 1 +Manufacturer#2 2 +Manufacturer#2 3 +Manufacturer#3 1 +Manufacturer#3 2 +Manufacturer#3 3 +Manufacturer#4 1 +Manufacturer#4 2 +Manufacturer#4 3 +Manufacturer#5 1 +Manufacturer#5 2 +Manufacturer#5 3 +PREHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 2 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select * +from ( select p_mfgr, rank() over(partition by p_mfgr order by p_name) r from part) a +where r < 2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +a.p_mfgr a.r +Manufacturer#1 1 +Manufacturer#1 1 +Manufacturer#2 1 +Manufacturer#3 1 +Manufacturer#4 1 +Manufacturer#5 1 +PREHOOK: query: explain vectorization detail +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 127193 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Filter Operator + Filter Vectorization: + className: VectorFilterOperator + native: true + predicateExpression: FilterLongColLessLongScalar(col 0, val 5) -> boolean + predicate: (t < 5) (type: boolean) + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: t (type: tinyint), f (type: float) + sort order: ++ + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false, No PTF TopN IS false + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 4] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(4,2), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: float) + outputColumnNames: _col0, _col4 + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col4: float + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col4 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 42397 Data size: 339176 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 < 6) (type: boolean) + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col4 (type: float), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 14132 Data size: 113056 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select * +from (select t, f, rank() over(partition by t order by f) r from over10k) a +where r < 6 and t < 5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +a.t a.f a.r +-3 0.56 1 +-3 0.83 2 +-3 2.26 3 +-3 2.48 4 +-3 3.82 5 +-2 1.55 1 +-2 1.65 2 +-2 1.79 3 +-2 4.06 4 +-2 4.4 5 +-1 0.79 1 +-1 0.95 2 +-1 1.27 3 +-1 1.49 4 +-1 2.8 5 +0 0.08 1 +0 0.94 2 +0 1.44 3 +0 2.0 4 +0 2.12 5 +1 0.13 1 +1 0.44 2 +1 1.04 3 +1 3.41 4 +1 3.45 5 +2 2.21 1 +2 3.1 2 +2 9.93 3 +2 11.43 4 +2 15.45 5 +3 0.12 1 +3 0.19 2 +3 7.14 3 +3 7.97 4 +3 8.95 5 +4 2.26 1 +4 5.51 2 +4 5.53 3 +4 5.76 4 +4 7.26 5 +PREHOOK: query: select * +from (select t, f, row_number() over(partition by t order by f) r from over10k) a +where r < 8 and t < 0 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select * +from (select t, f, row_number() over(partition by t order by f) r from over10k) a +where r < 8 and t < 0 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +a.t a.f a.r +-3 0.56 1 +-3 0.83 2 +-3 2.26 3 +-3 2.48 4 +-3 3.82 5 +-3 6.8 6 +-3 6.83 7 +-2 1.55 1 +-2 1.65 2 +-2 1.79 3 +-2 4.06 4 +-2 4.4 5 +-2 5.43 6 +-2 5.59 7 +-1 0.79 1 +-1 0.95 2 +-1 1.27 3 +-1 1.49 4 +-1 2.8 5 +-1 4.08 6 +-1 4.31 7 +PREHOOK: query: explain vectorization detail +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: false + enabledConditionsNotMet: [hive.vectorized.execution.enabled IS false] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: ctinyint (type: tinyint), cdouble (type: double) + sort order: ++ + Map-reduce partition columns: ctinyint (type: tinyint) + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.8 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col5 + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 < 5) (type: boolean) + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col5 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: drop table if exists sB +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists sB +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table sB ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: database:default +PREHOOK: Output: default@sB +POSTHOOK: query: create table sB ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: database:default +POSTHOOK: Output: default@sB +POSTHOOK: Lineage: sb.cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: sb.ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +POSTHOOK: Lineage: sb.r SCRIPT [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +a.ctinyint a.cdouble a.r +PREHOOK: query: select * from sB +where ctinyint is null +PREHOOK: type: QUERY +PREHOOK: Input: default@sb +#### A masked pattern was here #### +POSTHOOK: query: select * from sB +where ctinyint is null +POSTHOOK: type: QUERY +POSTHOOK: Input: default@sb +#### A masked pattern was here #### +sb.ctinyint sb.cdouble sb.r +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +PREHOOK: query: drop table if exists sD +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists sD +POSTHOOK: type: DROPTABLE +PREHOOK: query: explain vectorization detail +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: query: explain vectorization detail +create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + Stage-3 depends on stages: Stage-0 + Stage-2 depends on stages: Stage-3 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11] + Reduce Output Operator + key expressions: ctinyint (type: tinyint), cdouble (type: double) + sort order: ++ + Map-reduce partition columns: ctinyint (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false, No PTF TopN IS false + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.8 + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 12 + includeColumns: [0, 5] + dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, cboolean2:boolean + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double) + outputColumnNames: _col0, _col5 + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col5 ASC NULLS FIRST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col5 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (rank_window_0 < 5) (type: boolean) + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: tinyint), _col5 (type: double), rank_window_0 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 4096 Data size: 880654 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.sD + + Stage: Stage-0 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + + Stage: Stage-3 + Create Table Operator: + Create Table + columns: ctinyint tinyint, cdouble double, r int + field delimiter: , + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.IgnoreKeyTextOutputFormat + serde name: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.sD + + Stage: Stage-2 + Stats-Aggr Operator + +PREHOOK: query: create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: database:default +PREHOOK: Output: default@sD +POSTHOOK: query: create table sD ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE as +select * from (select ctinyint, cdouble, rank() over(partition by ctinyint order by cdouble) r from alltypesorc) a where r < 5 +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: database:default +POSTHOOK: Output: default@sD +POSTHOOK: Lineage: sd.cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: sd.ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +POSTHOOK: Lineage: sd.r SCRIPT [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), (alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +a.ctinyint a.cdouble a.r +PREHOOK: query: select * from sD +where ctinyint is null +PREHOOK: type: QUERY +PREHOOK: Input: default@sd +#### A masked pattern was here #### +POSTHOOK: query: select * from sD +where ctinyint is null +POSTHOOK: type: QUERY +POSTHOOK: Input: default@sd +#### A masked pattern was here #### +sd.ctinyint sd.cdouble sd.r +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 +NULL NULL 1 diff --git ql/src/test/results/clientpositive/vector_windowing_windowspec.q.out ql/src/test/results/clientpositive/vector_windowing_windowspec.q.out new file mode 100644 index 0000000..5c353b7 --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_windowspec.q.out @@ -0,0 +1,2060 @@ +PREHOOK: query: drop table over10k +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table over10k +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over10k +POSTHOOK: query: create table over10k( + t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + `dec` decimal, + bin binary) + row format delimited + fields terminated by '|' +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over10k +PREHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over10k +POSTHOOK: query: load data local inpath '../../data/files/over10k' into table over10k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over10k +PREHOOK: query: explain vectorization detail +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: i (type: int), s (type: string), b (type: bigint) + sort order: +++ + Map-reduce partition columns: i (type: int) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 3, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col2, _col3, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: bigint, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col3 ASC NULLS FIRST + partition by: _col2 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col3 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(b) over (partition by i order by s,b rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +alice ichabod 4294967441 +alice robinson 8589934917 +bob robinson 12884902266 +calvin thompson 17179869602 +david johnson 21474837092 +david laertes 25769804523 +david nixon 30064771904 +david nixon 34359739395 +ethan johnson 38654706752 +ethan ovid 42949674180 +ethan underhill 47244641690 +fred miller 51539609102 +fred miller 55834576592 +gabriella garcia 60129544023 +gabriella underhill 64424511330 +holly white 68719478650 +irene johnson 73014446110 +katie ellison 77309413485 +luke allen 81604380948 +mike quirinius 85899348426 +mike white 90194315855 +nick davidson 94489283385 +oscar allen 98784250693 +oscar garcia 103079218190 +oscar ichabod 107374185594 +oscar ovid 111669153102 +oscar steinbeck 115964120553 +priscilla garcia 120259087901 +priscilla white 124554055390 +priscilla xylophone 128849022850 +priscilla young 133143990191 +rachel brown 137438957640 +rachel ichabod 141733924974 +rachel xylophone 146028892291 +sarah thompson 150323859590 +sarah thompson 154618826928 +tom johnson 158913794359 +tom steinbeck 163208761724 +ulysses polk 167503729208 +victor johnson 171798696592 +wendy polk 176093663918 +xavier davidson 180388631312 +yuri ellison 184683598825 +zach allen 188978566334 +zach hernandez 193273533646 +alice ellison 4294967446 +bob carson 8589934892 +calvin brown 12884902329 +david xylophone 17179869748 +ethan white 21474837241 +fred johnson 25769804704 +fred van buren 30064772167 +gabriella ichabod 34359739606 +holly laertes 38654707054 +holly quirinius 42949674584 +jessica hernandez 47244642120 +katie robinson 51539609539 +katie thompson 55834576895 +luke nixon 60129544345 +mike garcia 64424511764 +mike hernandez 68719479285 +nick carson 73014446621 +nick davidson 77309414083 +oscar carson 81604381543 +oscar robinson 85899348869 +priscilla white 90194316274 +sarah falkner 94489283722 +sarah ichabod 98784251271 +ulysses falkner 103079218819 +victor xylophone 107374186359 +wendy garcia 111669153733 +wendy van buren 115964121147 +xavier underhill 120259088561 +yuri garcia 124554056001 +yuri quirinius 128849023443 +yuri white 133143990852 +zach falkner 137438958357 +zach ichabod 141733925776 +zach nixon 146028893205 +zach ovid 150323860576 +alice ichabod 4294967451 +alice king 8589934958 +alice robinson 12884902278 +calvin allen 17179869612 +gabriella johnson 21474837108 +gabriella nixon 25769804436 +holly falkner 30064771905 +holly hernandez 34359739256 +holly thompson 38654706595 +katie nixon 42949674112 +luke brown 47244641636 +luke davidson 51539608978 +luke white 55834576299 +mike brown 60129543641 +nick quirinius 64424511126 +oscar white 68719478551 +priscilla xylophone 73014446004 +quinn garcia 77309413317 +quinn laertes 81604380656 +rachel young 85899348171 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: d (type: double), s (type: string), f (type: float) + sort order: +++ + Map-reduce partition columns: d (type: double) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col4, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col5 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by d order by s,f rows unbounded preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +calvin miller 8.390000343322754 +holly polk 5.289999961853027 +wendy quirinius 30.789999961853027 +yuri laertes 68.38000011444092 +nick steinbeck 79.23999786376953 +katie brown 60.0 +priscilla quirinius 137.83999633789062 +tom young 186.33999633789062 +gabriella quirinius 14.359999656677246 +katie falkner 65.92999935150146 +xavier robinson 153.84000301361084 +ethan carson 40.90999984741211 +victor johnson 100.0 +jessica king 92.70999908447266 +jessica white 124.16999816894531 +zach white 170.71999740600586 +holly falkner 97.3499984741211 +quinn falkner 196.23999786376953 +victor davidson 255.95999908447266 +holly young 19.110000610351562 +nick robinson 13.329999923706055 +xavier steinbeck 48.53999900817871 +irene king 30.469999313354492 +quinn zipper 90.04000091552734 +priscilla miller 15.359999656677246 +wendy zipper 92.8000020980835 +yuri miller 153.5600004196167 +zach steinbeck 9.069999694824219 +fred nixon 50.08000183105469 +katie brown 13.300000190734863 +nick davidson 87.05000305175781 +gabriella davidson 3.940000057220459 +zach carson 70.88999700546265 +holly hernandez 48.52000045776367 +jessica quirinius 90.18000030517578 +tom xylophone 166.11000061035156 +wendy king 184.76000022888184 +gabriella brown 84.83000183105469 +quinn johnson 134.9800033569336 +yuri zipper 205.75 +david robinson 64.79000091552734 +mike nixon 153.7300033569336 +gabriella white 1.4199999570846558 +rachel davidson 98.12999904155731 +yuri garcia 9.880000114440918 +yuri zipper 104.01999950408936 +alice king 85.72000122070312 +jessica steinbeck 111.41000175476074 +katie hernandez 178.9699993133545 +katie ovid 40.0 +priscilla young 101.72999954223633 +quinn davidson 196.8400001525879 +quinn van buren 279.6400032043457 +victor steinbeck 309.6400032043457 +gabriella brown 80.6500015258789 +jessica ichabod 96.54000091552734 +zach laertes 104.50000095367432 +ethan miller 49.61000061035156 +irene carson 110.68000030517578 +irene falkner 131.42000007629395 +priscilla zipper 201.39000129699707 +tom robinson 290.75000190734863 +katie polk 38.689998626708984 +nick white 96.93999862670898 +sarah davidson 99.59999871253967 +xavier laertes 161.30999779701233 +alice ichabod 32.689998626708984 +nick polk 130.97999954223633 +gabriella robinson 90.0999984741211 +luke brown 90.71999847888947 +wendy allen 116.34999763965607 +calvin ichabod 29.059999465942383 +holly steinbeck 98.4799976348877 +gabriella carson 38.09000015258789 +holly van buren 106.89999771118164 +tom nixon 191.92999649047852 +katie laertes 75.75 +mike brown 163.97000122070312 +oscar nixon 24.020000457763672 +zach garcia 101.61999893188477 +tom polk 76.98999786376953 +mike allen 96.44999694824219 +alice johnson 1.090000033378601 +holly robinson 26.209999084472656 +priscilla thompson 111.12999725341797 +yuri young 168.73999786376953 +rachel carson 80.98999786376953 +gabriella laertes 39.81999969482422 +victor brown 78.97999954223633 +bob carson 24.149999618530273 +holly allen 68.71999931335449 +fred nixon 38.04999923706055 +rachel carson 119.60000228881836 +alice nixon 49.130001068115234 +priscilla brown 123.57999801635742 +victor falkner 42.4900016784668 +david garcia 67.27999877929688 +holly hernandez 116.36999893188477 +tom white 154.0 +rachel ellison 10.600000381469727 +PREHOOK: query: explain vectorization detail +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: s (type: string) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), VALUE._col6 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE CURRENT~FOLLOWING(MAX) + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(f) over (partition by ts order by f range between current row and unbounded following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +gabriella xylophone 1276.850001335144 +calvin brown 1273.68000125885 +jessica laertes 1262.7900009155273 +yuri allen 1248.2500009536743 +tom johnson 1233.4700012207031 +bob ovid 1215.6200008392334 +fred nixon 1195.0100002288818 +oscar brown 1166.3199996948242 +calvin laertes 1137.1000003814697 +david falkner 1105.9300003051758 +calvin steinbeck 1067.5800018310547 +katie white 1028.9700012207031 +sarah falkner 989.4900016784668 +mike laertes 948.9500007629395 +victor ellison 907.3500022888184 +luke zipper 861.2700004577637 +rachel garcia 806.9099998474121 +wendy steinbeck 749.9700012207031 +priscilla zipper 685.0100021362305 +rachel thompson 611.4900054931641 +victor van buren 532.9100036621094 +fred zipper 451.5 +gabriella van buren 366.79000091552734 +nick carson 279.36000061035156 +katie king 188.0 +jessica polk 95.04000091552734 +oscar davidson 2368.430002987385 +xavier johnson 2367.600003004074 +rachel ovid 2365.6100029945374 +xavier davidson 2361.880002975464 +nick ellison 2353.0200033187866 +jessica robinson 2342.4000034332275 +bob king 2331.0800037384033 +ulysses xylophone 2318.2500038146973 +wendy thompson 2303.550004005432 +yuri brown 2288.590003967285 +ethan ovid 2271.010004043579 +rachel robinson 2251.9100036621094 +holly falkner 2230.9000034332275 +calvin nixon 2203.950002670288 +luke thompson 2176.7200031280518 +gabriella johnson 2147.6500034332275 +jessica brown 2117.940004348755 +quinn allen 2086.100004196167 +irene brown 2054.1600036621094 +katie zipper 2018.8400039672852 +gabriella steinbeck 1981.520004272461 +priscilla brown 1943.020004272461 +zach young 1900.9400024414062 +alice miller 1856.6400032043457 +priscilla zipper 1811.9800033569336 +rachel young 1765.1400032043457 +holly thompson 1716.2500038146973 +calvin white 1666.6100044250488 +priscilla hernandez 1616.330005645752 +fred polk 1564.240005493164 +sarah van buren 1510.9800071716309 +rachel ovid 1456.890007019043 +luke xylophone 1400.4400062561035 +yuri hernandez 1343.6800079345703 +oscar van buren 1282.2700080871582 +quinn ovid 1220.390007019043 +victor underhill 1157.360008239746 +luke king 1092.8100051879883 +calvin carson 1024.1900024414062 +jessica brown 948.0600051879883 +jessica nixon 869.0100021362305 +katie davidson 788.5800018310547 +fred king 707.1699981689453 +wendy johnson 624.3199996948242 +ulysses johnson 540.3399963378906 +katie xylophone 456.12999725341797 +ethan young 370.57999420166016 +gabriella underhill 282.6499938964844 +luke steinbeck 193.7199935913086 +bob falkner 99.44999694824219 +holly allen 1607.950005441904 +rachel ichabod 1607.590005427599 +bob carson 1607.1100054383278 +wendy miller 1606.3200054168701 +nick king 1605.0500054359436 +rachel ellison 1600.5700054168701 +yuri garcia 1591.5700054168701 +victor hernandez 1568.3000049591064 +wendy underhill 1543.1700057983398 +alice underhill 1517.830005645752 +rachel polk 1491.9200057983398 +holly nixon 1462.910005569458 +ethan nixon 1432.4400062561035 +sarah falkner 1394.490005493164 +tom hernandez 1355.1900062561035 +rachel ichabod 1309.2800064086914 +priscilla thompson 1256.8400077819824 +jessica thompson 1202.7400093078613 +ulysses carson 1146.0400085449219 +wendy falkner 1087.2700080871582 +calvin white 1025.1800079345703 +jessica ovid 956.9800109863281 +jessica johnson 885.3000106811523 +priscilla garcia 805.8400115966797 +PREHOOK: query: explain vectorization detail +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string), f (type: float) + sort order: +++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: float), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col4 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS CURRENT~FOLLOWING(5) + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(f) over (partition by ts order by s,f rows between current row and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s avg_window_0 +bob ovid 28.053333441416424 +calvin brown 38.73666652043661 +calvin laertes 51.493333180745445 +calvin steinbeck 46.826666514078774 +david falkner 42.81499973932902 +fred nixon 52.26333347956339 +fred zipper 62.97499990463257 +gabriella van buren 55.43666664759318 +gabriella xylophone 49.925000031789146 +jessica laertes 56.32999976476034 +jessica polk 69.13333320617676 +katie king 58.16333293914795 +katie white 54.92333253224691 +luke zipper 57.83333237965902 +mike laertes 61.86999924977621 +nick carson 61.69333299001058 +oscar brown 49.44166628519694 +priscilla zipper 52.25166670481364 +rachel garcia 53.56666787465414 +rachel thompson 54.903334617614746 +sarah falkner 44.27000093460083 +tom johnson 45.01600093841553 +victor ellison 51.80750107765198 +victor van buren 53.71666749318441 +wendy steinbeck 39.869999408721924 +yuri allen 14.779999732971191 +alice miller 51.76333204905192 +bob falkner 47.50333213806152 +bob king 45.58333269755045 +calvin carson 57.253332455952965 +calvin nixon 53.441665967305504 +calvin white 53.85499922434489 +ethan ovid 51.891666094462074 +ethan young 63.52999941507975 +fred king 53.36666615804037 +fred polk 47.83166631062826 +gabriella johnson 44.84166653951009 +gabriella steinbeck 45.1966667175293 +gabriella underhill 51.95500055948893 +holly falkner 50.538333892822266 +holly thompson 47.93333371480306 +irene brown 53.22833442687988 +jessica brown 61.600001653035484 +jessica brown 62.51333491007487 +jessica nixon 60.775001525878906 +jessica robinson 63.08166758219401 +katie davidson 66.04000091552734 +katie xylophone 61.931666692097984 +katie zipper 49.44333283106486 +luke king 43.36166621247927 +luke steinbeck 42.238332599401474 +luke thompson 33.54000013073286 +luke xylophone 37.376666873693466 +nick ellison 35.72333384553591 +oscar davidson 39.27666728695234 +oscar van buren 49.643333752950035 +priscilla brown 39.95166691144308 +priscilla hernandez 42.346666733423866 +priscilla zipper 37.166666746139526 +quinn allen 37.50833328564962 +quinn ovid 41.199999888738 +rachel ovid 44.729999939600624 +rachel ovid 46.558333237965904 +rachel robinson 47.90833361943563 +rachel young 58.40333414077759 +sarah van buren 52.74833424886068 +ulysses johnson 45.21000083287557 +ulysses xylophone 31.506667653719585 +victor underhill 31.98666767279307 +wendy johnson 31.46333380540212 +wendy thompson 24.84999978542328 +xavier davidson 26.82799973487854 +xavier johnson 31.319999754428864 +yuri brown 41.09666633605957 +yuri hernandez 52.85499954223633 +zach young 44.29999923706055 +alice underhill 38.0366666217645 +bob carson 38.7966665327549 +calvin white 51.90833304325739 +ethan ichabod 52.48833360274633 +ethan nixon 46.103333373864494 +holly allen 40.5249999165535 +holly nixon 55.85333355267843 +jessica johnson 64.11166644096375 +jessica ovid 66.54166674613953 +jessica thompson 69.09166725476582 +nick king 68.65833353996277 +oscar carson 82.59166717529297 +priscilla garcia 80.75166702270508 +priscilla hernandez 68.91500091552734 +priscilla polk 53.32166742781798 +priscilla thompson 47.56499997278055 +quinn van buren 43.383333598574005 +rachel davidson 35.253333166241646 +rachel ellison 29.356666321555775 +rachel ichabod 37.651666397849716 +rachel ichabod 41.75999959309896 +rachel polk 49.56333351135254 +sarah falkner 59.53333377838135 +tom hernandez 63.331667264302574 +PREHOOK: query: explain vectorization detail +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: t (type: tinyint), s (type: string), d (type: double) + sort order: ++- + Map-reduce partition columns: t (type: tinyint) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [0, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey1 (type: string) + outputColumnNames: _col0, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: tinyint, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST, _col5 DESC NULLS LAST + partition by: _col0 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(5)~FOLLOWING(5) + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), avg_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 11200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, avg(d) over (partition by t order by s,d desc rows between 5 preceding and 5 following) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s avg_window_0 +alice allen 33.20166666666666 +alice davidson 30.741428571428568 +alice falkner 27.742499999999996 +alice king 26.706666666666663 +alice king 26.306999999999995 +alice xylophone 24.458181818181814 +bob ellison 25.029090909090908 +bob falkner 24.216363636363635 +bob ichabod 20.173636363636362 +bob johnson 16.431818181818176 +bob polk 16.640909090909087 +bob underhill 15.266363636363632 +bob underhill 18.288181818181812 +bob van buren 18.405454545454543 +calvin ichabod 20.90363636363636 +calvin white 22.448181818181812 +david carson 24.329090909090898 +david falkner 25.01181818181817 +david garcia 22.984545454545444 +david hernandez 22.92272727272726 +ethan steinbeck 24.026363636363627 +ethan underhill 25.189090909090904 +fred ellison 27.159999999999993 +gabriella brown 25.66454545454545 +holly nixon 25.70545454545454 +holly polk 24.11818181818182 +holly steinbeck 24.49090909090909 +holly thompson 23.376363636363635 +holly underhill 19.453636363636363 +irene ellison 20.378181818181826 +irene underhill 23.510000000000012 +irene young 25.371818181818195 +jessica johnson 24.42636363636365 +jessica king 26.380000000000017 +jessica miller 23.99545454545456 +jessica white 26.866363636363655 +katie ichabod 28.520909090909115 +luke garcia 26.110909090909114 +luke ichabod 27.41909090909093 +luke king 28.713636363636375 +luke young 30.59181818181818 +mike allen 27.91545454545455 +mike king 25.526363636363644 +mike polk 24.774545454545464 +mike white 25.18363636363637 +mike xylophone 27.50818181818182 +nick nixon 26.225454545454546 +nick robinson 24.34454545454545 +oscar davidson 26.719090909090916 +oscar garcia 27.196363636363643 +oscar johnson 27.08272727272728 +oscar johnson 25.164545454545472 +oscar miller 28.059090909090916 +priscilla laertes 31.73727272727274 +priscilla quirinius 30.353636363636372 +priscilla zipper 27.961818181818195 +quinn ellison 29.40636363636366 +quinn polk 27.267272727272754 +rachel davidson 25.415454545454562 +rachel thompson 23.608181818181823 +sarah miller 21.49909090909091 +sarah robinson 23.40454545454546 +sarah xylophone 26.957272727272724 +sarah zipper 24.83545454545455 +tom hernandez 21.274545454545454 +tom hernandez 20.315454545454546 +tom polk 21.90181818181819 +tom steinbeck 20.772727272727273 +ulysses carson 21.647272727272718 +ulysses ellison 22.960909090909084 +ulysses quirinius 23.025454545454544 +ulysses robinson 23.762727272727282 +ulysses steinbeck 21.08909090909091 +victor allen 16.628181818181826 +victor hernandez 15.74909090909091 +victor robinson 18.193636363636355 +victor thompson 20.81181818181817 +victor xylophone 20.372727272727243 +wendy quirinius 20.81636363636362 +wendy robinson 19.936363636363634 +wendy xylophone 20.270909090909093 +xavier garcia 19.874000000000002 +xavier ovid 19.976666666666663 +yuri xylophone 21.89625000000001 +zach thompson 25.021428571428583 +zach young 27.77666666666668 +alice carson 18.785 +alice nixon 17.58142857142857 +alice underhill 17.072499999999998 +alice underhill 19.146666666666665 +alice xylophone 20.556 +bob falkner 19.116363636363637 +bob king 21.04 +bob ovid 20.854545454545452 +bob van buren 21.988181818181815 +bob xylophone 24.364545454545453 +calvin xylophone 26.91272727272727 +david falkner 27.31 +david laertes 28.00454545454545 +david miller 28.40090909090909 +PREHOOK: query: explain vectorization detail +select s, sum(i) over(partition by ts order by s) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, sum(i) over(partition by ts order by s) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), s (type: string) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: i (type: int) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 7, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col7: string, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col7 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col2 + name: sum + window function: GenericUDAFSumLong + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), sum_window_0 (type: bigint) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 7066 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, sum(i) over(partition by ts order by s) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s sum_window_0 +bob ovid 65748 +calvin brown 131440 +calvin laertes 197097 +calvin steinbeck 262874 +david falkner 328506 +fred nixon 394118 +fred zipper 459719 +gabriella van buren 525334 +gabriella xylophone 591058 +jessica laertes 656771 +jessica polk 722558 +katie king 788310 +katie white 853920 +luke zipper 919543 +mike laertes 985277 +nick carson 1050928 +oscar brown 1116474 +priscilla zipper 1182084 +rachel garcia 1247836 +rachel thompson 1313378 +sarah falkner 1379093 +tom johnson 1444791 +victor ellison 1510421 +victor van buren 1576006 +wendy steinbeck 1641591 +yuri allen 1707256 +alice miller 65581 +bob falkner 131319 +bob king 197015 +calvin carson 262712 +calvin nixon 328407 +calvin white 393960 +ethan ovid 459504 +ethan young 525178 +fred king 590838 +fred polk 656600 +gabriella johnson 722283 +gabriella steinbeck 787886 +gabriella underhill 853497 +holly falkner 919218 +holly thompson 985000 +irene brown 1050757 +jessica brown 1182155 +jessica brown 1182155 +jessica nixon 1247815 +jessica robinson 1313437 +katie davidson 1379172 +katie xylophone 1444746 +katie zipper 1510302 +luke king 1576084 +luke steinbeck 1641724 +luke thompson 1707324 +luke xylophone 1773102 +nick ellison 1838744 +oscar davidson 1904390 +oscar van buren 1969971 +priscilla brown 2035582 +priscilla hernandez 2101353 +priscilla zipper 2166925 +quinn allen 2232487 +quinn ovid 2298060 +rachel ovid 2429366 +rachel ovid 2429366 +rachel robinson 2495140 +rachel young 2560880 +sarah van buren 2626599 +ulysses johnson 2692259 +ulysses xylophone 2757830 +victor underhill 2823401 +wendy johnson 2889058 +wendy thompson 2954831 +xavier davidson 3020367 +xavier johnson 3086050 +yuri brown 3151628 +yuri hernandez 3217338 +zach young 3283046 +alice underhill 65705 +bob carson 131461 +calvin white 197044 +ethan ichabod 262796 +ethan nixon 328501 +holly allen 394248 +holly nixon 459928 +jessica johnson 525664 +jessica ovid 591415 +jessica thompson 657122 +nick king 722691 +oscar carson 788459 +priscilla garcia 854222 +priscilla hernandez 919979 +priscilla polk 985680 +priscilla thompson 1051347 +quinn van buren 1117102 +rachel davidson 1182710 +rachel ellison 1248448 +rachel ichabod 1379923 +rachel ichabod 1379923 +rachel polk 1445518 +sarah falkner 1511234 +tom hernandez 1576947 +PREHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col8 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f range between unbounded preceding and current row) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +f sum_window_0 +3.17 3.1700000762939453 +10.89 14.0600004196167 +14.54 28.600000381469727 +14.78 43.38000011444092 +17.85 61.230000495910645 +20.61 81.8400011062622 +28.69 110.53000164031982 +29.22 139.75000095367432 +31.17 170.92000102996826 +38.35 209.26999950408936 +38.61 247.88000011444092 +39.48 287.35999965667725 +40.54 327.9000005722046 +41.6 369.4999990463257 +46.08 415.58000087738037 +54.36 469.94000148773193 +56.94 526.8800001144409 +64.96 591.8399991989136 +73.52 665.35999584198 +78.58 743.9399976730347 +81.41 825.350001335144 +84.71 910.0600004196167 +87.43 997.4900007247925 +91.36 1088.850001335144 +92.96 1181.8100004196167 +95.04 1276.850001335144 +0.83 0.8299999833106995 +1.99 2.8199999928474426 +3.73 6.550000011920929 +8.86 15.409999668598175 +10.62 26.029999554157257 +11.32 37.349999248981476 +12.83 50.17999917268753 +14.7 64.87999898195267 +14.96 79.83999902009964 +17.58 97.4199989438057 +19.1 116.51999932527542 +21.01 137.52999955415726 +26.95 164.4800003170967 +27.23 191.70999985933304 +29.07 220.77999955415726 +29.71 250.4899986386299 +31.84 282.3299987912178 +31.94 314.2699993252754 +35.32 349.58999902009964 +37.32 386.90999871492386 +38.5 425.40999871492386 +42.08 467.49000054597855 +44.3 511.7899997830391 +44.66 556.4499996304512 +46.84 603.2899997830391 +48.89 652.1799991726875 +49.64 701.819998562336 +50.28 752.0999973416328 +52.09 804.1899974942207 +53.26 857.4499958157539 +54.09 911.5399959683418 +56.45 967.9899967312813 +56.76 1024.7499950528145 +61.41 1086.1599949002266 +61.88 1148.0399959683418 +63.03 1211.0699947476387 +64.55 1275.6199977993965 +68.62 1344.2400005459785 +76.13 1420.3699977993965 +79.05 1499.4200008511543 +80.43 1579.85000115633 +81.41 1661.2600048184395 +82.85 1744.1100032925606 +83.98 1828.0900066494942 +84.21 1912.3000057339668 +85.55 1997.8500087857246 +87.93 2085.7800090909004 +88.93 2174.710009396076 +94.27 2268.9800060391426 +99.45 2368.430002987385 +0.36 0.36000001430511475 +0.48 0.8400000035762787 +0.79 1.6300000250339508 +1.27 2.9000000059604645 +4.48 7.380000025033951 +9.0 16.38000002503395 +23.27 39.65000048279762 +25.13 64.77999964356422 +25.34 90.11999979615211 +25.91 116.02999964356422 +29.01 145.03999987244606 +30.47 175.50999918580055 +37.95 213.45999994874 +39.3 252.75999918580055 +45.91 298.66999903321266 +52.44 351.10999765992165 +54.1 405.20999613404274 +56.7 461.9099968969822 +58.77 520.6799973547459 +62.09 582.7699975073338 +68.2 650.9699944555759 +71.68 722.6499947607517 +79.46 802.1099938452244 +80.02 882.1299904882908 +PREHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: ts (type: timestamp), f (type: float) + sort order: ++ + Map-reduce partition columns: ts (type: timestamp) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [4, 8] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: timestamp) + outputColumnNames: _col4, _col8 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col4: float, _col8: timestamp + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col4 ASC NULLS FIRST + partition by: _col8 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col4 + name: sum + window function: GenericUDAFSumDouble + window frame: ROWS PRECEDING(2)~PRECEDING(1) + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col4 (type: float), sum_window_0 (type: double) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 23126 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 4400 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + +PREHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select f, sum(f) over (partition by ts order by f rows between 2 preceding and 1 preceding) from over10k limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +f sum_window_0 +3.17 NULL +10.89 3.1700000762939453 +14.54 14.0600004196167 +14.78 25.43000030517578 +17.85 29.31999969482422 +20.61 32.63000011444092 +28.69 38.46000099182129 +29.22 49.30000114440918 +31.17 57.90999984741211 +38.35 60.38999938964844 +38.61 69.51999855041504 +39.48 76.95999908447266 +40.54 78.09000015258789 +41.6 80.02000045776367 +46.08 82.13999938964844 +54.36 87.68000030517578 +56.94 100.44000244140625 +64.96 111.29999923706055 +73.52 121.89999771118164 +78.58 138.47999572753906 +81.41 152.0999984741211 +84.71 159.99000549316406 +87.43 166.12000274658203 +91.36 172.13999938964844 +92.96 178.79000091552734 +95.04 184.31999969482422 +0.83 NULL +1.99 0.8299999833106995 +3.73 2.8199999928474426 +8.86 5.7200000286102295 +10.62 12.589999675750732 +11.32 19.479999542236328 +12.83 21.9399995803833 +14.7 24.149999618530273 +14.96 27.52999973297119 +17.58 29.65999984741211 +19.1 32.53999996185303 +21.01 36.68000030517578 +26.95 40.11000061035156 +27.23 47.96000099182129 +29.07 54.18000030517578 +29.71 56.29999923706055 +31.84 58.779998779296875 +31.94 61.54999923706055 +35.32 63.78000068664551 +37.32 67.26000022888184 +38.5 72.63999938964844 +42.08 75.81999969482422 +44.3 80.58000183105469 +44.66 86.38000106811523 +46.84 88.95999908447266 +48.89 91.5 +49.64 95.72999954223633 +50.28 98.52999877929688 +52.09 99.91999816894531 +53.26 102.36999893188477 +54.09 105.3499984741211 +56.45 107.3499984741211 +56.76 110.54000091552734 +61.41 113.20999908447266 +61.88 118.16999816894531 +63.03 123.29000091552734 +64.55 124.90999984741211 +68.62 127.58000183105469 +76.13 133.17000579833984 +79.05 144.75 +80.43 155.18000030517578 +81.41 159.4800033569336 +82.85 161.84000396728516 +83.98 164.26000213623047 +84.21 166.8300018310547 +85.55 168.19000244140625 +87.93 169.76000213623047 +88.93 173.4800033569336 +94.27 176.86000061035156 +99.45 183.1999969482422 +0.36 NULL +0.48 0.36000001430511475 +0.79 0.8400000035762787 +1.27 1.270000010728836 +4.48 2.060000002384186 +9.0 5.75 +23.27 13.480000019073486 +25.13 32.27000045776367 +25.34 48.39999961853027 +25.91 50.46999931335449 +29.01 51.25 +30.47 54.920000076293945 +37.95 59.47999954223633 +39.3 68.42000007629395 +45.91 77.25 +52.44 85.20999908447266 +54.1 98.3499984741211 +56.7 106.53999710083008 +58.77 110.79999923706055 +62.09 115.47000122070312 +68.2 120.86000061035156 +71.68 130.28999710083008 +79.46 139.87999725341797 +80.02 151.13999938964844 +PREHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round((avg_window_0 / 10.0), 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round(avg(d) over (partition by s order by i) / 10.0 , 2) from over10k limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +alice allen 65545 2.22 +alice allen 65557 2.58 +alice allen 65600 3.38 +alice allen 65609 2.99 +alice allen 65662 2.7 +alice allen 65670 2.88 +alice allen 65720 2.76 +PREHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int), round(((avg_window_0 + 10.0) - (avg_window_0 - 10.0)), 2) (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i) limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i _c2 +alice allen 65545 20.0 +alice allen 65557 20.0 +alice allen 65600 20.0 +alice allen 65609 20.0 +alice allen 65662 20.0 +alice allen 65670 20.0 +alice allen 65720 20.0 +PREHOOK: query: explain vectorization detail +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: over10k + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Reduce Output Operator + key expressions: s (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: s (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + value expressions: d (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + includeColumns: [2, 5, 7] + dataColumns: t:tinyint, si:smallint, i:int, b:bigint, f:float, d:double, bo:boolean, s:string, ts:timestamp, dec:decimal(10,0), bin:binary + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), VALUE._col4 (type: double), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col2, _col5, _col7 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col5: double, _col7: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col2 ASC NULLS FIRST + partition by: _col7 + raw input shape: + window functions: + window function definition + alias: avg_window_0 + arguments: _col5 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: RANGE PRECEDING(MAX)~CURRENT + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col7 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 9085 Data size: 1017544 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 7 + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 7 Data size: 784 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 7 + Processor Tree: + ListSink + +PREHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +PREHOOK: type: QUERY +PREHOOK: Input: default@over10k +#### A masked pattern was here #### +POSTHOOK: query: select s, i from ( select s, i, round((avg(d) over w1 + 10.0) - (avg(d) over w1 - 10.0),2) from over10k window w1 as (partition by s order by i)) X limit 7 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over10k +#### A masked pattern was here #### +s i +alice allen 65545 +alice allen 65557 +alice allen 65600 +alice allen 65609 +alice allen 65662 +alice allen 65670 +alice allen 65720 diff --git ql/src/test/results/clientpositive/vector_windowing_windowspec4.q.out ql/src/test/results/clientpositive/vector_windowing_windowspec4.q.out new file mode 100644 index 0000000..a18abdb --- /dev/null +++ ql/src/test/results/clientpositive/vector_windowing_windowspec4.q.out @@ -0,0 +1,211 @@ +PREHOOK: query: drop table if exists smalltable_windowing +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table if exists smalltable_windowing +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table smalltable_windowing( + i int, + type string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smalltable_windowing +POSTHOOK: query: create table smalltable_windowing( + i int, + type string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smalltable_windowing +PREHOOK: query: insert into smalltable_windowing values(3, 'a'), (1, 'a'), (2, 'a') +PREHOOK: type: QUERY +PREHOOK: Output: default@smalltable_windowing +POSTHOOK: query: insert into smalltable_windowing values(3, 'a'), (1, 'a'), (2, 'a') +POSTHOOK: type: QUERY +POSTHOOK: Output: default@smalltable_windowing +POSTHOOK: Lineage: smalltable_windowing.i EXPRESSION [(values__tmp__table__1)values__tmp__table__1.FieldSchema(name:tmp_values_col1, type:string, comment:), ] +POSTHOOK: Lineage: smalltable_windowing.type SIMPLE [(values__tmp__table__1)values__tmp__table__1.FieldSchema(name:tmp_values_col2, type:string, comment:), ] +_col0 _col1 +PREHOOK: query: explain vectorization detail +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +PREHOOK: type: QUERY +POSTHOOK: query: explain vectorization detail +select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: smalltable_windowing + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + projectedOutputColumns: [0, 1] + Reduce Output Operator + key expressions: type (type: string), i (type: int) + sort order: ++ + Map-reduce partition columns: type (type: string) + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + groupByVectorOutput: true + inputFileFormats: org.apache.hadoop.mapred.TextInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 2 + includeColumns: [0, 1] + dataColumns: i:int, type:string + partitionColumnCount: 0 + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: int), KEY.reducesinkkey0 (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: int, _col1: string + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col0 ASC NULLS FIRST + partition by: _col1 + raw input shape: + window functions: + window function definition + alias: max_window_0 + arguments: _col0 + name: max + window function: GenericUDAFMaxEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: min_window_1 + arguments: _col0 + name: min + window function: GenericUDAFMinEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: first_value_window_2 + arguments: _col0 + name: first_value + window function: GenericUDAFFirstValueEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: last_value_window_3 + arguments: _col0 + name: last_value + window function: GenericUDAFLastValueEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: avg_window_4 + arguments: _col0 + name: avg + window function: GenericUDAFAverageEvaluatorDouble + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: sum_window_5 + arguments: _col0 + name: sum + window function: GenericUDAFSumLong + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: collect_set_window_6 + arguments: _col0 + name: collect_set + window function: GenericUDAFMkCollectionEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + window function definition + alias: count_window_7 + arguments: _col0 + name: count + window function: GenericUDAFCountEvaluator + window frame: ROWS PRECEDING(1)~FOLLOWING(7) + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col0 (type: int), max_window_0 (type: int), min_window_1 (type: int), first_value_window_2 (type: int), last_value_window_3 (type: int), avg_window_4 (type: double), sum_window_5 (type: bigint), collect_set_window_6 (type: array), count_window_7 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 3 Data size: 9 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +PREHOOK: type: QUERY +PREHOOK: Input: default@smalltable_windowing +#### A masked pattern was here #### +POSTHOOK: query: select type, i, +max(i) over (partition by type order by i rows between 1 preceding and 7 following), +min(i) over (partition by type order by i rows between 1 preceding and 7 following), +first_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +last_value(i) over (partition by type order by i rows between 1 preceding and 7 following), +avg(i) over (partition by type order by i rows between 1 preceding and 7 following), +sum(i) over (partition by type order by i rows between 1 preceding and 7 following), +collect_set(i) over (partition by type order by i rows between 1 preceding and 7 following), +count(i) over (partition by type order by i rows between 1 preceding and 7 following) +from smalltable_windowing +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smalltable_windowing +#### A masked pattern was here #### +type i max_window_0 min_window_1 first_value_window_2 last_value_window_3 avg_window_4 sum_window_5 collect_set_window_6 count_window_7 +a 1 3 1 1 3 2.0 6 [1,2,3] 3 +a 2 3 1 1 3 2.0 6 [1,2,3] 3 +a 3 3 2 2 3 2.5 5 [2,3] 2 diff --git ql/src/test/results/clientpositive/windowing_gby2.q.out ql/src/test/results/clientpositive/windowing_gby2.q.out index a17ad93..414d9a4 100644 --- ql/src/test/results/clientpositive/windowing_gby2.q.out +++ ql/src/test/results/clientpositive/windowing_gby2.q.out @@ -86,7 +86,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -211,7 +211,7 @@ STAGE PLANS: arguments: _col0 name: avg window function: GenericUDAFAverageEvaluatorDouble - window frame: PRECEDING(MAX)~CURRENT + window frame: RANGE PRECEDING(MAX)~CURRENT Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: avg_window_0 (type: double) @@ -338,7 +338,7 @@ STAGE PLANS: arguments: _col2 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -385,7 +385,7 @@ STAGE PLANS: arguments: _col4 name: dense_rank window function: GenericUDAFDenseRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -432,7 +432,7 @@ STAGE PLANS: arguments: _col7 name: percent_rank window function: GenericUDAFPercentRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 10 Data size: 131 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -611,7 +611,7 @@ STAGE PLANS: arguments: (UDFToDouble(_col1) / UDFToDouble(_col2)) name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 6758 Data size: 1453080 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/windowing_navfn.q.out ql/src/test/results/clientpositive/windowing_navfn.q.out index 4dd6fed..4f29c1f 100644 --- ql/src/test/results/clientpositive/windowing_navfn.q.out +++ ql/src/test/results/clientpositive/windowing_navfn.q.out @@ -85,7 +85,7 @@ STAGE PLANS: alias: row_number_window_0 name: row_number window function: GenericUDAFRowNumberEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE Select Operator diff --git ql/src/test/results/clientpositive/windowing_streaming.q.out ql/src/test/results/clientpositive/windowing_streaming.q.out index a4bbef2..8d1071f 100644 --- ql/src/test/results/clientpositive/windowing_streaming.q.out +++ ql/src/test/results/clientpositive/windowing_streaming.q.out @@ -91,7 +91,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -162,7 +162,7 @@ STAGE PLANS: arguments: _col1 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 26 Data size: 3147 Basic stats: COMPLETE Column stats: NONE Filter Operator @@ -362,7 +362,7 @@ STAGE PLANS: arguments: _col5 name: rank window function: GenericUDAFRankEvaluator - window frame: PRECEDING(MAX)~FOLLOWING(MAX) + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) isPivotResult: true Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE Column stats: NONE Filter Operator