diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java index 6a0f0de..a7fb5e2 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/GroupByOperator.java @@ -65,7 +65,7 @@ import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo; import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils; import org.apache.hadoop.io.BytesWritable; -import org.apache.hadoop.io.IntWritable; +import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import javolution.util.FastBitSet; @@ -77,6 +77,7 @@ private static final long serialVersionUID = 1L; private static final int NUMROWSESTIMATESIZE = 1000; + public static final String NO_MAPPER_PATH_SUFFIX = "_NO_MAPPER"; private transient ExprNodeEvaluator[] keyFields; private transient ObjectInspector[] keyObjectInspectors; @@ -129,9 +130,9 @@ private transient boolean groupingSetsPresent; // generates grouping set private transient int groupingSetsPosition; // position of grouping set, generally the last of keys - private transient List groupingSets; // declared grouping set values + private transient List groupingSets; // declared grouping set values private transient FastBitSet[] groupingSetsBitSet; // bitsets acquired from grouping set values - private transient IntWritable[] newKeysGroupingSets; + private transient LongWritable[] newKeysGroupingSets; // for these positions, some variable primitive type (String) is used, so size // cannot be estimated. sample it at runtime. @@ -179,7 +180,7 @@ * @param length * @return */ - public static FastBitSet groupingSet2BitSet(int value, int length) { + public static FastBitSet groupingSet2BitSet(long value, int length) { FastBitSet bits = new FastBitSet(); for (int index = length - 1; index >= 0; index--) { if (value % 2 != 0) { @@ -230,13 +231,13 @@ protected void initializeOp(Configuration hconf) throws HiveException { if (groupingSetsPresent) { groupingSets = conf.getListGroupingSets(); groupingSetsPosition = conf.getGroupingSetPosition(); - newKeysGroupingSets = new IntWritable[groupingSets.size()]; + newKeysGroupingSets = new LongWritable[groupingSets.size()]; groupingSetsBitSet = new FastBitSet[groupingSets.size()]; int pos = 0; - for (Integer groupingSet: groupingSets) { + for (Long groupingSet: groupingSets) { // Create the mapping corresponding to the grouping set - newKeysGroupingSets[pos] = new IntWritable(groupingSet); + newKeysGroupingSets[pos] = new LongWritable(groupingSet); groupingSetsBitSet[pos] = groupingSet2BitSet(groupingSet, groupingSetsPosition); pos++; } @@ -732,6 +733,10 @@ private void processKey(Object row, @Override public void process(Object row, int tag) throws HiveException { + // map-side cleanup when we see atleast 1 row + if (firstRow && getConf().getMode().equals(GroupByDesc.Mode.HASH)) { + Utilities.cleanUpNoMapperPath(getConfiguration()); + } firstRow = false; ObjectInspector rowInspector = inputObjInspectors[tag]; // Total number of input rows is needed for hash aggregation only @@ -1095,13 +1100,13 @@ public void closeOp(boolean abort) throws HiveException { if (!abort) { try { // If there is no grouping key and no row came to this operator - if (firstRow && GroupByOperator.shouldEmitSummaryRow(conf)) { + if (firstRow && GroupByOperator.shouldEmitSummaryRow(conf, getConfiguration())) { firstRow = false; Object[] keys=new Object[outputKeyLength]; int pos = conf.getGroupingSetPosition(); if (pos >= 0 && pos < outputKeyLength) { - keys[pos] = new IntWritable((1 << pos) - 1); + keys[pos] = new LongWritable((1L << pos) - 1); } forward(keys, aggregations); } else { @@ -1163,7 +1168,7 @@ public boolean acceptLimitPushdown() { getConf().getMode() == GroupByDesc.Mode.COMPLETE; } - public static boolean shouldEmitSummaryRow(GroupByDesc desc) { + public static boolean shouldEmitSummaryRow(GroupByDesc desc, final Configuration conf) throws HiveException { // exactly one reducer should emit the summary row if (!firstReducer()) { return false; @@ -1172,14 +1177,27 @@ public static boolean shouldEmitSummaryRow(GroupByDesc desc) { if (desc.getKeys().size() == 0) { return true; } - int groupingSetPosition = desc.getGroupingSetPosition(); - List listGroupingSets = desc.getListGroupingSets(); - // groupingSets are known at map/reducer side; but have to do real processing - // hence grouppingSetsPresent is true only at map side - if (groupingSetPosition >= 0 && listGroupingSets != null) { - Integer emptyGrouping = (1 << groupingSetPosition) - 1; - if (listGroupingSets.contains(emptyGrouping)) { - return true; + + // When there are no splits, tez does not launch mappers. + // _NO_MAPPER path is created by HiveSplitGenerator. If mappers are launched, close() of Hash and Streaming mode + // will cleanup the path. If no mappers are launched, then no rows are processed in which case we just need to + // emit one summary row (emitted by first reducer). + boolean isTez = HiveConf.getVar(conf, HiveConf.ConfVars.HIVE_EXECUTION_ENGINE).equals("tez"); + boolean noMapperOutput = isTez ? Utilities.isNoMapperPathExists(conf) : true; + if (noMapperOutput) { + try { + int groupingSetPosition = desc.getGroupingSetPosition(); + List listGroupingSets = desc.getListGroupingSets(); + // groupingSets are known at map/reducer side; but have to do real processing + // hence grouppingSetsPresent is true only at map side + if (groupingSetPosition >= 0 && listGroupingSets != null) { + Long emptyGrouping = (1L << groupingSetPosition) - 1; + if (listGroupingSets.contains(emptyGrouping)) { + return true; + } + } + } finally { + Utilities.cleanUpNoMapperPath(conf); } } return false; diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java index d7b3e4b..f534601 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/Utilities.java @@ -668,6 +668,61 @@ public static Path getPlanPath(Configuration conf) { return null; } + public static Path getNoMapperPath(Configuration conf) { + Path planPath = getPlanPath(conf); + if (planPath != null) { + Path scratchPath = planPath.getParent(); + Path noMapperPath = new Path(scratchPath, GroupByOperator.NO_MAPPER_PATH_SUFFIX); + return noMapperPath; + } + return null; + } + + public static void createNoMapperPath(Configuration conf) throws HiveException { + Path noMapperPath = getNoMapperPath(conf); + if (noMapperPath != null) { + try { + FileSystem fs = noMapperPath.getFileSystem(conf); + if (!fs.exists(noMapperPath)) { + fs.create(noMapperPath); + LOG.info("Created {}", noMapperPath); + } + } catch (IOException e) { + throw new HiveException("Unable to get FileSystem when creating " + noMapperPath + " path", e); + } + } + } + + public static void cleanUpNoMapperPath(Configuration conf) throws HiveException { + Path noMapperPath = getNoMapperPath(conf); + if (noMapperPath != null) { + try { + FileSystem fs = noMapperPath.getFileSystem(conf); + if (fs.exists(noMapperPath)) { + fs.delete(noMapperPath, false); + LOG.info("Deleted {}.", noMapperPath, fs.exists(noMapperPath)); + } + } catch (IOException e) { + throw new HiveException("Unable to get FileSystem when deleting " + noMapperPath + " path", e); + } + } + } + + public static boolean isNoMapperPathExists(Configuration conf) throws HiveException { + Path noMapperPath = getNoMapperPath(conf); + if (noMapperPath != null) { + try { + FileSystem fs = noMapperPath.getFileSystem(conf); + if (fs.exists(noMapperPath)) { + return true; + } + } catch (IOException e) { + throw new HiveException("Unable to get FileSystem when checking for " + noMapperPath + " path", e); + } + } + return false; + } + public static class CollectionPersistenceDelegate extends DefaultPersistenceDelegate { @Override protected Expression instantiate(Object oldInstance, Encoder out) { diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/HiveSplitGenerator.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/HiveSplitGenerator.java index 98f4bc0..3882784 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/HiveSplitGenerator.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/HiveSplitGenerator.java @@ -146,6 +146,7 @@ public HiveSplitGenerator(InputInitializerContext initializerContext) throws IOE // Setup the map work for this thread. Pruning modified the work instance to potentially remove // partitions. The same work instance must be used when generating splits. Utilities.setMapWork(jobConf, work); + Utilities.createNoMapperPath(jobConf); try { boolean sendSerializedEvents = conf.getBoolean("mapreduce.tez.input.initializer.serialize.event.payload", true); diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java index 45d809a..f54c7ac 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupByOperator.java @@ -37,6 +37,7 @@ import org.apache.hadoop.hive.ql.exec.GroupByOperator; import org.apache.hadoop.hive.ql.exec.KeyWrapper; import org.apache.hadoop.hive.ql.exec.Operator; +import org.apache.hadoop.hive.ql.exec.Utilities; import org.apache.hadoop.hive.ql.exec.vector.expressions.ConstantVectorExpression; import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression; import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriter; @@ -123,7 +124,7 @@ private transient boolean groupingSetsPresent; // The field bits (i.e. which fields to include) or "id" for each grouping set. - private transient int[] groupingSets; + private transient long[] groupingSets; // The position in the column keys of the dummy grouping set id column. private transient int groupingSetsPosition; @@ -777,7 +778,6 @@ public void close(boolean aborted) throws HiveException { private boolean first; private boolean isLastGroupBatch; - private boolean hasOutput; /** * The group vector key helper. @@ -820,7 +820,6 @@ public void setNextVectorBatchGroupStatus(boolean isLastGroupBatch) throws HiveE @Override public void doProcessBatch(VectorizedRowBatch batch, boolean isFirstGroupingSet, boolean[] currentGroupingSetsOverrideIsNulls) throws HiveException { - hasOutput = true; if (first) { // Copy the group key to output batch now. We'll copy in the aggregates at the end of the group. first = false; @@ -849,12 +848,13 @@ public void close(boolean aborted) throws HiveException { if (!aborted && !first && !isLastGroupBatch) { writeGroupRow(groupAggregators, buffer); } - if (!hasOutput && GroupByOperator.shouldEmitSummaryRow(conf)) { + + if (GroupByOperator.shouldEmitSummaryRow(conf, getConfiguration())) { VectorHashKeyWrapper kw = keyWrappersBatch.getVectorHashKeyWrappers()[0]; kw.setNull(); int pos = conf.getGroupingSetPosition(); if (pos >= 0) { - long val = (1 << pos) - 1; + long val = (1L << pos) - 1; keyWrappersBatch.setLongValue(kw, pos, val); } writeSingleRow(kw , groupAggregators); @@ -933,13 +933,13 @@ private void setupGroupingSets() { return; } - groupingSets = ArrayUtils.toPrimitive(conf.getListGroupingSets().toArray(new Integer[0])); + groupingSets = ArrayUtils.toPrimitive(conf.getListGroupingSets().toArray(new Long[0])); groupingSetsPosition = conf.getGroupingSetPosition(); allGroupingSetsOverrideIsNulls = new boolean[groupingSets.length][]; int pos = 0; - for (int groupingSet: groupingSets) { + for (long groupingSet: groupingSets) { // Create the mapping corresponding to the grouping set @@ -1175,6 +1175,11 @@ public void closeOp(boolean aborted) throws HiveException { if (!aborted && outputBatch.size > 0) { flushOutput(); } + // map-side cleanup when we see atleast 1 row + if ((vectorDesc.getProcessingMode().equals(VectorGroupByDesc.ProcessingMode.HASH) || + vectorDesc.getProcessingMode().equals(VectorGroupByDesc.ProcessingMode.STREAMING)) && runTimeNumRows > 0) { + Utilities.cleanUpNoMapperPath(getConfiguration()); + } } public VectorExpression[] getKeyExpressions() { diff --git a/ql/src/java/org/apache/hadoop/hive/ql/metadata/VirtualColumn.java b/ql/src/java/org/apache/hadoop/hive/ql/metadata/VirtualColumn.java index 2411d3a..48623e5 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/metadata/VirtualColumn.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/metadata/VirtualColumn.java @@ -61,7 +61,7 @@ * set if that column has been aggregated in that row. Otherwise the * value is "0". Returns the decimal representation of the bit vector. */ - GROUPINGID("GROUPING__ID", TypeInfoFactory.intTypeInfo); + GROUPINGID("GROUPING__ID", TypeInfoFactory.longTypeInfo); public static final ImmutableSet VIRTUAL_COLUMN_NAMES = ImmutableSet.of(FILENAME.getName(), BLOCKOFFSET.getName(), ROWOFFSET.getName(), diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveGroupingID.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveGroupingID.java index 4ba27a2..dcbccf6 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveGroupingID.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/reloperators/HiveGroupingID.java @@ -33,7 +33,7 @@ private HiveGroupingID() { super(VirtualColumn.GROUPINGID.getName(), SqlKind.OTHER, - ReturnTypes.INTEGER, + ReturnTypes.BIGINT, InferTypes.BOOLEAN, OperandTypes.NILADIC, SqlFunctionCategory.SYSTEM); diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveExpandDistinctAggregatesRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveExpandDistinctAggregatesRule.java index 864efa4..b33c4c5 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveExpandDistinctAggregatesRule.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveExpandDistinctAggregatesRule.java @@ -327,7 +327,7 @@ private Aggregate createGroupingSets(Aggregate aggregate, List> ar // Create GroupingID column AggregateCall aggCall = AggregateCall.create(HiveGroupingID.INSTANCE, false, new ImmutableList.Builder().build(), -1, this.cluster.getTypeFactory() - .createSqlType(SqlTypeName.INTEGER), HiveGroupingID.INSTANCE.getName()); + .createSqlType(SqlTypeName.BIGINT), HiveGroupingID.INSTANCE.getName()); aggregateCalls.add(aggCall); return new HiveAggregate(cluster, cluster.traitSetOf(HiveRelNode.CONVENTION), aggregate.getInput(), groupSet, origGroupSets, aggregateCalls); diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/HiveGBOpConvUtil.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/HiveGBOpConvUtil.java index f22cd94..70f8343 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/HiveGBOpConvUtil.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/HiveGBOpConvUtil.java @@ -101,7 +101,7 @@ private final List gbKeyTypes = new ArrayList(); private final List gbKeys = new ArrayList(); - private final List grpSets = new ArrayList(); + private final List grpSets = new ArrayList(); private boolean grpSetRqrAdditionalMRJob; private boolean grpIdFunctionNeeded; @@ -177,7 +177,7 @@ private static GBInfo getGBInfo(HiveAggregate aggRel, OpAttr inputOpAf, HiveConf if (aggRel.getGroupType() != Group.SIMPLE) { // 2.1 Translate Grouping set col bitset ImmutableList lstGrpSet = aggRel.getGroupSets(); - int bitmap = 0; + long bitmap = 0; for (ImmutableBitSet grpSet : lstGrpSet) { bitmap = 0; for (Integer bitIdx : grpSet.asList()) { @@ -863,7 +863,7 @@ private static OpAttr genReduceSideGB1(OpAttr inputOpAf, GBInfo gbInfo, boolean groupingSetsColPosition = gbInfo.gbKeys.size(); if (computeGrpSet) { // GrpSet Col needs to be constructed - gbKeys.add(new ExprNodeConstantDesc("0")); + gbKeys.add(new ExprNodeConstantDesc("0L")); } else { // GrpSet Col already part of input RS // TODO: Can't we just copy the ExprNodeDEsc from input (Do we need to @@ -1185,7 +1185,7 @@ private static void addGrpSetCol(boolean createConstantExpr, String grpSetIDExpr ExprNodeDesc grpSetColExpr = null; if (createConstantExpr) { - grpSetColExpr = new ExprNodeConstantDesc("0"); + grpSetColExpr = new ExprNodeConstantDesc("0L"); } else { grpSetColExpr = new ExprNodeColumnDesc(TypeInfoFactory.stringTypeInfo, grpSetIDExprName, null, false); diff --git a/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java b/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java index 85a1f34..3551cc3 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java @@ -3017,7 +3017,7 @@ private AggregateCall convertGBAgg(AggInfo agg, RelNode input, List gbC } private RelNode genGBRelNode(List gbExprs, List aggInfoLst, - List groupSets, RelNode srcRel) throws SemanticException { + List groupSets, RelNode srcRel) throws SemanticException { ImmutableMap posMap = this.relToHiveColNameCalcitePosMap.get(srcRel); RexNodeConverter converter = new RexNodeConverter(this.cluster, srcRel.getRowType(), posMap, 0, false); @@ -3043,7 +3043,7 @@ private RelNode genGBRelNode(List gbExprs, List aggInfoLs if(hasGroupSets) { Set setTransformedGroupSets = new HashSet(groupSets.size()); - for(int val: groupSets) { + for(long val: groupSets) { setTransformedGroupSets.add(convert(val, groupSet.cardinality())); } // Calcite expects the grouping sets sorted and without duplicates @@ -3060,7 +3060,7 @@ private RelNode genGBRelNode(List gbExprs, List aggInfoLs // Create GroupingID column AggregateCall aggCall = AggregateCall.create(HiveGroupingID.INSTANCE, false, new ImmutableList.Builder().build(), -1, - this.cluster.getTypeFactory().createSqlType(SqlTypeName.INTEGER), + this.cluster.getTypeFactory().createSqlType(SqlTypeName.BIGINT), HiveGroupingID.INSTANCE.getName()); aggregateCalls.add(aggCall); } @@ -3079,7 +3079,7 @@ private RelNode genGBRelNode(List gbExprs, List aggInfoLs } /* This method returns the flip big-endian representation of value */ - private ImmutableBitSet convert(int value, int length) { + private ImmutableBitSet convert(long value, int length) { BitSet bits = new BitSet(); for (int index = length - 1; index >= 0; index--) { if (value % 2 != 0) { @@ -3322,7 +3322,7 @@ private RelNode genGBLogicalPlan(QB qb, RelNode srcRel) throws SemanticException // 5. GroupingSets, Cube, Rollup int groupingColsSize = gbExprNDescLst.size(); - List groupingSets = null; + List groupingSets = null; if (cubeRollupGrpSetPresent) { if (qbp.getDestRollups().contains(detsClauseName)) { groupingSets = getGroupingSetsForRollup(grpByAstExprs.size()); @@ -3375,7 +3375,7 @@ private RelNode genGBLogicalPlan(QB qb, RelNode srcRel) throws SemanticException groupByOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(), new ColumnInfo( field, - TypeInfoFactory.intTypeInfo, + VirtualColumn.GROUPINGID.getTypeInfo(), null, true)); } diff --git a/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java b/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java index 83dfb47..66dd7b8 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/parse/SemanticAnalyzer.java @@ -248,6 +248,7 @@ import com.google.common.collect.Iterables; import com.google.common.collect.Sets; import com.google.common.math.IntMath; +import com.google.common.math.LongMath; /** * Implementation of the semantic analyzer. It generates the query plan. @@ -2956,7 +2957,7 @@ public Object post(Object t) { // Query does not contain CUBE, ROLLUP, or GROUPING SETS, and thus, // grouping should return 0 childGroupingID = (ASTNode) ParseDriver.adaptor.create(HiveParser.IntegralLiteral, - String.valueOf(0)); + "0L"); } else { // We refer to grouping_id column childGroupingID = (ASTNode) ParseDriver.adaptor.create( @@ -2974,7 +2975,7 @@ public Object post(Object t) { // Create and add AST node with position of grouping function input // in group by clause ASTNode childN = (ASTNode) ParseDriver.adaptor.create(HiveParser.IntegralLiteral, - String.valueOf(IntMath.mod(-j-1, grpByAstExprs.size()))); + String.valueOf(IntMath.mod(-j-1, grpByAstExprs.size())) + "L"); newRoot.addChild(childN); break; } @@ -3814,18 +3815,18 @@ private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input) } } - protected List getGroupingSetsForRollup(int size) { - List groupingSetKeys = new ArrayList(); + protected List getGroupingSetsForRollup(int size) { + List groupingSetKeys = new ArrayList(); for (int i = 0; i <= size; i++) { - groupingSetKeys.add((1 << i) - 1); + groupingSetKeys.add((1L << i) - 1); } return groupingSetKeys; } - protected List getGroupingSetsForCube(int size) { - int count = 1 << size; - List results = new ArrayList(count); - for (int i = 0; i < count; ++i) { + protected List getGroupingSetsForCube(int size) { + long count = 1L << size; + List results = new ArrayList(); + for (long i = 0; i < count; ++i) { results.add(i); } return results; @@ -3834,9 +3835,9 @@ private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input) // This function returns the grouping sets along with the grouping expressions // Even if rollups and cubes are present in the query, they are converted to // grouping sets at this point - private ObjectPair, List> getGroupByGroupingSetsForClause( + private ObjectPair, List> getGroupByGroupingSetsForClause( QBParseInfo parseInfo, String dest) throws SemanticException { - List groupingSets = new ArrayList(); + List groupingSets = new ArrayList(); List groupByExprs = getGroupByForClause(parseInfo, dest); if (parseInfo.getDestRollups().contains(dest)) { groupingSets = getGroupingSetsForRollup(groupByExprs.size()); @@ -3846,10 +3847,10 @@ private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input) groupingSets = getGroupingSets(groupByExprs, parseInfo, dest); } - return new ObjectPair, List>(groupByExprs, groupingSets); + return new ObjectPair, List>(groupByExprs, groupingSets); } - protected List getGroupingSets(List groupByExpr, QBParseInfo parseInfo, + protected List getGroupingSets(List groupByExpr, QBParseInfo parseInfo, String dest) throws SemanticException { Map exprPos = new HashMap(); for (int i = 0; i < groupByExpr.size(); ++i) { @@ -3858,14 +3859,14 @@ private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input) } ASTNode root = parseInfo.getGroupByForClause(dest); - List result = new ArrayList(root == null ? 0 : root.getChildCount()); + List result = new ArrayList(root == null ? 0 : root.getChildCount()); if (root != null) { for (int i = 0; i < root.getChildCount(); ++i) { ASTNode child = (ASTNode) root.getChild(i); if (child.getType() != HiveParser.TOK_GROUPING_SETS_EXPRESSION) { continue; } - int bitmap = IntMath.pow(2, groupByExpr.size()) - 1; + long bitmap = LongMath.pow(2, groupByExpr.size()) - 1; for (int j = 0; j < child.getChildCount(); ++j) { String treeAsString = child.getChild(j).toStringTree(); Integer pos = exprPos.get(treeAsString); @@ -3879,27 +3880,27 @@ private Operator genScriptPlan(ASTNode trfm, QB qb, Operator input) result.add(bitmap); } } - if (checkForEmptyGroupingSets(result, IntMath.pow(2, groupByExpr.size()) - 1)) { + if (checkForEmptyGroupingSets(result, LongMath.pow(2, groupByExpr.size()) - 1)) { throw new SemanticException( ErrorMsg.HIVE_GROUPING_SETS_EMPTY.getMsg()); } return result; } - private boolean checkForEmptyGroupingSets(List bitmaps, int groupingIdAllSet) { + private boolean checkForEmptyGroupingSets(List bitmaps, long groupingIdAllSet) { boolean ret = true; - for (int mask : bitmaps) { + for (long mask : bitmaps) { ret &= mask == groupingIdAllSet; } return ret; } - public static int setBit(int bitmap, int bitIdx) { - return bitmap | (1 << bitIdx); + public static long setBit(long bitmap, int bitIdx) { + return bitmap | (1L << bitIdx); } - public static int unsetBit(int bitmap, int bitIdx) { - return bitmap & ~(1 << bitIdx); + public static long unsetBit(long bitmap, int bitIdx) { + return bitmap & ~(1L << bitIdx); } /** @@ -4758,7 +4759,7 @@ private void addGroupingSetKey(List groupByKeys, // For grouping sets, add a dummy grouping key String groupingSetColumnName = groupByInputRowResolver.get(null, VirtualColumn.GROUPINGID.getName()).getInternalName(); - ExprNodeDesc inputExpr = new ExprNodeColumnDesc(TypeInfoFactory.intTypeInfo, + ExprNodeDesc inputExpr = new ExprNodeColumnDesc(VirtualColumn.GROUPINGID.getTypeInfo(), groupingSetColumnName, null, false); groupByKeys.add(inputExpr); @@ -4767,7 +4768,7 @@ private void addGroupingSetKey(List groupByKeys, groupByOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(), new ColumnInfo( field, - TypeInfoFactory.intTypeInfo, + VirtualColumn.GROUPINGID.getTypeInfo(), null, true)); colExprMap.put(field, groupByKeys.get(groupByKeys.size() - 1)); @@ -4789,7 +4790,7 @@ private void processGroupingSetReduceSinkOperator(RowResolver reduceSinkInputRow // add a key for reduce sink String groupingSetColumnName = reduceSinkInputRowResolver.get(null, VirtualColumn.GROUPINGID.getName()).getInternalName(); - ExprNodeDesc inputExpr = new ExprNodeColumnDesc(TypeInfoFactory.intTypeInfo, + ExprNodeDesc inputExpr = new ExprNodeColumnDesc(VirtualColumn.GROUPINGID.getTypeInfo(), groupingSetColumnName, null, false); reduceKeys.add(inputExpr); @@ -4827,7 +4828,7 @@ private void processGroupingSetReduceSinkOperator(RowResolver reduceSinkInputRow private Operator genGroupByPlanGroupByOperator1(QBParseInfo parseInfo, String dest, Operator reduceSinkOperatorInfo, GroupByDesc.Mode mode, Map genericUDAFEvaluators, - List groupingSets, + List groupingSets, boolean groupingSetsPresent, boolean groupingSetsNeedAdditionalMRJob) throws SemanticException { ArrayList outputColumnNames = new ArrayList(); @@ -5021,14 +5022,14 @@ private void createNewGroupingKey(List groupByKeys, Map colExprMap) { // The value for the constant does not matter. It is replaced by the grouping set // value for the actual implementation - ExprNodeConstantDesc constant = new ExprNodeConstantDesc(0); + ExprNodeConstantDesc constant = new ExprNodeConstantDesc(VirtualColumn.GROUPINGID.getTypeInfo(), 0L); groupByKeys.add(constant); String field = getColumnInternalName(groupByKeys.size() - 1); outputColumnNames.add(field); groupByOutputRowResolver.put(null, VirtualColumn.GROUPINGID.getName(), new ColumnInfo( field, - TypeInfoFactory.intTypeInfo, + VirtualColumn.GROUPINGID.getTypeInfo(), null, true)); colExprMap.put(field, constant); @@ -5054,7 +5055,7 @@ private Operator genGroupByPlanMapGroupByOperator(QB qb, Operator inputOperatorInfo, GroupByDesc.Mode mode, Map genericUDAFEvaluators, - List groupingSetKeys, + List groupingSetKeys, boolean groupingSetsPresent) throws SemanticException { RowResolver groupByInputRowResolver = opParseCtx.get(inputOperatorInfo) @@ -5754,11 +5755,11 @@ private Operator genGroupByPlan1MR(String dest, QB qb, Operator input) QBParseInfo parseInfo = qb.getParseInfo(); int numReducers = -1; - ObjectPair, List> grpByExprsGroupingSets = + ObjectPair, List> grpByExprsGroupingSets = getGroupByGroupingSetsForClause(parseInfo, dest); List grpByExprs = grpByExprsGroupingSets.getFirst(); - List groupingSets = grpByExprsGroupingSets.getSecond(); + List groupingSets = grpByExprsGroupingSets.getSecond(); if (grpByExprs.isEmpty()) { numReducers = 1; @@ -5803,10 +5804,10 @@ private Operator genGroupByPlan1ReduceMultiGBY(List dests, QB qb, Operat List whereExpressions = new ArrayList(); for (String dest : dests) { - ObjectPair, List> grpByExprsGroupingSets = + ObjectPair, List> grpByExprsGroupingSets = getGroupByGroupingSetsForClause(parseInfo, dest); - List groupingSets = grpByExprsGroupingSets.getSecond(); + List groupingSets = grpByExprsGroupingSets.getSecond(); if (!groupingSets.isEmpty()) { throw new SemanticException(ErrorMsg.HIVE_GROUPING_SETS_AGGR_NOMAPAGGR_MULTIGBY.getMsg()); } @@ -5949,11 +5950,11 @@ private Operator genGroupByPlan2MR(String dest, QB qb, Operator input) QBParseInfo parseInfo = qb.getParseInfo(); - ObjectPair, List> grpByExprsGroupingSets = + ObjectPair, List> grpByExprsGroupingSets = getGroupByGroupingSetsForClause(parseInfo, dest); List grpByExprs = grpByExprsGroupingSets.getFirst(); - List groupingSets = grpByExprsGroupingSets.getSecond(); + List groupingSets = grpByExprsGroupingSets.getSecond(); // Grouping sets are not allowed // This restriction can be lifted in future. @@ -6145,11 +6146,11 @@ private Operator genGroupByPlanMapAggrNoSkew(String dest, QB qb, Operator inputOperatorInfo) throws SemanticException { QBParseInfo parseInfo = qb.getParseInfo(); - ObjectPair, List> grpByExprsGroupingSets = + ObjectPair, List> grpByExprsGroupingSets = getGroupByGroupingSetsForClause(parseInfo, dest); List grpByExprs = grpByExprsGroupingSets.getFirst(); - List groupingSets = grpByExprsGroupingSets.getSecond(); + List groupingSets = grpByExprsGroupingSets.getSecond(); boolean groupingSetsPresent = !groupingSets.isEmpty(); int newMRJobGroupingSetsThreshold = @@ -6314,11 +6315,11 @@ private Operator genGroupByPlanMapAggr2MR(String dest, QB qb, QBParseInfo parseInfo = qb.getParseInfo(); - ObjectPair, List> grpByExprsGroupingSets = + ObjectPair, List> grpByExprsGroupingSets = getGroupByGroupingSetsForClause(parseInfo, dest); List grpByExprs = grpByExprsGroupingSets.getFirst(); - List groupingSets = grpByExprsGroupingSets.getSecond(); + List groupingSets = grpByExprsGroupingSets.getSecond(); boolean groupingSetsPresent = !groupingSets.isEmpty(); if (groupingSetsPresent) { diff --git a/ql/src/java/org/apache/hadoop/hive/ql/plan/GroupByDesc.java b/ql/src/java/org/apache/hadoop/hive/ql/plan/GroupByDesc.java index e90a398..86cc77d 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/plan/GroupByDesc.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/plan/GroupByDesc.java @@ -70,7 +70,7 @@ private boolean bucketGroup; private ArrayList keys; - private List listGroupingSets; + private List listGroupingSets; private boolean groupingSetsPresent; private int groupingSetPosition = -1; // /* in case of grouping sets; groupby1 will output values for every setgroup; this is the index of the column that information will be sent */ private ArrayList aggregators; @@ -90,7 +90,7 @@ public GroupByDesc( final ArrayList aggregators, final float groupByMemoryUsage, final float memoryThreshold, - final List listGroupingSets, + final List listGroupingSets, final boolean groupingSetsPresent, final int groupingSetsPosition, final boolean isDistinct) { @@ -107,7 +107,7 @@ public GroupByDesc( final boolean bucketGroup, final float groupByMemoryUsage, final float memoryThreshold, - final List listGroupingSets, + final List listGroupingSets, final boolean groupingSetsPresent, final int groupingSetsPosition, final boolean isDistinct) { @@ -267,11 +267,11 @@ public boolean isDistinctLike() { // in which case the group by would execute as a single map-reduce job. // For the group-by, the group by keys should be: a,b,groupingSet(for rollup), c // So, the starting position of grouping set need to be known - public List getListGroupingSets() { + public List getListGroupingSets() { return listGroupingSets; } - public void setListGroupingSets(final List listGroupingSets) { + public void setListGroupingSets(final List listGroupingSets) { this.listGroupingSets = listGroupingSets; } @@ -315,7 +315,7 @@ public Object clone() { keys.addAll(this.keys); ArrayList aggregators = new ArrayList<>(); aggregators.addAll(this.aggregators); - List listGroupingSets = new ArrayList<>(); + List listGroupingSets = new ArrayList<>(); listGroupingSets.addAll(this.listGroupingSets); return new GroupByDesc(this.mode, outputColumnNames, keys, aggregators, this.groupByMemoryUsage, this.memoryThreshold, listGroupingSets, this.groupingSetsPresent, diff --git a/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java b/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java index c0c3015..d11e51b 100644 --- a/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java +++ b/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFGrouping.java @@ -23,17 +23,18 @@ import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException; import org.apache.hadoop.hive.ql.metadata.HiveException; import org.apache.hadoop.hive.ql.udf.UDFType; +import org.apache.hadoop.hive.serde2.objectinspector.ConstantObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector.Category; import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory; -import org.apache.hadoop.hive.serde2.objectinspector.primitive.IntObjectInspector; import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory; import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorUtils; import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableConstantIntObjectInspector; -import org.apache.hadoop.io.IntWritable; +import org.apache.hadoop.hive.serde2.objectinspector.primitive.WritableConstantLongObjectInspector; +import org.apache.hadoop.io.LongWritable; -import com.google.common.math.IntMath; +import com.google.common.math.LongMath; /** * UDF grouping @@ -45,9 +46,9 @@ @UDFType(deterministic = true) public class GenericUDFGrouping extends GenericUDF { - private transient IntObjectInspector groupingIdOI; + private transient PrimitiveObjectInspector groupingIdOI; private int[] indices; - private IntWritable intWritable = new IntWritable(); + private LongWritable longWritable = new LongWritable(); @Override public ObjectInspector initialize(ObjectInspector[] arguments) throws UDFArgumentException { @@ -60,37 +61,41 @@ public ObjectInspector initialize(ObjectInspector[] arguments) throws UDFArgumen throw new UDFArgumentTypeException(0, "The first argument to grouping() must be primitive"); } PrimitiveObjectInspector arg1OI = (PrimitiveObjectInspector) arguments[0]; - if (arg1OI.getPrimitiveCategory() != PrimitiveCategory.INT) { - throw new UDFArgumentTypeException(0, "The first argument to grouping() must be an integer"); + // INT can happen in cases where grouping() is used without grouping sets, in all other cases it should be LONG. + if (!(arg1OI.getPrimitiveCategory() == PrimitiveCategory.INT || + arg1OI.getPrimitiveCategory() == PrimitiveCategory.LONG)) { + throw new UDFArgumentTypeException(0, + "The first argument to grouping() must be an int/long. Got: " + arg1OI.getPrimitiveCategory()); } - groupingIdOI = (IntObjectInspector) arguments[0]; + groupingIdOI = arg1OI; indices = new int[arguments.length - 1]; for (int i = 1; i < arguments.length; i++) { PrimitiveObjectInspector arg2OI = (PrimitiveObjectInspector) arguments[i]; - if (!(arg2OI instanceof WritableConstantIntObjectInspector)) { - throw new UDFArgumentTypeException(i, "Must be a constant"); + if (!(arg2OI instanceof ConstantObjectInspector)) { + throw new UDFArgumentTypeException(i, "Must be a constant. Got: " + arg2OI.getClass().getSimpleName()); } - indices[i - 1] = ((WritableConstantIntObjectInspector)arg2OI).getWritableConstantValue().get(); + indices[i - 1] = PrimitiveObjectInspectorUtils + .getInt(((ConstantObjectInspector) arguments[i]).getWritableConstantValue(), arg2OI); } - return PrimitiveObjectInspectorFactory.writableIntObjectInspector; + return PrimitiveObjectInspectorFactory.writableLongObjectInspector; } @Override public Object evaluate(DeferredObject[] arguments) throws HiveException { // groupingId = PrimitiveObjectInspectorUtils.getInt(arguments[0].get(), groupingIdOI); // Check that the bit at the given index is '1' or '0' - int result = 0; + long result = 0; // grouping(c1, c2, c3) // is equivalent to // 4 * grouping(c1) + 2 * grouping(c2) + grouping(c3) for (int a = 1; a < arguments.length; a++) { - result += IntMath.pow(2, indices.length - a) * - ((PrimitiveObjectInspectorUtils.getInt(arguments[0].get(), groupingIdOI) >> indices[a - 1]) & 1); + result += LongMath.pow(2, indices.length - a) * + ((PrimitiveObjectInspectorUtils.getLong(arguments[0].get(), groupingIdOI) >> indices[a - 1]) & 1); } - intWritable.set(result); - return intWritable; + longWritable.set(result); + return longWritable; } @Override diff --git a/ql/src/test/queries/clientpositive/cte_1.q b/ql/src/test/queries/clientpositive/cte_1.q index 15d3f06..6d4e05d 100644 --- a/ql/src/test/queries/clientpositive/cte_1.q +++ b/ql/src/test/queries/clientpositive/cte_1.q @@ -60,4 +60,4 @@ create table cte10_t1 as with q1 as (select cint, cstring1 from alltypesorc where cint > 70) select * from q1; with q1 as (select cint , cstring1 from alltypesorc where age < 50) - select * from cte10_t1; \ No newline at end of file + select * from cte10_t1; diff --git a/ql/src/test/queries/clientpositive/groupingset_high_columns.q b/ql/src/test/queries/clientpositive/groupingset_high_columns.q new file mode 100644 index 0000000..977ced6 --- /dev/null +++ b/ql/src/test/queries/clientpositive/groupingset_high_columns.q @@ -0,0 +1,259 @@ +create table facts (val string); + +insert into facts values ('abcdefghijklmnopqrstuvwxyz0123456789'); + +set hive.vectorized.execution.enabled=false; +drop table groupingsets32; +drop table groupingsets33; +drop table groupingsets32a; +drop table groupingsets33a; + +create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +); + +select * from groupingsets32; + +create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +); + +select * from groupingsets32a; + +create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) ; + +select * from groupingsets33; + +create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) ; + +select * from groupingsets33a; + +set hive.vectorized.execution.enabled=true; + +drop table groupingsets32; +drop table groupingsets33; + +drop table groupingsets32; +drop table groupingsets33; +drop table groupingsets32a; +drop table groupingsets33a; + +create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +); + +select * from groupingsets32; + +create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +); + +select * from groupingsets32a; + +create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) ; + +select * from groupingsets33; + +create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) ; + +select * from groupingsets33a; diff --git a/ql/src/test/results/clientpositive/annotate_stats_groupby.q.out b/ql/src/test/results/clientpositive/annotate_stats_groupby.q.out index ed3d594..25efe1e 100644 --- a/ql/src/test/results/clientpositive/annotate_stats_groupby.q.out +++ b/ql/src/test/results/clientpositive/annotate_stats_groupby.q.out @@ -304,25 +304,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -354,25 +354,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -404,25 +404,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -454,25 +454,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 8 Data size: 752 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 784 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 8 Data size: 752 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 8 Data size: 784 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 8 Data size: 752 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 784 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 8 Data size: 752 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 784 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -504,25 +504,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -554,25 +554,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 24 Data size: 2256 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 2352 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -604,25 +604,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 32 Data size: 3008 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 3136 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -703,25 +703,25 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 16 Data size: 1504 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 1568 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -802,18 +802,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE @@ -852,18 +852,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 1194 Basic stats: COMPLETE Column stats: NONE @@ -902,18 +902,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 1194 Basic stats: COMPLETE Column stats: NONE @@ -952,18 +952,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 4 Data size: 398 Basic stats: COMPLETE Column stats: NONE @@ -1002,18 +1002,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE @@ -1052,18 +1052,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 1194 Basic stats: COMPLETE Column stats: NONE @@ -1102,18 +1102,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE @@ -1201,18 +1201,18 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), 0 (type: int) + keys: state (type: string), locid (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/annotate_stats_groupby2.q.out b/ql/src/test/results/clientpositive/annotate_stats_groupby2.q.out index ffcb20f..78c4808 100644 --- a/ql/src/test/results/clientpositive/annotate_stats_groupby2.q.out +++ b/ql/src/test/results/clientpositive/annotate_stats_groupby2.q.out @@ -105,18 +105,18 @@ STAGE PLANS: outputColumnNames: state, country Statistics: Num rows: 20 Data size: 200 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), country (type: string), 0 (type: int) + keys: state (type: string), country (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 80 Data size: 800 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 80 Data size: 800 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 40 Data size: 400 Basic stats: COMPLETE Column stats: NONE @@ -253,25 +253,25 @@ STAGE PLANS: outputColumnNames: state, country Statistics: Num rows: 20 Data size: 3460 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), country (type: string), 0 (type: int) + keys: state (type: string), country (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 40 Data size: 7080 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 40 Data size: 7240 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) - Statistics: Num rows: 40 Data size: 7080 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) + Statistics: Num rows: 40 Data size: 7240 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 8 Data size: 1416 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1448 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 8 Data size: 1416 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1448 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat @@ -352,25 +352,25 @@ STAGE PLANS: outputColumnNames: state, country Statistics: Num rows: 20 Data size: 3460 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), country (type: string), 0 (type: int) + keys: state (type: string), country (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 80 Data size: 14160 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 80 Data size: 14480 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) - Statistics: Num rows: 80 Data size: 14160 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) + Statistics: Num rows: 80 Data size: 14480 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 - Statistics: Num rows: 8 Data size: 1416 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1448 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true File Output Operator compressed: false - Statistics: Num rows: 8 Data size: 1416 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1448 Basic stats: COMPLETE Column stats: COMPLETE table: input format: org.apache.hadoop.mapred.SequenceFileInputFormat output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat diff --git a/ql/src/test/results/clientpositive/cbo_rp_annotate_stats_groupby.q.out b/ql/src/test/results/clientpositive/cbo_rp_annotate_stats_groupby.q.out index 3d92a0d..63ecd8b 100644 --- a/ql/src/test/results/clientpositive/cbo_rp_annotate_stats_groupby.q.out +++ b/ql/src/test/results/clientpositive/cbo_rp_annotate_stats_groupby.q.out @@ -304,15 +304,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 32 Data size: 5600 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 5632 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 32 Data size: 5600 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 5632 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -353,15 +353,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -402,15 +402,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -451,15 +451,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 8 Data size: 1400 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1408 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 8 Data size: 1400 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 8 Data size: 1408 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -500,15 +500,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 2816 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 2816 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -549,15 +549,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 24 Data size: 4200 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 24 Data size: 4224 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -598,15 +598,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 32 Data size: 5600 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 5632 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 32 Data size: 5600 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 32 Data size: 5632 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -696,15 +696,15 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 720 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 2816 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: int) - Statistics: Num rows: 16 Data size: 2800 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 16 Data size: 2816 Basic stats: COMPLETE Column stats: COMPLETE Reduce Operator Tree: Group By Operator keys: KEY._col0 (type: string), KEY._col1 (type: int) @@ -794,7 +794,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE @@ -843,7 +843,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE @@ -892,7 +892,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE @@ -941,7 +941,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE @@ -990,7 +990,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 16 Data size: 1592 Basic stats: COMPLETE Column stats: NONE @@ -1039,7 +1039,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 2388 Basic stats: COMPLETE Column stats: NONE @@ -1088,7 +1088,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE @@ -1186,7 +1186,7 @@ STAGE PLANS: outputColumnNames: state, locid Statistics: Num rows: 8 Data size: 796 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: state (type: string), locid (type: int), '0' (type: string) + keys: state (type: string), locid (type: int), '0L' (type: string) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 32 Data size: 3184 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_cube1.q.out b/ql/src/test/results/clientpositive/groupby_cube1.q.out index e5ece81..37b8c62 100644 --- a/ql/src/test/results/clientpositive/groupby_cube1.q.out +++ b/ql/src/test/results/clientpositive/groupby_cube1.q.out @@ -37,20 +37,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -96,20 +96,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -181,25 +181,25 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -265,19 +265,19 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -338,12 +338,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -351,7 +351,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -367,7 +367,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -375,7 +375,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -448,19 +448,19 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -476,7 +476,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -484,7 +484,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -572,12 +572,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -588,7 +588,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -601,7 +601,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -617,7 +617,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -625,7 +625,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -711,7 +711,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -719,7 +719,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -735,7 +735,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -743,7 +743,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_cube_multi_gby.q.out b/ql/src/test/results/clientpositive/groupby_cube_multi_gby.q.out index 9a6457c..e6126ab 100644 --- a/ql/src/test/results/clientpositive/groupby_cube_multi_gby.q.out +++ b/ql/src/test/results/clientpositive/groupby_cube_multi_gby.q.out @@ -52,21 +52,21 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: string), value (type: string), 0 (type: int) + keys: key (type: string), value (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE Select Operator expressions: key (type: string), value (type: string) outputColumnNames: key, value Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: string), value (type: string), 0 (type: int) + keys: key (type: string), value (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE @@ -78,7 +78,7 @@ STAGE PLANS: serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE @@ -163,13 +163,13 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_id3.q.out b/ql/src/test/results/clientpositive/groupby_grouping_id3.q.out index f13b6e5..ac43413 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_id3.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_id3.q.out @@ -45,7 +45,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -53,21 +53,21 @@ STAGE PLANS: predicate: (_col2 = 1) (type: boolean) Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), 1 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), 1 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), 1 (type: bigint) Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: int), KEY._col1 (type: int), 1 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), 1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE pruneGroupingSetId: true Select Operator - expressions: _col0 (type: int), _col1 (type: int), 1 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -135,20 +135,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -156,7 +156,7 @@ STAGE PLANS: predicate: (_col2 = 1) (type: boolean) Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), 1 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets1.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets1.q.out index d70f065..62fc9fb 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets1.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets1.q.out @@ -53,20 +53,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -137,20 +137,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -221,20 +221,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -305,20 +305,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE @@ -384,18 +384,18 @@ STAGE PLANS: outputColumnNames: a, b, c Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: a (type: string), b (type: string), c (type: string), 0 (type: int) + keys: a (type: string), b (type: string), c (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 1080 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) Statistics: Num rows: 3 Data size: 1080 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets2.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets2.q.out index 453b9f7..43e17ec 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets2.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets2.q.out @@ -52,7 +52,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -68,15 +68,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -137,7 +137,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -153,15 +153,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -246,7 +246,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -262,15 +262,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: double) Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -378,7 +378,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 168 Basic stats: COMPLETE Column stats: NONE @@ -394,15 +394,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 24 Data size: 168 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 84 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets3.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets3.q.out index be8d20e..352d4be 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets3.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets3.q.out @@ -46,20 +46,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 720 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(c), count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct), _col4 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), count(VALUE._col1) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 2 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -106,20 +106,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 720 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(c), count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct), _col4 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), count(VALUE._col1) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 2 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -205,7 +205,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), count(VALUE._col1) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE @@ -221,15 +221,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 2880 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct), _col4 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), count(VALUE._col1) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 2 Data size: 1440 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets4.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets4.q.out index 0c6ead9..e368e1e 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets4.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets4.q.out @@ -46,20 +46,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -123,20 +123,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -193,20 +193,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -270,20 +270,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -384,7 +384,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -400,15 +400,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -485,7 +485,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -501,15 +501,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets5.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets5.q.out index 0bb12e1..1766fb9 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets5.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets5.q.out @@ -56,7 +56,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -72,15 +72,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -145,7 +145,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -161,15 +161,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -284,7 +284,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE @@ -300,15 +300,15 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets6.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets6.q.out index 5b990a1..563b110 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets6.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets6.q.out @@ -39,18 +39,18 @@ STAGE PLANS: predicate: (UDFToDouble(a) = 5.0) (type: boolean) Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE @@ -108,18 +108,18 @@ STAGE PLANS: predicate: (UDFToDouble(a) = 5.0) (type: boolean) Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets_grouping.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets_grouping.q.out index 1f2f86b..1f2cd45 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets_grouping.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets_grouping.q.out @@ -40,23 +40,23 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -122,23 +122,23 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -211,18 +211,18 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -298,18 +298,18 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -317,7 +317,7 @@ STAGE PLANS: predicate: ((grouping(_col2, 0) = 1) or (grouping(_col2, 1) = 1)) (type: boolean) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: int), CASE WHEN (((grouping(_col2, 1) + grouping(_col2, 0)) = 1)) THEN (_col0) ELSE (null) END (type: int) + expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: bigint), CASE WHEN (((grouping(_col2, 1) + grouping(_col2, 0)) = 1)) THEN (_col0) ELSE (null) END (type: int) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -332,13 +332,13 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col2 (type: int), _col3 (type: int) + key expressions: _col2 (type: bigint), _col3 (type: int) sort order: -+ Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE value expressions: _col0 (type: int), _col1 (type: int) Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int) + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: bigint) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -407,23 +407,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -489,23 +489,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -578,7 +578,7 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -586,13 +586,13 @@ STAGE PLANS: predicate: (grouping(_col2, 1) = 1) (type: boolean) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -662,7 +662,7 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -670,18 +670,18 @@ STAGE PLANS: predicate: ((grouping(_col2, 0) = 1) or (grouping(_col2, 1) = 1)) (type: boolean) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: int) + expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: bigint) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -696,13 +696,13 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col2 (type: int), CASE WHEN ((_col2 = 1)) THEN (_col0) END (type: int) + key expressions: _col2 (type: bigint), CASE WHEN ((_col2 = 1)) THEN (_col0) END (type: int) sort order: -+ Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE value expressions: _col0 (type: int), _col1 (type: int) Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int) + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: bigint) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -787,7 +787,7 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), 0 (type: int), 0 (type: int) + expressions: _col0 (type: int), _col1 (type: int), 0 (type: bigint), 0 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -864,7 +864,7 @@ STAGE PLANS: outputColumnNames: _col0, _col1 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), 0 (type: int) + expressions: _col0 (type: int), _col1 (type: int), 0 (type: bigint) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1002,23 +1002,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1089,23 +1089,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 0, 1) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 0, 1) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1176,23 +1176,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1258,23 +1258,23 @@ STAGE PLANS: outputColumnNames: key, value Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 0, 1) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 0, 1) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/groupby_grouping_sets_limit.q.out b/ql/src/test/results/clientpositive/groupby_grouping_sets_limit.q.out index b25b0e5..efa1802 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_sets_limit.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_sets_limit.q.out @@ -37,21 +37,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -118,21 +118,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1440 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE @@ -199,21 +199,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2 Data size: 720 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE @@ -279,19 +279,19 @@ STAGE PLANS: outputColumnNames: a, b, c Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: a (type: string), b (type: string), c (type: string), 0 (type: int) + keys: a (type: string), b (type: string), c (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 1080 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) Statistics: Num rows: 3 Data size: 1080 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 360 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_grouping_window.q.out b/ql/src/test/results/clientpositive/groupby_grouping_window.q.out index 32135e4..0f58f51 100644 --- a/ql/src/test/results/clientpositive/groupby_grouping_window.q.out +++ b/ql/src/test/results/clientpositive/groupby_grouping_window.q.out @@ -49,20 +49,20 @@ STAGE PLANS: Statistics: Num rows: 3 Data size: 20 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: max(live), max(comments) - keys: category (type: int), 0 (type: int) + keys: category (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int) + key expressions: _col0 (type: int), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: bigint) Statistics: Num rows: 6 Data size: 40 Basic stats: COMPLETE Column stats: NONE value expressions: _col2 (type: int), _col3 (type: int) Reduce Operator Tree: Group By Operator aggregations: max(VALUE._col0), max(VALUE._col1) - keys: KEY._col0 (type: int), KEY._col1 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2, _col3 Statistics: Num rows: 3 Data size: 20 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_rollup1.q.out b/ql/src/test/results/clientpositive/groupby_rollup1.q.out index bc1d8a9..a849a8d 100644 --- a/ql/src/test/results/clientpositive/groupby_rollup1.q.out +++ b/ql/src/test/results/clientpositive/groupby_rollup1.q.out @@ -37,20 +37,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -116,19 +116,19 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -189,12 +189,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -202,7 +202,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -218,7 +218,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -226,7 +226,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -293,19 +293,19 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -321,7 +321,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -329,7 +329,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -417,12 +417,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -433,7 +433,7 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -446,7 +446,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -462,7 +462,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -470,7 +470,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -556,7 +556,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -564,7 +564,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -580,7 +580,7 @@ STAGE PLANS: Map Operator Tree: TableScan Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -588,7 +588,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/groupby_rollup_empty.q.out b/ql/src/test/results/clientpositive/groupby_rollup_empty.q.out index 7359140..fba030e 100644 --- a/ql/src/test/results/clientpositive/groupby_rollup_empty.q.out +++ b/ql/src/test/results/clientpositive/groupby_rollup_empty.q.out @@ -155,26 +155,26 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Group By Operator aggregations: sum(_col2) - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 0 Basic stats: PARTIAL Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 0 Basic stats: PARTIAL Column stats: NONE value expressions: _col3 (type: bigint) Execution mode: vectorized Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE Select Operator - expressions: _col3 (type: bigint), grouping(_col2, 0) (type: int), 'NULL,1' (type: string) + expressions: _col3 (type: bigint), grouping(_col2, 0) (type: bigint), 'NULL,1' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/groupingset_high_columns.q.out b/ql/src/test/results/clientpositive/groupingset_high_columns.q.out new file mode 100644 index 0000000..3bdf5de --- /dev/null +++ b/ql/src/test/results/clientpositive/groupingset_high_columns.q.out @@ -0,0 +1,1167 @@ +PREHOOK: query: create table facts (val string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@facts +POSTHOOK: query: create table facts (val string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@facts +PREHOOK: query: insert into facts values ('abcdefghijklmnopqrstuvwxyz0123456789') +PREHOOK: type: QUERY +PREHOOK: Output: default@facts +POSTHOOK: query: insert into facts values ('abcdefghijklmnopqrstuvwxyz0123456789') +POSTHOOK: type: QUERY +POSTHOOK: Output: default@facts +POSTHOOK: Lineage: facts.val SIMPLE [(values__tmp__table__1)values__tmp__table__1.FieldSchema(name:tmp_values_col1, type:string, comment:), ] +PREHOOK: query: drop table groupingsets32 +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets32 +POSTHOOK: type: DROPTABLE +PREHOOK: query: drop table groupingsets33 +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets33 +POSTHOOK: type: DROPTABLE +PREHOOK: query: drop table groupingsets32a +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets32a +POSTHOOK: type: DROPTABLE +PREHOOK: query: drop table groupingsets33a +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets33a +POSTHOOK: type: DROPTABLE +PREHOOK: query: create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets32 +POSTHOOK: query: create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets32 +POSTHOOK: Lineage: groupingsets32.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets32 +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets32 +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets32 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets32 +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +PREHOOK: query: create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets32a +POSTHOOK: query: create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets32a +POSTHOOK: Lineage: groupingsets32a._c34 EXPRESSION [] +POSTHOOK: Lineage: groupingsets32a.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.grouping__id SIMPLE [] +POSTHOOK: Lineage: groupingsets32a.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets32a +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets32a +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets32a +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets32a +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 1 4294967294 4294967294 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL 1 4294967293 4294967293 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL 1 4294967291 4294967291 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL 1 4294967287 4294967287 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL 1 4294967279 4294967279 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL 1 4294967263 4294967263 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL 1 4294967231 4294967231 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL 1 4294967167 4294967167 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL 1 4294967039 4294967039 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294966783 4294966783 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294966271 4294966271 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294965247 4294965247 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294963199 4294963199 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294959103 4294959103 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294950911 4294950911 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294934527 4294934527 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294901759 4294901759 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294836223 4294836223 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294705151 4294705151 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294443007 4294443007 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4293918719 4293918719 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4292870143 4292870143 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4290772991 4290772991 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4286578687 4286578687 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4278190079 4278190079 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4261412863 4261412863 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4227858431 4227858431 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4160749567 4160749567 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4026531839 4026531839 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 3758096383 3758096383 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 3221225471 3221225471 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 2147483647 2147483647 +PREHOOK: query: create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets33 +POSTHOOK: query: create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets33 +POSTHOOK: Lineage: groupingsets33.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c32 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets33 +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets33 +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets33 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets33 +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 6 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +PREHOOK: query: create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets33a +POSTHOOK: query: create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets33a +POSTHOOK: Lineage: groupingsets33a._c35 EXPRESSION [] +POSTHOOK: Lineage: groupingsets33a.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c32 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.grouping__id SIMPLE [] +POSTHOOK: Lineage: groupingsets33a.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets33a +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets33a +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets33a +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets33a +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 6 1 8589934590 8589934590 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 NULL 1 8589934589 8589934589 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL NULL 1 8589934587 8589934587 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL NULL 1 8589934583 8589934583 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL NULL 1 8589934575 8589934575 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL NULL 1 8589934559 8589934559 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL NULL 1 8589934527 8589934527 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL NULL 1 8589934463 8589934463 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL NULL 1 8589934335 8589934335 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589934079 8589934079 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589933567 8589933567 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589932543 8589932543 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589930495 8589930495 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589926399 8589926399 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589918207 8589918207 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589901823 8589901823 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589869055 8589869055 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589803519 8589803519 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589672447 8589672447 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8589410303 8589410303 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8588886015 8588886015 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8587837439 8587837439 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8585740287 8585740287 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8581545983 8581545983 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8573157375 8573157375 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8556380159 8556380159 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8522825727 8522825727 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8455716863 8455716863 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8321499135 8321499135 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8053063679 8053063679 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 7516192767 7516192767 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 6442450943 6442450943 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294967295 4294967295 +PREHOOK: query: drop table groupingsets32 +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@groupingsets32 +PREHOOK: Output: default@groupingsets32 +POSTHOOK: query: drop table groupingsets32 +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@groupingsets32 +POSTHOOK: Output: default@groupingsets32 +PREHOOK: query: drop table groupingsets33 +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@groupingsets33 +PREHOOK: Output: default@groupingsets33 +POSTHOOK: query: drop table groupingsets33 +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@groupingsets33 +POSTHOOK: Output: default@groupingsets33 +PREHOOK: query: drop table groupingsets32 +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets32 +POSTHOOK: type: DROPTABLE +PREHOOK: query: drop table groupingsets33 +PREHOOK: type: DROPTABLE +POSTHOOK: query: drop table groupingsets33 +POSTHOOK: type: DROPTABLE +PREHOOK: query: drop table groupingsets32a +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@groupingsets32a +PREHOOK: Output: default@groupingsets32a +POSTHOOK: query: drop table groupingsets32a +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@groupingsets32a +POSTHOOK: Output: default@groupingsets32a +PREHOOK: query: drop table groupingsets33a +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@groupingsets33a +PREHOOK: Output: default@groupingsets33a +POSTHOOK: query: drop table groupingsets33a +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@groupingsets33a +POSTHOOK: Output: default@groupingsets33a +PREHOOK: query: create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets32 +POSTHOOK: query: create table groupingsets32 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets32 +POSTHOOK: Lineage: groupingsets32.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets32 +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets32 +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets32 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets32 +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +PREHOOK: query: create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets32a +POSTHOOK: query: create table groupingsets32a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31, +count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets32a +POSTHOOK: Lineage: groupingsets32a._c34 EXPRESSION [] +POSTHOOK: Lineage: groupingsets32a.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets32a.grouping__id SIMPLE [] +POSTHOOK: Lineage: groupingsets32a.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets32a +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets32a +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets32a +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets32a +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 1 4294967294 4294967294 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL 1 4294967293 4294967293 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL 1 4294967291 4294967291 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL 1 4294967287 4294967287 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL 1 4294967279 4294967279 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL 1 4294967263 4294967263 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL 1 4294967231 4294967231 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL 1 4294967167 4294967167 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL 1 4294967039 4294967039 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294966783 4294966783 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294966271 4294966271 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294965247 4294965247 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294963199 4294963199 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294959103 4294959103 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294950911 4294950911 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294934527 4294934527 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294901759 4294901759 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294836223 4294836223 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294705151 4294705151 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294443007 4294443007 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4293918719 4293918719 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4292870143 4292870143 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4290772991 4290772991 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4286578687 4286578687 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4278190079 4278190079 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4261412863 4261412863 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4227858431 4227858431 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4160749567 4160749567 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4026531839 4026531839 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 3758096383 3758096383 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 3221225471 3221225471 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 2147483647 2147483647 +PREHOOK: query: create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets33 +POSTHOOK: query: create table groupingsets33 as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets33 +POSTHOOK: Lineage: groupingsets33.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.c32 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets33 +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets33 +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets33 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets33 +#### A masked pattern was here #### +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 6 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 5 NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 4 NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 3 NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 2 NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 0 NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL z NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL y NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL x NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL w NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL v NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL t NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL s NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL r NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 +PREHOOK: query: create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@facts +PREHOOK: Output: database:default +PREHOOK: Output: default@groupingsets33a +POSTHOOK: query: create table groupingsets33a as +select +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +,count(*) as n, +grouping__id, +grouping(c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32) +from ( +select +substring(val,01,1) as c00, substring(val,02,1) as c01, substring(val,03,1) as c02,substring(val,04,1) as c03,substring(val,05,1) as c04,substring(val,06,1) as c05,substring(val,07,1) as c06, substring(val,08,1) as c07,substring(val,09,1) as c08,substring(val,10,1) as c09, +substring(val,11,1) as c10, substring(val,12,1) as c11, substring(val,13,1) as c12,substring(val,14,1) as c13,substring(val,15,1) as c14,substring(val,16,1) as c15,substring(val,17,1) as c16, substring(val,18,1) as c17,substring(val,19,1) as c18,substring(val,20,1) as c19, +substring(val,21,1) as c20, substring(val,22,1) as c21, substring(val,23,1) as c22,substring(val,24,1) as c23,substring(val,25,1) as c24,substring(val,26,1) as c25,substring(val,27,1) as c26, substring(val,28,1) as c27,substring(val,29,1) as c28,substring(val,30,1) as c29, +substring(val,31,1) as c30,substring(val,32,1) as c31,substring(val,33,1) as c32 +from facts ) x +group by +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +grouping sets ( +c00,c01,c02,c03,c04,c05,c06,c07,c08,c09, +c10,c11,c12,c13,c14,c15,c16,c17,c18,c19, +c20,c21,c22,c23,c24,c25,c26,c27,c28,c29, +c30,c31,c32 +) +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@facts +POSTHOOK: Output: database:default +POSTHOOK: Output: default@groupingsets33a +POSTHOOK: Lineage: groupingsets33a._c35 EXPRESSION [] +POSTHOOK: Lineage: groupingsets33a.c00 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c01 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c02 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c03 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c04 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c05 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c06 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c07 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c08 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c09 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c10 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c11 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c12 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c13 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c14 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c15 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c16 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c17 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c18 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c19 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c20 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c21 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c22 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c23 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c24 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c25 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c26 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c27 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c28 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c29 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c30 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c31 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.c32 EXPRESSION [(facts)facts.FieldSchema(name:val, type:string, comment:null), ] +POSTHOOK: Lineage: groupingsets33a.grouping__id SIMPLE [] +POSTHOOK: Lineage: groupingsets33a.n EXPRESSION [(facts)facts.null, ] +PREHOOK: query: select * from groupingsets33a +PREHOOK: type: QUERY +PREHOOK: Input: default@groupingsets33a +#### A masked pattern was here #### +POSTHOOK: query: select * from groupingsets33a +POSTHOOK: type: QUERY +POSTHOOK: Input: default@groupingsets33a +#### A masked pattern 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NULL l NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8587837439 8587837439 +NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8585740287 8585740287 +NULL NULL NULL NULL NULL NULL NULL NULL NULL j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8581545983 8581545983 +NULL NULL NULL NULL NULL NULL NULL NULL i NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8573157375 8573157375 +NULL NULL NULL NULL NULL NULL NULL h NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8556380159 8556380159 +NULL NULL NULL NULL NULL NULL g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8522825727 8522825727 +NULL NULL NULL NULL NULL f NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8455716863 8455716863 +NULL NULL NULL NULL e NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8321499135 8321499135 +NULL NULL NULL d NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 8053063679 8053063679 +NULL NULL c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 7516192767 7516192767 +NULL b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 6442450943 6442450943 +a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1 4294967295 4294967295 diff --git a/ql/src/test/results/clientpositive/infer_bucket_sort_grouping_operators.q.out b/ql/src/test/results/clientpositive/infer_bucket_sort_grouping_operators.q.out index 5f1d264..7224938 100644 --- a/ql/src/test/results/clientpositive/infer_bucket_sort_grouping_operators.q.out +++ b/ql/src/test/results/clientpositive/infer_bucket_sort_grouping_operators.q.out @@ -39,20 +39,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), value (type: string), 0 (type: int) + keys: key (type: string), value (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE @@ -1518,20 +1518,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), value (type: string), 0 (type: int) + keys: key (type: string), value (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2000 Data size: 21248 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE @@ -1743,20 +1743,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), value (type: string), 0 (type: int) + keys: key (type: string), value (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1000 Data size: 10624 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/limit_pushdown2.q.out b/ql/src/test/results/clientpositive/limit_pushdown2.q.out index cdd221b..f4cff2b 100644 --- a/ql/src/test/results/clientpositive/limit_pushdown2.q.out +++ b/ql/src/test/results/clientpositive/limit_pushdown2.q.out @@ -937,20 +937,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE @@ -1026,20 +1026,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/cte_1.q.out b/ql/src/test/results/clientpositive/llap/cte_1.q.out index ddef9db..d7bc062 100644 --- a/ql/src/test/results/clientpositive/llap/cte_1.q.out +++ b/ql/src/test/results/clientpositive/llap/cte_1.q.out @@ -671,12236 +671,12236 @@ POSTHOOK: type: QUERY POSTHOOK: Input: default@alltypesorc #### A masked pattern was here #### NULL NULL 2735.0 -NULL 2x14G717LqcPA7Ic5 NULL -NULL 64Vxl8QS NULL -NULL Ul085f84S33Xd32u NULL -NULL b062i16kuwQerAvO5D2cBp3 NULL -NULL efnt3 NULL -NULL nlVvHbKNkU5I04XtkP6 NULL +NULL 3Ke6A1U847tV73 NULL +NULL 45ja5suO NULL +NULL 4fNIOF6ul NULL +NULL 62vmI4 NULL +NULL 84O1C65C5k88bI7i4 NULL +NULL AmPHc4NUg3HwJ NULL +NULL LR2AKy0dPt8vFdIV5760jriw NULL +NULL Oye1OEeN NULL +NULL THog3nx6pd1Bb NULL +NULL Xw6nBW1A205Rv7rE NULL +NULL Yssb82rdfylDv4K NULL +NULL a7GT5lui7rc NULL +NULL fVgv88OvQR1BB7toX NULL +NULL gC1t8pc NULL NULL p61uO61KDWhQ8b648ac2xyFO NULL -NULL r4jOncC4N6ov2LdxmkWAfJ7J NULL -NULL wa73jb5WDRp2le0wf NULL NULL y605nF0K3mMoM75j NULL +-1073279343 NULL NULL -1073279343 oj1YrV5Wa NULL -1073051226 NULL -7382.0 --1071480828 NULL NULL --1071363017 NULL NULL --1070551679 iUR3Q -947.0 +-1072081801 dPkN74F7 8373.0 +-1072076362 NULL -5470.0 +-1071363017 Anj0oF NULL +-1070883071 0ruyd6Y50JpdGRf6HqD -741.0 +-1070551679 NULL -947.0 -1069109166 vW36C22KS75R 8390.0 --1069097390 B553840U1H2b1M06l6N81 NULL +-1069103950 NULL NULL -1068336533 PUn1YVC NULL --1068206466 NULL NULL --1068206466 F3u1yJaQywofxCCM4v4jScY NULL --1067874703 us1gH35lcpND NULL +-1067874703 NULL NULL -1067683781 IbgbUvP5 NULL --1065775394 NULL NULL --1065117869 jWVP6gOkq12mdh 2538.0 --1064949302 8u8tR858jC01y8Ft66nYRnb6 6454.0 --1064623720 NULL NULL --1061057428 NULL -1085.0 --1060990068 NULL NULL +-1067386090 HBtg2r6pR16VC73 -3977.0 +-1066922682 NULL -9987.0 +-1063745167 NULL NULL +-1063745167 L47nqo NULL +-1063164541 1NydRD5y5o3 NULL +-1062973443 144eST755Fvf6nLi74SK 10541.0 +-1061614989 61Oa7M7Pl17d7auyXra6 -4234.0 +-1061509617 NULL NULL +-1060624784 NULL NULL -1060624784 Das7E73 NULL --1059047258 e2B6K7FJH77Y4i7h6B43U 12452.0 --1055669248 U7r33N1GT 2570.0 +-1058897881 NULL NULL +-1056684111 NULL 13991.0 +-1056684111 7K7y062ndg5aRSBsx 13991.0 +-1055945837 Qc722Gg4280 13690.0 +-1055669248 NULL 2570.0 -1055185482 l20vn2Awc NULL --1055076545 NULL NULL --1055076545 5l4yXhHX0Y1jgmw4 NULL --1055040773 1t2c87D721uxcFhn2 NULL -1054958082 im6VJRHh5EGfS7FVhw 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4fgGH1hKp6j210ju47F4 -8881.0 932739696 NULL 10105.0 +932739696 c4pp20 10105.0 +934047572 NULL NULL +934047572 KnmtSR55J731b NULL 934140609 NULL -13746.0 -934146168 NULL 2140.0 934538874 NULL NULL -934724198 316qk10jD0dkAh78 4257.0 -934968496 NULL NULL -935000308 NULL -4916.0 -935626722 NULL 7097.0 +934968496 16L335OgyOKH4565 NULL 936677819 NULL -12165.0 -936677819 QN3Ru4uhSNA62bgc4HI35 -12165.0 -937708377 DglR0T NULL -941203089 NULL 12983.0 +936765787 NULL -10311.0 +937708377 NULL NULL +937869310 2taQsaEJVXuJ NULL +938731956 NULL NULL +938731956 XOypj8 NULL +939360526 NULL NULL +939426455 0N4fmSaB0op1780h 15167.0 +943671852 NULL 14746.0 943672710 73m0kME31orwbJhm4 NULL -945156074 NULL 2453.0 -945311214 NULL NULL -949454484 NULL -9174.0 +944056426 NULL 14863.0 +945092591 NULL NULL +945092591 8R6D2RO65Eml57fKYNV667j0 NULL +945157096 32OjMMVB54jv35 NULL +947790811 NULL NULL +948284224 NULL NULL +948284224 B78T0SnxlCe5AQ522GBUf6c6 NULL +950207876 0MGeqBDWUco 7620.0 951086498 NULL NULL -951865219 NULL 14671.0 -953609117 34P6jvO10s66T30S NULL -954708962 NULL NULL +951207931 GY0R5v7a8x43DO5 NULL +951547766 2v5Ux NULL +953684900 NULL 9725.0 +955691407 fv6s5tGQJO45BvV4m8C -329.0 956451963 NULL 10719.0 -956505958 NULL NULL +956451963 43Uw5KU1 10719.0 +956483996 NULL 13193.0 +956483996 6n66eyH75yp56c2PdxQ 13193.0 +956505958 3Qm5PpAGbhf8NkWHJPv NULL +957685830 245ELjN84 -8098.0 957736200 NULL NULL -957772264 kwa5Mim3psM NULL -958717645 NULL -7098.0 +957736200 4eFGE3dwF5 NULL +958677972 5u0iXh2Y84QgUXkfi726oF0E NULL 958717645 D3aT0bC8 -7098.0 -959694997 NULL 9652.0 -959694997 5Lak148nw7OyU7Q 9652.0 -961241164 NULL NULL -961718078 gOYmowua857xqiBSnM0 NULL -961854352 NULL -2281.0 -961854352 270E55oU861Csr73n -2281.0 -961898174 NULL NULL -961926361 T56Yg20W -9313.0 -963222149 6M744VRsSH88eIrG3i NULL -963760599 m8C11PImKtamThR0fqFIg 4631.0 -964394143 nJl6242B6arixd4RTTp6wG3 NULL +958825765 sq31ri5lya5Spm NULL +960245223 NULL NULL +963352239 QP4koLS5P7NSwq5Ja8480606 -6364.0 +964149123 pyOqLGfATf NULL 964412769 i80O3j8a8nd0ohVCHE2oVs NULL +964987336 T66vQ50YfGj -9190.0 +965353103 Iny0u NULL 965943756 NULL NULL 966799083 NULL NULL -966799083 bvg7bP3mln3ILuC888M5DEF NULL -967878640 NULL NULL +969275692 NULL NULL +970906713 NULL NULL 970906713 cJnFkUL5gOyHR67G1 NULL -970998450 NULL NULL +970998450 aALrx8bSr75vWBR30H65X24X NULL 971010963 522FH212n -11376.0 971158432 x7YBL3aB4hG0uS -59.0 -971389666 NULL NULL -972066842 NULL NULL -972222030 p575lXH8K2IMIQ4qjma87 NULL -972493883 NULL NULL -974513653 NULL NULL -974513653 I1be6JuP8HeaA8UI8c NULL +972493883 Qq3MD84DHC14CDiEGB7p04DO NULL +974783681 NULL NULL +974783681 YPJn4lAy8rr58 NULL 974915399 NULL NULL -976475293 NULL NULL -976475293 6Pkr6mt6rI3Cno71h1EPb NULL +976828874 05B0hwk3h12Vv5nOO07WfR -1136.0 +976958085 NULL -10528.0 977129683 NULL -3465.0 +977129683 8FkV3 -3465.0 +977576682 NULL -4449.0 +977576682 MQ1rdDUFVb2Ek -4449.0 +977700123 NULL NULL 977700123 Q22Upqia NULL -977935496 NULL NULL -977935496 0y7AJ4Mgm5KvSXXPh2802 NULL -978970454 NULL NULL +977961538 NULL NULL +980638440 NULL -925.0 +981037960 N4c8u78LI12Qjau NULL +983234564 jctXbMJ5l4ypSx0SMGFSQtF NULL +984433895 NULL -10805.0 985500432 NULL -12888.0 -985500432 47x5248dXuiqta -12888.0 985529169 NULL NULL -987077284 hpB4Tn5E7507P -5517.0 -987137809 l01UYMiq51W8G4LJtEp86mD7 NULL -987157401 NULL 3580.0 -987445416 hs5N5IQsM6SM 1136.0 -987635643 NULL 15250.0 -988662566 r7JrMe NULL -988671805 NULL NULL -990406514 NULL NULL +985529169 gY5CjIAG71Fh NULL +987077284 NULL -5517.0 +988662566 NULL NULL +988671805 C32YIF3mQaXSTkCV8D2u7L7 NULL 990406514 Ako362FErCK8F2v31h3Ns260 NULL -991721295 R65wU -13060.0 -993732116 ie5lYXc8JAh00p0yd15xb 3679.0 -994611309 NULL NULL -994611309 6eeRVS85xD2q6Q8356 NULL -994759465 NULL NULL -994759465 u8aUOdI0tuGW6xmxsKM18l NULL -996156813 NULL 4149.0 +993788576 NULL 14771.0 +995923496 NULL NULL 996943089 NULL NULL +996943089 2QYq8Y NULL 997584378 C3rew41 NULL -998852320 rio3Ll087p -13430.0 -999026538 xL7AcG 2376.0 -999159104 NULL NULL -1000282455 bFvG3S5iJh0B1vsBsiV42Pbb -12684.0 +999367967 F4FgvW2v NULL 1000346652 8E6m0haq3625pJ32EE NULL -1000799787 NULL -13668.0 -1000909507 lo8y7 NULL -1002410892 NULL 14177.0 +1000549600 B7P12uoI NULL +1000909507 NULL NULL +1001683335 NULL NULL +1002629145 NULL NULL 1002990671 NULL -9163.0 -1003037288 6DH2dA4 NULL -1003418352 NULL 10191.0 -1003824305 E1iWm444b NULL -1005761306 jB2kAo4v NULL +1004914511 NULL 2943.0 +1005836223 407CiWn5Sd0J4mlgB0X8Fu5G NULL 1007042986 5M5i18Ol0T6u 14375.0 -1007098149 NULL NULL -1007424802 D6UtO8l3 NULL +1007797446 MCL83EIwhTq5L3clV2S1c8Q NULL 1009127764 NULL 8252.0 +1009598106 NULL NULL 1009606435 NULL NULL -1009996225 b0r8g21X6I2TvvPj623IKR NULL -1010217011 NULL NULL -1010280957 4W6pl6oLfgN0ax NULL -1010984682 NULL NULL -1013270247 NULL NULL -1014334269 NULL NULL +1009606435 5Q5UxO88 NULL +1010984682 i1u8rB8WdUF8ROFmHnrs NULL +1012150582 NULL NULL +1014198108 NULL -4585.0 +1014198108 kushHKMOdU4 -4585.0 1015410828 NULL NULL -1016213220 NULL NULL 1016213220 yg503l0kDvb NULL -1018070190 CmX7o -1343.0 -1019979950 NULL 9397.0 -1019979950 211K713b0vBiUWYr 9397.0 -1020320499 NULL -3435.0 -1021047159 NULL 9983.0 -1021047159 Ic1W4QSJrJ18s0jnHx1N35 9983.0 -1022145707 F6Gfb3iU850A NULL -1023508977 Eohh21 11674.0 -1024246841 NULL -14431.0 -1024246841 REktKOM0feNR1k -14431.0 +1017291091 NULL -15768.0 +1020320499 Et733lj33Gg5S0ET3 -3435.0 +1021025792 21l7ppi3Q73w7DMg75H1e -447.0 +1022145707 NULL NULL +1023508977 NULL 11674.0 1025576880 5nA54 NULL -1025894690 6K4d0il -4600.0 -1026014842 NULL NULL -1026429497 NULL 14694.0 -1027484451 NULL 8919.0 -1028098596 NULL 10114.0 +1026069615 ve4Pgoehe6vhmYVLpP NULL +1026429497 FxEvW 14694.0 +1028322902 NULL NULL +1028322902 NULL NULL 1028545258 NULL 15847.0 -1028545258 525Nle4MDKGH75d 15847.0 -1029425893 lH3c764 102.0 -1029768880 NULL 6581.0 +1029875085 vX63po7o5pg5pFy8x3B48 9031.0 1029967177 XI5Jwr7nd 4704.0 -1030721509 KJBwt NULL -1031075675 NULL -10653.0 -1031192899 NULL NULL -1031342073 0eL7WBS304SQ6PAp853 -10847.0 +1030560824 tmS75um6Mvyb6N1oiKP7 -11073.0 +1031075675 2mwT8k -10653.0 1031799898 NULL NULL 1031799898 Nxd2HCv NULL -1033849965 iKF22p74hKMcl6gypC8nqq NULL -1034281545 n6LeJk NULL -1035754116 NULL NULL +1032063253 NULL NULL +1032063253 QY2hg47yl0v NULL +1035754116 3ConB NULL 1036225413 NULL NULL -1036287996 ro38o4NlNPb6wM2O00 -6638.0 -1036543570 G2P1ogIIyMgo6j2a27egS NULL -1037148389 NULL 8760.0 -1037585935 NULL NULL +1036287996 NULL -6638.0 +1037148389 WjHDUL4OQP6G 8760.0 1037751768 NULL NULL -1037993875 NULL 680.0 -1037993875 23I1IWV72hJD8Pd7FGk8lS 680.0 -1038055112 NULL NULL 1038055112 k6O2upxYCjQ1n NULL -1038486054 NULL -14569.0 -1039781143 NULL NULL -1039906023 NULL NULL -1039985152 7x1m6Q06VGAwOm34m NULL +1039322461 NULL NULL +1039371267 NULL -3423.0 +1039668888 NULL 6693.0 +1039985152 NULL NULL +1040237303 NULL 105.0 1040237303 EwBPJgY4JDm 105.0 -1041349357 NULL -8172.0 -1041902688 sb0E3X -8360.0 -1042182346 NULL -4790.0 -1042374917 cSGwrp02p NULL -1043258518 pL1580vvAty5r14o4OOo6 NULL -1046708268 NULL 11926.0 -1048069489 NULL NULL +1040241321 NULL -7333.0 +1040916490 NULL NULL +1041902688 NULL -8360.0 +1042182346 K7ra5 -4790.0 +1043803320 NULL 13510.0 +1043803320 KXT886hLF65QtuNe5MM36A 13510.0 +1044740607 H8P4VX62803V 8752.0 +1045773166 NULL 640.0 +1046701446 NULL 8713.0 1048069489 bopk3aa NULL -1050317598 NULL -9861.0 -1050380464 R61IdER 1321.0 -1050751743 NULL -6789.0 -1053092996 NULL -548.0 -1057524377 NULL 7246.0 -1057853854 42rU7 -1638.0 -1058182261 NULL NULL -1058319346 NULL NULL +1049412661 h86fWF 3679.0 +1050051956 2p7ND20blG8t2cy1VRh16 NULL +1050514999 NULL NULL +1051231109 NULL 668.0 +1051473111 Myso8FwW4ov0AQ -8163.0 +1053412430 5keIL 8903.0 +1055783695 NULL 6504.0 +1056305955 EN21f1 NULL +1056600768 73JSh62cDpvx33obP7c 11772.0 +1058182261 r3See3oscOt3uwN NULL 1058319346 10 NULL -1058767964 NULL NULL -1059330121 NULL -6839.0 -1060518793 bP3R4cDVvx6t NULL -1060587179 NULL NULL -1061726676 13Dmcbvc0 11177.0 -1062509670 VF8w7AjS6 NULL -1062530283 1BQ22Cx70452I4mV1 10259.0 -1063819721 0p3nIvm1c20J2e 2066.0 -1063852507 NULL 6863.0 -1063852507 OsgSff3KLTaXQ21Sh3rKJ1 6863.0 -1063867378 oC2tj4g4fu6El3f0IIEHCL0V 5544.0 +1058767964 71027fBh8760gbL7aF4K NULL +1059574767 NULL 8745.0 +1060832907 NULL -4633.0 +1060832907 YkfDreGs8Xi -4633.0 +1063819721 NULL 2066.0 1064926205 NULL 9828.0 -1065129879 NULL NULL -1069473022 NULL -9255.0 +1067063031 NULL NULL +1067398768 TDC44S74UJWtQ2b3l7tQXq 6123.0 1069473022 88XSe1n -9255.0 -1069549597 J637uL7i0V6x NULL -1069655481 NULL -12179.0 -1069713344 NULL 394.0 +1069655481 rhqUT3n3jg8ufR6 -12179.0 +1069713344 EGLa1s85 394.0 +1070065149 NULL -12883.0 +1070065149 jjc503pMQskjqb8T3tCL0 -12883.0 1070087091 223qftA0b 15017.0 1070533311 NULL NULL -1070764888 NULL NULL -1070782249 NULL -16225.0 +1070533311 CdOTWH8E2E3POA1pghh NULL 1072654057 NULL NULL -1072872630 5ON517IeD8XDLAhh 6828.0 +1072654057 rs1jgr3QXsF803w3Eu NULL 1073418988 NULL -11535.0 PREHOOK: query: with q1 as (select * from alltypesorc) from q1 @@ -12917,12236 +12917,12236 @@ POSTHOOK: type: QUERY POSTHOOK: Input: default@alltypesorc #### A masked pattern was here #### NULL NULL 2735.0 -NULL 2x14G717LqcPA7Ic5 NULL -NULL 64Vxl8QS NULL -NULL Ul085f84S33Xd32u NULL -NULL b062i16kuwQerAvO5D2cBp3 NULL -NULL efnt3 NULL -NULL nlVvHbKNkU5I04XtkP6 NULL +NULL 3Ke6A1U847tV73 NULL +NULL 45ja5suO NULL +NULL 4fNIOF6ul NULL +NULL 62vmI4 NULL +NULL 84O1C65C5k88bI7i4 NULL +NULL AmPHc4NUg3HwJ NULL +NULL LR2AKy0dPt8vFdIV5760jriw NULL +NULL Oye1OEeN NULL +NULL THog3nx6pd1Bb NULL +NULL Xw6nBW1A205Rv7rE NULL +NULL Yssb82rdfylDv4K NULL +NULL a7GT5lui7rc NULL +NULL fVgv88OvQR1BB7toX NULL +NULL gC1t8pc NULL NULL p61uO61KDWhQ8b648ac2xyFO NULL -NULL r4jOncC4N6ov2LdxmkWAfJ7J NULL -NULL wa73jb5WDRp2le0wf NULL NULL y605nF0K3mMoM75j NULL +-1073279343 NULL NULL -1073279343 oj1YrV5Wa NULL -1073051226 NULL -7382.0 --1071480828 NULL NULL --1071363017 NULL NULL --1070551679 iUR3Q -947.0 +-1072081801 dPkN74F7 8373.0 +-1072076362 NULL -5470.0 +-1071363017 Anj0oF NULL +-1070883071 0ruyd6Y50JpdGRf6HqD -741.0 +-1070551679 NULL -947.0 -1069109166 vW36C22KS75R 8390.0 --1069097390 B553840U1H2b1M06l6N81 NULL +-1069103950 NULL NULL -1068336533 PUn1YVC NULL --1068206466 NULL NULL --1068206466 F3u1yJaQywofxCCM4v4jScY NULL --1067874703 us1gH35lcpND NULL +-1067874703 NULL NULL -1067683781 IbgbUvP5 NULL --1065775394 NULL NULL --1065117869 jWVP6gOkq12mdh 2538.0 --1064949302 8u8tR858jC01y8Ft66nYRnb6 6454.0 --1064623720 NULL NULL --1061057428 NULL -1085.0 --1060990068 NULL NULL +-1067386090 HBtg2r6pR16VC73 -3977.0 +-1066922682 NULL -9987.0 +-1063745167 NULL NULL +-1063745167 L47nqo NULL +-1063164541 1NydRD5y5o3 NULL +-1062973443 144eST755Fvf6nLi74SK 10541.0 +-1061614989 61Oa7M7Pl17d7auyXra6 -4234.0 +-1061509617 NULL NULL +-1060624784 NULL NULL -1060624784 Das7E73 NULL --1059047258 e2B6K7FJH77Y4i7h6B43U 12452.0 --1055669248 U7r33N1GT 2570.0 +-1058897881 NULL NULL +-1056684111 NULL 13991.0 +-1056684111 7K7y062ndg5aRSBsx 13991.0 +-1055945837 Qc722Gg4280 13690.0 +-1055669248 NULL 2570.0 -1055185482 l20vn2Awc NULL --1055076545 NULL NULL --1055076545 5l4yXhHX0Y1jgmw4 NULL --1055040773 1t2c87D721uxcFhn2 NULL -1054958082 im6VJRHh5EGfS7FVhw NULL -1054849160 NULL NULL --1053385587 NULL 14504.0 --1051223597 7i7FJDchQc1 NULL --1050165799 hA4lNb 8634.0 --1049984461 qUY8Rl34NWRg NULL --1048097158 NULL NULL +-1053238077 NULL -3704.0 +-1052322972 C60KTh -7433.0 +-1051223597 NULL NULL +-1050388484 B26L6Qp134xe0wy0Si NULL +-1048934049 NULL -524.0 +-1046913669 NULL NULL -1046766350 s4LPR6Bg0j25SWD8 NULL -1046399794 NULL 4130.0 --1045867222 gdoaNjlr4H8gbNV -8034.0 --1045737053 NULL NULL --1045196363 35lk428d1BN8Qp1M27 -5039.0 --1045181724 NULL -5706.0 +-1045737053 FGQf6n21ES NULL -1044828205 Ej05nrdc8CVXYu1Axy6W NULL +-1044748460 NULL NULL -1044357977 NULL NULL --1044357977 nqThW83 NULL --1044093617 NULL -3422.0 --1044093617 0Dlv8g24a1Q43 -3422.0 --1043132597 yVj2368XQ64rY25N8jCGSeW 12302.0 +-1043573508 NULL 16216.0 -1043082182 NULL 9180.0 --1042805968 NULL 5133.0 --1042805968 QUnIT4yAVU 5133.0 --1042396242 NULL 9583.0 --1041734429 NULL -836.0 --1041391389 NULL -12970.0 --1041391389 IL6Ct0hm2 -12970.0 --1041353707 25Qky6lf2pt5FP47Mqmb NULL --1039762548 ki4pfORasIn14cM2G -3802.0 --1039715238 NULL NULL --1039495786 NULL NULL --1037297218 NULL 10880.0 --1037297218 lXhthv3GoliXESKJV703 10880.0 --1037188286 NULL 5144.0 --1036025370 8dDe31b5 NULL --1035148422 NULL 7228.0 --1035148422 3GU0iMHI286JAUnA0f 7228.0 --1033919841 NULL NULL --1031797254 sKEJ8vy8kHWK7D -326.0 --1031594611 NULL NULL --1031594611 dFE1VTv3P5WDi20YecUuv7 NULL --1030993426 76VqjvX6hmnmvmDWOa8wi8 NULL --1030634297 2060qh1mQdiLrqGg0Jc5K 15011.0 +-1042712895 iD2KrmBUbvNjuhHR2r 9296.0 +-1042396242 3E1ynn7EtEFXaiQ772b86gVL 9583.0 +-1039776293 NULL 13704.0 +-1039637549 KH8n8pUDpPj0hPA6 NULL +-1039514580 NULL NULL +-1039355325 r17jGvc7gR NULL +-1039292315 07488p5vb4d2 NULL +-1038649744 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PREHOOK: query: drop table if exists cte9_t1 PREHOOK: type: DROPTABLE diff --git a/ql/src/test/results/clientpositive/llap/groupby_rollup_empty.q.out b/ql/src/test/results/clientpositive/llap/groupby_rollup_empty.q.out index d2b5745..a86ff7f 100644 --- a/ql/src/test/results/clientpositive/llap/groupby_rollup_empty.q.out +++ b/ql/src/test/results/clientpositive/llap/groupby_rollup_empty.q.out @@ -161,14 +161,14 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2) - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 36 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 36 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Execution mode: vectorized, llap @@ -178,12 +178,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col3 (type: bigint), grouping(_col2, 0) (type: int), 'NULL,1' (type: string) + expressions: _col3 (type: bigint), grouping(_col2, 0) (type: bigint), 'NULL,1' (type: string) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/llap/llap_acid.q.out b/ql/src/test/results/clientpositive/llap/llap_acid.q.out index 38889b9..4ed45e7 100644 --- a/ql/src/test/results/clientpositive/llap/llap_acid.q.out +++ b/ql/src/test/results/clientpositive/llap/llap_acid.q.out @@ -174,23 +174,25 @@ POSTHOOK: Input: default@orc_llap@csmallint=1 POSTHOOK: Input: default@orc_llap@csmallint=2 POSTHOOK: Input: default@orc_llap@csmallint=3 #### A masked pattern was here #### --285355633 1 -1241163445 --109813638 1 -58941842 -164554497 1 1161977292 -199879534 1 123351087 +-838810013 1 1864027286 +-595277064 1 -1645852809 +-334595454 1 -1645852809 +185212032 1 -1645852809 +186967185 1 -1645852809 +241008004 1 -1645852809 246423894 1 -1645852809 -354670578 1 562841852 -455419170 1 1108177470 -665801232 1 480783141 +518213127 1 -1645852809 +584923170 1 -1645852809 708885482 1 -1645852809 --285355633 2 -1241163445 --109813638 2 -58941842 -164554497 2 1161977292 -199879534 2 123351087 +-838810013 2 1864027286 +-595277064 2 -1645852809 +-334595454 2 -1645852809 +185212032 2 -1645852809 +186967185 2 -1645852809 +241008004 2 -1645852809 246423894 2 -1645852809 -354670578 2 562841852 -455419170 2 1108177470 -665801232 2 480783141 +518213127 2 -1645852809 +584923170 2 -1645852809 708885482 2 -1645852809 -923308739 3 -1887561756 -3728 3 -1887561756 @@ -424,24 +426,26 @@ POSTHOOK: Input: default@orc_llap@csmallint=1 POSTHOOK: Input: default@orc_llap@csmallint=2 POSTHOOK: Input: default@orc_llap@csmallint=3 #### A masked pattern was here #### --285355633 1 -1241163445 --109813638 1 -58941842 +-838810013 1 1864027286 +-595277064 1 -1645852809 +-334595454 1 -1645852809 1 1 2 -164554497 1 1161977292 -199879534 1 123351087 +185212032 1 -1645852809 +186967185 1 -1645852809 +241008004 1 -1645852809 246423894 1 -1645852809 -354670578 1 562841852 -455419170 1 1108177470 -665801232 1 480783141 +518213127 1 -1645852809 +584923170 1 -1645852809 708885482 1 -1645852809 --285355633 2 -1241163445 --109813638 2 -58941842 -164554497 2 1161977292 -199879534 2 123351087 +-838810013 2 1864027286 +-595277064 2 -1645852809 +-334595454 2 -1645852809 +185212032 2 -1645852809 +186967185 2 -1645852809 +241008004 2 -1645852809 246423894 2 -1645852809 -354670578 2 562841852 -455419170 2 1108177470 -665801232 2 480783141 +518213127 2 -1645852809 +584923170 2 -1645852809 708885482 2 -1645852809 -923308739 3 -1887561756 -3728 3 -1887561756 diff --git a/ql/src/test/results/clientpositive/llap/llap_acid_fast.q.out b/ql/src/test/results/clientpositive/llap/llap_acid_fast.q.out index 4a7297d..42af8e6 100644 --- a/ql/src/test/results/clientpositive/llap/llap_acid_fast.q.out +++ b/ql/src/test/results/clientpositive/llap/llap_acid_fast.q.out @@ -168,23 +168,25 @@ POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=1 POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=2 POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=3 #### A masked pattern was here #### --285355633 1 -1241163445 --109813638 1 -58941842 -164554497 1 1161977292 -199879534 1 123351087 +-838810013 1 1864027286 +-595277064 1 -1645852809 +-334595454 1 -1645852809 +185212032 1 -1645852809 +186967185 1 -1645852809 +241008004 1 -1645852809 246423894 1 -1645852809 -354670578 1 562841852 -455419170 1 1108177470 -665801232 1 480783141 +518213127 1 -1645852809 +584923170 1 -1645852809 708885482 1 -1645852809 --285355633 2 -1241163445 --109813638 2 -58941842 -164554497 2 1161977292 -199879534 2 123351087 +-838810013 2 1864027286 +-595277064 2 -1645852809 +-334595454 2 -1645852809 +185212032 2 -1645852809 +186967185 2 -1645852809 +241008004 2 -1645852809 246423894 2 -1645852809 -354670578 2 562841852 -455419170 2 1108177470 -665801232 2 480783141 +518213127 2 -1645852809 +584923170 2 -1645852809 708885482 2 -1645852809 -923308739 3 -1887561756 -3728 3 -1887561756 @@ -418,24 +420,26 @@ POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=1 POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=2 POSTHOOK: Input: default@orc_llap_acid_fast@csmallint=3 #### A masked pattern was here #### --285355633 1 -1241163445 --109813638 1 -58941842 +-838810013 1 1864027286 +-595277064 1 -1645852809 +-334595454 1 -1645852809 1 1 2 -164554497 1 1161977292 -199879534 1 123351087 +185212032 1 -1645852809 +186967185 1 -1645852809 +241008004 1 -1645852809 246423894 1 -1645852809 -354670578 1 562841852 -455419170 1 1108177470 -665801232 1 480783141 +518213127 1 -1645852809 +584923170 1 -1645852809 708885482 1 -1645852809 --285355633 2 -1241163445 --109813638 2 -58941842 -164554497 2 1161977292 -199879534 2 123351087 +-838810013 2 1864027286 +-595277064 2 -1645852809 +-334595454 2 -1645852809 +185212032 2 -1645852809 +186967185 2 -1645852809 +241008004 2 -1645852809 246423894 2 -1645852809 -354670578 2 562841852 -455419170 2 1108177470 -665801232 2 480783141 +518213127 2 -1645852809 +584923170 2 -1645852809 708885482 2 -1645852809 -923308739 3 -1887561756 -3728 3 -1887561756 diff --git a/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out b/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out index 1f17f96..66bf74f 100644 --- a/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out +++ b/ql/src/test/results/clientpositive/llap/multi_count_distinct_null.q.out @@ -48,29 +48,29 @@ STAGE PLANS: outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 1023 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 18 Data size: 1556 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 18 Data size: 1628 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), _col3 (type: int) + key expressions: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), _col3 (type: int) - Statistics: Num rows: 18 Data size: 1556 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: int), _col1 (type: varchar(10)), _col2 (type: int), _col3 (type: bigint) + Statistics: Num rows: 18 Data size: 1628 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: llap LLAP IO: no inputs Reducer 2 Execution mode: llap Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: int), KEY._col1 (type: varchar(10)), KEY._col2 (type: int), KEY._col3 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: varchar(10)), KEY._col2 (type: int), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 18 Data size: 1556 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 18 Data size: 1628 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: CASE WHEN (((_col3 = 3) and _col0 is not null)) THEN (1) ELSE (null) END (type: int), CASE WHEN (((_col3 = 5) and _col1 is not null)) THEN (1) ELSE (null) END (type: int), CASE WHEN (((_col3 = 6) and _col2 is not null)) THEN (1) ELSE (null) END (type: int) outputColumnNames: _col0, _col1, _col2 - Statistics: Num rows: 18 Data size: 1556 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 18 Data size: 1628 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator aggregations: count(_col0), count(_col1), count(_col2) mode: hash @@ -189,29 +189,29 @@ STAGE PLANS: outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 1023 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator - keys: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), 0 (type: int) + keys: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 30 Data size: 2534 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 30 Data size: 2654 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), _col3 (type: int) + key expressions: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), _col3 (type: int) - Statistics: Num rows: 30 Data size: 2534 Basic stats: COMPLETE Column stats: COMPLETE + Map-reduce partition columns: _col0 (type: varchar(10)), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + Statistics: Num rows: 30 Data size: 2654 Basic stats: COMPLETE Column stats: COMPLETE Execution mode: llap LLAP IO: no inputs Reducer 2 Execution mode: llap Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: varchar(10)), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int) + keys: KEY._col0 (type: varchar(10)), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 30 Data size: 2534 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 30 Data size: 2654 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: CASE WHEN (((_col3 = 3) and _col0 is not null)) THEN (1) ELSE (null) END (type: int), CASE WHEN (((_col3 = 5) and _col1 is not null)) THEN (1) ELSE (null) END (type: int), CASE WHEN (((_col3 = 6) and _col2 is not null)) THEN (1) ELSE (null) END (type: int), CASE WHEN ((_col3 = 4)) THEN (1) ELSE (null) END (type: int), CASE WHEN ((_col3 = 0)) THEN (1) ELSE (null) END (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 - Statistics: Num rows: 30 Data size: 2534 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 30 Data size: 2654 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator aggregations: count(_col0), count(_col1), count(_col2), count(_col3), count(_col4) mode: hash @@ -291,24 +291,24 @@ group by department_id, gender, education_level grouping sets POSTHOOK: type: QUERY POSTHOOK: Input: default@employee POSTHOOK: Output: hdfs://### HDFS PATH ### +5 NULL NULL NULL +2 NULL NULL 1 +2 1 NULL 1 +2 1 NULL 3 +3 4 NULL NULL +2 4 NULL 1 +3 NULL NULL NULL 6 NULL NULL NULL 6 NULL NULL 2 5 NULL F NULL +3 1 NULL NULL 2 2 NULL 3 -2 NULL NULL NULL -2 NULL NULL 1 -2 1 NULL 3 +6 NULL NULL 3 3 2 NULL NULL 2 2 NULL 1 -3 3 NULL NULL -2 3 NULL 2 -3 NULL NULL NULL -5 NULL NULL NULL +2 NULL NULL NULL +6 NULL NULL 1 5 NULL M NULL -2 1 NULL 1 2 1 NULL 2 -2 4 NULL 1 -6 NULL NULL 1 -6 NULL NULL 3 -3 1 NULL NULL -3 4 NULL NULL +3 3 NULL NULL +2 3 NULL 2 diff --git a/ql/src/test/results/clientpositive/llap/sysdb.q.out b/ql/src/test/results/clientpositive/llap/sysdb.q.out index 5ed427f..0b705f9 100644 --- a/ql/src/test/results/clientpositive/llap/sysdb.q.out +++ b/ql/src/test/results/clientpositive/llap/sysdb.q.out @@ -3607,10 +3607,10 @@ POSTHOOK: Input: sys@table_params POSTHOOK: Input: sys@table_stats_view #### A masked pattern was here #### {"BASIC_STATS":"true","COLUMN_STATS":{"key":"true","value":"true"}} 0 0 0 0 -{"BASIC_STATS":"true","COLUMN_STATS":{"entity_name":"true","entity_type":"true","ordering":"true","pool_path":"true","rp_name":"true"}} 0 0 0 0 -{"BASIC_STATS":"true","COLUMN_STATS":{"next_val":"true","sequence_name":"true"}} 0 0 0 0 -{"BASIC_STATS":"true","COLUMN_STATS":{"key":"true","value":"true"}} 0 0 0 0 -#### A masked pattern was here #### +{"BASIC_STATS":"true","COLUMN_STATS":{"pool_path":"true","rp_name":"true","trigger_name":"true"}} 0 0 0 0 +{"BASIC_STATS":"true","COLUMN_STATS":{"param_key":"true","param_value":"true","serde_id":"true"}} 0 0 0 0 +{"BASIC_STATS":"true","COLUMN_STATS":{"bucket_col_name":"true","integer_idx":"true","sd_id":"true"}} 0 0 0 0 +{"BASIC_STATS":"true","COLUMN_STATS":{"cd_id":"true"}} 0 0 0 0 PREHOOK: query: select COLUMN_STATS_ACCURATE, NUM_FILES, NUM_ROWS, RAW_DATA_SIZE, TOTAL_SIZE FROM PARTITION_STATS_VIEW where COLUMN_STATS_ACCURATE is not null order by NUM_FILES, NUM_ROWS, RAW_DATA_SIZE limit 5 PREHOOK: type: QUERY PREHOOK: Input: sys@partition_params @@ -3870,13 +3870,13 @@ default default alltypesorc ctimestamp1 8 NULL YES timestamp NULL NULL NULL NULL default default alltypesorc ctimestamp2 9 NULL YES timestamp NULL NULL NULL NULL NULL 9 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 11 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES timestamp NULL NULL default default alltypesorc cboolean1 10 NULL YES boolean NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 11 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES boolean NULL NULL default default alltypesorc cboolean2 11 NULL YES boolean NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 11 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES boolean NULL NULL -default default moretypes a 0 NULL YES decimal(10,2) NULL NULL 10 10 2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES decimal(10,2) 10 10 -default default moretypes b 1 NULL YES tinyint NULL NULL 3 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES tinyint 3 10 -default default moretypes c 2 NULL YES smallint NULL NULL 5 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES smallint 5 10 -default default moretypes d 3 NULL YES int NULL NULL 10 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES int 10 10 -default default moretypes e 4 NULL YES bigint NULL NULL 19 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES bigint 19 10 -default default moretypes f 5 NULL YES varchar(10) 10 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES varchar(10) NULL NULL -default default moretypes g 6 NULL YES char(3) 3 3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 85 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES char(3) NULL NULL +default default moretypes a 0 NULL YES decimal(10,2) NULL NULL 10 10 2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES decimal(10,2) 10 10 +default default moretypes b 1 NULL YES tinyint NULL NULL 3 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES tinyint 3 10 +default default moretypes c 2 NULL YES smallint NULL NULL 5 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES smallint 5 10 +default default moretypes d 3 NULL YES int NULL NULL 10 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES int 10 10 +default default moretypes e 4 NULL YES bigint NULL NULL 19 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES bigint 19 10 +default default moretypes f 5 NULL YES varchar(10) 10 10 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES varchar(10) NULL NULL +default default moretypes g 6 NULL YES char(3) 3 3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 42 NO NO NULL NULL NULL NULL NULL NULL NEVER NULL NO NO NULL YES char(3) NULL NULL PREHOOK: query: select * from COLUMN_PRIVILEGES order by GRANTOR, GRANTEE, TABLE_SCHEMA, TABLE_NAME, COLUMN_NAME limit 10 PREHOOK: type: QUERY PREHOOK: Input: information_schema@column_privileges diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out index 39de888..04ac09b 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_cube1.q.out @@ -47,14 +47,14 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Execution mode: llap @@ -64,7 +64,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -120,14 +120,14 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Execution mode: llap @@ -137,7 +137,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -219,14 +219,14 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Execution mode: llap @@ -236,12 +236,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -317,14 +317,14 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE Execution mode: llap LLAP IO: no inputs @@ -333,7 +333,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE @@ -404,12 +404,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -421,12 +421,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -436,7 +436,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -519,12 +519,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -535,12 +535,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -550,7 +550,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE @@ -649,12 +649,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -665,12 +665,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 368 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -682,12 +682,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -697,7 +697,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE @@ -747,12 +747,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -762,7 +762,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 736 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out index 7224d59..fd9dacb 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out @@ -70,18 +70,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -118,7 +118,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -126,16 +126,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -229,18 +229,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -277,7 +277,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -285,16 +285,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -388,18 +388,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -436,7 +436,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -444,16 +444,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int), _col0 (type: string), _col1 (type: string) + expressions: _col2 (type: bigint), _col0 (type: string), _col1 (type: string) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -541,18 +541,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -589,7 +589,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -597,16 +597,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int), _col0 (type: string), _col1 (type: string) + expressions: _col2 (type: bigint), _col0 (type: string), _col1 (type: string) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -694,18 +694,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -742,7 +742,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -750,22 +750,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 4416 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) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), 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 projectedOutputColumnNums: [0, 1, 2, 8] - selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:int, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:int, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:int, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:int, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string + selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -854,18 +854,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -902,7 +902,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -910,22 +910,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 4416 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) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), 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 projectedOutputColumnNums: [0, 1, 2, 8] - selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:int, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:int, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:int, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:int, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string + selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out index e6075c7..74f6289 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id2.q.out @@ -73,16 +73,16 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -123,7 +123,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -133,16 +133,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -166,7 +166,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -176,16 +176,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator @@ -275,16 +275,16 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -325,7 +325,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -335,16 +335,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -368,7 +368,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -378,16 +378,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator @@ -487,16 +487,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -536,7 +536,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -544,16 +544,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -576,7 +576,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -584,16 +584,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col2 Select Vectorization: className: VectorSelectOperator @@ -606,16 +606,16 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 2:int + keyExpressions: col 2:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col2 (type: int) + keys: _col2 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -639,7 +639,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 2 - dataColumns: KEY._col0:int, VALUE._col0:bigint + dataColumns: KEY._col0:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -649,18 +649,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int + keyExpressions: col 0:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int) + keys: KEY._col0 (type: bigint) mode: partials outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [0] @@ -681,7 +681,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 2 - dataColumns: KEY._col0:int, VALUE._col0:bigint + dataColumns: KEY._col0:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -691,11 +691,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int + keyExpressions: col 0:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int) + keys: KEY._col0 (type: bigint) mode: final outputColumnNames: _col0, _col1 Statistics: Num rows: 4 Data size: 32 Basic stats: COMPLETE Column stats: NONE @@ -794,16 +794,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -843,7 +843,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -851,16 +851,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -883,7 +883,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -891,16 +891,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col2 Select Vectorization: className: VectorSelectOperator @@ -913,16 +913,16 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 2:int + keyExpressions: col 2:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col2 (type: int) + keys: _col2 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -946,7 +946,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 2 - dataColumns: KEY._col0:int, VALUE._col0:bigint + dataColumns: KEY._col0:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -956,18 +956,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int + keyExpressions: col 0:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int) + keys: KEY._col0 (type: bigint) mode: partials outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [0] @@ -988,7 +988,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 2 - dataColumns: KEY._col0:int, VALUE._col0:bigint + dataColumns: KEY._col0:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -998,11 +998,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int + keyExpressions: col 0:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int) + keys: KEY._col0 (type: bigint) mode: final outputColumnNames: _col0, _col1 Statistics: Num rows: 4 Data size: 32 Basic stats: COMPLETE Column stats: NONE @@ -1097,16 +1097,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -1146,7 +1146,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1154,16 +1154,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -1175,7 +1175,7 @@ STAGE PLANS: valueColumnNums: [] Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -1198,7 +1198,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1206,16 +1206,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -1223,9 +1223,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] @@ -1240,8 +1240,8 @@ STAGE PLANS: condition map: Inner Join 0 to 1 keys: - 0 _col0 (type: int) - 1 _col0 (type: int) + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 79 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1263,7 +1263,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1271,16 +1271,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -1288,9 +1288,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] @@ -1425,16 +1425,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -1474,7 +1474,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1482,16 +1482,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -1503,7 +1503,7 @@ STAGE PLANS: valueColumnNums: [] Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: int), _col1 (type: int) Reduce Sink Vectorization: @@ -1526,7 +1526,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1534,16 +1534,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -1551,9 +1551,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] @@ -1568,8 +1568,8 @@ STAGE PLANS: condition map: Inner Join 0 to 1 keys: - 0 _col0 (type: int) - 1 _col0 (type: int) + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 79 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -1591,7 +1591,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1599,16 +1599,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -1616,9 +1616,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] @@ -1746,18 +1746,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1795,7 +1795,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1805,16 +1805,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator @@ -1912,18 +1912,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1960,7 +1960,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1968,16 +1968,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col2 Select Vectorization: className: VectorSelectOperator @@ -1990,18 +1990,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 2:int + keyExpressions: col 2:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col2 (type: int) + keys: _col2 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [0] @@ -2022,7 +2022,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 2 - dataColumns: KEY._col0:int, VALUE._col0:bigint + dataColumns: KEY._col0:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -2032,11 +2032,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int + keyExpressions: col 0:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int) + keys: KEY._col0 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 4 Data size: 32 Basic stats: COMPLETE Column stats: NONE @@ -2130,18 +2130,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -2150,9 +2150,9 @@ STAGE PLANS: valueColumnNums: [] Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -2189,7 +2189,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -2197,16 +2197,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -2214,9 +2214,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] @@ -2231,8 +2231,8 @@ STAGE PLANS: condition map: Inner Join 0 to 1 keys: - 0 _col0 (type: int) - 1 _col0 (type: int) + 0 _col0 (type: bigint) + 1 _col0 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 9 Data size: 79 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -2254,7 +2254,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -2262,16 +2262,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: int) + expressions: _col2 (type: bigint) outputColumnNames: _col0 Select Vectorization: className: VectorSelectOperator @@ -2279,9 +2279,9 @@ STAGE PLANS: projectedOutputColumnNums: [2] Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int) + key expressions: _col0 (type: bigint) sort order: + - Map-reduce partition columns: _col0 (type: int) + Map-reduce partition columns: _col0 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkLongOperator keyColumnNums: [2] diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id3.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id3.q.out index da4b81f..31da80c 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id3.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id3.q.out @@ -80,11 +80,11 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE @@ -92,17 +92,17 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterLongColEqualLongScalar(col 2:int, val 1) + predicateExpression: FilterLongColEqualLongScalar(col 2:bigint, val 1) predicate: (_col2 = 1) (type: boolean) Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), 1 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), 1 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), 1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 4] - keyExpressions: ConstantVectorExpression(val 1) -> 4:int + keyExpressions: ConstantVectorExpression(val 1) -> 4:bigint 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 valueColumnNums: [3] @@ -137,7 +137,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [bigint] Reduce Operator Tree: @@ -147,23 +147,23 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 1) -> 4:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 1) -> 4:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), 1 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), 1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 3 Data size: 24 Basic stats: COMPLETE Column stats: NONE pruneGroupingSetId: true Select Operator - expressions: _col0 (type: int), _col1 (type: int), 1 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 3, 2] - selectExpressions: ConstantVectorExpression(val 1) -> 3:int + selectExpressions: ConstantVectorExpression(val 1) -> 3:bigint Statistics: Num rows: 3 Data size: 24 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -199,6 +199,7 @@ POSTHOOK: type: QUERY POSTHOOK: Input: default@t1 #### A masked pattern was here #### key value grouping__id _c3 +0 0 1 0 1 NULL 1 2 2 NULL 1 1 3 NULL 1 2 @@ -256,18 +257,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -305,7 +306,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -315,11 +316,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: NONE @@ -327,17 +328,17 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterLongColEqualLongScalar(col 2:int, val 1) + predicateExpression: FilterLongColEqualLongScalar(col 2:bigint, val 1) predicate: (_col2 = 1) (type: boolean) Statistics: Num rows: 3 Data size: 24 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), 1 (type: int), _col3 (type: bigint) + expressions: _col0 (type: int), _col1 (type: int), 1 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 4, 3] - selectExpressions: ConstantVectorExpression(val 1) -> 4:int + selectExpressions: ConstantVectorExpression(val 1) -> 4:bigint Statistics: Num rows: 3 Data size: 24 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets1.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets1.q.out index d2b738b..137e06a 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets1.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets1.q.out @@ -88,18 +88,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -137,7 +137,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -147,11 +147,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -250,18 +250,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -299,7 +299,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -309,11 +309,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -412,18 +412,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -461,7 +461,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -471,11 +471,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -574,18 +574,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -623,7 +623,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -633,11 +633,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -730,18 +730,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, col 2:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, col 2:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: a (type: string), b (type: string), c (type: string), 0 (type: int) + keys: a (type: string), b (type: string), c (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 9936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2, 3] @@ -778,7 +778,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:string, KEY._col3:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:string, KEY._col3:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -786,11 +786,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int + keyExpressions: col 0:string, col 1:string, col 2:string, col 3:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 4968 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets2.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets2.q.out index 1877bba..d8da29a 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets2.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets2.q.out @@ -133,18 +133,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -165,7 +165,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -175,11 +175,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -314,18 +314,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -346,7 +346,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -356,11 +356,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -489,18 +489,18 @@ STAGE PLANS: aggregators: VectorUDAFSumDouble(col 2:double) -> double className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 13248 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -521,7 +521,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:double + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:double partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -531,11 +531,11 @@ STAGE PLANS: aggregators: VectorUDAFSumDouble(col 3:double) -> double className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 6624 Basic stats: COMPLETE Column stats: NONE @@ -718,25 +718,25 @@ STAGE PLANS: aggregators: VectorUDAFSumLong(col 2:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 12 Data size: 2184 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 12 Data size: 2232 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [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 valueColumnNums: [3] - Statistics: Num rows: 12 Data size: 2184 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 12 Data size: 2232 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col3 (type: bigint) Reducer 3 Execution mode: vectorized, llap @@ -750,7 +750,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -760,14 +760,14 @@ STAGE PLANS: aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 - Statistics: Num rows: 12 Data size: 2184 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 12 Data size: 2232 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true Select Operator expressions: _col0 (type: string), _col1 (type: string), _col3 (type: bigint) diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets3.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets3.q.out index 7c9f668..7911611 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets3.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets3.q.out @@ -70,14 +70,14 @@ STAGE PLANS: Statistics: Num rows: 12 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(c), count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 48 Data size: 26496 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 48 Data size: 26496 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct), _col4 (type: bigint) Execution mode: llap @@ -100,7 +100,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 5 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:struct, VALUE._col1:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:struct, VALUE._col1:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -110,11 +110,11 @@ STAGE PLANS: aggregators: VectorUDAFAvgFinal(col 3:struct) -> double, VectorUDAFCountMerge(col 4:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0, 1] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 24 Data size: 13248 Basic stats: COMPLETE Column stats: NONE @@ -178,14 +178,14 @@ STAGE PLANS: Statistics: Num rows: 12 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(c), count() - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 48 Data size: 26496 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 48 Data size: 26496 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct), _col4 (type: bigint) Execution mode: llap @@ -208,7 +208,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 5 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:struct, VALUE._col1:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:struct, VALUE._col1:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -218,11 +218,11 @@ STAGE PLANS: aggregators: VectorUDAFAvgFinal(col 3:struct) -> double, VectorUDAFCountMerge(col 4:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0, 1] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 24 Data size: 13248 Basic stats: COMPLETE Column stats: NONE @@ -352,18 +352,18 @@ STAGE PLANS: aggregators: VectorUDAFAvgPartial2(col 2:struct) -> struct, VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0, 1] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 48 Data size: 26496 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -384,7 +384,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 5 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:struct, VALUE._col1:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:struct, VALUE._col1:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -394,11 +394,11 @@ STAGE PLANS: aggregators: VectorUDAFAvgFinal(col 3:struct) -> double, VectorUDAFCountMerge(col 4:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0, 1] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3, _col4 Statistics: Num rows: 24 Data size: 13248 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets4.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets4.q.out index 6a5e679..55c18fa 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets4.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets4.q.out @@ -82,18 +82,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -103,9 +103,9 @@ STAGE PLANS: Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -143,7 +143,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -153,11 +153,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -219,7 +219,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -229,11 +229,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -326,18 +326,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -347,9 +347,9 @@ STAGE PLANS: Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -387,7 +387,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -397,11 +397,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -463,7 +463,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -473,11 +473,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -660,18 +660,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -681,9 +681,9 @@ STAGE PLANS: Statistics: Num rows: 8 Data size: 2944 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -704,7 +704,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -714,11 +714,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE @@ -780,7 +780,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -790,11 +790,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 4 Data size: 1472 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets5.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets5.q.out index 4d8fa16..4e57988 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets5.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets5.q.out @@ -144,18 +144,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 2:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 2:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -176,7 +176,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -186,11 +186,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -336,18 +336,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 2:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 2:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -368,7 +368,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -378,11 +378,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -597,18 +597,18 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), 0 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -629,7 +629,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -639,11 +639,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets6.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets6.q.out index 5e9e204..83c7ad8 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets6.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets6.q.out @@ -74,18 +74,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -122,7 +122,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -130,11 +130,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 3 Data size: 1104 Basic stats: COMPLETE Column stats: NONE @@ -217,18 +217,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -265,7 +265,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -273,11 +273,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 3 Data size: 1104 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_grouping.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_grouping.q.out index b81a0d3..8dd5cf0 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_grouping.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_grouping.q.out @@ -74,18 +74,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -122,7 +122,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -130,22 +130,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3, 4] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -235,18 +235,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -283,7 +283,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -291,22 +291,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3, 4] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -403,18 +403,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -451,7 +451,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -459,11 +459,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE @@ -471,7 +471,7 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int) + predicateExpression: FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint) predicate: (grouping(_col2, 1) = 1) (type: boolean) Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: NONE Select Operator @@ -572,18 +572,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: int), _col1 (type: int), 0 (type: int) + keys: _col0 (type: int), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -620,7 +620,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -628,11 +628,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE @@ -640,20 +640,20 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int), FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 0)) -> 3:int)) + predicateExpression: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint), FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 0)) -> 3:bigint)) predicate: ((grouping(_col2, 0) = 1) or (grouping(_col2, 1) = 1)) (type: boolean) Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: int), CASE WHEN (((grouping(_col2, 1) + grouping(_col2, 0)) = 1)) THEN (_col0) ELSE (null) END (type: int) + expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: bigint), CASE WHEN (((grouping(_col2, 1) + grouping(_col2, 0)) = 1)) THEN (_col0) ELSE (null) END (type: int) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 5, 4] - selectExpressions: LongColAddLongColumn(col 3:int, col 4:int)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int) -> 5:int, IfExprColumnNull(col 3:boolean, col 0:int, null)(children: LongColEqualLongScalar(col 6:int, val 1)(children: LongColAddLongColumn(col 3:int, col 4:int)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int) -> 6:int) -> 3:boolean, col 0:int) -> 4:int + selectExpressions: LongColAddLongColumn(col 3:bigint, col 4:bigint)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint) -> 5:bigint, IfExprColumnNull(col 3:boolean, col 0:int, null)(children: LongColEqualLongScalar(col 6:bigint, val 1)(children: LongColAddLongColumn(col 3:bigint, col 4:bigint)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint) -> 6:bigint) -> 3:boolean, col 0:int) -> 4:int Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col2 (type: int), _col3 (type: int) + key expressions: _col2 (type: bigint), _col3 (type: int) sort order: -+ Reduce Sink Vectorization: className: VectorReduceSinkObjectHashOperator @@ -675,12 +675,12 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:int, VALUE._col0:int, VALUE._col1:int + dataColumns: KEY.reducesinkkey0:bigint, KEY.reducesinkkey1:int, VALUE._col0:int, VALUE._col1:int partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int) + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: bigint) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -778,18 +778,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -826,7 +826,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -834,22 +834,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3, 4] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -939,18 +939,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -987,7 +987,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -995,22 +995,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1) (type: int), grouping(_col2, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1) (type: bigint), grouping(_col2, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3, 4] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -1107,11 +1107,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE @@ -1119,13 +1119,13 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int) + predicateExpression: FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint) predicate: (grouping(_col2, 1) = 1) (type: boolean) Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1162,7 +1162,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1170,11 +1170,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 6 Data size: 48 Basic stats: COMPLETE Column stats: NONE @@ -1269,11 +1269,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE @@ -1281,13 +1281,13 @@ STAGE PLANS: Filter Vectorization: className: VectorFilterOperator native: true - predicateExpression: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int), FilterLongColEqualLongScalar(col 3:int, val 1)(children: VectorUDFAdaptor(grouping(_col2, 0)) -> 3:int)) + predicateExpression: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint), FilterLongColEqualLongScalar(col 3:bigint, val 1)(children: VectorUDFAdaptor(grouping(_col2, 0)) -> 3:bigint)) predicate: ((grouping(_col2, 0) = 1) or (grouping(_col2, 1) = 1)) (type: boolean) Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1324,7 +1324,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1332,30 +1332,30 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: int) + expressions: _col0 (type: int), _col1 (type: int), (grouping(_col2, 1) + grouping(_col2, 0)) (type: bigint) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 5] - selectExpressions: LongColAddLongColumn(col 3:int, col 4:int)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:int, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:int) -> 5:int + selectExpressions: LongColAddLongColumn(col 3:bigint, col 4:bigint)(children: VectorUDFAdaptor(grouping(_col2, 1)) -> 3:bigint, VectorUDFAdaptor(grouping(_col2, 0)) -> 4:bigint) -> 5:bigint Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col2 (type: int), CASE WHEN ((_col2 = 1)) THEN (_col0) END (type: int) + key expressions: _col2 (type: bigint), CASE WHEN ((_col2 = 1)) THEN (_col0) END (type: int) sort order: -+ Reduce Sink Vectorization: className: VectorReduceSinkObjectHashOperator keyColumnNums: [5, 4] - keyExpressions: IfExprColumnNull(col 3:boolean, col 0:int, null)(children: LongColEqualLongScalar(col 5:int, val 1) -> 3:boolean, col 0:int) -> 4:int + keyExpressions: IfExprColumnNull(col 3:boolean, col 0:int, null)(children: LongColEqualLongScalar(col 5:bigint, val 1) -> 3:boolean, col 0:int) -> 4:int 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 valueColumnNums: [0, 1] @@ -1373,12 +1373,12 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY.reducesinkkey0:int, KEY.reducesinkkey1:int, VALUE._col0:int, VALUE._col1:int + dataColumns: KEY.reducesinkkey0:bigint, KEY.reducesinkkey1:int, VALUE._col0:int, VALUE._col1:int partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: int) + expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), KEY.reducesinkkey0 (type: bigint) outputColumnNames: _col0, _col1, _col2 Select Vectorization: className: VectorSelectOperator @@ -1476,18 +1476,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1524,7 +1524,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1532,22 +1532,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1, 0)) -> 3:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1, 0)) -> 3:bigint Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -1642,18 +1642,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 24 Data size: 192 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1690,7 +1690,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1698,22 +1698,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 0, 1) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 0, 1) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 0, 1)) -> 3:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 0, 1)) -> 3:bigint Statistics: Num rows: 12 Data size: 96 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -1808,18 +1808,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -1856,7 +1856,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -1864,22 +1864,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 1, 0) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 1, 0) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 1, 0)) -> 3:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 1, 0)) -> 3:bigint Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -1969,18 +1969,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:int, col 1:int, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: key (type: int), value (type: int), 0 (type: int) + keys: key (type: int), value (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 18 Data size: 144 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -2017,7 +2017,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 3 - dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:int + dataColumns: KEY._col0:int, KEY._col1:int, KEY._col2:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -2025,22 +2025,22 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int, col 2:int + keyExpressions: col 0:int, col 1:int, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), grouping(_col2, 0, 1) (type: int) + expressions: _col0 (type: int), _col1 (type: int), _col2 (type: bigint), grouping(_col2, 0, 1) (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Select Vectorization: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 1, 2, 3] - selectExpressions: VectorUDFAdaptor(grouping(_col2, 0, 1)) -> 3:int + selectExpressions: VectorUDFAdaptor(grouping(_col2, 0, 1)) -> 3:bigint Statistics: Num rows: 9 Data size: 72 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_limit.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_limit.q.out index e8ca06e..dee20d1 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_limit.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_sets_limit.q.out @@ -74,18 +74,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -124,7 +124,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -134,11 +134,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -275,18 +275,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 24 Data size: 8832 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -325,7 +325,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -335,11 +335,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -476,18 +476,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: a (type: string), b (type: string), 0 (type: int) + keys: a (type: string), b (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -526,7 +526,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -536,11 +536,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -675,18 +675,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, col 2:string, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:string, col 1:string, col 2:string, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: a (type: string), b (type: string), c (type: string), 0 (type: int) + keys: a (type: string), b (type: string), c (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 9936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) sort order: ++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2, 3] @@ -724,7 +724,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:string, KEY._col3:int + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:string, KEY._col3:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -732,11 +732,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int + keyExpressions: col 0:string, col 1:string, col 2:string, col 3:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 9 Data size: 4968 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out index 4de6ebb..9374bcc 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_window.q.out @@ -72,25 +72,25 @@ STAGE PLANS: aggregators: VectorUDAFMaxLong(col 1:int) -> int, VectorUDAFMaxLong(col 2:int) -> int className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:int, ConstantVectorExpression(val 0) -> 4:int + keyExpressions: col 0:int, ConstantVectorExpression(val 0) -> 4:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0, 1] - keys: category (type: int), 0 (type: int) + keys: category (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 - Statistics: Num rows: 3 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator - key expressions: _col0 (type: int), _col1 (type: int) + key expressions: _col0 (type: int), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: int), _col1 (type: int) + Map-reduce partition columns: _col0 (type: int), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [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 valueColumnNums: [2, 3] - Statistics: Num rows: 3 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: int) Execution mode: vectorized, llap LLAP IO: all inputs @@ -121,7 +121,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:int, KEY._col1:int, VALUE._col0:int, VALUE._col1:int + dataColumns: KEY._col0:int, KEY._col1:bigint, VALUE._col0:int, VALUE._col1:int partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -131,14 +131,14 @@ STAGE PLANS: aggregators: VectorUDAFMaxLong(col 2:int) -> int, VectorUDAFMaxLong(col 3:int) -> int className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:int, col 1:int + keyExpressions: col 0:int, col 1:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0, 1] - keys: KEY._col0 (type: int), KEY._col1 (type: int) + keys: KEY._col0 (type: int), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2, _col3 - Statistics: Num rows: 3 Data size: 48 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 3 Data size: 60 Basic stats: COMPLETE Column stats: COMPLETE pruneGroupingSetId: true Filter Operator Filter Vectorization: @@ -146,7 +146,7 @@ STAGE PLANS: native: true predicateExpression: FilterLongColGreaterLongScalar(col 2:int, val 0) predicate: (_col3 > 0) (type: boolean) - Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int), _col3 (type: int) sort order: ++ @@ -158,7 +158,7 @@ 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 partitionColumnNums: [0] valueColumnNums: [1] - Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int) Reducer 3 Execution mode: vectorized, llap @@ -183,7 +183,7 @@ STAGE PLANS: className: VectorSelectOperator native: true projectedOutputColumnNums: [0, 2, 1] - Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE PTF Operator Function definitions: Input definition @@ -217,7 +217,7 @@ STAGE PLANS: outputTypes: [int, int, int, int] partitionExpressions: [col 0:int] streamingColumns: [3] - Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: COMPLETE + Statistics: Num rows: 1 Data size: 20 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int), rank_window_0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_rollup1.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_rollup1.q.out index d1263cd..717c218 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_rollup1.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_rollup1.q.out @@ -70,18 +70,18 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator keyColumnNums: [0, 1, 2] @@ -119,7 +119,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -129,11 +129,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE @@ -227,18 +227,18 @@ STAGE PLANS: aggregators: VectorUDAFCount(col 1:string) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, ConstantVectorExpression(val 0) -> 3:int, col 1:string + keyExpressions: col 0:string, ConstantVectorExpression(val 0) -> 3:bigint, col 1:string native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkOperator native: false @@ -272,7 +272,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -354,16 +354,16 @@ STAGE PLANS: aggregators: VectorUDAFCountStar(*) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -404,7 +404,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -414,16 +414,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Reduce Sink Vectorization: @@ -447,7 +447,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -457,11 +457,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE @@ -556,16 +556,16 @@ STAGE PLANS: aggregators: VectorUDAFCount(col 1:string) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, ConstantVectorExpression(val 0) -> 3:int, col 1:string + keyExpressions: col 0:string, ConstantVectorExpression(val 0) -> 3:bigint, col 1:string native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Reduce Sink Vectorization: @@ -601,12 +601,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE @@ -621,7 +621,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 6 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -729,16 +729,16 @@ STAGE PLANS: aggregators: VectorUDAFCount(ConstantVectorExpression(val 1) -> 4:int) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 3:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -764,16 +764,16 @@ STAGE PLANS: aggregators: VectorUDAFSumLong(ConstantVectorExpression(val 1) -> 6:int) -> bigint className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:int + keyExpressions: col 0:string, col 1:string, ConstantVectorExpression(val 0) -> 5:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [0] - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Reduce Sink Vectorization: @@ -814,7 +814,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -824,16 +824,16 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Reduce Sink Vectorization: @@ -857,7 +857,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -867,11 +867,11 @@ STAGE PLANS: aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE @@ -907,7 +907,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -917,16 +917,16 @@ STAGE PLANS: aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: PARTIALS - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 18 Data size: 6624 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Reduce Sink Vectorization: @@ -950,7 +950,7 @@ STAGE PLANS: vectorized: true rowBatchContext: dataColumnCount: 4 - dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:int, VALUE._col0:bigint + dataColumns: KEY._col0:string, KEY._col1:string, KEY._col2:bigint, VALUE._col0:bigint partitionColumnCount: 0 scratchColumnTypeNames: [] Reduce Operator Tree: @@ -960,11 +960,11 @@ STAGE PLANS: aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint className: VectorGroupByOperator groupByMode: FINAL - keyExpressions: col 0:string, col 1:string, col 2:int + keyExpressions: col 0:string, col 1:string, col 2:bigint native: false vectorProcessingMode: STREAMING projectedOutputColumnNums: [0] - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 9 Data size: 3312 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/llap/vector_grouping_sets.q.out b/ql/src/test/results/clientpositive/llap/vector_grouping_sets.q.out index 0fc4b06..172e003 100644 --- a/ql/src/test/results/clientpositive/llap/vector_grouping_sets.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_grouping_sets.q.out @@ -168,18 +168,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:int + keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: s_store_id (type: string), 0 (type: int) + keys: s_store_id (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator native: true @@ -209,11 +209,11 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:int + keyExpressions: col 0:string, col 1:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0 Statistics: Num rows: 12 Data size: 2208 Basic stats: COMPLETE Column stats: NONE @@ -247,12 +247,12 @@ POSTHOOK: query: select s_store_id POSTHOOK: type: QUERY POSTHOOK: Input: default@store #### A masked pattern was here #### -NULL +AAAAAAAABAAAAAAA AAAAAAAAEAAAAAAA AAAAAAAAHAAAAAAA +NULL AAAAAAAAIAAAAAAA AAAAAAAAKAAAAAAA -AAAAAAAABAAAAAAA AAAAAAAACAAAAAAA PREHOOK: query: explain vectorization expression select s_store_id, GROUPING__ID @@ -299,18 +299,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:int + keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), 0 (type: int) + keys: _col0 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkMultiKeyOperator native: true @@ -340,16 +340,16 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: MERGEPARTIAL - keyExpressions: col 0:string, col 1:int + keyExpressions: col 0:string, col 1:bigint native: false vectorProcessingMode: MERGE_PARTIAL projectedOutputColumnNums: [] - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 2208 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: int) + expressions: _col0 (type: string), _col1 (type: bigint) outputColumnNames: _col0, _col1 Select Vectorization: className: VectorSelectOperator @@ -385,12 +385,12 @@ POSTHOOK: query: select s_store_id, GROUPING__ID POSTHOOK: type: QUERY POSTHOOK: Input: default@store #### A masked pattern was here #### -NULL 1 +AAAAAAAABAAAAAAA 0 AAAAAAAAEAAAAAAA 0 AAAAAAAAHAAAAAAA 0 +NULL 1 AAAAAAAAIAAAAAAA 0 AAAAAAAAKAAAAAAA 0 -AAAAAAAABAAAAAAA 0 AAAAAAAACAAAAAAA 0 PREHOOK: query: explain select s_store_id, GROUPING__ID @@ -424,14 +424,14 @@ STAGE PLANS: outputColumnNames: _col0 Statistics: Num rows: 12 Data size: 2208 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: string), 0 (type: int) + keys: _col0 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 24 Data size: 4416 Basic stats: COMPLETE Column stats: NONE Execution mode: vectorized, llap LLAP IO: all inputs @@ -439,12 +439,12 @@ STAGE PLANS: Execution mode: vectorized, llap Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 2208 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: int) + expressions: _col0 (type: string), _col1 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 2208 Basic stats: COMPLETE Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/perf/spark/query18.q.out b/ql/src/test/results/clientpositive/perf/spark/query18.q.out index 88d289c..33b2f62 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query18.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query18.q.out @@ -306,21 +306,21 @@ STAGE PLANS: Statistics: Num rows: 421645953 Data size: 57099332415 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col4), avg(_col5), avg(_col6), avg(_col7), avg(_col8), avg(_col9), avg(_col10) - keys: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11 Statistics: Num rows: 2108229765 Data size: 285496662075 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: bigint) sort order: +++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: bigint) Statistics: Num rows: 2108229765 Data size: 285496662075 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: struct), _col6 (type: struct), _col7 (type: struct), _col8 (type: struct), _col9 (type: struct), _col10 (type: struct), _col11 (type: struct) Reducer 5 Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), avg(VALUE._col1), avg(VALUE._col2), avg(VALUE._col3), avg(VALUE._col4), avg(VALUE._col5), avg(VALUE._col6) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col7, _col8, _col9, _col10, _col11 Statistics: Num rows: 1054114882 Data size: 142748330969 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query22.q.out b/ql/src/test/results/clientpositive/perf/spark/query22.q.out index 15fe441..38e4119 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query22.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query22.q.out @@ -165,21 +165,21 @@ STAGE PLANS: Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col3) - keys: _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 (type: string), 0 (type: int) + keys: _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 250121525 Data size: 3951879695 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: bigint) sort order: +++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: bigint) Statistics: Num rows: 250121525 Data size: 3951879695 Basic stats: COMPLETE Column stats: NONE value expressions: _col5 (type: struct) Reducer 3 Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col5 Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query27.q.out b/ql/src/test/results/clientpositive/perf/spark/query27.q.out index 627821f..a87ec45 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query27.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query27.q.out @@ -211,14 +211,14 @@ STAGE PLANS: Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2), avg(_col3), avg(_col4), avg(_col5) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 Statistics: Num rows: 2529945843 Data size: 223192556868 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2529945843 Data size: 223192556868 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: struct), _col4 (type: struct), _col5 (type: struct), _col6 (type: struct) @@ -226,12 +226,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0), avg(VALUE._col1), avg(VALUE._col2), avg(VALUE._col3) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), grouping(_col2, 0) (type: int), _col3 (type: double), _col4 (type: decimal(11,6)), _col5 (type: decimal(11,6)), _col6 (type: decimal(11,6)) + expressions: _col0 (type: string), _col1 (type: string), grouping(_col2, 0) (type: bigint), _col3 (type: double), _col4 (type: decimal(11,6)), _col5 (type: decimal(11,6)), _col6 (type: decimal(11,6)) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator @@ -239,11 +239,11 @@ STAGE PLANS: sort order: ++ Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 - value expressions: _col2 (type: int), _col3 (type: double), _col4 (type: decimal(11,6)), _col5 (type: decimal(11,6)), _col6 (type: decimal(11,6)) + value expressions: _col2 (type: bigint), _col3 (type: double), _col4 (type: decimal(11,6)), _col5 (type: decimal(11,6)), _col6 (type: decimal(11,6)) Reducer 6 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: decimal(11,6)), VALUE._col3 (type: decimal(11,6)), VALUE._col4 (type: decimal(11,6)) + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: double), VALUE._col2 (type: decimal(11,6)), VALUE._col3 (type: decimal(11,6)), VALUE._col4 (type: decimal(11,6)) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE Limit diff --git a/ql/src/test/results/clientpositive/perf/spark/query36.q.out b/ql/src/test/results/clientpositive/perf/spark/query36.q.out index d313337..1a1a991 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query36.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query36.q.out @@ -192,45 +192,45 @@ STAGE PLANS: Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 2299950717 Data size: 202902320028 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2299950717 Data size: 202902320028 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)) Reducer 4 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col2 (type: int) + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: (grouping(_col4, 1) + grouping(_col4, 0)) (type: int), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), (_col2 / _col3) (type: decimal(37,20)) + key expressions: (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), (_col2 / _col3) (type: decimal(37,20)) sort order: +++ - Map-reduce partition columns: (grouping(_col4, 1) + grouping(_col4, 0)) (type: int), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) + Map-reduce partition columns: (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: int) + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: bigint) Reducer 5 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: decimal(17,2)), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: int) + expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: decimal(17,2)), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: Input definition input alias: ptf_0 - output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: decimal(17,2), _col4: int + output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: decimal(17,2), _col4: bigint type: WINDOWING Windowing table definition input alias: ptf_1 @@ -248,11 +248,11 @@ STAGE PLANS: isPivotResult: true Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: (_col2 / _col3) (type: decimal(37,20)), _col0 (type: string), _col1 (type: string), (grouping(_col4, 1) + grouping(_col4, 0)) (type: int), rank_window_0 (type: int), CASE WHEN (((grouping(_col4, 1) + grouping(_col4, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) + expressions: (_col2 / _col3) (type: decimal(37,20)), _col0 (type: string), _col1 (type: string), (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col4, 1) + grouping(_col4, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col3 (type: int), _col5 (type: string), _col4 (type: int) + key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int) sort order: -++ Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 @@ -260,7 +260,7 @@ STAGE PLANS: Reducer 6 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: decimal(37,20)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: int) + expressions: VALUE._col0 (type: decimal(37,20)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Limit diff --git a/ql/src/test/results/clientpositive/perf/spark/query5.q.out b/ql/src/test/results/clientpositive/perf/spark/query5.q.out index 14e0bdb..1ba37e0 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query5.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query5.q.out @@ -550,14 +550,14 @@ STAGE PLANS: Statistics: Num rows: 191657181 Data size: 25444391433 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -609,14 +609,14 @@ STAGE PLANS: Statistics: Num rows: 182955399 Data size: 24876643188 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -685,14 +685,14 @@ STAGE PLANS: Statistics: Num rows: 383320021 Data size: 33442403085 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -700,7 +700,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4, _col5 Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query67.q.out b/ql/src/test/results/clientpositive/perf/spark/query67.q.out index 25d37bd..b0fc41c 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query67.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query67.q.out @@ -221,21 +221,21 @@ STAGE PLANS: Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col8) - keys: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 Statistics: Num rows: 6899852151 Data size: 608706960084 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: bigint) sort order: +++++++++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: bigint) Statistics: Num rows: 6899852151 Data size: 608706960084 Basic stats: COMPLETE Column stats: NONE value expressions: _col9 (type: decimal(28,2)) Reducer 4 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int), KEY._col5 (type: int), KEY._col6 (type: int), KEY._col7 (type: string), KEY._col8 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int), KEY._col5 (type: int), KEY._col6 (type: int), KEY._col7 (type: string), KEY._col8 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col9 Statistics: Num rows: 3449926075 Data size: 304353479997 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query70.q.out b/ql/src/test/results/clientpositive/perf/spark/query70.q.out index 862bdb0..7ebb776 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query70.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query70.q.out @@ -339,45 +339,45 @@ STAGE PLANS: Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2299950717 Data size: 202902320028 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2299950717 Data size: 202902320028 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: decimal(17,2)) Reducer 4 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: int) + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), _col2 (type: decimal(17,2)) + key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), _col2 (type: decimal(17,2)) sort order: ++- - Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) + Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: int) + value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: bigint) Reducer 5 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: int) + expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: Input definition input alias: ptf_0 - output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: int + output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: bigint type: WINDOWING Windowing table definition input alias: ptf_1 @@ -395,11 +395,11 @@ STAGE PLANS: isPivotResult: true Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) + expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col3 (type: int), _col5 (type: string), _col4 (type: int) + key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int) sort order: -++ Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 @@ -407,7 +407,7 @@ STAGE PLANS: Reducer 6 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: int) + expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE Limit diff --git a/ql/src/test/results/clientpositive/perf/spark/query77.q.out b/ql/src/test/results/clientpositive/perf/spark/query77.q.out index 6dcaf7c..9a77a7b 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query77.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query77.q.out @@ -665,14 +665,14 @@ STAGE PLANS: Statistics: Num rows: 158394413 Data size: 57088528313 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: int), 0 (type: int) + keys: _col0 (type: string), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -771,14 +771,14 @@ STAGE PLANS: Statistics: Num rows: 95833780 Data size: 13030622681 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: int), 0 (type: int) + keys: _col0 (type: string), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -857,14 +857,14 @@ STAGE PLANS: Statistics: Num rows: 383325119 Data size: 33817053337 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: int), 0 (type: int) + keys: _col0 (type: string), _col1 (type: int), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint) Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2)) @@ -872,7 +872,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2) - keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4, _col5 Statistics: Num rows: 956329968 Data size: 155904306496 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query80.q.out b/ql/src/test/results/clientpositive/perf/spark/query80.q.out index 606d23c..ee769f9 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query80.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query80.q.out @@ -646,14 +646,14 @@ STAGE PLANS: Statistics: Num rows: 231905279 Data size: 31404633508 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2)) @@ -775,14 +775,14 @@ STAGE PLANS: Statistics: Num rows: 115958879 Data size: 15767054151 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2)) @@ -848,14 +848,14 @@ STAGE PLANS: Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2), sum(_col3), sum(_col4) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2)) @@ -863,7 +863,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3, _col4, _col5 Statistics: Num rows: 1217531358 Data size: 132135485890 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/perf/spark/query86.q.out b/ql/src/test/results/clientpositive/perf/spark/query86.q.out index 8e159fd..80a24d3 100644 --- a/ql/src/test/results/clientpositive/perf/spark/query86.q.out +++ b/ql/src/test/results/clientpositive/perf/spark/query86.q.out @@ -150,45 +150,45 @@ STAGE PLANS: Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 522729705 Data size: 71076122589 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 522729705 Data size: 71076122589 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: decimal(17,2)) Reducer 3 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: int) + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), _col2 (type: decimal(17,2)) + key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string), _col2 (type: decimal(17,2)) sort order: ++- - Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) + Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (UDFToString(null)) END (type: string) Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE - value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: int) + value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: bigint) Reducer 4 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: int) + expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE PTF Operator Function definitions: Input definition input alias: ptf_0 - output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: int + output shape: _col0: string, _col1: string, _col2: decimal(17,2), _col3: bigint type: WINDOWING Windowing table definition input alias: ptf_1 @@ -206,11 +206,11 @@ STAGE PLANS: isPivotResult: true Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: int), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) + expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col3 (type: int), _col5 (type: string), _col4 (type: int) + key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int) sort order: -++ Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE TopN Hash Memory Usage: 0.1 @@ -218,7 +218,7 @@ STAGE PLANS: Reducer 5 Reduce Operator Tree: Select Operator - expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: int) + expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE Limit diff --git a/ql/src/test/results/clientpositive/spark/groupby_cube1.q.out b/ql/src/test/results/clientpositive/spark/groupby_cube1.q.out index fa1480e..71ccea5 100644 --- a/ql/src/test/results/clientpositive/spark/groupby_cube1.q.out +++ b/ql/src/test/results/clientpositive/spark/groupby_cube1.q.out @@ -42,21 +42,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -107,21 +107,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -198,26 +198,26 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: bigint) + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint), _col3 (type: bigint) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -288,20 +288,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -367,12 +367,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -381,12 +381,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -395,7 +395,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -473,12 +473,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -486,12 +486,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -500,7 +500,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -591,12 +591,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -612,12 +612,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -626,12 +626,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -640,7 +640,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -661,12 +661,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 4 Data size: 1200 Basic stats: COMPLETE Column stats: NONE @@ -675,7 +675,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/spark/groupby_rollup1.q.out b/ql/src/test/results/clientpositive/spark/groupby_rollup1.q.out index 460e7db..cf3721d 100644 --- a/ql/src/test/results/clientpositive/spark/groupby_rollup1.q.out +++ b/ql/src/test/results/clientpositive/spark/groupby_rollup1.q.out @@ -42,21 +42,21 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: bigint) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -127,20 +127,20 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reducer 2 Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -206,12 +206,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count() - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -220,12 +220,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -234,7 +234,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -306,12 +306,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(DISTINCT val) - keys: key (type: string), 0 (type: int), val (type: string) + keys: key (type: string), 0 (type: bigint), val (type: string) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string) + key expressions: _col0 (type: string), _col1 (type: bigint), _col2 (type: string) sort order: +++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -319,12 +319,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(DISTINCT KEY._col2:0._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ Map-reduce partition columns: _col0 (type: string) Statistics: Num rows: 2 Data size: 600 Basic stats: COMPLETE Column stats: NONE @@ -333,7 +333,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: final outputColumnNames: _col0, _col2 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -424,12 +424,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: count(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -445,12 +445,12 @@ STAGE PLANS: Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: sum(1) - keys: key (type: string), val (type: string), 0 (type: int) + keys: key (type: string), val (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: rand() (type: double) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -459,12 +459,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -473,7 +473,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: count(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE @@ -494,12 +494,12 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: partials outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ Map-reduce partition columns: _col0 (type: string), _col1 (type: string) Statistics: Num rows: 3 Data size: 900 Basic stats: COMPLETE Column stats: NONE @@ -508,7 +508,7 @@ STAGE PLANS: Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: final outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 1 Data size: 300 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/spark/limit_pushdown2.q.out b/ql/src/test/results/clientpositive/spark/limit_pushdown2.q.out index f6f0043..3bd49b4 100644 --- a/ql/src/test/results/clientpositive/spark/limit_pushdown2.q.out +++ b/ql/src/test/results/clientpositive/spark/limit_pushdown2.q.out @@ -966,21 +966,21 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE @@ -1051,21 +1051,21 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct) Reducer 2 Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE diff --git a/ql/src/test/results/clientpositive/tez/multi_count_distinct.q.out b/ql/src/test/results/clientpositive/tez/multi_count_distinct.q.out index bb08f16..5f5a852 100644 --- a/ql/src/test/results/clientpositive/tez/multi_count_distinct.q.out +++ b/ql/src/test/results/clientpositive/tez/multi_count_distinct.q.out @@ -43,14 +43,14 @@ Stage-0 PARTITION_ONLY_SHUFFLE [RS_9] Group By Operator [GBY_8] (rows=1 width=24) Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","count(_col1)","count(_col2)"] - Select Operator [SEL_6] (rows=13 width=97) + Select Operator [SEL_6] (rows=13 width=101) Output:["_col0","_col1","_col2"] - Group By Operator [GBY_5] (rows=13 width=97) + Group By Operator [GBY_5] (rows=13 width=101) Output:["_col0","_col1","_col2","_col3"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 <-Map 1 [SIMPLE_EDGE] SHUFFLE [RS_4] PartitionCols:_col0, _col1, _col2, _col3 - Group By Operator [GBY_3] (rows=13 width=97) + Group By Operator [GBY_3] (rows=13 width=101) Output:["_col0","_col1","_col2","_col3"],keys:_col0, _col1, _col2, 0 Select Operator [SEL_1] (rows=9 width=93) Output:["_col0","_col1","_col2"] @@ -123,14 +123,14 @@ Stage-0 PARTITION_ONLY_SHUFFLE [RS_9] Group By Operator [GBY_8] (rows=1 width=40) Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["count(_col0)","count(_col1)","count(_col2)","count(_col3)","count(_col4)"] - Select Operator [SEL_6] (rows=22 width=97) + Select Operator [SEL_6] (rows=22 width=101) Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_5] (rows=22 width=97) + Group By Operator [GBY_5] (rows=22 width=101) Output:["_col0","_col1","_col2","_col3"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 <-Map 1 [SIMPLE_EDGE] SHUFFLE [RS_4] PartitionCols:_col0, _col1, _col2, _col3 - Group By Operator [GBY_3] (rows=22 width=97) + Group By Operator [GBY_3] (rows=22 width=101) Output:["_col0","_col1","_col2","_col3"],keys:_col0, _col1, _col2, 0 Select Operator [SEL_1] (rows=9 width=93) Output:["_col0","_col1","_col2"] diff --git a/ql/src/test/results/clientpositive/vector_grouping_sets.q.out b/ql/src/test/results/clientpositive/vector_grouping_sets.q.out index f08c270..fc8290e 100644 --- a/ql/src/test/results/clientpositive/vector_grouping_sets.q.out +++ b/ql/src/test/results/clientpositive/vector_grouping_sets.q.out @@ -162,18 +162,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:int + keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: s_store_id (type: string), 0 (type: int) + keys: s_store_id (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 51264 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkOperator native: false @@ -196,7 +196,7 @@ STAGE PLANS: enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE @@ -273,18 +273,18 @@ STAGE PLANS: Group By Vectorization: className: VectorGroupByOperator groupByMode: HASH - keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:int + keyExpressions: col 1:string, ConstantVectorExpression(val 0) -> 30:bigint native: false vectorProcessingMode: HASH projectedOutputColumnNums: [] - keys: _col0 (type: string), 0 (type: int) + keys: _col0 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 51264 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Reduce Sink Vectorization: className: VectorReduceSinkOperator native: false @@ -307,12 +307,12 @@ STAGE PLANS: enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: int) + expressions: _col0 (type: string), _col1 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE File Output Operator @@ -374,24 +374,24 @@ STAGE PLANS: outputColumnNames: _col0 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE Group By Operator - keys: _col0 (type: string), 0 (type: int) + keys: _col0 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1 Statistics: Num rows: 24 Data size: 51264 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: int) + key expressions: _col0 (type: string), _col1 (type: bigint) sort order: ++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: bigint) Statistics: Num rows: 24 Data size: 51264 Basic stats: COMPLETE Column stats: NONE Execution mode: vectorized Reduce Operator Tree: Group By Operator - keys: KEY._col0 (type: string), KEY._col1 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE Select Operator - expressions: _col0 (type: string), _col1 (type: int) + expressions: _col0 (type: string), _col1 (type: bigint) outputColumnNames: _col0, _col1 Statistics: Num rows: 12 Data size: 25632 Basic stats: COMPLETE Column stats: NONE File Output Operator diff --git a/ql/src/test/results/clientpositive/view_cbo.q.out b/ql/src/test/results/clientpositive/view_cbo.q.out index e10cb7a..2fafa4f 100644 --- a/ql/src/test/results/clientpositive/view_cbo.q.out +++ b/ql/src/test/results/clientpositive/view_cbo.q.out @@ -26,20 +26,20 @@ STAGE PLANS: Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE Group By Operator aggregations: avg(_col2) - keys: _col0 (type: string), _col1 (type: string), 0 (type: int) + keys: _col0 (type: string), _col1 (type: string), 0 (type: bigint) mode: hash outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE Reduce Output Operator - key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) sort order: +++ - Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint) Statistics: Num rows: 1500 Data size: 15936 Basic stats: COMPLETE Column stats: NONE value expressions: _col3 (type: struct) Reduce Operator Tree: Group By Operator aggregations: avg(VALUE._col0) - keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint) mode: mergepartial outputColumnNames: _col0, _col1, _col3 Statistics: Num rows: 750 Data size: 7968 Basic stats: COMPLETE Column stats: NONE