diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/FunctionRegistry.java ql/src/java/org/apache/hadoop/hive/ql/exec/FunctionRegistry.java index 0f05160..6504d42 100644 --- ql/src/java/org/apache/hadoop/hive/ql/exec/FunctionRegistry.java +++ ql/src/java/org/apache/hadoop/hive/ql/exec/FunctionRegistry.java @@ -46,6 +46,7 @@ import org.apache.hadoop.hive.ql.udf.UDFBase64; import org.apache.hadoop.hive.ql.udf.UDFBin; import org.apache.hadoop.hive.ql.udf.UDFChr; +import org.apache.hadoop.hive.ql.udf.UDFCharacterLength; import org.apache.hadoop.hive.ql.udf.UDFConv; import org.apache.hadoop.hive.ql.udf.UDFCos; import org.apache.hadoop.hive.ql.udf.UDFCrc32; @@ -76,6 +77,7 @@ import org.apache.hadoop.hive.ql.udf.UDFMd5; import org.apache.hadoop.hive.ql.udf.UDFMinute; import org.apache.hadoop.hive.ql.udf.UDFMonth; +import org.apache.hadoop.hive.ql.udf.UDFOctetLength; import org.apache.hadoop.hive.ql.udf.UDFOPBitAnd; import org.apache.hadoop.hive.ql.udf.UDFOPBitNot; import org.apache.hadoop.hive.ql.udf.UDFOPBitOr; @@ -263,6 +265,8 @@ system.registerGenericUDF("ltrim", GenericUDFLTrim.class); system.registerGenericUDF("rtrim", GenericUDFRTrim.class); system.registerUDF("length", UDFLength.class, false); + system.registerUDF("character_length", UDFCharacterLength.class, false); + system.registerUDF("octet_length", UDFOctetLength.class, false); system.registerUDF("reverse", UDFReverse.class, false); system.registerGenericUDF("field", GenericUDFField.class); system.registerUDF("find_in_set", UDFFindInSet.class, false); diff --git ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/OctetLength.java ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/OctetLength.java new file mode 100644 index 0000000..b33eb09 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/OctetLength.java @@ -0,0 +1,151 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ + +package org.apache.hadoop.hive.ql.exec.vector.expressions; + +import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector; +import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch; + +public class OctetLength extends VectorExpression { + private static final long serialVersionUID = 1L; + private int colNum; + private int outputColumn; + + public OctetLength(int colNum, int outputColumn) { + this(); + this.colNum = colNum; + this.outputColumn = outputColumn; + } + + public OctetLength() { + super(); + } + + // Calculate the length of the UTF-8 strings in input vector and place results in output vector. + @Override + public void evaluate(VectorizedRowBatch batch) { + + if (childExpressions != null) { + super.evaluateChildren(batch); + } + + BytesColumnVector inputColVector = (BytesColumnVector) batch.cols[colNum]; + LongColumnVector outV = (LongColumnVector) batch.cols[outputColumn]; + int[] sel = batch.selected; + int n = batch.size; + byte[][] vector = inputColVector.vector; + int [] start = inputColVector.start; + int [] length = inputColVector.length; + long[] resultLen = outV.vector; + + if (n == 0) { + //Nothing to do + return; + } + + if (inputColVector.noNulls) { + outV.noNulls = true; + if (inputColVector.isRepeating) { + outV.isRepeating = true; + resultLen[0] = length[0]; + } else if (batch.selectedInUse) { + for(int j = 0; j != n; j++) { + int i = sel[j]; + resultLen[i] = length[i]; + } + outV.isRepeating = false; + } else { + for(int i = 0; i != n; i++) { + resultLen[i] = length[i]; + } + outV.isRepeating = false; + } + } else { + + /* + * Handle case with nulls. Don't do function if the value is null, to save time, + * because calling the function can be expensive. + */ + outV.noNulls = false; + if (inputColVector.isRepeating) { + outV.isRepeating = true; + outV.isNull[0] = inputColVector.isNull[0]; + if (!inputColVector.isNull[0]) { + resultLen[0] = length[0]; + } + } else if (batch.selectedInUse) { + for(int j = 0; j != n; j++) { + int i = sel[j]; + if (!inputColVector.isNull[i]) { + resultLen[i] = length[i]; + } + outV.isNull[i] = inputColVector.isNull[i]; + } + outV.isRepeating = false; + } else { + for(int i = 0; i != n; i++) { + if (!inputColVector.isNull[i]) { + resultLen[i] = length[i]; + } + outV.isNull[i] = inputColVector.isNull[i]; + } + outV.isRepeating = false; + } + } + } + + @Override + public int getOutputColumn() { + return outputColumn; + } + + @Override + public String getOutputType() { + return "Long"; + } + + public int getColNum() { + return colNum; + } + + public void setColNum(int colNum) { + this.colNum = colNum; + } + + public void setOutputColumn(int outputColumn) { + this.outputColumn = outputColumn; + } + + public String vectorExpressionParameters() { + return "col " + colNum; + } + + @Override + public VectorExpressionDescriptor.Descriptor getDescriptor() { + VectorExpressionDescriptor.Builder b = new VectorExpressionDescriptor.Builder(); + b.setMode(VectorExpressionDescriptor.Mode.PROJECTION) + .setNumArguments(1) + .setArgumentTypes( + VectorExpressionDescriptor.ArgumentType.STRING_FAMILY) + .setInputExpressionTypes( + VectorExpressionDescriptor.InputExpressionType.COLUMN); + return b.build(); + } +} diff --git ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java index fadbc20..ddb096d 100644 --- ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java +++ ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java @@ -39,6 +39,7 @@ import org.apache.calcite.util.Pair; import org.apache.commons.lang.ArrayUtils; import org.apache.commons.lang3.tuple.ImmutablePair; +import org.apache.hadoop.hive.ql.udf.*; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.apache.hadoop.fs.Path; @@ -155,47 +156,6 @@ import org.apache.hadoop.hive.ql.plan.VectorPartitionDesc; import org.apache.hadoop.hive.ql.plan.VectorSelectDesc; import org.apache.hadoop.hive.ql.plan.api.OperatorType; -import org.apache.hadoop.hive.ql.udf.UDFAcos; -import org.apache.hadoop.hive.ql.udf.UDFAsin; -import org.apache.hadoop.hive.ql.udf.UDFAtan; -import org.apache.hadoop.hive.ql.udf.UDFBin; -import org.apache.hadoop.hive.ql.udf.UDFConv; -import org.apache.hadoop.hive.ql.udf.UDFCos; -import org.apache.hadoop.hive.ql.udf.UDFDayOfMonth; -import org.apache.hadoop.hive.ql.udf.UDFDayOfWeek; -import org.apache.hadoop.hive.ql.udf.UDFDegrees; -import org.apache.hadoop.hive.ql.udf.UDFExp; -import org.apache.hadoop.hive.ql.udf.UDFFromUnixTime; -import org.apache.hadoop.hive.ql.udf.UDFHex; -import org.apache.hadoop.hive.ql.udf.UDFHour; -import org.apache.hadoop.hive.ql.udf.UDFLength; -import org.apache.hadoop.hive.ql.udf.UDFLike; -import org.apache.hadoop.hive.ql.udf.UDFLn; -import org.apache.hadoop.hive.ql.udf.UDFLog; -import org.apache.hadoop.hive.ql.udf.UDFLog10; -import org.apache.hadoop.hive.ql.udf.UDFLog2; -import org.apache.hadoop.hive.ql.udf.UDFMinute; -import org.apache.hadoop.hive.ql.udf.UDFMonth; -import org.apache.hadoop.hive.ql.udf.UDFRadians; -import org.apache.hadoop.hive.ql.udf.UDFRand; -import org.apache.hadoop.hive.ql.udf.UDFRegExpExtract; -import org.apache.hadoop.hive.ql.udf.UDFRegExpReplace; -import org.apache.hadoop.hive.ql.udf.UDFSecond; -import org.apache.hadoop.hive.ql.udf.UDFSign; -import org.apache.hadoop.hive.ql.udf.UDFSin; -import org.apache.hadoop.hive.ql.udf.UDFSqrt; -import org.apache.hadoop.hive.ql.udf.UDFSubstr; -import org.apache.hadoop.hive.ql.udf.UDFTan; -import org.apache.hadoop.hive.ql.udf.UDFToBoolean; -import org.apache.hadoop.hive.ql.udf.UDFToByte; -import org.apache.hadoop.hive.ql.udf.UDFToDouble; -import org.apache.hadoop.hive.ql.udf.UDFToFloat; -import org.apache.hadoop.hive.ql.udf.UDFToInteger; -import org.apache.hadoop.hive.ql.udf.UDFToLong; -import org.apache.hadoop.hive.ql.udf.UDFToShort; -import org.apache.hadoop.hive.ql.udf.UDFToString; -import org.apache.hadoop.hive.ql.udf.UDFWeekOfYear; -import org.apache.hadoop.hive.ql.udf.UDFYear; import org.apache.hadoop.hive.ql.udf.generic.*; import org.apache.hadoop.hive.serde.serdeConstants; import org.apache.hadoop.hive.serde2.ColumnProjectionUtils; @@ -335,6 +295,8 @@ public Vectorizer() { supportedGenericUDFs.add(GenericUDFOPAnd.class); supportedGenericUDFs.add(GenericUDFOPEqual.class); supportedGenericUDFs.add(UDFLength.class); + supportedGenericUDFs.add(UDFCharacterLength.class); + supportedGenericUDFs.add(UDFOctetLength.class); supportedGenericUDFs.add(UDFYear.class); supportedGenericUDFs.add(UDFMonth.class); diff --git ql/src/java/org/apache/hadoop/hive/ql/udf/UDFCharacterLength.java ql/src/java/org/apache/hadoop/hive/ql/udf/UDFCharacterLength.java new file mode 100644 index 0000000..b60dc97 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/udf/UDFCharacterLength.java @@ -0,0 +1,69 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.hadoop.hive.ql.udf; + +import org.apache.hadoop.hive.ql.exec.Description; +import org.apache.hadoop.hive.ql.exec.UDF; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedExpressions; +import org.apache.hadoop.hive.ql.exec.vector.expressions.StringLength; +import org.apache.hadoop.hive.ql.udf.generic.GenericUDFUtils; +import org.apache.hadoop.io.BytesWritable; +import org.apache.hadoop.io.IntWritable; +import org.apache.hadoop.io.Text; + +@Description(name = "character_length", + value = "_FUNC_(str | binary) - Returns the number of characters in str or binary data", + extended = "Example:\n" + + " > SELECT _FUNC_('안녕하세요') FROM src LIMIT 1;\n" + " 5") +@VectorizedExpressions({StringLength.class}) +public class UDFCharacterLength extends UDF { + private final IntWritable result = new IntWritable(); + + public IntWritable evaluate(Text s) { + if (s == null) { + return null; + } + + byte[] data = s.getBytes(); + int len = 0; + for (int i = 0; i < s.getLength(); i++) { + if (GenericUDFUtils.isUtfStartByte(data[i])) { + len++; + } + } + + result.set(len); + return result; + } + + public IntWritable evaluate(BytesWritable bw){ + if (bw == null){ + return null; + } + byte[] data = bw.getBytes(); + int len = 0; + for (int i = 0; i < bw.getLength(); i++) { + if (GenericUDFUtils.isUtfStartByte(data[i])) { + len++; + } + } + + result.set(len); + return result; + } +} diff --git ql/src/java/org/apache/hadoop/hive/ql/udf/UDFLength.java ql/src/java/org/apache/hadoop/hive/ql/udf/UDFLength.java index 4bdcb0e..be9c493 100644 --- ql/src/java/org/apache/hadoop/hive/ql/udf/UDFLength.java +++ ql/src/java/org/apache/hadoop/hive/ql/udf/UDFLength.java @@ -58,8 +58,7 @@ public IntWritable evaluate(Text s) { public IntWritable evaluate(BytesWritable bw){ if (bw == null){ return null; - -} + } result.set(bw.getLength()); return result; } diff --git ql/src/java/org/apache/hadoop/hive/ql/udf/UDFOctetLength.java ql/src/java/org/apache/hadoop/hive/ql/udf/UDFOctetLength.java new file mode 100644 index 0000000..b963870 --- /dev/null +++ ql/src/java/org/apache/hadoop/hive/ql/udf/UDFOctetLength.java @@ -0,0 +1,51 @@ +/** + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package org.apache.hadoop.hive.ql.udf; + +import org.apache.hadoop.hive.ql.exec.Description; +import org.apache.hadoop.hive.ql.exec.UDF; +import org.apache.hadoop.hive.ql.exec.vector.VectorizedExpressions; +import org.apache.hadoop.hive.ql.exec.vector.expressions.OctetLength; +import org.apache.hadoop.io.BytesWritable; +import org.apache.hadoop.io.IntWritable; +import org.apache.hadoop.io.Text; + +@Description(name = "octet_length", + value = "_FUNC_(str | binary) - Returns the number of bytes in str or binary data", + extended = "Example:\n" + + " > SELECT _FUNC_('안녕하세요') FROM src LIMIT 1;\n" + " 15") +@VectorizedExpressions({OctetLength.class}) +public class UDFOctetLength extends UDF { + private final IntWritable result = new IntWritable(); + + public IntWritable evaluate(Text s) { + if (s == null){ + return null; + } + result.set(s.getLength()); + return result; + } + + public IntWritable evaluate(BytesWritable bw){ + if (bw == null){ + return null; + } + result.set(bw.getLength()); + return result; + } +} diff --git ql/src/test/queries/clientpositive/udf_character_length.q ql/src/test/queries/clientpositive/udf_character_length.q new file mode 100644 index 0000000..8e5adab --- /dev/null +++ ql/src/test/queries/clientpositive/udf_character_length.q @@ -0,0 +1,16 @@ +set hive.fetch.task.conversion=more; + +DESCRIBE FUNCTION character_length; +DESCRIBE FUNCTION EXTENDED character_length; + +CREATE TABLE dest1(len INT); +EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value); +FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value); +SELECT dest1.* FROM dest1; +DROP TABLE dest1; + +-- Test with non-ascii characters. +CREATE TABLE dest1(name STRING) STORED AS TEXTFILE; +LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1; +EXPLAIN SELECT character_length(dest1.name) FROM dest1; +SELECT character_length(dest1.name) FROM dest1; diff --git ql/src/test/queries/clientpositive/udf_octet_length.q ql/src/test/queries/clientpositive/udf_octet_length.q new file mode 100644 index 0000000..d449efa --- /dev/null +++ ql/src/test/queries/clientpositive/udf_octet_length.q @@ -0,0 +1,16 @@ +set hive.fetch.task.conversion=more; + +DESCRIBE FUNCTION octet_length; +DESCRIBE FUNCTION EXTENDED octet_length; + +CREATE TABLE dest1(len INT); +EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value); +FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value); +SELECT dest1.* FROM dest1; +DROP TABLE dest1; + +-- Test with non-ascii characters. +CREATE TABLE dest1(name STRING) STORED AS TEXTFILE; +LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1; +EXPLAIN SELECT octet_length(dest1.name) FROM dest1; +SELECT octet_length(dest1.name) FROM dest1; diff --git ql/src/test/results/clientpositive/show_functions.q.out ql/src/test/results/clientpositive/show_functions.q.out index 3c9bb4a..d632a01 100644 --- ql/src/test/results/clientpositive/show_functions.q.out +++ ql/src/test/results/clientpositive/show_functions.q.out @@ -43,6 +43,7 @@ case cbrt ceil ceiling +character_length chr coalesce collect_list @@ -168,6 +169,7 @@ not ntile nullif nvl +octet_length or parse_url parse_url_tuple @@ -269,6 +271,7 @@ case cbrt ceil ceiling +character_length chr coalesce collect_list diff --git ql/src/test/results/clientpositive/udf_character_length.q.out ql/src/test/results/clientpositive/udf_character_length.q.out new file mode 100644 index 0000000..60ea852 --- /dev/null +++ ql/src/test/results/clientpositive/udf_character_length.q.out @@ -0,0 +1,205 @@ +PREHOOK: query: DESCRIBE FUNCTION character_length +PREHOOK: type: DESCFUNCTION +POSTHOOK: query: DESCRIBE FUNCTION character_length +POSTHOOK: type: DESCFUNCTION +character_length(str | binary) - Returns the number of characters in str or binary data +PREHOOK: query: DESCRIBE FUNCTION EXTENDED character_length +PREHOOK: type: DESCFUNCTION +POSTHOOK: query: DESCRIBE FUNCTION EXTENDED character_length +POSTHOOK: type: DESCFUNCTION +character_length(str | binary) - Returns the number of characters in str or binary data +Example: + > SELECT character_length('HUX8�') FROM src LIMIT 1; + 5 +Function class:org.apache.hadoop.hive.ql.udf.UDFCharacterLength +Function type:BUILTIN +PREHOOK: query: CREATE TABLE dest1(len INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@dest1 +POSTHOOK: query: CREATE TABLE dest1(len INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@dest1 +PREHOOK: query: EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value) +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-7 depends on stages: Stage-1 , consists of Stage-4, Stage-3, Stage-5 + Stage-4 + Stage-0 depends on stages: Stage-4, Stage-3, Stage-6 + Stage-2 depends on stages: Stage-0 + Stage-3 + Stage-5 + Stage-6 depends on stages: Stage-5 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: src1 + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: character_length(value) (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-7 + Conditional Operator + + Stage: Stage-4 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-2 + Stats-Aggr Operator + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-5 + Map Reduce + Map Operator Tree: + TableScan + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-6 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + +PREHOOK: query: FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value) +PREHOOK: type: QUERY +PREHOOK: Input: default@src1 +PREHOOK: Output: default@dest1 +POSTHOOK: query: FROM src1 INSERT OVERWRITE TABLE dest1 SELECT character_length(src1.value) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src1 +POSTHOOK: Output: default@dest1 +POSTHOOK: Lineage: dest1.len EXPRESSION [(src1)src1.FieldSchema(name:value, type:string, comment:default), ] +PREHOOK: query: SELECT dest1.* FROM dest1 +PREHOOK: type: QUERY +PREHOOK: Input: default@dest1 +#### A masked pattern was here #### +POSTHOOK: query: SELECT dest1.* FROM dest1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@dest1 +#### A masked pattern was here #### +7 +0 +7 +6 +7 +7 +7 +7 +6 +7 +7 +7 +7 +7 +7 +0 +0 +6 +0 +7 +7 +7 +0 +0 +0 +PREHOOK: query: DROP TABLE dest1 +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@dest1 +PREHOOK: Output: default@dest1 +POSTHOOK: query: DROP TABLE dest1 +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@dest1 +POSTHOOK: Output: default@dest1 +PREHOOK: query: CREATE TABLE dest1(name STRING) STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@dest1 +POSTHOOK: query: CREATE TABLE dest1(name STRING) STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@dest1 +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1 +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@dest1 +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1 +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@dest1 +PREHOOK: query: EXPLAIN SELECT character_length(dest1.name) FROM dest1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT character_length(dest1.name) FROM dest1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-0 is a root stage + +STAGE PLANS: + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + TableScan + alias: dest1 + Statistics: Num rows: 1 Data size: 6 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: character_length(name) (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 6 Basic stats: COMPLETE Column stats: NONE + ListSink + +PREHOOK: query: SELECT character_length(dest1.name) FROM dest1 +PREHOOK: type: QUERY +PREHOOK: Input: default@dest1 +#### A masked pattern was here #### +POSTHOOK: query: SELECT character_length(dest1.name) FROM dest1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@dest1 +#### A masked pattern was here #### +2 diff --git ql/src/test/results/clientpositive/udf_octet_length.q.out ql/src/test/results/clientpositive/udf_octet_length.q.out new file mode 100644 index 0000000..57b16bd --- /dev/null +++ ql/src/test/results/clientpositive/udf_octet_length.q.out @@ -0,0 +1,205 @@ +PREHOOK: query: DESCRIBE FUNCTION octet_length +PREHOOK: type: DESCFUNCTION +POSTHOOK: query: DESCRIBE FUNCTION octet_length +POSTHOOK: type: DESCFUNCTION +octet_length(str | binary) - Returns the number of bytes in str or binary data +PREHOOK: query: DESCRIBE FUNCTION EXTENDED octet_length +PREHOOK: type: DESCFUNCTION +POSTHOOK: query: DESCRIBE FUNCTION EXTENDED octet_length +POSTHOOK: type: DESCFUNCTION +octet_length(str | binary) - Returns the number of bytes in str or binary data +Example: + > SELECT octet_length('HUX8�') FROM src LIMIT 1; + 15 +Function class:org.apache.hadoop.hive.ql.udf.UDFOctetLength +Function type:BUILTIN +PREHOOK: query: CREATE TABLE dest1(len INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@dest1 +POSTHOOK: query: CREATE TABLE dest1(len INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@dest1 +PREHOOK: query: EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value) +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-7 depends on stages: Stage-1 , consists of Stage-4, Stage-3, Stage-5 + Stage-4 + Stage-0 depends on stages: Stage-4, Stage-3, Stage-6 + Stage-2 depends on stages: Stage-0 + Stage-3 + Stage-5 + Stage-6 depends on stages: Stage-5 + +STAGE PLANS: + Stage: Stage-1 + Map Reduce + Map Operator Tree: + TableScan + alias: src1 + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: octet_length(value) (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-7 + Conditional Operator + + Stage: Stage-4 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + + Stage: Stage-0 + Move Operator + tables: + replace: true + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-2 + Stats-Aggr Operator + + Stage: Stage-3 + Map Reduce + Map Operator Tree: + TableScan + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-5 + Map Reduce + Map Operator Tree: + TableScan + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.dest1 + + Stage: Stage-6 + Move Operator + files: + hdfs directory: true +#### A masked pattern was here #### + +PREHOOK: query: FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value) +PREHOOK: type: QUERY +PREHOOK: Input: default@src1 +PREHOOK: Output: default@dest1 +POSTHOOK: query: FROM src1 INSERT OVERWRITE TABLE dest1 SELECT octet_length(src1.value) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src1 +POSTHOOK: Output: default@dest1 +POSTHOOK: Lineage: dest1.len EXPRESSION [(src1)src1.FieldSchema(name:value, type:string, comment:default), ] +PREHOOK: query: SELECT dest1.* FROM dest1 +PREHOOK: type: QUERY +PREHOOK: Input: default@dest1 +#### A masked pattern was here #### +POSTHOOK: query: SELECT dest1.* FROM dest1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@dest1 +#### A masked pattern was here #### +7 +0 +7 +6 +7 +7 +7 +7 +6 +7 +7 +7 +7 +7 +7 +0 +0 +6 +0 +7 +7 +7 +0 +0 +0 +PREHOOK: query: DROP TABLE dest1 +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@dest1 +PREHOOK: Output: default@dest1 +POSTHOOK: query: DROP TABLE dest1 +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@dest1 +POSTHOOK: Output: default@dest1 +PREHOOK: query: CREATE TABLE dest1(name STRING) STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@dest1 +POSTHOOK: query: CREATE TABLE dest1(name STRING) STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@dest1 +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1 +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@dest1 +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/kv4.txt' INTO TABLE dest1 +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@dest1 +PREHOOK: query: EXPLAIN SELECT octet_length(dest1.name) FROM dest1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT octet_length(dest1.name) FROM dest1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-0 is a root stage + +STAGE PLANS: + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + TableScan + alias: dest1 + Statistics: Num rows: 1 Data size: 6 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: octet_length(name) (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 6 Basic stats: COMPLETE Column stats: NONE + ListSink + +PREHOOK: query: SELECT octet_length(dest1.name) FROM dest1 +PREHOOK: type: QUERY +PREHOOK: Input: default@dest1 +#### A masked pattern was here #### +POSTHOOK: query: SELECT octet_length(dest1.name) FROM dest1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@dest1 +#### A masked pattern was here #### +6