(hive) branch master updated: HIVE-28598: NPE in vectorized murmur_hash function on columns with repeating values (Seonggon Namgung reviewed by Stamatis Zampetakis, PLASH SPEED, Denys Kuzmenko)

[zabetak]

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The following commit(s) were added to refs/heads/master by this push:
     new a79922e57d5 HIVE-28598: NPE in vectorized murmur_hash function on 
columns with repeating values (Seonggon Namgung reviewed by Stamatis 
Zampetakis, PLASH SPEED, Denys Kuzmenko)
a79922e57d5 is described below

commit a79922e57d5f561c2402e8c185f22580434c5450
Author: seonggon <ln...@postech.ac.kr>
AuthorDate: Fri Nov 15 16:11:11 2024 +0900

    HIVE-28598: NPE in vectorized murmur_hash function on columns with 
repeating values (Seonggon Namgung reviewed by Stamatis Zampetakis, PLASH 
SPEED, Denys Kuzmenko)
    
    Close apache/hive#5543
---
 data/files/2048.csv                                | 2048 ++++++++++++++++++++
 .../vector/expressions/MurmurHashIntColIntCol.java |   11 +-
 .../expressions/MurmurHashStringColIntCol.java     |   11 +-
 .../expressions/MurmurHashStringColStringCol.java  |   11 +-
 .../expressions/TestMurmurHashExpression.java      |  122 ++
 .../vectorized_murmurhash_repeating.q              |   28 +
 .../llap/vectorized_murmurhash_repeating.q.out     |  578 ++++++
 7 files changed, 2797 insertions(+), 12 deletions(-)

diff --git a/data/files/2048.csv b/data/files/2048.csv
new file mode 100644
index 00000000000..f9024b756f9
--- /dev/null
+++ b/data/files/2048.csv
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diff --git 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashIntColIntCol.java
 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashIntColIntCol.java
index c4e9e410ba9..80189acf107 100644
--- 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashIntColIntCol.java
+++ 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashIntColIntCol.java
@@ -46,19 +46,22 @@ public class MurmurHashIntColIntCol extends 
MurmurHashExpression {
     LongColumnVector inV1 = (LongColumnVector) inputColVector1;
     LongColumnVector inV2 = (LongColumnVector) inputColVector2;
 
+    int idx1 = inputColVector1.isRepeating ? 0 : i;
+    int idx2 = inputColVector2.isRepeating ? 0 : i;
+
     // hash of value from 1. column
     int hash = 0;
-    if (!inV1.isNull[i]) {
+    if (!inV1.isNull[idx1]) {
       byteBuffer.clear();
-      byteBuffer.putLong(inV1.vector[i]);
+      byteBuffer.putLong(inV1.vector[idx1]);
       hash = Murmur3.hash32(byteBuffer.array(), 8);
     }
 
     int hash2 = 0;
     // hash of value from 2. column
-    if (!inV2.isNull[i]) {
+    if (!inV2.isNull[idx2]) {
       byteBuffer.clear();
-      byteBuffer.putLong(inV2.vector[i]);
+      byteBuffer.putLong(inV2.vector[idx2]);
       hash2 = Murmur3.hash32(byteBuffer.array(), 8);
     }
 
diff --git 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColIntCol.java
 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColIntCol.java
index ef4447acdcf..a224a3bba80 100644
--- 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColIntCol.java
+++ 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColIntCol.java
@@ -47,15 +47,18 @@ public class MurmurHashStringColIntCol extends 
MurmurHashExpression {
     BytesColumnVector inV1 = (BytesColumnVector) inputColVector1;
     LongColumnVector inV2 = (LongColumnVector) inputColVector2;
 
+    int idx1 = inputColVector1.isRepeating ? 0 : i;
+    int idx2 = inputColVector2.isRepeating ? 0 : i;
+
     // hash of value from 1. column
-    int hash = inV1.isNull[i] ? 0
-      : Murmur3.hash32(inV1.vector[i], inV1.start[i], inV1.length[i], 
Murmur3.DEFAULT_SEED);
+    int hash = inV1.isNull[idx1] ? 0
+      : Murmur3.hash32(inV1.vector[idx1], inV1.start[idx1], inV1.length[idx1], 
Murmur3.DEFAULT_SEED);
 
     // hash of value from 2. column
     int hash2 = 0;
-    if (!inV2.isNull[i]) {
+    if (!inV2.isNull[idx2]) {
       byteBuffer.clear();
-      byteBuffer.putLong(inV2.vector[i]);
+      byteBuffer.putLong(inV2.vector[idx2]);
       hash2 = Murmur3.hash32(byteBuffer.array(), 8);
     }
 
diff --git 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColStringCol.java
 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColStringCol.java
index c5df2ed3bb6..ac2e5eab0f0 100644
--- 
a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColStringCol.java
+++ 
b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/MurmurHashStringColStringCol.java
@@ -47,12 +47,15 @@ public class MurmurHashStringColStringCol extends 
MurmurHashExpression {
     BytesColumnVector inV1 = (BytesColumnVector) inputColVector1;
     BytesColumnVector inV2 = (BytesColumnVector) inputColVector2;
 
+    int idx1 = inputColVector1.isRepeating ? 0 : i;
+    int idx2 = inputColVector2.isRepeating ? 0 : i;
+
     // hash of value from 1. column
-    int hash = inV1.isNull[i] ? 0
-      : Murmur3.hash32(inV1.vector[i], inV1.start[i], inV1.length[i], 
Murmur3.DEFAULT_SEED);
+    int hash = inV1.isNull[idx1] ? 0
+      : Murmur3.hash32(inV1.vector[idx1], inV1.start[idx1], inV1.length[idx1], 
Murmur3.DEFAULT_SEED);
     // hash of value from 2. column
-    int hash2 = inV2.isNull[i] ? 0
-      : Murmur3.hash32(inV2.vector[i], inV2.start[i], inV2.length[i], 
Murmur3.DEFAULT_SEED);
+    int hash2 = inV2.isNull[idx2] ? 0
+      : Murmur3.hash32(inV2.vector[idx2], inV2.start[idx2], inV2.length[idx2], 
Murmur3.DEFAULT_SEED);
 
     outputColVector.vector[i] = 31 * hash + hash2;
   }
diff --git 
a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestMurmurHashExpression.java
 
b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestMurmurHashExpression.java
index 5c6cf1109b3..c777f9f9399 100644
--- 
a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestMurmurHashExpression.java
+++ 
b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestMurmurHashExpression.java
@@ -241,4 +241,126 @@ public class TestMurmurHashExpression {
           ((LongColumnVector) vrb.cols[2]).vector[i]);
     }
   }
+
+
+  private BytesColumnVector createBytesColumnVector(Text value, boolean 
isRepeating) {
+    BytesColumnVector bcv = new BytesColumnVector(SIZE);
+    bcv.initBuffer(value.getLength());
+    bcv.noNulls = true;
+    bcv.isRepeating = isRepeating;
+
+    byte[] bytes = value.copyBytes();
+    if (isRepeating) {
+      bcv.setRef(0, bytes, 0, value.getLength());
+      for (int i = 1; i < SIZE; i++) {
+        // modify length[i] to mimic ColumnVector reusing.
+        bcv.length[i] = 10;
+      }
+    } else {
+      for (int i = 0; i < SIZE; i++) {
+        bcv.setRef(i, bytes, 0, value.getLength());
+      }
+    }
+
+    return bcv;
+  }
+
+  private LongColumnVector createLongColumnVector(long value, boolean 
isRepeating) {
+    LongColumnVector lcv = new LongColumnVector(SIZE);
+    lcv.noNulls = true;
+    lcv.isRepeating = isRepeating;
+    if (isRepeating) {
+      lcv.vector[0] = value;
+    } else {
+      for (int i = 0; i < SIZE; i++) {
+        lcv.vector[i] = value;
+      }
+    }
+
+    return lcv;
+  }
+
+  @Test
+  public void testMurmurHashStringColStringColSingleRepeating() throws 
HiveException {
+    Text text = new Text("Value");
+    BytesColumnVector cvString1 = createBytesColumnVector(text, false);
+    BytesColumnVector cvString2 = createBytesColumnVector(text, true);
+
+    VectorizedRowBatch vrb = new VectorizedRowBatch(3, SIZE);
+    vrb.cols[0] = cvString1;
+    vrb.cols[1] = cvString2;
+    vrb.cols[2] = new LongColumnVector(SIZE);
+
+    new MurmurHashStringColStringCol(0, 1, 2).evaluate(vrb);
+
+    Assert.assertFalse(vrb.cols[2].isRepeating);
+
+    for (int i = 0; i < SIZE; i++) {
+      Assert.assertEquals(-452676736, ((LongColumnVector) 
vrb.cols[2]).vector[i]);
+    }
+  }
+
+  @Test
+  public void testMurmurHashIntColIntColSingleRepeating() throws HiveException 
{
+    long num = 7640254796529531955L;
+    LongColumnVector cvLong1 = createLongColumnVector(num, false);
+    LongColumnVector cvLong2 = createLongColumnVector(num, true);
+
+    VectorizedRowBatch vrb = new VectorizedRowBatch(3, SIZE);
+    vrb.cols[0] = cvLong1;
+    vrb.cols[1] = cvLong2;
+    vrb.cols[2] = new LongColumnVector(SIZE);
+
+    new MurmurHashIntColIntCol(0, 1, 2).evaluate(vrb);
+
+    Assert.assertFalse(vrb.cols[2].isRepeating);
+
+    for (int i = 0; i < SIZE; i++) {
+      Assert.assertEquals(1533409056, ((LongColumnVector) 
vrb.cols[2]).vector[i]);
+    }
+  }
+
+  @Test
+  public void testMurmurHashNonRepeatingStringColRepeatingIntCol() throws 
HiveException {
+    Text text = new Text("Value");
+    long num = 7640254796529531955L;
+
+    BytesColumnVector cvString = createBytesColumnVector(text, false);
+    LongColumnVector cvLong = createLongColumnVector(num, true);
+
+    VectorizedRowBatch vrb = new VectorizedRowBatch(3, SIZE);
+    vrb.cols[0] = cvString;
+    vrb.cols[1] = cvLong;
+    vrb.cols[2] = new LongColumnVector(SIZE);
+
+    new MurmurHashStringColIntCol(0, 1, 2).evaluate(vrb);
+
+    Assert.assertFalse(vrb.cols[2].isRepeating);
+
+    for (int i = 0; i < SIZE; i++) {
+      Assert.assertEquals(1622654365, ((LongColumnVector) 
vrb.cols[2]).vector[i]);
+    }
+  }
+
+  @Test
+  public void testMurmurHashRepeatingStringColNonRepeatingIntCol() throws 
HiveException {
+    Text text = new Text("Value");
+    long num = 7640254796529531955L;
+
+    BytesColumnVector cvString = createBytesColumnVector(text, true);
+    LongColumnVector cvLong = createLongColumnVector(num, false);
+
+    VectorizedRowBatch vrb = new VectorizedRowBatch(3, SIZE);
+    vrb.cols[0] = cvString;
+    vrb.cols[1] = cvLong;
+    vrb.cols[2] = new LongColumnVector(SIZE);
+
+    new MurmurHashStringColIntCol(0, 1, 2).evaluate(vrb);
+
+    Assert.assertFalse(vrb.cols[2].isRepeating);
+
+    for (int i = 0; i < SIZE; i++) {
+      Assert.assertEquals(1622654365, ((LongColumnVector) 
vrb.cols[2]).vector[i]);
+    }
+  }
 }
diff --git 
a/ql/src/test/queries/clientpositive/vectorized_murmurhash_repeating.q 
b/ql/src/test/queries/clientpositive/vectorized_murmurhash_repeating.q
new file mode 100644
index 00000000000..c2bd548c0e4
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/vectorized_murmurhash_repeating.q
@@ -0,0 +1,28 @@
+set hive.llap.io.enabled=false;
+set hive.vectorized.execution.enabled=true;
+
+create table csv_table(id string, id2 string) row format delimited fields 
terminated by ',' stored as textfile;
+LOAD DATA LOCAL INPATH '../../data/files/2048.csv' OVERWRITE INTO TABLE 
csv_table;
+
+CREATE TABLE source(id string, id2 string) stored as orc;
+insert overwrite table source select id, id2 from csv_table;
+
+-- Test MurmurHashStringColStringCol
+explain vectorization detail
+select sum(murmur_hash(id, id2)) from source;
+select sum(murmur_hash(id, id2)) from source;
+
+-- Test MurmurHashIntColIntCol
+explain vectorization detail
+select sum(murmur_hash(cast(id as BIGINT), cast(id2 as BIGINT))) from source;
+select sum(murmur_hash(cast(id as BIGINT), cast(id2 as BIGINT))) from source;
+
+-- Test MurmurHashStringColIntCol: string is repeating
+explain vectorization detail
+select sum(murmur_hash(id, cast(id2 as BIGINT))) from source;
+select sum(murmur_hash(id, cast(id2 as BIGINT))) from source;
+
+-- Test MurmurHashStringColIntCol: long is repeating
+explain vectorization detail
+select sum(murmur_hash(id2, cast(id as BIGINT))) from source;
+select sum(murmur_hash(id2, cast(id as BIGINT))) from source;
diff --git 
a/ql/src/test/results/clientpositive/llap/vectorized_murmurhash_repeating.q.out 
b/ql/src/test/results/clientpositive/llap/vectorized_murmurhash_repeating.q.out
new file mode 100644
index 00000000000..1229ee87bb8
--- /dev/null
+++ 
b/ql/src/test/results/clientpositive/llap/vectorized_murmurhash_repeating.q.out
@@ -0,0 +1,578 @@
+PREHOOK: query: create table csv_table(id string, id2 string) row format 
delimited fields terminated by ',' stored as textfile
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@csv_table
+POSTHOOK: query: create table csv_table(id string, id2 string) row format 
delimited fields terminated by ',' stored as textfile
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@csv_table
+PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/2048.csv' OVERWRITE 
INTO TABLE csv_table
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@csv_table
+POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/2048.csv' OVERWRITE 
INTO TABLE csv_table
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@csv_table
+PREHOOK: query: CREATE TABLE source(id string, id2 string) stored as orc
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@source
+POSTHOOK: query: CREATE TABLE source(id string, id2 string) stored as orc
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@source
+PREHOOK: query: insert overwrite table source select id, id2 from csv_table
+PREHOOK: type: QUERY
+PREHOOK: Input: default@csv_table
+PREHOOK: Output: default@source
+POSTHOOK: query: insert overwrite table source select id, id2 from csv_table
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@csv_table
+POSTHOOK: Output: default@source
+POSTHOOK: Lineage: source.id SIMPLE [(csv_table)csv_table.FieldSchema(name:id, 
type:string, comment:null), ]
+POSTHOOK: Lineage: source.id2 SIMPLE 
[(csv_table)csv_table.FieldSchema(name:id2, type:string, comment:null), ]
+PREHOOK: query: explain vectorization detail
+select sum(murmur_hash(id, id2)) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: explain vectorization detail
+select sum(murmur_hash(id, id2)) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+PLAN VECTORIZATION:
+  enabled: true
+  enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+  Stage-1 is a root stage
+  Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+  Stage: Stage-1
+    Tez
+#### A masked pattern was here ####
+      Edges:
+        Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
+#### A masked pattern was here ####
+      Vertices:
+        Map 1 
+            Map Operator Tree:
+                TableScan
+                  alias: source
+                  Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                  TableScan Vectorization:
+                      native: true
+                      vectorizationSchemaColumns: [0:id:string, 1:id2:string, 
2:ROW__ID:struct<writeid:bigint,bucketid:int,rowid:bigint>, 
3:ROW__IS__DELETED:boolean]
+                  Select Operator
+                    expressions: hash(id,id2) (type: int)
+                    outputColumnNames: _col0
+                    Select Vectorization:
+                        className: VectorSelectOperator
+                        native: true
+                        projectedOutputColumnNums: [4]
+                        selectExpressions: MurmurHashStringColStringCol(col 
0:string, col 1:string) -> 4:int
+                    Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                    Group By Operator
+                      aggregations: sum(_col0)
+                      Group By Vectorization:
+                          aggregators: VectorUDAFSumLong(col 4:int) -> bigint
+                          className: VectorGroupByOperator
+                          groupByMode: HASH
+                          native: false
+                          vectorProcessingMode: HASH
+                          projectedOutputColumnNums: [0]
+                      minReductionHashAggr: 0.99
+                      mode: hash
+                      outputColumnNames: _col0
+                      Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                      Reduce Output Operator
+                        null sort order: 
+                        sort order: 
+                        Reduce Sink Vectorization:
+                            className: VectorReduceSinkEmptyKeyOperator
+                            native: true
+                            nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine 
tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, 
BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+                            valueColumns: 0:bigint
+                        Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                        value expressions: _col0 (type: bigint)
+            Execution mode: vectorized, llap
+            Map Vectorization:
+                enabled: true
+                enabledConditionsMet: 
hive.vectorized.use.vectorized.input.format IS true
+                inputFormatFeatureSupport: [DECIMAL_64]
+                featureSupportInUse: [DECIMAL_64]
+                inputFileFormats: 
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 2
+                    includeColumns: [0, 1]
+                    dataColumns: id:string, id2:string
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: [bigint]
+        Reducer 2 
+            Execution mode: vectorized, llap
+            Reduce Vectorization:
+                enabled: true
+                enableConditionsMet: hive.vectorized.execution.reduce.enabled 
IS true, hive.execution.engine tez IN [tez] IS true
+                reduceColumnNullOrder: 
+                reduceColumnSortOrder: 
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 1
+                    dataColumns: VALUE._col0:bigint
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: []
+            Reduce Operator Tree:
+              Group By Operator
+                aggregations: sum(VALUE._col0)
+                Group By Vectorization:
+                    aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint
+                    className: VectorGroupByOperator
+                    groupByMode: MERGEPARTIAL
+                    native: false
+                    vectorProcessingMode: GLOBAL
+                    projectedOutputColumnNums: [0]
+                mode: mergepartial
+                outputColumnNames: _col0
+                Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                File Output Operator
+                  compressed: false
+                  File Sink Vectorization:
+                      className: VectorFileSinkOperator
+                      native: false
+                  Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                  table:
+                      input format: 
org.apache.hadoop.mapred.SequenceFileInputFormat
+                      output format: 
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+                      serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+  Stage: Stage-0
+    Fetch Operator
+      limit: -1
+      Processor Tree:
+        ListSink
+
+PREHOOK: query: select sum(murmur_hash(id, id2)) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(murmur_hash(id, id2)) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+59067566789
+PREHOOK: query: explain vectorization detail
+select sum(murmur_hash(cast(id as BIGINT), cast(id2 as BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: explain vectorization detail
+select sum(murmur_hash(cast(id as BIGINT), cast(id2 as BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+PLAN VECTORIZATION:
+  enabled: true
+  enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+  Stage-1 is a root stage
+  Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+  Stage: Stage-1
+    Tez
+#### A masked pattern was here ####
+      Edges:
+        Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
+#### A masked pattern was here ####
+      Vertices:
+        Map 1 
+            Map Operator Tree:
+                TableScan
+                  alias: source
+                  Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                  TableScan Vectorization:
+                      native: true
+                      vectorizationSchemaColumns: [0:id:string, 1:id2:string, 
2:ROW__ID:struct<writeid:bigint,bucketid:int,rowid:bigint>, 
3:ROW__IS__DELETED:boolean]
+                  Select Operator
+                    expressions: hash(UDFToLong(id),UDFToLong(id2)) (type: int)
+                    outputColumnNames: _col0
+                    Select Vectorization:
+                        className: VectorSelectOperator
+                        native: true
+                        projectedOutputColumnNums: [6]
+                        selectExpressions: MurmurHashIntColIntCol(col 
4:bigint, col 5:bigint)(children: CastStringToLong(col 0:string) -> 4:bigint, 
CastStringToLong(col 1:string) -> 5:bigint) -> 6:int
+                    Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                    Group By Operator
+                      aggregations: sum(_col0)
+                      Group By Vectorization:
+                          aggregators: VectorUDAFSumLong(col 6:int) -> bigint
+                          className: VectorGroupByOperator
+                          groupByMode: HASH
+                          native: false
+                          vectorProcessingMode: HASH
+                          projectedOutputColumnNums: [0]
+                      minReductionHashAggr: 0.99
+                      mode: hash
+                      outputColumnNames: _col0
+                      Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                      Reduce Output Operator
+                        null sort order: 
+                        sort order: 
+                        Reduce Sink Vectorization:
+                            className: VectorReduceSinkEmptyKeyOperator
+                            native: true
+                            nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine 
tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, 
BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+                            valueColumns: 0:bigint
+                        Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                        value expressions: _col0 (type: bigint)
+            Execution mode: vectorized, llap
+            Map Vectorization:
+                enabled: true
+                enabledConditionsMet: 
hive.vectorized.use.vectorized.input.format IS true
+                inputFormatFeatureSupport: [DECIMAL_64]
+                featureSupportInUse: [DECIMAL_64]
+                inputFileFormats: 
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 2
+                    includeColumns: [0, 1]
+                    dataColumns: id:string, id2:string
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: [bigint, bigint, bigint]
+        Reducer 2 
+            Execution mode: vectorized, llap
+            Reduce Vectorization:
+                enabled: true
+                enableConditionsMet: hive.vectorized.execution.reduce.enabled 
IS true, hive.execution.engine tez IN [tez] IS true
+                reduceColumnNullOrder: 
+                reduceColumnSortOrder: 
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 1
+                    dataColumns: VALUE._col0:bigint
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: []
+            Reduce Operator Tree:
+              Group By Operator
+                aggregations: sum(VALUE._col0)
+                Group By Vectorization:
+                    aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint
+                    className: VectorGroupByOperator
+                    groupByMode: MERGEPARTIAL
+                    native: false
+                    vectorProcessingMode: GLOBAL
+                    projectedOutputColumnNums: [0]
+                mode: mergepartial
+                outputColumnNames: _col0
+                Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                File Output Operator
+                  compressed: false
+                  File Sink Vectorization:
+                      className: VectorFileSinkOperator
+                      native: false
+                  Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                  table:
+                      input format: 
org.apache.hadoop.mapred.SequenceFileInputFormat
+                      output format: 
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+                      serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+  Stage: Stage-0
+    Fetch Operator
+      limit: -1
+      Processor Tree:
+        ListSink
+
+PREHOOK: query: select sum(murmur_hash(cast(id as BIGINT), cast(id2 as 
BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(murmur_hash(cast(id as BIGINT), cast(id2 as 
BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+-14637515591
+PREHOOK: query: explain vectorization detail
+select sum(murmur_hash(id, cast(id2 as BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: explain vectorization detail
+select sum(murmur_hash(id, cast(id2 as BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+PLAN VECTORIZATION:
+  enabled: true
+  enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+  Stage-1 is a root stage
+  Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+  Stage: Stage-1
+    Tez
+#### A masked pattern was here ####
+      Edges:
+        Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
+#### A masked pattern was here ####
+      Vertices:
+        Map 1 
+            Map Operator Tree:
+                TableScan
+                  alias: source
+                  Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                  TableScan Vectorization:
+                      native: true
+                      vectorizationSchemaColumns: [0:id:string, 1:id2:string, 
2:ROW__ID:struct<writeid:bigint,bucketid:int,rowid:bigint>, 
3:ROW__IS__DELETED:boolean]
+                  Select Operator
+                    expressions: hash(id,UDFToLong(id2)) (type: int)
+                    outputColumnNames: _col0
+                    Select Vectorization:
+                        className: VectorSelectOperator
+                        native: true
+                        projectedOutputColumnNums: [5]
+                        selectExpressions: MurmurHashStringColIntCol(col 
0:string, col 4:bigint)(children: CastStringToLong(col 1:string) -> 4:bigint) 
-> 5:int
+                    Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                    Group By Operator
+                      aggregations: sum(_col0)
+                      Group By Vectorization:
+                          aggregators: VectorUDAFSumLong(col 5:int) -> bigint
+                          className: VectorGroupByOperator
+                          groupByMode: HASH
+                          native: false
+                          vectorProcessingMode: HASH
+                          projectedOutputColumnNums: [0]
+                      minReductionHashAggr: 0.99
+                      mode: hash
+                      outputColumnNames: _col0
+                      Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                      Reduce Output Operator
+                        null sort order: 
+                        sort order: 
+                        Reduce Sink Vectorization:
+                            className: VectorReduceSinkEmptyKeyOperator
+                            native: true
+                            nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine 
tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, 
BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+                            valueColumns: 0:bigint
+                        Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                        value expressions: _col0 (type: bigint)
+            Execution mode: vectorized, llap
+            Map Vectorization:
+                enabled: true
+                enabledConditionsMet: 
hive.vectorized.use.vectorized.input.format IS true
+                inputFormatFeatureSupport: [DECIMAL_64]
+                featureSupportInUse: [DECIMAL_64]
+                inputFileFormats: 
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 2
+                    includeColumns: [0, 1]
+                    dataColumns: id:string, id2:string
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: [bigint, bigint]
+        Reducer 2 
+            Execution mode: vectorized, llap
+            Reduce Vectorization:
+                enabled: true
+                enableConditionsMet: hive.vectorized.execution.reduce.enabled 
IS true, hive.execution.engine tez IN [tez] IS true
+                reduceColumnNullOrder: 
+                reduceColumnSortOrder: 
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 1
+                    dataColumns: VALUE._col0:bigint
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: []
+            Reduce Operator Tree:
+              Group By Operator
+                aggregations: sum(VALUE._col0)
+                Group By Vectorization:
+                    aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint
+                    className: VectorGroupByOperator
+                    groupByMode: MERGEPARTIAL
+                    native: false
+                    vectorProcessingMode: GLOBAL
+                    projectedOutputColumnNums: [0]
+                mode: mergepartial
+                outputColumnNames: _col0
+                Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                File Output Operator
+                  compressed: false
+                  File Sink Vectorization:
+                      className: VectorFileSinkOperator
+                      native: false
+                  Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                  table:
+                      input format: 
org.apache.hadoop.mapred.SequenceFileInputFormat
+                      output format: 
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+                      serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+  Stage: Stage-0
+    Fetch Operator
+      limit: -1
+      Processor Tree:
+        ListSink
+
+PREHOOK: query: select sum(murmur_hash(id, cast(id2 as BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(murmur_hash(id, cast(id2 as BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+63601589819
+PREHOOK: query: explain vectorization detail
+select sum(murmur_hash(id2, cast(id as BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: explain vectorization detail
+select sum(murmur_hash(id2, cast(id as BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+PLAN VECTORIZATION:
+  enabled: true
+  enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+  Stage-1 is a root stage
+  Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+  Stage: Stage-1
+    Tez
+#### A masked pattern was here ####
+      Edges:
+        Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE)
+#### A masked pattern was here ####
+      Vertices:
+        Map 1 
+            Map Operator Tree:
+                TableScan
+                  alias: source
+                  Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                  TableScan Vectorization:
+                      native: true
+                      vectorizationSchemaColumns: [0:id:string, 1:id2:string, 
2:ROW__ID:struct<writeid:bigint,bucketid:int,rowid:bigint>, 
3:ROW__IS__DELETED:boolean]
+                  Select Operator
+                    expressions: hash(id2,UDFToLong(id)) (type: int)
+                    outputColumnNames: _col0
+                    Select Vectorization:
+                        className: VectorSelectOperator
+                        native: true
+                        projectedOutputColumnNums: [5]
+                        selectExpressions: MurmurHashStringColIntCol(col 
1:string, col 4:bigint)(children: CastStringToLong(col 0:string) -> 4:bigint) 
-> 5:int
+                    Statistics: Num rows: 2048 Data size: 393216 Basic stats: 
COMPLETE Column stats: COMPLETE
+                    Group By Operator
+                      aggregations: sum(_col0)
+                      Group By Vectorization:
+                          aggregators: VectorUDAFSumLong(col 5:int) -> bigint
+                          className: VectorGroupByOperator
+                          groupByMode: HASH
+                          native: false
+                          vectorProcessingMode: HASH
+                          projectedOutputColumnNums: [0]
+                      minReductionHashAggr: 0.99
+                      mode: hash
+                      outputColumnNames: _col0
+                      Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                      Reduce Output Operator
+                        null sort order: 
+                        sort order: 
+                        Reduce Sink Vectorization:
+                            className: VectorReduceSinkEmptyKeyOperator
+                            native: true
+                            nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine 
tez IN [tez] IS true, No PTF TopN IS true, No DISTINCT columns IS true, 
BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+                            valueColumns: 0:bigint
+                        Statistics: Num rows: 1 Data size: 8 Basic stats: 
COMPLETE Column stats: COMPLETE
+                        value expressions: _col0 (type: bigint)
+            Execution mode: vectorized, llap
+            Map Vectorization:
+                enabled: true
+                enabledConditionsMet: 
hive.vectorized.use.vectorized.input.format IS true
+                inputFormatFeatureSupport: [DECIMAL_64]
+                featureSupportInUse: [DECIMAL_64]
+                inputFileFormats: 
org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 2
+                    includeColumns: [0, 1]
+                    dataColumns: id:string, id2:string
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: [bigint, bigint]
+        Reducer 2 
+            Execution mode: vectorized, llap
+            Reduce Vectorization:
+                enabled: true
+                enableConditionsMet: hive.vectorized.execution.reduce.enabled 
IS true, hive.execution.engine tez IN [tez] IS true
+                reduceColumnNullOrder: 
+                reduceColumnSortOrder: 
+                allNative: false
+                usesVectorUDFAdaptor: false
+                vectorized: true
+                rowBatchContext:
+                    dataColumnCount: 1
+                    dataColumns: VALUE._col0:bigint
+                    partitionColumnCount: 0
+                    scratchColumnTypeNames: []
+            Reduce Operator Tree:
+              Group By Operator
+                aggregations: sum(VALUE._col0)
+                Group By Vectorization:
+                    aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint
+                    className: VectorGroupByOperator
+                    groupByMode: MERGEPARTIAL
+                    native: false
+                    vectorProcessingMode: GLOBAL
+                    projectedOutputColumnNums: [0]
+                mode: mergepartial
+                outputColumnNames: _col0
+                Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                File Output Operator
+                  compressed: false
+                  File Sink Vectorization:
+                      className: VectorFileSinkOperator
+                      native: false
+                  Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE 
Column stats: COMPLETE
+                  table:
+                      input format: 
org.apache.hadoop.mapred.SequenceFileInputFormat
+                      output format: 
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+                      serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+  Stage: Stage-0
+    Fetch Operator
+      limit: -1
+      Processor Tree:
+        ListSink
+
+PREHOOK: query: select sum(murmur_hash(id2, cast(id as BIGINT))) from source
+PREHOOK: type: QUERY
+PREHOOK: Input: default@source
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(murmur_hash(id2, cast(id as BIGINT))) from source
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@source
+#### A masked pattern was here ####
+-18550462563