Repository: hive
Updated Branches:
  refs/heads/branch-2 4c451694b -> 33dc63bb3


http://git-wip-us.apache.org/repos/asf/hive/blob/33dc63bb/ql/src/test/results/clientpositive/vectorization_div0.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/vectorization_div0.q.out 
b/ql/src/test/results/clientpositive/vectorization_div0.q.out
index 83dff79..4f46629 100644
--- a/ql/src/test/results/clientpositive/vectorization_div0.q.out
+++ b/ql/src/test/results/clientpositive/vectorization_div0.q.out
@@ -1,8 +1,8 @@
 PREHOOK: query: explain vectorization expression
-select cdouble / 0.0 from alltypesorc limit 100
+select cint / 0, ctinyint / 0, cbigint / 0, cdouble / 0.0 from alltypesorc 
limit 100
 PREHOOK: type: QUERY
 POSTHOOK: query: explain vectorization expression
-select cdouble / 0.0 from alltypesorc limit 100
+select cint / 0, ctinyint / 0, cbigint / 0, cdouble / 0.0 from alltypesorc 
limit 100
 POSTHOOK: type: QUERY
 PLAN VECTORIZATION:
   enabled: true
@@ -23,13 +23,13 @@ STAGE PLANS:
                 native: true
                 projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
             Select Operator
-              expressions: (cdouble / 0.0) (type: double)
-              outputColumnNames: _col0
+              expressions: (UDFToDouble(cint) / 0.0) (type: double), 
(UDFToDouble(ctinyint) / 0.0) (type: double), (UDFToDouble(cbigint) / 0.0) 
(type: double), (cdouble / 0.0) (type: double)
+              outputColumnNames: _col0, _col1, _col2, _col3
               Select Vectorization:
                   className: VectorSelectOperator
                   native: true
-                  projectedOutputColumns: [12]
-                  selectExpressions: DoubleColDivideDoubleScalar(col 5, val 
0.0) -> 12:double
+                  projectedOutputColumns: [13, 14, 15, 12]
+                  selectExpressions: DoubleColDivideDoubleScalar(col 12, val 
0.0)(children: CastLongToDouble(col 2) -> 12:double) -> 13:double, 
DoubleColDivideDoubleScalar(col 12, val 0.0)(children: CastLongToDouble(col 0) 
-> 12:double) -> 14:double, DoubleColDivideDoubleScalar(col 12, val 
0.0)(children: CastLongToDouble(col 3) -> 12:double) -> 15:double, 
DoubleColDivideDoubleScalar(col 5, val 0.0) -> 12:double
               Statistics: Num rows: 12288 Data size: 2641964 Basic stats: 
COMPLETE Column stats: NONE
               Limit
                 Number of rows: 100
@@ -63,114 +63,114 @@ STAGE PLANS:
       Processor Tree:
         ListSink
 
-PREHOOK: query: select cdouble / 0.0 from alltypesorc limit 100
+PREHOOK: query: select cint / 0, ctinyint / 0, cbigint / 0, cdouble / 0.0 from 
alltypesorc limit 100
 PREHOOK: type: QUERY
 PREHOOK: Input: default@alltypesorc
 #### A masked pattern was here ####
-POSTHOOK: query: select cdouble / 0.0 from alltypesorc limit 100
+POSTHOOK: query: select cint / 0, ctinyint / 0, cbigint / 0, cdouble / 0.0 
from alltypesorc limit 100
 POSTHOOK: type: QUERY
 POSTHOOK: Input: default@alltypesorc
 #### 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
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
-NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
+NULL   NULL    NULL    NULL
 PREHOOK: query: explain vectorization expression
 select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / 
(cbigint - 988888L) 
 from alltypesorc where cbigint > 0 and cbigint < 100000000 order by s1, s2 
limit 100
@@ -567,3 +567,201 @@ POSTHOOK: Input: default@alltypesorc
 0.0    NULL    NULL    NULL    NULL    NULL
 0.0    NULL    NULL    NULL    NULL    NULL
 0.0    NULL    NULL    NULL    NULL    NULL
+PREHOOK: query: explain vectorization expression
+select cint, cbigint, ctinyint, (cint / (cint - 528534767)) as c1, (cbigint / 
(cbigint - 1018195815)) as c2, (ctinyint / ctinyint) as c3, (cint % (cint - 
528534767)) as c4, (cbigint % (cbigint - 1018195815)), (ctinyint % ctinyint) as 
c3
+from alltypesorc where cint > 500000000 or cdouble > 1000000000 or ctinyint = 
0 order by c1, c2 limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select cint, cbigint, ctinyint, (cint / (cint - 528534767)) as c1, (cbigint / 
(cbigint - 1018195815)) as c2, (ctinyint / ctinyint) as c3, (cint % (cint - 
528534767)) as c4, (cbigint % (cbigint - 1018195815)), (ctinyint % ctinyint) as 
c3
+from alltypesorc where cint > 500000000 or cdouble > 1000000000 or ctinyint = 
0 order by c1, c2 limit 100
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+  enabled: true
+  enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+  Stage-1 is a root stage
+  Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+  Stage: Stage-1
+    Map Reduce
+      Map Operator Tree:
+          TableScan
+            alias: alltypesorc
+            Statistics: Num rows: 12288 Data size: 2641964 Basic stats: 
COMPLETE Column stats: NONE
+            TableScan Vectorization:
+                native: true
+                projectedOutputColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
+            Filter Operator
+              Filter Vectorization:
+                  className: VectorFilterOperator
+                  native: true
+                  predicateExpression: FilterExprOrExpr(children: 
FilterLongColGreaterLongScalar(col 2, val 500000000) -> boolean, 
FilterDoubleColGreaterDoubleScalar(col 5, val 1.0E9) -> boolean, 
FilterLongColEqualLongScalar(col 0, val 0) -> boolean) -> boolean
+              predicate: ((cint > 500000000) or (cdouble > 1.0E9) or (ctinyint 
= 0)) (type: boolean)
+              Statistics: Num rows: 12288 Data size: 2641964 Basic stats: 
COMPLETE Column stats: NONE
+              Select Operator
+                expressions: cint (type: int), cbigint (type: bigint), 
ctinyint (type: tinyint), (cint / (cint - 528534767)) (type: double), (cbigint 
/ (cbigint - 1018195815)) (type: double), (ctinyint / ctinyint) (type: double), 
(cint % (cint - 528534767)) (type: int), (cbigint % (cbigint - 1018195815)) 
(type: bigint), (ctinyint % ctinyint) (type: tinyint)
+                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, 
_col6, _col7, _col8
+                Select Vectorization:
+                    className: VectorSelectOperator
+                    native: true
+                    projectedOutputColumns: [2, 3, 0, 13, 14, 15, 16, 17, 12]
+                    selectExpressions: LongColDivideLongColumn(col 2, col 
12)(children: LongColSubtractLongScalar(col 2, val 528534767) -> 12:long) -> 
13:double, LongColDivideLongColumn(col 3, col 12)(children: 
LongColSubtractLongScalar(col 3, val 1018195815) -> 12:long) -> 14:double, 
LongColDivideLongColumn(col 0, col 0) -> 15:double, LongColModuloLongColumn(col 
2, col 12)(children: LongColSubtractLongScalar(col 2, val 528534767) -> 
12:long) -> 16:long, LongColModuloLongColumn(col 3, col 12)(children: 
LongColSubtractLongScalar(col 3, val 1018195815) -> 12:long) -> 17:long, 
LongColModuloLongColumn(col 0, col 0) -> 12:long
+                Statistics: Num rows: 12288 Data size: 2641964 Basic stats: 
COMPLETE Column stats: NONE
+                Reduce Output Operator
+                  key expressions: _col3 (type: double), _col4 (type: double)
+                  sort order: ++
+                  Reduce Sink Vectorization:
+                      className: VectorReduceSinkOperator
+                      native: false
+                      nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, No DISTINCT columns 
IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS 
true
+                      nativeConditionsNotMet: hive.execution.engine mr IN 
[tez, spark] IS false, No TopN IS false
+                  Statistics: Num rows: 12288 Data size: 2641964 Basic stats: 
COMPLETE Column stats: NONE
+                  TopN Hash Memory Usage: 0.1
+                  value expressions: _col0 (type: int), _col1 (type: bigint), 
_col2 (type: tinyint), _col5 (type: double), _col6 (type: int), _col7 (type: 
bigint), _col8 (type: tinyint)
+      Execution mode: vectorized
+      Map Vectorization:
+          enabled: true
+          enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS 
true
+          groupByVectorOutput: true
+          inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+          allNative: false
+          usesVectorUDFAdaptor: false
+          vectorized: true
+      Reduce Vectorization:
+          enabled: false
+          enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+          enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS 
false
+      Reduce Operator Tree:
+        Select Operator
+          expressions: VALUE._col0 (type: int), VALUE._col1 (type: bigint), 
VALUE._col2 (type: tinyint), KEY.reducesinkkey0 (type: double), 
KEY.reducesinkkey1 (type: double), VALUE._col3 (type: double), VALUE._col4 
(type: int), VALUE._col5 (type: bigint), VALUE._col6 (type: tinyint)
+          outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, 
_col7, _col8
+          Statistics: Num rows: 12288 Data size: 2641964 Basic stats: COMPLETE 
Column stats: NONE
+          Limit
+            Number of rows: 100
+            Statistics: Num rows: 100 Data size: 21500 Basic stats: COMPLETE 
Column stats: NONE
+            File Output Operator
+              compressed: false
+              Statistics: Num rows: 100 Data size: 21500 Basic stats: COMPLETE 
Column stats: NONE
+              table:
+                  input format: 
org.apache.hadoop.mapred.SequenceFileInputFormat
+                  output format: 
org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+                  serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+  Stage: Stage-0
+    Fetch Operator
+      limit: 100
+      Processor Tree:
+        ListSink
+
+PREHOOK: query: select cint, cbigint, ctinyint, (cint / (cint - 528534767)) as 
c1, (cbigint / (cbigint - 1018195815)) as c2, (ctinyint / ctinyint) as c3, 
(cint % (cint - 528534767)) as c4, (cbigint % (cbigint - 1018195815)), 
(ctinyint % ctinyint) as c3
+from alltypesorc where cint > 500000000 or cdouble > 1000000000 or ctinyint = 
0 order by c1, c2 limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesorc
+#### A masked pattern was here ####
+POSTHOOK: query: select cint, cbigint, ctinyint, (cint / (cint - 528534767)) 
as c1, (cbigint / (cbigint - 1018195815)) as c2, (ctinyint / ctinyint) as c3, 
(cint % (cint - 528534767)) as c4, (cbigint % (cbigint - 1018195815)), 
(ctinyint % ctinyint) as c3
+from alltypesorc where cint > 500000000 or cdouble > 1000000000 or ctinyint = 
0 order by c1, c2 limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesorc
+#### A masked pattern was here ####
+528534767      NULL    -47     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -4      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    38      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -13     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    9       NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -22     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    26      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    0       NULL    NULL    NULL    NULL    NULL    NULL
+528534767      NULL    -12     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -1      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    36      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -43     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -37     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    2       NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -48     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    38      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -22     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    10      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -45     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    13      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -5      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -28     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    41      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    43      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -21     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL
+528534767      NULL    27      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -5      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    34      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -53     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -5      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -30     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -33     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -21     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    0       NULL    NULL    NULL    NULL    NULL    NULL
+528534767      NULL    -59     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    61      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    21      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -40     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -55     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    34      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -36     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    30      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    18      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    53      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -33     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    19      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    61      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -4      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    51      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    5       NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -34     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    53      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    40      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -19     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -23     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -54     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    38      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -16     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -56     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    29      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    46      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -16     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    28      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -22     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -57     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    4       NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    24      NULL    NULL    1.0     NULL    NULL    0
+NULL   1018195815      0       NULL    NULL    NULL    NULL    NULL    NULL
+528534767      NULL    -44     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -24     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    51      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -11     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -55     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -23     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    36      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    24      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -7      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -56     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -32     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    39      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    40      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -45     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -62     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -48     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -11     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -51     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -23     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    62      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    16      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    61      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -11     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    NULL    NULL    NULL    NULL    NULL    NULL    NULL
+528534767      NULL    31      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    29      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -34     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    31      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -28     NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    33      NULL    NULL    1.0     NULL    NULL    0
+528534767      NULL    -50     NULL    NULL    1.0     NULL    NULL    0

http://git-wip-us.apache.org/repos/asf/hive/blob/33dc63bb/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
----------------------------------------------------------------------
diff --git 
a/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java 
b/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
index 926321e..5772012 100644
--- a/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
+++ b/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
@@ -227,7 +227,6 @@ public class GenVectorCode extends Task {
       {"ScalarDivideColumn", "Modulo", "long", "double", "%"},
       {"ScalarDivideColumn", "Modulo", "double", "long", "%"},
       {"ScalarDivideColumn", "Modulo", "double", "double", "%"},
-      {"ColumnDivideColumn", "Modulo", "long", "long", "%"},
       {"ColumnDivideColumn", "Modulo", "long", "double", "%"},
       {"ColumnDivideColumn", "Modulo", "double", "long", "%"},
       {"ColumnDivideColumn", "Modulo", "double", "double", "%"},

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