http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
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diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out 
b/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
deleted file mode 100644
index 77caa03..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
+++ /dev/null
@@ -1,435 +0,0 @@
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > -15)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > -15)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-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: alltypesparquet
-            Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-            TableScan Vectorization:
-                native: true
-                vectorizationSchemaColumns: [0:ctinyint:tinyint, 
1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 
5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 
8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 
11:cboolean2:boolean, 
12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
-            Filter Operator
-              Filter Vectorization:
-                  className: VectorFilterOperator
-                  native: true
-                  predicateExpression: FilterExprAndExpr(children: 
FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), 
FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, 
val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), 
FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), 
FilterStringColLikeStringScalar(col 7:string, pattern ss)), 
FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 
5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 
13:double, val -15.0)(children: CastTimestampToDouble(col 9:timestamp) -> 
13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 3569.0, col 
5:double))))
-              predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) 
> -15.0) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) <= 0.0) or 
(UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and (ctinyint <> 0)) 
(type: boolean)
-              Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-              Select Operator
-                expressions: cboolean1 (type: boolean), cbigint (type: 
bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 
(type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), 
(UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), 
(- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), 
(cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % 
UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- 
ctinyint) % ctinyint) (type: tinyint)
-                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, 
_col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
-                Select Vectorization:
-                    className: VectorSelectOperator
-                    native: true
-                    projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 
17, 19, 20, 18, 21, 23]
-                    selectExpressions: LongColAddLongColumn(col 3:bigint, col 
3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: 
col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, 
LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 
18:int, val 17)(children: col 18:tinyint) -> 19:int, 
LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 
18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 
1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 
21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: 
LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
-                Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-                Reduce Output Operator
-                  key expressions: _col0 (type: boolean), _col1 (type: 
bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: 
timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), 
_col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 
(type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: 
tinyint)
-                  sort order: +++++++++++++++
-                  Reduce Sink Vectorization:
-                      className: VectorReduceSinkOperator
-                      native: false
-                      nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, 
No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, 
LazyBinarySerDe for values IS true
-                      nativeConditionsNotMet: hive.execution.engine mr IN 
[tez, spark] IS false
-                  Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-                  TopN Hash Memory Usage: 0.1
-      Execution mode: vectorized
-      Map Vectorization:
-          enabled: true
-          enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS 
true
-          inputFormatFeatureSupport: []
-          featureSupportInUse: []
-          inputFileFormats: 
org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
-          allNative: false
-          usesVectorUDFAdaptor: false
-          vectorized: true
-          rowBatchContext:
-              dataColumnCount: 12
-              includeColumns: [0, 1, 2, 3, 5, 6, 7, 8, 9, 10]
-              dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, 
cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, 
ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, 
cboolean2:boolean
-              partitionColumnCount: 0
-              scratchColumnTypeNames: [double, bigint, bigint, bigint, bigint, 
bigint, bigint, bigint, bigint, bigint, bigint]
-      Reduce Vectorization:
-          enabled: false
-          enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
-          enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS 
false
-      Reduce Operator Tree:
-        Select Operator
-          expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 
(type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: 
tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: 
string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), 
KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), 
KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), 
KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), 
KEY.reducesinkkey14 (type: tinyint)
-          outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, 
_col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
-          Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE 
Column stats: NONE
-          Limit
-            Number of rows: 25
-            Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE 
Column stats: NONE
-            File Output Operator
-              compressed: false
-              Statistics: Num rows: 25 Data size: 300 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: 25
-      Processor Tree:
-        ListSink
-
-PREHOOK: query: SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > -15)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > -15)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-NULL   -2118149242     -7196   56      1969-12-31 15:59:50.462 NULL    
-4236298484     0       7196    -56     -39     -15242201945432 NULL    -56     0
-NULL   -2121399625     -7196   27      1969-12-31 15:59:50.046 NULL    
-4242799250     0       7196    -27     -10     -15265591701500 NULL    -27     0
-NULL   -2124802690     -7196   -6      1969-12-31 15:59:57.92  NULL    
-4249605380     0       7196    6       23      -15290080157240 NULL    6       0
-NULL   -2128720310     -7196   -52     1969-12-31 15:59:45.978 NULL    
-4257440620     0       7196    52      69      -15318271350760 NULL    52      0
-NULL   -2132232110     -200    60      1969-12-31 15:59:47.019 NULL    
-4264464220     -200    200     -60     -43     -426446422000   NULL    -60     0
-NULL   -2132536965     -7196   9       1969-12-31 15:59:46     NULL    
-4265073930     0       7196    -9      8       -15345736000140 NULL    -9      0
-NULL   -2135141157     -7196   50      1969-12-31 15:59:50.192 NULL    
-4270282314     0       7196    -50     -33     -15364475765772 NULL    -50     0
-NULL   -2137537679     -7196   -25     1969-12-31 15:59:50.136 NULL    
-4275075358     0       7196    25      42      -15381721138084 NULL    25      0
-NULL   -2145481991     -7196   56      1969-12-31 15:59:55.667 NULL    
-4290963982     0       7196    -56     -39     -15438888407236 NULL    -56     0
-NULL   NULL    -200    -36     1969-12-31 15:59:57.241 NULL    NULL    -200    
200     36      53      NULL    NULL    36      0
-NULL   NULL    -200    -43     1969-12-31 15:59:53.783 NULL    NULL    -200    
200     43      60      NULL    NULL    43      0
-NULL   NULL    -200    -58     1969-12-31 15:59:51.115 NULL    NULL    -200    
200     58      75      NULL    NULL    58      0
-NULL   NULL    -200    22      1969-12-31 15:59:50.109 NULL    NULL    -200    
200     -22     -5      NULL    NULL    -22     0
-NULL   NULL    -200    3       1969-12-31 15:59:50.489 NULL    NULL    -200    
200     -3      14      NULL    NULL    -3      0
-NULL   NULL    -200    43      1969-12-31 15:59:57.003 NULL    NULL    -200    
200     -43     -26     NULL    NULL    -43     0
-NULL   NULL    -200    53      1969-12-31 15:59:49.46  NULL    NULL    -200    
200     -53     -36     NULL    NULL    -53     0
-NULL   NULL    -200    9       1969-12-31 15:59:44.108 NULL    NULL    -200    
200     -9      8       NULL    NULL    -9      0
-NULL   NULL    -7196   -38     1969-12-31 15:59:53.503 NULL    NULL    0       
7196    38      55      NULL    NULL    38      0
-NULL   NULL    -7196   -49     1969-12-31 15:59:51.009 NULL    NULL    0       
7196    49      66      NULL    NULL    49      0
-NULL   NULL    -7196   -49     1969-12-31 15:59:52.052 NULL    NULL    0       
7196    49      66      NULL    NULL    49      0
-NULL   NULL    -7196   -50     1969-12-31 15:59:52.424 NULL    NULL    0       
7196    50      67      NULL    NULL    50      0
-NULL   NULL    -7196   -61     1969-12-31 15:59:44.823 NULL    NULL    0       
7196    61      78      NULL    NULL    61      0
-NULL   NULL    -7196   1       1969-12-31 15:59:48.361 NULL    NULL    0       
7196    -1      16      NULL    NULL    -1      0
-NULL   NULL    -7196   14      1969-12-31 15:59:50.291 NULL    NULL    0       
7196    -14     3       NULL    NULL    -14     0
-NULL   NULL    -7196   22      1969-12-31 15:59:52.699 NULL    NULL    0       
7196    -22     -5      NULL    NULL    -22     0
-PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
-SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0.0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > 7.6850000000000005)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
-SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0.0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > 7.6850000000000005)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-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: alltypesparquet
-            Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-            TableScan Vectorization:
-                native: true
-            Filter Operator
-              Filter Vectorization:
-                  className: VectorFilterOperator
-                  native: true
-                  predicateExpression: FilterExprAndExpr(children: 
FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), 
FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, 
val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), 
FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), 
FilterStringColLikeStringScalar(col 7:string, pattern ss)), 
FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 
5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 
13:double, val 7.6850000000000005)(children: CastTimestampToDouble(col 
9:timestamp) -> 13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 
3569.0, col 5:double))))
-              predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) 
> 7.6850000000000005) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) 
<= 0.0) or (UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and 
(ctinyint <> 0)) (type: boolean)
-              Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-              Select Operator
-                expressions: cboolean1 (type: boolean), cbigint (type: 
bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 
(type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), 
(UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), 
(- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), 
(cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % 
UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- 
ctinyint) % ctinyint) (type: tinyint)
-                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, 
_col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
-                Select Vectorization:
-                    className: VectorSelectOperator
-                    native: true
-                    projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 
17, 19, 20, 18, 21, 23]
-                    selectExpressions: LongColAddLongColumn(col 3:bigint, col 
3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: 
col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, 
LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 
18:int, val 17)(children: col 18:tinyint) -> 19:int, 
LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 
18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 
1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 
21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: 
LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
-                Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-                Reduce Output Operator
-                  key expressions: _col0 (type: boolean), _col1 (type: 
bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: 
timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), 
_col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 
(type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: 
tinyint)
-                  sort order: +++++++++++++++
-                  Reduce Sink Vectorization:
-                      className: VectorReduceSinkOperator
-                      native: false
-                      nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, 
No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, 
LazyBinarySerDe for values IS true
-                      nativeConditionsNotMet: hive.execution.engine mr IN 
[tez, spark] IS false
-                  Statistics: Num rows: 5461 Data size: 65532 Basic stats: 
COMPLETE Column stats: NONE
-                  TopN Hash Memory Usage: 0.1
-      Execution mode: vectorized
-      Map Vectorization:
-          enabled: true
-          enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS 
true
-          inputFormatFeatureSupport: []
-          featureSupportInUse: []
-          inputFileFormats: 
org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
-          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: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 
(type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: 
tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: 
string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), 
KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), 
KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), 
KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), 
KEY.reducesinkkey14 (type: tinyint)
-          outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, 
_col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
-          Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE 
Column stats: NONE
-          Limit
-            Number of rows: 25
-            Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE 
Column stats: NONE
-            File Output Operator
-              compressed: false
-              Statistics: Num rows: 25 Data size: 300 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: 25
-      Processor Tree:
-        ListSink
-
-PREHOOK: query: SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0.0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > 7.6850000000000005)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT cboolean1,
-       cbigint,
-       csmallint,
-       ctinyint,
-       ctimestamp1,
-       cstring1,
-       (cbigint + cbigint) as c1,
-       (csmallint % -257) as c2,
-       (-(csmallint)) as c3,
-       (-(ctinyint)) as c4,
-       ((-(ctinyint)) + 17) as c5,
-       (cbigint * (-(csmallint))) as c6,
-       (cint % csmallint) as c7,
-       (-(ctinyint)) as c8,
-       ((-(ctinyint)) % ctinyint) as c9
-FROM   alltypesparquet
-WHERE  ((ctinyint != 0)
-        AND (((ctimestamp1 <= 0.0)
-          OR ((ctinyint = cint)
-               OR (cstring2 LIKE 'ss')))
-          AND ((988888 < cdouble)
-              OR ((ctimestamp2 > 7.6850000000000005)
-                  AND (3569 >= cdouble)))))
-ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, 
c2, c3, c4, c5, c6, c7, c8, c9
-LIMIT 25
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-true   NULL    -14584  -7      1969-12-31 15:59:46.965 1cGVWH7n1QU     NULL    
-192    14584   7       24      NULL    5864    7       0
-true   NULL    -14739  4       1969-12-31 15:59:55.188 cvLH6Eat2yFsyy7p        
NULL    -90     14739   -4      13      NULL    8966    -4      0
-true   NULL    -14771  13      1969-12-31 15:59:58.839 821UdmGbkEf4j   NULL    
-122    14771   -13     4       NULL    12897   -13     0
-true   NULL    -15149  20      1969-12-31 15:59:46.575 1cGVWH7n1QU     NULL    
-243    15149   -20     -3      NULL    10520   -20     0
-true   NULL    -15344  48      1969-12-31 15:59:54.853 821UdmGbkEf4j   NULL    
-181    15344   -48     -31     NULL    13871   -48     0
-true   NULL    -15388  49      1969-12-31 15:59:58.545 cvLH6Eat2yFsyy7p        
NULL    -225    15388   -49     -32     NULL    3131    -49     0
-true   NULL    -15431  -11     1969-12-31 15:59:52.176 cvLH6Eat2yFsyy7p        
NULL    -11     15431   11      28      NULL    7586    11      0
-true   NULL    -15435  -21     1969-12-31 15:59:54.705 1cGVWH7n1QU     NULL    
-15     15435   21      38      NULL    6586    21      0
-true   NULL    -15450  -34     1969-12-31 15:59:55.681 cvLH6Eat2yFsyy7p        
NULL    -30     15450   34      51      NULL    5717    34      0
-true   NULL    -15478  7       1969-12-31 15:59:56.809 cvLH6Eat2yFsyy7p        
NULL    -58     15478   -7      10      NULL    7501    -7      0
-true   NULL    -15555  -2      1969-12-31 15:59:58.773 1cGVWH7n1QU     NULL    
-135    15555   2       19      NULL    9991    2       0
-true   NULL    -15659  -11     1969-12-31 15:59:48.466 cvLH6Eat2yFsyy7p        
NULL    -239    15659   11      28      NULL    12199   11      0
-true   NULL    -15711  -60     1969-12-31 15:59:53.115 821UdmGbkEf4j   NULL    
-34     15711   60      77      NULL    7646    60      0
-true   NULL    -15770  -23     1969-12-31 15:59:56.822 1cGVWH7n1QU     NULL    
-93     15770   23      40      NULL    4926    23      0
-true   NULL    -15794  53      1969-12-31 15:59:53.749 cvLH6Eat2yFsyy7p        
NULL    -117    15794   -53     -36     NULL    4351    -53     0
-true   NULL    -15892  29      1969-12-31 15:59:57.937 821UdmGbkEf4j   NULL    
-215    15892   -29     -12     NULL    171     -29     0
-true   NULL    -15899  50      1969-12-31 15:59:46.926 821UdmGbkEf4j   NULL    
-222    15899   -50     -33     NULL    10210   -50     0
-true   NULL    -15920  -64     1969-12-31 15:59:51.859 cvLH6Eat2yFsyy7p        
NULL    -243    15920   64      81      NULL    6687    64      0
-true   NULL    -15922  -17     1969-12-31 15:59:46.164 821UdmGbkEf4j   NULL    
-245    15922   17      34      NULL    10851   17      0
-true   NULL    -15980  -6      1969-12-31 15:59:54.84  1cGVWH7n1QU     NULL    
-46     15980   6       23      NULL    14836   6       0
-true   NULL    -16017  -21     1969-12-31 15:59:44.02  821UdmGbkEf4j   NULL    
-83     16017   21      38      NULL    2282    21      0
-true   NULL    -16036  -15     1969-12-31 15:59:58.681 1cGVWH7n1QU     NULL    
-102    16036   15      32      NULL    7928    15      0
-true   NULL    -16076  59      1969-12-31 15:59:55.023 821UdmGbkEf4j   NULL    
-142    16076   -59     -42     NULL    7907    -59     0
-true   NULL    -16122  50      1969-12-31 15:59:51.608 1cGVWH7n1QU     NULL    
-188    16122   -50     -33     NULL    1828    -50     0
-true   NULL    -16153  35      1969-12-31 15:59:52.036 1cGVWH7n1QU     NULL    
-219    16153   -35     -18     NULL    14817   -35     0

http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out 
b/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
deleted file mode 100644
index caa4bff..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
+++ /dev/null
@@ -1,409 +0,0 @@
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 10)
-             AND (ctimestamp2 != 16)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 10)
-             AND (ctimestamp2 != 16)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-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: alltypesparquet
-            Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-            TableScan Vectorization:
-                native: true
-                vectorizationSchemaColumns: [0:ctinyint:tinyint, 
1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 
5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 
8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 
11:cboolean2:boolean, 
12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
-            Filter Operator
-              Filter Vectorization:
-                  className: VectorFilterOperator
-                  native: true
-                  predicateExpression: FilterExprOrExpr(children: 
FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), 
FilterDoubleColLessEqualDoubleScalar(col 13:double, val 10.0)(children: 
CastTimestampToDouble(col 8:timestamp) -> 13:double), 
FilterDoubleColNotEqualDoubleScalar(col 13:double, val 16.0)(children: 
CastTimestampToDouble(col 9:timestamp) -> 13:double)), 
FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), 
FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), 
FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
-              predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or 
(cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 
10.0) and (UDFToDouble(ctimestamp2) <> 16.0))) (type: boolean)
-              Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-              Select Operator
-                expressions: ctimestamp1 (type: timestamp), cdouble (type: 
double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: 
float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), 
(cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), 
((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: 
double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 
- cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
-                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, 
_col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
-                Select Vectorization:
-                    className: VectorSelectOperator
-                    native: true
-                    projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 
17, 19, 16, 18, 20, 22]
-                    selectExpressions: DoubleColUnaryMinus(col 5:double) -> 
13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 
14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 
15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: 
CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, 
DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: 
DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) 
-> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, 
DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 
18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, 
DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: 
DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 
23:float) -> 22:double
-                Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-                Reduce Output Operator
-                  key expressions: _col0 (type: timestamp), _col1 (type: 
double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), 
_col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: 
float), _col9 (type: double), _col10 (type: double), _col11 (type: float), 
_col12 (type: float), _col13 (type: double)
-                  sort order: ++++++++++++++
-                  Reduce Sink Vectorization:
-                      className: VectorReduceSinkOperator
-                      native: false
-                      nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, 
No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, 
LazyBinarySerDe for values IS true
-                      nativeConditionsNotMet: hive.execution.engine mr IN 
[tez, spark] IS false
-                  Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-                  TopN Hash Memory Usage: 0.1
-      Execution mode: vectorized
-      Map Vectorization:
-          enabled: true
-          enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS 
true
-          inputFormatFeatureSupport: []
-          featureSupportInUse: []
-          inputFileFormats: 
org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
-          allNative: false
-          usesVectorUDFAdaptor: false
-          vectorized: true
-          rowBatchContext:
-              dataColumnCount: 12
-              includeColumns: [2, 3, 4, 5, 6, 7, 8, 9, 10]
-              dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, 
cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, 
ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, 
cboolean2:boolean
-              partitionColumnCount: 0
-              scratchColumnTypeNames: [double, double, double, double, double, 
double, double, double, double, double, double]
-      Reduce Vectorization:
-          enabled: false
-          enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
-          enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS 
false
-      Reduce Operator Tree:
-        Select Operator
-          expressions: KEY.reducesinkkey0 (type: timestamp), 
KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), 
KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), 
KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), 
KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), 
KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), 
KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), 
KEY.reducesinkkey13 (type: double)
-          outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, 
_col7, _col8, _col9, _col10, _col11, _col12, _col13
-          Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE 
Column stats: NONE
-          Limit
-            Number of rows: 20
-            Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE 
Column stats: NONE
-            File Output Operator
-              compressed: false
-              Statistics: Num rows: 20 Data size: 240 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: 20
-      Processor Tree:
-        ListSink
-
-PREHOOK: query: SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 10)
-             AND (ctimestamp2 != 16)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 10)
-             AND (ctimestamp2 != 16)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-1969-12-31 15:59:30.929        -200.0  NULL    NULL    12.0    200.0   
-5438.15        51400.0 NULL    2.128824065E9   200.0   -13.389 -12.0   NULL
-1969-12-31 15:59:30.929        -200.0  NULL    NULL    42.0    200.0   
-5438.15        51400.0 NULL    -5.78935585E8   200.0   -43.389 -42.0   NULL
-1969-12-31 15:59:30.929        -7196.0 NULL    NULL    49.0    7196.0  
1557.8500000000004      1849372.0       NULL    1.948230809E9   7196.0  -50.389 
-49.0   NULL
-1969-12-31 15:59:30.929        15601.0 NULL    NULL    -54.0   -15601.0        
-21239.15       -4009457.0      NULL    -1.114185408E9  -15601.0        52.611  
54.0    NULL
-1969-12-31 15:59:43.628        -200.0  NULL    NULL    23.0    200.0   
-5438.15        51400.0 NULL    2.034056161E9   200.0   -24.389 -23.0   NULL
-1969-12-31 15:59:43.637        -7196.0 NULL    NULL    -44.0   7196.0  
1557.8500000000004      1849372.0       NULL    1.100301451E9   7196.0  42.611  
44.0    NULL
-1969-12-31 15:59:43.64 -7196.0 NULL    NULL    -51.0   7196.0  
1557.8500000000004      1849372.0       NULL    -1.339157623E9  7196.0  49.611  
51.0    NULL
-1969-12-31 15:59:43.661        -200.0  NULL    NULL    13.0    200.0   
-5438.15        51400.0 NULL    -6.8063459E7    200.0   -14.389 -13.0   NULL
-1969-12-31 15:59:43.676        -200.0  NULL    NULL    -10.0   200.0   
-5438.15        51400.0 NULL    8.34296111E8    200.0   8.611   10.0    NULL
-1969-12-31 15:59:43.705        15601.0 NULL    NULL    -12.0   -15601.0        
-21239.15       -4009457.0      NULL    5.95398978E8    -15601.0        10.611  
12.0    NULL
-1969-12-31 15:59:43.709        15601.0 NULL    NULL    61.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.55652257E8   -15601.0        -62.389 
-61.0   NULL
-1969-12-31 15:59:43.72 -200.0  NULL    NULL    -18.0   200.0   -5438.15        
51400.0 NULL    1.809037075E9   200.0   16.611  18.0    NULL
-1969-12-31 15:59:43.721        15601.0 NULL    NULL    57.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.465672807E9  -15601.0        -58.389 
-57.0   NULL
-1969-12-31 15:59:43.749        -7196.0 NULL    NULL    -39.0   7196.0  
1557.8500000000004      1849372.0       NULL    3.96436076E8    7196.0  37.611  
39.0    NULL
-1969-12-31 15:59:43.771        15601.0 NULL    NULL    49.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.10733693E9   -15601.0        -50.389 
-49.0   NULL
-1969-12-31 15:59:43.773        -200.0  NULL    NULL    -24.0   200.0   
-5438.15        51400.0 NULL    -1.046049502E9  200.0   22.611  24.0    NULL
-1969-12-31 15:59:43.782        -7196.0 NULL    NULL    51.0    7196.0  
1557.8500000000004      1849372.0       NULL    -1.607339819E9  7196.0  -52.389 
-51.0   NULL
-1969-12-31 15:59:43.783        -200.0  NULL    NULL    -11.0   200.0   
-5438.15        51400.0 NULL    1.2116287E7     200.0   9.611   11.0    NULL
-1969-12-31 15:59:43.807        -7196.0 NULL    NULL    42.0    7196.0  
1557.8500000000004      1849372.0       NULL    -5.98226333E8   7196.0  -43.389 
-42.0   NULL
-1969-12-31 15:59:43.82 -7196.0 NULL    NULL    -30.0   7196.0  
1557.8500000000004      1849372.0       NULL    1.329550715E9   7196.0  28.611  
30.0    NULL
-PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
-SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 12.503)
-             AND (ctimestamp2 != 11.998)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
-SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 12.503)
-             AND (ctimestamp2 != 11.998)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-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: alltypesparquet
-            Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-            TableScan Vectorization:
-                native: true
-            Filter Operator
-              Filter Vectorization:
-                  className: VectorFilterOperator
-                  native: true
-                  predicateExpression: FilterExprOrExpr(children: 
FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), 
FilterDoubleColLessEqualDoubleScalar(col 13:double, val 12.503)(children: 
CastTimestampToDouble(col 8:timestamp) -> 13:double), 
FilterDoubleColNotEqualDoubleScalar(col 13:double, val 11.998)(children: 
CastTimestampToDouble(col 9:timestamp) -> 13:double)), 
FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), 
FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), 
FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
-              predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or 
(cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 
12.503) and (UDFToDouble(ctimestamp2) <> 11.998))) (type: boolean)
-              Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-              Select Operator
-                expressions: ctimestamp1 (type: timestamp), cdouble (type: 
double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: 
float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), 
(cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), 
((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: 
double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 
- cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
-                outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, 
_col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
-                Select Vectorization:
-                    className: VectorSelectOperator
-                    native: true
-                    projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 
17, 19, 16, 18, 20, 22]
-                    selectExpressions: DoubleColUnaryMinus(col 5:double) -> 
13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 
14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 
15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: 
CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, 
DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: 
DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) 
-> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, 
DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 
18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, 
DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: 
DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 
23:float) -> 22:double
-                Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-                Reduce Output Operator
-                  key expressions: _col0 (type: timestamp), _col1 (type: 
double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), 
_col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: 
float), _col9 (type: double), _col10 (type: double), _col11 (type: float), 
_col12 (type: float), _col13 (type: double)
-                  sort order: ++++++++++++++
-                  Reduce Sink Vectorization:
-                      className: VectorReduceSinkOperator
-                      native: false
-                      nativeConditionsMet: 
hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, 
No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, 
LazyBinarySerDe for values IS true
-                      nativeConditionsNotMet: hive.execution.engine mr IN 
[tez, spark] IS false
-                  Statistics: Num rows: 12288 Data size: 147456 Basic stats: 
COMPLETE Column stats: NONE
-                  TopN Hash Memory Usage: 0.1
-      Execution mode: vectorized
-      Map Vectorization:
-          enabled: true
-          enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS 
true
-          inputFormatFeatureSupport: []
-          featureSupportInUse: []
-          inputFileFormats: 
org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
-          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: KEY.reducesinkkey0 (type: timestamp), 
KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), 
KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), 
KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), 
KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), 
KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), 
KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), 
KEY.reducesinkkey13 (type: double)
-          outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, 
_col7, _col8, _col9, _col10, _col11, _col12, _col13
-          Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE 
Column stats: NONE
-          Limit
-            Number of rows: 20
-            Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE 
Column stats: NONE
-            File Output Operator
-              compressed: false
-              Statistics: Num rows: 20 Data size: 240 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: 20
-      Processor Tree:
-        ListSink
-
-PREHOOK: query: SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 12.503)
-             AND (ctimestamp2 != 11.998)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT ctimestamp1,
-       cdouble,
-       cboolean1,
-       cstring1,
-       cfloat,
-       (-(cdouble)) as c1,
-       (-5638.15 - cdouble) as c2,
-       (cdouble * -257) as c3,
-       (cint + cfloat) as c4,
-       ((-(cdouble)) + cbigint) as c5,
-       (-(cdouble)) as c6,
-       (-1.389 - cfloat) as c7,
-       (-(cfloat)) as c8,
-       ((-5638.15 - cdouble) + (cint + cfloat)) as c9
-FROM   alltypesparquet
-WHERE  (((cstring2 IS NOT NULL)
-         AND ((ctimestamp1 <= 12.503)
-             AND (ctimestamp2 != 11.998)))
-        OR ((cfloat < -6432)
-            OR ((cboolean1 IS NOT NULL)
-                AND (cdouble = 988888))))
-ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, 
c5, c6, c7, c8, c9
-LIMIT 20
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-1969-12-31 15:59:30.929        -200.0  NULL    NULL    12.0    200.0   
-5438.15        51400.0 NULL    2.128824065E9   200.0   -13.389 -12.0   NULL
-1969-12-31 15:59:30.929        -200.0  NULL    NULL    42.0    200.0   
-5438.15        51400.0 NULL    -5.78935585E8   200.0   -43.389 -42.0   NULL
-1969-12-31 15:59:30.929        -7196.0 NULL    NULL    49.0    7196.0  
1557.8500000000004      1849372.0       NULL    1.948230809E9   7196.0  -50.389 
-49.0   NULL
-1969-12-31 15:59:30.929        15601.0 NULL    NULL    -54.0   -15601.0        
-21239.15       -4009457.0      NULL    -1.114185408E9  -15601.0        52.611  
54.0    NULL
-1969-12-31 15:59:43.628        -200.0  NULL    NULL    23.0    200.0   
-5438.15        51400.0 NULL    2.034056161E9   200.0   -24.389 -23.0   NULL
-1969-12-31 15:59:43.637        -7196.0 NULL    NULL    -44.0   7196.0  
1557.8500000000004      1849372.0       NULL    1.100301451E9   7196.0  42.611  
44.0    NULL
-1969-12-31 15:59:43.64 -7196.0 NULL    NULL    -51.0   7196.0  
1557.8500000000004      1849372.0       NULL    -1.339157623E9  7196.0  49.611  
51.0    NULL
-1969-12-31 15:59:43.661        -200.0  NULL    NULL    13.0    200.0   
-5438.15        51400.0 NULL    -6.8063459E7    200.0   -14.389 -13.0   NULL
-1969-12-31 15:59:43.676        -200.0  NULL    NULL    -10.0   200.0   
-5438.15        51400.0 NULL    8.34296111E8    200.0   8.611   10.0    NULL
-1969-12-31 15:59:43.705        15601.0 NULL    NULL    -12.0   -15601.0        
-21239.15       -4009457.0      NULL    5.95398978E8    -15601.0        10.611  
12.0    NULL
-1969-12-31 15:59:43.709        15601.0 NULL    NULL    61.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.55652257E8   -15601.0        -62.389 
-61.0   NULL
-1969-12-31 15:59:43.72 -200.0  NULL    NULL    -18.0   200.0   -5438.15        
51400.0 NULL    1.809037075E9   200.0   16.611  18.0    NULL
-1969-12-31 15:59:43.721        15601.0 NULL    NULL    57.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.465672807E9  -15601.0        -58.389 
-57.0   NULL
-1969-12-31 15:59:43.749        -7196.0 NULL    NULL    -39.0   7196.0  
1557.8500000000004      1849372.0       NULL    3.96436076E8    7196.0  37.611  
39.0    NULL
-1969-12-31 15:59:43.771        15601.0 NULL    NULL    49.0    -15601.0        
-21239.15       -4009457.0      NULL    -1.10733693E9   -15601.0        -50.389 
-49.0   NULL
-1969-12-31 15:59:43.773        -200.0  NULL    NULL    -24.0   200.0   
-5438.15        51400.0 NULL    -1.046049502E9  200.0   22.611  24.0    NULL
-1969-12-31 15:59:43.782        -7196.0 NULL    NULL    51.0    7196.0  
1557.8500000000004      1849372.0       NULL    -1.607339819E9  7196.0  -52.389 
-51.0   NULL
-1969-12-31 15:59:43.783        -200.0  NULL    NULL    -11.0   200.0   
-5438.15        51400.0 NULL    1.2116287E7     200.0   9.611   11.0    NULL
-1969-12-31 15:59:43.807        -7196.0 NULL    NULL    42.0    7196.0  
1557.8500000000004      1849372.0       NULL    -5.98226333E8   7196.0  -43.389 
-42.0   NULL
-1969-12-31 15:59:43.82 -7196.0 NULL    NULL    -30.0   7196.0  
1557.8500000000004      1849372.0       NULL    1.329550715E9   7196.0  28.611  
30.0    NULL

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