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Posted to commits@hive.apache.org by xu...@apache.org on 2017/11/30 03:18:57 UTC
[21/29] hive git commit: Revert "HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)"
http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
deleted file mode 100644
index 8f26d41..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
+++ /dev/null
@@ -1,536 +0,0 @@
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT cfloat,
- cstring1,
- cint,
- ctimestamp1,
- cdouble,
- cbigint,
- (cfloat / ctinyint),
- (cint % cbigint),
- (-(cdouble)),
- (cdouble + (cfloat / ctinyint)),
- (cdouble / cint),
- (-((-(cdouble)))),
- (9763215.5639 % cbigint),
- (2563.58 + (-((-(cdouble)))))
-FROM alltypesparquet
-WHERE (((cbigint > -23)
- AND ((cdouble != 988888)
- OR (cint > -863.257)))
- AND ((ctinyint >= 33)
- OR ((csmallint >= cbigint)
- OR (cfloat = cdouble))))
-ORDER BY cbigint, cfloat
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT cfloat,
- cstring1,
- cint,
- ctimestamp1,
- cdouble,
- cbigint,
- (cfloat / ctinyint),
- (cint % cbigint),
- (-(cdouble)),
- (cdouble + (cfloat / ctinyint)),
- (cdouble / cint),
- (-((-(cdouble)))),
- (9763215.5639 % cbigint),
- (2563.58 + (-((-(cdouble)))))
-FROM alltypesparquet
-WHERE (((cbigint > -23)
- AND ((cdouble != 988888)
- OR (cint > -863.257)))
- AND ((ctinyint >= 33)
- OR ((csmallint >= cbigint)
- OR (cfloat = cdouble))))
-ORDER BY cbigint, cfloat
-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: FilterLongColGreaterLongScalar(col 3:bigint, val -23), FilterExprOrExpr(children: FilterDoubleColNotEqualDoubleScalar(col 5:double, val 988888.0), FilterDecimalColGreaterDecimalScalar(col 13:decimal(13,3), val -863.257)(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3))), FilterExprOrExpr(children: FilterLongColGreaterEqualLongScalar(col 0:tinyint, val 33), FilterLongColGreaterEqualLongColumn(col 1:bigint, col 3:bigint)(children: col 1:smallint), FilterDoubleColEqualDoubleColumn(col 4:double, col 5:double)(children: col 4:float)))
- predicate: (((cdouble <> 988888.0) or (CAST( cint AS decimal(13,3)) > -863.257)) and ((ctinyint >= 33) or (UDFToLong(csmallint) >= cbigint) or (UDFToDouble(cfloat) = cdouble)) and (cbigint > -23)) (type: boolean)
- Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: cfloat (type: float), cstring1 (type: string), cint (type: int), ctimestamp1 (type: timestamp), cdouble (type: double), cbigint (type: bigint), (UDFToDouble(cfloat) / UDFToDouble(ctinyint)) (type: double), (UDFToLong(cint) % cbigint) (type: bigint), (- cdouble) (type: double), (cdouble + (UDFToDouble(cfloat) / UDFToDouble(ctinyint))) (type: double), (cdouble / UDFToDouble(cint)) (type: double), (- (- cdouble)) (type: double), (9763215.5639 % CAST( cbigint AS decimal(19,0))) (type: decimal(11,4)), (2563.58 + (- (- cdouble))) (type: double)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
- Select Vectorization:
- className: VectorSelectOperator
- native: true
- projectedOutputColumnNums: [4, 6, 2, 8, 5, 3, 15, 16, 14, 17, 19, 20, 22, 18]
- selectExpressions: DoubleColDivideDoubleColumn(col 4:double, col 14:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 14:double) -> 15:double, LongColModuloLongColumn(col 2:bigint, col 3:bigint)(children: col 2:int) -> 16:bigint, DoubleColUnaryMinus(col 5:double) -> 14:double, DoubleColAddDoubleColumn(col 5:double, col 18:double)(children: DoubleColDivideDoubleColumn(col 4:double, col 17:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 17:double) -> 18:double) -> 17:double, DoubleColDivideDoubleColumn(col 5:double, col 18:double)(children: CastLongToDouble(col 2:int) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 20:double, DecimalScalarModuloDecimalColumn(val 9763215.5639, col 21:decimal(19,0))(children: CastLongToDecimal(col 3:bigint) -> 21:decimal(19,0)) -> 22:decimal(11,4), DoubleScalarAddDoubleColumn(val 2563.58, col 23:double)(children: DoubleColUna
ryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 23:double) -> 18:double
- Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- key expressions: _col5 (type: bigint), _col0 (type: float)
- 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: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col1 (type: string), _col2 (type: int), _col3 (type: timestamp), _col4 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: decimal(11,4)), _col13 (type: double)
- 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, 4, 5, 6, 8]
- 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: [decimal(13,3), double, double, bigint, double, double, double, double, decimal(19,0), decimal(11,4), 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.reducesinkkey1 (type: float), VALUE._col0 (type: string), VALUE._col1 (type: int), VALUE._col2 (type: timestamp), VALUE._col3 (type: double), KEY.reducesinkkey0 (type: bigint), VALUE._col4 (type: double), VALUE._col5 (type: bigint), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: decimal(11,4)), VALUE._col11 (type: double)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
- Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 4096 Data size: 49152 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: -1
- Processor Tree:
- ListSink
-
-PREHOOK: query: SELECT cfloat,
- cstring1,
- cint,
- ctimestamp1,
- cdouble,
- cbigint,
- (cfloat / ctinyint),
- (cint % cbigint),
- (-(cdouble)),
- (cdouble + (cfloat / ctinyint)),
- (cdouble / cint),
- (-((-(cdouble)))),
- (9763215.5639 % cbigint),
- (2563.58 + (-((-(cdouble)))))
-FROM alltypesparquet
-WHERE (((cbigint > -23)
- AND ((cdouble != 988888)
- OR (cint > -863.257)))
- AND ((ctinyint >= 33)
- OR ((csmallint >= cbigint)
- OR (cfloat = cdouble))))
-ORDER BY cbigint, cfloat
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT cfloat,
- cstring1,
- cint,
- ctimestamp1,
- cdouble,
- cbigint,
- (cfloat / ctinyint),
- (cint % cbigint),
- (-(cdouble)),
- (cdouble + (cfloat / ctinyint)),
- (cdouble / cint),
- (-((-(cdouble)))),
- (9763215.5639 % cbigint),
- (2563.58 + (-((-(cdouble)))))
-FROM alltypesparquet
-WHERE (((cbigint > -23)
- AND ((cdouble != 988888)
- OR (cint > -863.257)))
- AND ((ctinyint >= 33)
- OR ((csmallint >= cbigint)
- OR (cfloat = cdouble))))
-ORDER BY cbigint, cfloat
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-33.0 NULL NULL 1969-12-31 15:59:45.163 -200.0 766974126 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-33.0 NULL NULL 1969-12-31 15:59:49.489 -200.0 1531926845 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-33.0 NULL NULL 1969-12-31 15:59:54.68 15601.0 2094164536 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-33.0 NULL NULL 1969-12-31 16:00:04.396 -7196.0 1409016642 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-33.0 NULL NULL 1969-12-31 16:00:04.631 15601.0 739625813 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-33.0 NULL NULL 1969-12-31 16:00:15.198 -200.0 29795288 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-33.0 NULL NULL 1969-12-31 16:00:15.99 -7196.0 1994545529 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-34.0 NULL NULL 1969-12-31 15:59:44.179 15601.0 1563271651 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-34.0 NULL NULL 1969-12-31 15:59:45.717 15601.0 1425488085 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-34.0 NULL NULL 1969-12-31 15:59:48.473 -200.0 144591485 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-34.0 NULL NULL 1969-12-31 15:59:53.981 -7196.0 131852675 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-34.0 NULL NULL 1969-12-31 15:59:54.145 -7196.0 9288869 1.0 NULL 7196.0 -7195.0 NULL -7196.0 474346.5639 -4632.42
-34.0 NULL NULL 1969-12-31 15:59:54.821 15601.0 1736691817 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-34.0 NULL NULL 1969-12-31 16:00:00.82 -7196.0 221369308 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-34.0 NULL NULL 1969-12-31 16:00:01.232 -200.0 1961389522 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-34.0 NULL NULL 1969-12-31 16:00:04.36 -7196.0 1412648789 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-34.0 NULL NULL 1969-12-31 16:00:07.045 15601.0 709756299 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-34.0 NULL NULL 1969-12-31 16:00:09.65 -200.0 1990585322 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-34.0 NULL NULL 1969-12-31 16:00:12.502 -7196.0 1539208529 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-34.0 NULL NULL 1969-12-31 16:00:13.955 15601.0 47514726 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-34.0 NULL NULL 1969-12-31 16:00:14.909 -200.0 26234080 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-35.0 NULL NULL 1969-12-31 15:59:48.022 -7196.0 523231898 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-35.0 NULL NULL 1969-12-31 15:59:50.803 15601.0 456583571 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-35.0 NULL NULL 1969-12-31 15:59:51.86 -7196.0 1667895530 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-35.0 NULL NULL 1969-12-31 15:59:51.882 -200.0 1045814182 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-35.0 NULL NULL 1969-12-31 16:00:00.546 -200.0 1537595879 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-35.0 NULL NULL 1969-12-31 16:00:00.9 -200.0 880598992 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-35.0 NULL NULL 1969-12-31 16:00:01.792 -7196.0 1587509603 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-35.0 NULL NULL 1969-12-31 16:00:05.007 15601.0 2123136080 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-35.0 NULL NULL 1969-12-31 16:00:07.613 -7196.0 2000277321 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-35.0 NULL NULL 1969-12-31 16:00:08.58 -200.0 1321091454 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-35.0 NULL NULL 1969-12-31 16:00:11.356 -7196.0 1004273023 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-35.0 NULL NULL 1969-12-31 16:00:14.084 -200.0 1974986508 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-36.0 NULL NULL 1969-12-31 15:59:46.019 -7196.0 1086107721 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-36.0 NULL NULL 1969-12-31 15:59:48.771 15601.0 503569096 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-36.0 NULL NULL 1969-12-31 15:59:55.218 15601.0 445347927 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-36.0 NULL NULL 1969-12-31 15:59:58.752 15601.0 4757615 1.0 NULL -15601.0 15602.0 NULL 15601.0 247985.5639 18164.58
-36.0 NULL NULL 1969-12-31 16:00:00.865 -7196.0 1613629130 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-36.0 NULL NULL 1969-12-31 16:00:05.234 15601.0 873370057 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-36.0 NULL NULL 1969-12-31 16:00:06.51 -7196.0 1141844958 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-36.0 NULL NULL 1969-12-31 16:00:07.504 -7196.0 787178337 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-36.0 NULL NULL 1969-12-31 16:00:10.467 -200.0 1284716338 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 15:59:45.102 -7196.0 106550057 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-37.0 NULL NULL 1969-12-31 15:59:51.566 -200.0 1829107401 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 15:59:52.832 15601.0 676613895 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-37.0 NULL NULL 1969-12-31 15:59:57.118 -200.0 248910079 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 15:59:58.129 -200.0 1838442362 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 16:00:01.979 15601.0 2144325818 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-37.0 NULL NULL 1969-12-31 16:00:05.356 -200.0 1248357837 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 16:00:08.692 -200.0 448909712 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 16:00:09.907 -200.0 1256255128 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 16:00:09.934 -200.0 1820006290 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-37.0 NULL NULL 1969-12-31 16:00:11.091 15601.0 398128194 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-37.0 NULL NULL 1969-12-31 16:00:11.309 15601.0 1251122304 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-37.0 NULL NULL 1969-12-31 16:00:12.712 15601.0 980331206 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-37.0 NULL NULL 1969-12-31 16:00:14.674 15601.0 1217409914 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 15:59:46.966 -7196.0 1030289173 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-38.0 NULL NULL 1969-12-31 15:59:48.017 -200.0 428518739 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 15:59:48.059 -7196.0 799787406 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-38.0 NULL NULL 1969-12-31 15:59:49.567 -200.0 1576772382 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 15:59:51.77 -200.0 835189885 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 15:59:53.592 -200.0 1922447714 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 15:59:53.834 15601.0 951445775 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 15:59:56.858 15601.0 954040345 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 15:59:57.048 -7196.0 806488245 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
-38.0 NULL NULL 1969-12-31 15:59:58.015 15601.0 1202434039 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 16:00:05.29 -200.0 679959712 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 16:00:08.703 -200.0 1479847097 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-38.0 NULL NULL 1969-12-31 16:00:13.506 15601.0 1524423680 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 16:00:14.648 15601.0 1927566094 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-38.0 NULL NULL 1969-12-31 16:00:16.279 15601.0 299342203 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-39.0 NULL NULL 1969-12-31 15:59:45.218 15601.0 923495645 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
-39.0 NULL NULL 1969-12-31 15:59:45.229 -200.0 1564077167 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-39.0 NULL NULL 1969-12-31 15:59:46.368 -200.0 112950540 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
-39.0 NULL NULL 1969-12-31 15:59:47.616 15601.0 333745628 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
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http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
deleted file mode 100644
index ebef240..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
+++ /dev/null
@@ -1,193 +0,0 @@
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT AVG(csmallint),
- (AVG(csmallint) % -563),
- (AVG(csmallint) + 762),
- SUM(cfloat),
- VAR_POP(cbigint),
- (-(VAR_POP(cbigint))),
- (SUM(cfloat) - AVG(csmallint)),
- COUNT(*),
- (-((SUM(cfloat) - AVG(csmallint)))),
- (VAR_POP(cbigint) - 762),
- MIN(ctinyint),
- ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
- AVG(cdouble),
- (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
-FROM alltypesparquet
-WHERE (((ctimestamp1 < ctimestamp2)
- AND ((cstring2 LIKE 'b%')
- AND (cfloat <= -5638.15)))
- OR ((cdouble < ctinyint)
- AND ((-10669 != ctimestamp2)
- OR (359 > cint))))
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT AVG(csmallint),
- (AVG(csmallint) % -563),
- (AVG(csmallint) + 762),
- SUM(cfloat),
- VAR_POP(cbigint),
- (-(VAR_POP(cbigint))),
- (SUM(cfloat) - AVG(csmallint)),
- COUNT(*),
- (-((SUM(cfloat) - AVG(csmallint)))),
- (VAR_POP(cbigint) - 762),
- MIN(ctinyint),
- ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
- AVG(cdouble),
- (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
-FROM alltypesparquet
-WHERE (((ctimestamp1 < ctimestamp2)
- AND ((cstring2 LIKE 'b%')
- AND (cfloat <= -5638.15)))
- OR ((cdouble < ctinyint)
- AND ((-10669 != ctimestamp2)
- OR (359 > cint))))
-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: FilterTimestampColLessTimestampColumn(col 8:timestamp, col 9:timestamp), FilterStringColLikeStringScalar(col 7:string, pattern b%), FilterDoubleColLessEqualDoubleScalar(col 4:float, val -5638.14990234375)), FilterExprAndExpr(children: FilterDoubleColLessDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterExprOrExpr(children: FilterDoubleScalarNotEqualDoubleColumn(val -10669.0, col 13:double)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterLongScalarGreaterLongColumn(val 359, col 2:int))))
- predicate: (((cdouble < UDFToDouble(ctinyint)) and ((-10669.0 <> UDFToDouble(ctimestamp2)) or (359 > cint))) or ((ctimestamp1 < ctimestamp2) and (cstring2 like 'b%') and (cfloat <= -5638.15))) (type: boolean)
- Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: ctinyint (type: tinyint), csmallint (type: smallint), cbigint (type: bigint), cfloat (type: float), cdouble (type: double)
- outputColumnNames: ctinyint, csmallint, cbigint, cfloat, cdouble
- Select Vectorization:
- className: VectorSelectOperator
- native: true
- projectedOutputColumnNums: [0, 1, 3, 4, 5]
- Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
- Group By Operator
- aggregations: avg(csmallint), sum(cfloat), var_pop(cbigint), count(), min(ctinyint), avg(cdouble)
- Group By Vectorization:
- aggregators: VectorUDAFAvgLong(col 1:smallint) -> struct<count:bigint,sum:double,input:smallint>, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFCountStar(*) -> bigint, VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>
- className: VectorGroupByOperator
- groupByMode: HASH
- native: false
- vectorProcessingMode: HASH
- projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
- mode: hash
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
- Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- 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: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: struct<count:bigint,sum:double,input:smallint>), _col1 (type: double), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: tinyint), _col5 (type: struct<count:bigint,sum:double,input:double>)
- 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, 4, 5, 7, 8, 9]
- 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]
- 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:
- Group By Operator
- aggregations: avg(VALUE._col0), sum(VALUE._col1), var_pop(VALUE._col2), count(VALUE._col3), min(VALUE._col4), avg(VALUE._col5)
- mode: mergepartial
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
- Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: double), (_col0 % -563.0) (type: double), (_col0 + 762.0) (type: double), _col1 (type: double), _col2 (type: double), (- _col2) (type: double), (_col1 - _col0) (type: double), _col3 (type: bigint), (- (_col1 - _col0)) (type: double), (_col2 - 762.0) (type: double), _col4 (type: tinyint), ((- _col2) + UDFToDouble(_col4)) (type: double), _col5 (type: double), (((- _col2) + UDFToDouble(_col4)) - _col1) (type: double)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
- Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 1 Data size: 256 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: -1
- Processor Tree:
- ListSink
-
-PREHOOK: query: SELECT AVG(csmallint),
- (AVG(csmallint) % -563),
- (AVG(csmallint) + 762),
- SUM(cfloat),
- VAR_POP(cbigint),
- (-(VAR_POP(cbigint))),
- (SUM(cfloat) - AVG(csmallint)),
- COUNT(*),
- (-((SUM(cfloat) - AVG(csmallint)))),
- (VAR_POP(cbigint) - 762),
- MIN(ctinyint),
- ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
- AVG(cdouble),
- (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
-FROM alltypesparquet
-WHERE (((ctimestamp1 < ctimestamp2)
- AND ((cstring2 LIKE 'b%')
- AND (cfloat <= -5638.15)))
- OR ((cdouble < ctinyint)
- AND ((-10669 != ctimestamp2)
- OR (359 > cint))))
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT AVG(csmallint),
- (AVG(csmallint) % -563),
- (AVG(csmallint) + 762),
- SUM(cfloat),
- VAR_POP(cbigint),
- (-(VAR_POP(cbigint))),
- (SUM(cfloat) - AVG(csmallint)),
- COUNT(*),
- (-((SUM(cfloat) - AVG(csmallint)))),
- (VAR_POP(cbigint) - 762),
- MIN(ctinyint),
- ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
- AVG(cdouble),
- (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
-FROM alltypesparquet
-WHERE (((ctimestamp1 < ctimestamp2)
- AND ((cstring2 LIKE 'b%')
- AND (cfloat <= -5638.15)))
- OR ((cdouble < ctinyint)
- AND ((-10669 != ctimestamp2)
- OR (359 > cint))))
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
--5646.467075892857 -16.467075892856883 -4884.467075892857 -2839.634998679161 1.49936299222378778E18 -1.49936299222378778E18 2806.832077213696 3584 -2806.832077213696 1.49936299222378701E18 -64 -1.49936299222378778E18 -5650.1297631138395 -1.49936299222378496E18
http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
deleted file mode 100644
index 2abe821..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
+++ /dev/null
@@ -1,203 +0,0 @@
-WARNING: Comparing a bigint and a double may result in a loss of precision.
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT STDDEV_SAMP(csmallint),
- (STDDEV_SAMP(csmallint) - 10.175),
- STDDEV_POP(ctinyint),
- (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
- (-(STDDEV_POP(ctinyint))),
- (STDDEV_SAMP(csmallint) % 79.553),
- (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
- STDDEV_SAMP(cfloat),
- (-(STDDEV_SAMP(csmallint))),
- SUM(cfloat),
- ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
- (-((STDDEV_SAMP(csmallint) - 10.175))),
- AVG(cint),
- (-3728 - STDDEV_SAMP(csmallint)),
- STDDEV_POP(cint),
- (AVG(cint) / STDDEV_SAMP(cfloat))
-FROM alltypesparquet
-WHERE (((cint <= cfloat)
- AND ((79.553 != cbigint)
- AND (ctimestamp2 = -29071)))
- OR ((cbigint > cdouble)
- AND ((79.553 <= csmallint)
- AND (ctimestamp1 > ctimestamp2))))
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT STDDEV_SAMP(csmallint),
- (STDDEV_SAMP(csmallint) - 10.175),
- STDDEV_POP(ctinyint),
- (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
- (-(STDDEV_POP(ctinyint))),
- (STDDEV_SAMP(csmallint) % 79.553),
- (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
- STDDEV_SAMP(cfloat),
- (-(STDDEV_SAMP(csmallint))),
- SUM(cfloat),
- ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
- (-((STDDEV_SAMP(csmallint) - 10.175))),
- AVG(cint),
- (-3728 - STDDEV_SAMP(csmallint)),
- STDDEV_POP(cint),
- (AVG(cint) / STDDEV_SAMP(cfloat))
-FROM alltypesparquet
-WHERE (((cint <= cfloat)
- AND ((79.553 != cbigint)
- AND (ctimestamp2 = -29071)))
- OR ((cbigint > cdouble)
- AND ((79.553 <= csmallint)
- AND (ctimestamp1 > ctimestamp2))))
-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: FilterDoubleColLessEqualDoubleColumn(col 13:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 13:float), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 14:decimal(22,3))(children: CastLongToDecimal(col 3:bigint) -> 14:decimal(22,3)), FilterDoubleColEqualDoubleScalar(col 13:double, val -29071.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 13:double), FilterDecimalScalarLessEqualDecimalColumn(val 79.553, col 15:decimal(8,3))(children: CastLongToDecimal(col 1:smallint) -> 15:decimal(8,3)), FilterTimestampColGreaterTimestampColumn(col 8:timestamp, col 9:timestamp)))
- predicate: (((UDFToDouble(cbigint) > cdouble) and (79.553 <= CAST( csmallint AS decimal(8,3))) and (ctimestamp1 > ctimestamp2)) or ((UDFToFloat(cint) <= cfloat) and (79.553 <> CAST( cbigint AS decimal(22,3))) and (UDFToDouble(ctimestamp2) = -29071.0))) (type: boolean)
- Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cfloat (type: float)
- outputColumnNames: ctinyint, csmallint, cint, cfloat
- Select Vectorization:
- className: VectorSelectOperator
- native: true
- projectedOutputColumnNums: [0, 1, 2, 4]
- Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
- Group By Operator
- aggregations: stddev_samp(csmallint), stddev_pop(ctinyint), stddev_samp(cfloat), sum(cfloat), avg(cint), stddev_pop(cint)
- Group By Vectorization:
- aggregators: VectorUDAFVarLong(col 1:smallint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFAvgLong(col 2:int) -> struct<count:bigint,sum:double,input:int>, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
- className: VectorGroupByOperator
- groupByMode: HASH
- native: false
- vectorProcessingMode: HASH
- projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
- mode: hash
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
- Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- 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: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: struct<count:bigint,sum:double,variance:double>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: double), _col4 (type: struct<count:bigint,sum:double,input:int>), _col5 (type: struct<count:bigint,sum:double,variance:double>)
- 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, 4, 5, 8, 9]
- 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, decimal(22,3), decimal(8,3)]
- 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:
- Group By Operator
- aggregations: stddev_samp(VALUE._col0), stddev_pop(VALUE._col1), stddev_samp(VALUE._col2), sum(VALUE._col3), avg(VALUE._col4), stddev_pop(VALUE._col5)
- mode: mergepartial
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
- Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: double), (_col0 - 10.175) (type: double), _col1 (type: double), (_col0 * (_col0 - 10.175)) (type: double), (- _col1) (type: double), (_col0 % 79.553) (type: double), (- (_col0 * (_col0 - 10.175))) (type: double), _col2 (type: double), (- _col0) (type: double), _col3 (type: double), ((- (_col0 * (_col0 - 10.175))) / (_col0 - 10.175)) (type: double), (- (_col0 - 10.175)) (type: double), _col4 (type: double), (-3728.0 - _col0) (type: double), _col5 (type: double), (_col4 / _col2) (type: double)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15
- Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 1 Data size: 404 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: -1
- Processor Tree:
- ListSink
-
-WARNING: Comparing a bigint and a double may result in a loss of precision.
-PREHOOK: query: SELECT STDDEV_SAMP(csmallint),
- (STDDEV_SAMP(csmallint) - 10.175),
- STDDEV_POP(ctinyint),
- (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
- (-(STDDEV_POP(ctinyint))),
- (STDDEV_SAMP(csmallint) % 79.553),
- (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
- STDDEV_SAMP(cfloat),
- (-(STDDEV_SAMP(csmallint))),
- SUM(cfloat),
- ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
- (-((STDDEV_SAMP(csmallint) - 10.175))),
- AVG(cint),
- (-3728 - STDDEV_SAMP(csmallint)),
- STDDEV_POP(cint),
- (AVG(cint) / STDDEV_SAMP(cfloat))
-FROM alltypesparquet
-WHERE (((cint <= cfloat)
- AND ((79.553 != cbigint)
- AND (ctimestamp2 = -29071)))
- OR ((cbigint > cdouble)
- AND ((79.553 <= csmallint)
- AND (ctimestamp1 > ctimestamp2))))
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT STDDEV_SAMP(csmallint),
- (STDDEV_SAMP(csmallint) - 10.175),
- STDDEV_POP(ctinyint),
- (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
- (-(STDDEV_POP(ctinyint))),
- (STDDEV_SAMP(csmallint) % 79.553),
- (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
- STDDEV_SAMP(cfloat),
- (-(STDDEV_SAMP(csmallint))),
- SUM(cfloat),
- ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
- (-((STDDEV_SAMP(csmallint) - 10.175))),
- AVG(cint),
- (-3728 - STDDEV_SAMP(csmallint)),
- STDDEV_POP(cint),
- (AVG(cint) / STDDEV_SAMP(cfloat))
-FROM alltypesparquet
-WHERE (((cint <= cfloat)
- AND ((79.553 != cbigint)
- AND (ctimestamp2 = -29071)))
- OR ((cbigint > cdouble)
- AND ((79.553 <= csmallint)
- AND (ctimestamp1 > ctimestamp2))))
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-0.0 -10.175 34.287285216637066 -0.0 -34.287285216637066 0.0 0.0 34.34690095515641 -0.0 197.89499950408936 -0.0 10.175 NULL -3728.0 NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/a5d5473f/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
deleted file mode 100644
index 4c39858..0000000
--- a/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
+++ /dev/null
@@ -1,193 +0,0 @@
-PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT SUM(cint),
- (SUM(cint) * -563),
- (-3728 + SUM(cint)),
- STDDEV_POP(cdouble),
- (-(STDDEV_POP(cdouble))),
- AVG(cdouble),
- ((SUM(cint) * -563) % SUM(cint)),
- (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
- VAR_POP(cdouble),
- (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
- ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
- MIN(ctinyint),
- MIN(ctinyint),
- (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
-FROM alltypesparquet
-WHERE (((csmallint >= cint)
- OR ((-89010 >= ctinyint)
- AND (cdouble > 79.553)))
- OR ((-563 != cbigint)
- AND ((ctinyint != cbigint)
- OR (-3728 >= cdouble))))
-PREHOOK: type: QUERY
-POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
-SELECT SUM(cint),
- (SUM(cint) * -563),
- (-3728 + SUM(cint)),
- STDDEV_POP(cdouble),
- (-(STDDEV_POP(cdouble))),
- AVG(cdouble),
- ((SUM(cint) * -563) % SUM(cint)),
- (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
- VAR_POP(cdouble),
- (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
- ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
- MIN(ctinyint),
- MIN(ctinyint),
- (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
-FROM alltypesparquet
-WHERE (((csmallint >= cint)
- OR ((-89010 >= ctinyint)
- AND (cdouble > 79.553)))
- OR ((-563 != cbigint)
- AND ((ctinyint != cbigint)
- OR (-3728 >= cdouble))))
-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: FilterLongColGreaterEqualLongColumn(col 1:int, col 2:int)(children: col 1:smallint), FilterExprAndExpr(children: FilterLongScalarGreaterEqualLongColumn(val -89010, col 0:int)(children: col 0:tinyint), FilterDoubleColGreaterDoubleScalar(col 5:double, val 79.553)), FilterExprAndExpr(children: FilterLongScalarNotEqualLongColumn(val -563, col 3:bigint), FilterExprOrExpr(children: FilterLongColNotEqualLongColumn(col 0:bigint, col 3:bigint)(children: col 0:tinyint), FilterDoubleScalarGreaterEqualDoubleColumn(val -3728.0, col 5:double))))
- predicate: (((-563 <> cbigint) and ((UDFToLong(ctinyint) <> cbigint) or (-3728.0 >= cdouble))) or ((-89010 >= UDFToInteger(ctinyint)) and (cdouble > 79.553)) or (UDFToInteger(csmallint) >= cint)) (type: boolean)
- Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: ctinyint (type: tinyint), cint (type: int), cdouble (type: double)
- outputColumnNames: ctinyint, cint, cdouble
- Select Vectorization:
- className: VectorSelectOperator
- native: true
- projectedOutputColumnNums: [0, 2, 5]
- Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
- Group By Operator
- aggregations: sum(cint), stddev_pop(cdouble), avg(cdouble), var_pop(cdouble), min(ctinyint)
- Group By Vectorization:
- aggregators: VectorUDAFSumLong(col 2:int) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFMinLong(col 0:tinyint) -> tinyint
- className: VectorGroupByOperator
- groupByMode: HASH
- native: false
- vectorProcessingMode: HASH
- projectedOutputColumnNums: [0, 1, 2, 3, 4]
- mode: hash
- outputColumnNames: _col0, _col1, _col2, _col3, _col4
- Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
- Reduce Output Operator
- 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: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col0 (type: bigint), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,input:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: tinyint)
- 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]
- 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: []
- 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:
- Group By Operator
- aggregations: sum(VALUE._col0), stddev_pop(VALUE._col1), avg(VALUE._col2), var_pop(VALUE._col3), min(VALUE._col4)
- mode: mergepartial
- outputColumnNames: _col0, _col1, _col2, _col3, _col4
- Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: bigint), (_col0 * -563) (type: bigint), (-3728 + _col0) (type: bigint), _col1 (type: double), (- _col1) (type: double), _col2 (type: double), ((_col0 * -563) % _col0) (type: bigint), (UDFToDouble(((_col0 * -563) % _col0)) / _col2) (type: double), _col3 (type: double), (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2)) (type: double), ((-3728 + _col0) - (_col0 * -563)) (type: bigint), _col4 (type: tinyint), _col4 (type: tinyint), (UDFToDouble(_col4) * (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2))) (type: double)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
- Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 1 Data size: 252 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: -1
- Processor Tree:
- ListSink
-
-PREHOOK: query: SELECT SUM(cint),
- (SUM(cint) * -563),
- (-3728 + SUM(cint)),
- STDDEV_POP(cdouble),
- (-(STDDEV_POP(cdouble))),
- AVG(cdouble),
- ((SUM(cint) * -563) % SUM(cint)),
- (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
- VAR_POP(cdouble),
- (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
- ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
- MIN(ctinyint),
- MIN(ctinyint),
- (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
-FROM alltypesparquet
-WHERE (((csmallint >= cint)
- OR ((-89010 >= ctinyint)
- AND (cdouble > 79.553)))
- OR ((-563 != cbigint)
- AND ((ctinyint != cbigint)
- OR (-3728 >= cdouble))))
-PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
-POSTHOOK: query: SELECT SUM(cint),
- (SUM(cint) * -563),
- (-3728 + SUM(cint)),
- STDDEV_POP(cdouble),
- (-(STDDEV_POP(cdouble))),
- AVG(cdouble),
- ((SUM(cint) * -563) % SUM(cint)),
- (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
- VAR_POP(cdouble),
- (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
- ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
- MIN(ctinyint),
- MIN(ctinyint),
- (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
-FROM alltypesparquet
-WHERE (((csmallint >= cint)
- OR ((-89010 >= ctinyint)
- AND (cdouble > 79.553)))
- OR ((-563 != cbigint)
- AND ((ctinyint != cbigint)
- OR (-3728 >= cdouble))))
-POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
-#### A masked pattern was here ####
--493101012745 277615870175435 -493101016473 136727.7868296355 -136727.7868296355 2298.5515807767374 0 0.0 1.8694487691330246E10 -0.0 -278108971191908 -64 -64 0.0