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 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1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -61.0 NULL NULL 1969-12-31 16:00:13.868 -7196.0 1875242301 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -61.0 NULL NULL 1969-12-31 16:00:15.143 -7196.0 838733994 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 15:59:46.338 -200.0 175991222 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 -62.0 NULL NULL 1969-12-31 15:59:48.734 -7196.0 1602156586 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 15:59:49.053 -200.0 1277284867 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 -62.0 NULL NULL 1969-12-31 15:59:54.116 15601.0 158194463 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 -62.0 NULL NULL 1969-12-31 15:59:54.256 -7196.0 524247756 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 15:59:54.762 -200.0 1011458748 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 -62.0 NULL NULL 1969-12-31 16:00:02.38 -7196.0 1733885960 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 16:00:04.967 -200.0 988888 1.0 NULL 200.0 -199.0 NULL -200.0 863223.5639 2363.58 -62.0 NULL NULL 1969-12-31 16:00:07.828 -200.0 1801868132 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 -62.0 NULL NULL 1969-12-31 16:00:10.51 15601.0 1815385311 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 -62.0 NULL NULL 1969-12-31 16:00:12.36 -7196.0 176172843 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 16:00:12.762 -7196.0 1034824629 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 -62.0 NULL NULL 1969-12-31 16:00:14.982 15601.0 107241980 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 -79.553 NULL NULL 1969-12-31 16:00:00.761 -7196.0 514550698 2.410697012236624 NULL 7196.0 -7193.589302987763 NULL -7196.0 9763215.5639 -4632.42
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
