http://git-wip-us.apache.org/repos/asf/hive/blob/9a59592e/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out new file mode 100644 index 0000000..a790fc1 --- /dev/null +++ b/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out @@ -0,0 +1,31543 @@ +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(ctinyint) as c1, + MAX(ctinyint), + COUNT(ctinyint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(ctinyint) as c1, + MAX(ctinyint), + COUNT(ctinyint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: ctinyint (type: tinyint) + outputColumnNames: ctinyint + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(ctinyint), max(ctinyint), count(ctinyint), count() + Group By Vectorization: + aggregators: VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFCount(col 0:tinyint) -> bigint, VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0, 1, 2, 3] + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 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: 24 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: tinyint), _col1 (type: tinyint), _col2 (type: bigint), _col3 (type: bigint) + 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] + 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: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:tinyint, 1:_col1:tinyint, 2:_col2:bigint, 3:_col3:bigint] + Reduce Output Operator + key expressions: _col0 (type: tinyint) + sort order: + + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: tinyint), _col2 (type: bigint), _col3 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col0:tinyint, _col1:tinyint, _col2:bigint, _col3:bigint + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: tinyint), VALUE._col0 (type: tinyint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 24 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 MIN(ctinyint) as c1, + MAX(ctinyint), + COUNT(ctinyint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT MIN(ctinyint) as c1, + MAX(ctinyint), + COUNT(ctinyint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-64 62 9173 12288 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(ctinyint) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(ctinyint) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: ctinyint (type: tinyint) + outputColumnNames: ctinyint + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(ctinyint) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 0:tinyint) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0] + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 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: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + 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] + 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) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:bigint] + Reduce Output Operator + key expressions: _col0 (type: bigint) + 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: 8 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + includeColumns: [0] + dataColumns: _col0:bigint + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 8 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(ctinyint) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(ctinyint) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-39856 +PREHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(ctinyint) as c1, + variance(ctinyint), + var_pop(ctinyint), + var_samp(ctinyint), + std(ctinyint), + stddev(ctinyint), + stddev_pop(ctinyint), + stddev_samp(ctinyint) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(ctinyint) as c1, + variance(ctinyint), + var_pop(ctinyint), + var_samp(ctinyint), + std(ctinyint), + stddev(ctinyint), + stddev_pop(ctinyint), + stddev_samp(ctinyint) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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 + Select Operator + expressions: ctinyint (type: tinyint) + outputColumnNames: ctinyint + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ctinyint), variance(ctinyint), var_pop(ctinyint), var_samp(ctinyint), std(ctinyint), stddev(ctinyint), stddev_pop(ctinyint), stddev_samp(ctinyint) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:double,input:tinyint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (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 + 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), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: _col0 (type: double) + sort order: + + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 636 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(ctinyint) as c1, + variance(ctinyint), + var_pop(ctinyint), + var_samp(ctinyint), + std(ctinyint), + stddev(ctinyint), + stddev_pop(ctinyint), + stddev_samp(ctinyint) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT + avg(ctinyint) as c1, + variance(ctinyint), + var_pop(ctinyint), + var_samp(ctinyint), + std(ctinyint), + stddev(ctinyint), + stddev_pop(ctinyint), + stddev_samp(ctinyint) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-4.344925324321378 1158.3003004768184 1158.3003004768184 1158.4265870337827 34.033811136527426 34.033811136527426 34.033811136527426 34.03566639620536 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(cbigint) as c1, + MAX(cbigint), + COUNT(cbigint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(cbigint) as c1, + MAX(cbigint), + COUNT(cbigint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: cbigint (type: bigint) + outputColumnNames: cbigint + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [3] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(cbigint), max(cbigint), count(cbigint), count() + Group By Vectorization: + aggregators: VectorUDAFMinLong(col 3:bigint) -> bigint, VectorUDAFMaxLong(col 3:bigint) -> bigint, VectorUDAFCount(col 3:bigint) -> bigint, VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0, 1, 2, 3] + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 32 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: 32 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint) + 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: [3] + 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: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:bigint, 1:_col1:bigint, 2:_col2:bigint, 3:_col3:bigint] + Reduce Output Operator + key expressions: _col0 (type: bigint) + 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: 32 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col0:bigint, _col1:bigint, _col2:bigint, _col3:bigint + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 32 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 MIN(cbigint) as c1, + MAX(cbigint), + COUNT(cbigint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT MIN(cbigint) as c1, + MAX(cbigint), + COUNT(cbigint), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-2147311592 2145498388 9173 12288 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(cbigint) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(cbigint) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: cbigint (type: bigint) + outputColumnNames: cbigint + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [3] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(cbigint) + Group By Vectorization: + aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0] + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 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: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + 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: [3] + 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) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:bigint] + Reduce Output Operator + key expressions: _col0 (type: bigint) + 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: 8 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + includeColumns: [0] + dataColumns: _col0:bigint + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 8 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(cbigint) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(cbigint) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-1698460028409 +PREHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(cbigint) as c1, + variance(cbigint), + var_pop(cbigint), + var_samp(cbigint), + std(cbigint), + stddev(cbigint), + stddev_pop(cbigint), + stddev_samp(cbigint) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(cbigint) as c1, + variance(cbigint), + var_pop(cbigint), + var_samp(cbigint), + std(cbigint), + stddev(cbigint), + stddev_pop(cbigint), + stddev_samp(cbigint) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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 + Select Operator + expressions: cbigint (type: bigint) + outputColumnNames: cbigint + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(cbigint), variance(cbigint), var_pop(cbigint), var_samp(cbigint), std(cbigint), stddev(cbigint), stddev_pop(cbigint), stddev_samp(cbigint) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (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 + 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), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: _col0 (type: double) + sort order: + + Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 640 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(cbigint) as c1, + variance(cbigint), + var_pop(cbigint), + var_samp(cbigint), + std(cbigint), + stddev(cbigint), + stddev_pop(cbigint), + stddev_samp(cbigint) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT + avg(cbigint) as c1, + variance(cbigint), + var_pop(cbigint), + var_samp(cbigint), + std(cbigint), + stddev(cbigint), + stddev_pop(cbigint), + stddev_samp(cbigint) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-1.8515862077935246E8 2.07689300543081907E18 2.07689300543081907E18 2.07711944383088768E18 1.441142951074188E9 1.441142951074188E9 1.441142951074188E9 1.4412215110214279E9 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(cfloat) as c1, + MAX(cfloat), + COUNT(cfloat), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT MIN(cfloat) as c1, + MAX(cfloat), + COUNT(cfloat), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: cfloat (type: float) + outputColumnNames: cfloat + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [4] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: min(cfloat), max(cfloat), count(cfloat), count() + Group By Vectorization: + aggregators: VectorUDAFMinDouble(col 4:float) -> float, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFCount(col 4:float) -> bigint, VectorUDAFCountStar(*) -> bigint + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0, 1, 2, 3] + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 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: 24 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: float), _col1 (type: float), _col2 (type: bigint), _col3 (type: bigint) + 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: [4] + 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: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:float, 1:_col1:float, 2:_col2:bigint, 3:_col3:bigint] + Reduce Output Operator + key expressions: _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: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: float), _col2 (type: bigint), _col3 (type: bigint) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: _col0:float, _col1:float, _col2:bigint, _col3:bigint + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: float), VALUE._col0 (type: float), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 24 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 MIN(cfloat) as c1, + MAX(cfloat), + COUNT(cfloat), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT MIN(cfloat) as c1, + MAX(cfloat), + COUNT(cfloat), + COUNT(*) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-64.0 79.553 9173 12288 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(cfloat) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT SUM(cfloat) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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>] + Select Operator + expressions: cfloat (type: float) + outputColumnNames: cfloat + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [4] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(cfloat) + Group By Vectorization: + aggregators: VectorUDAFSumDouble(col 4:float) -> double + className: VectorGroupByOperator + groupByMode: HASH + native: false + vectorProcessingMode: HASH + projectedOutputColumnNums: [0] + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 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: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (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: [4] + 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) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:_col0:double] + Reduce Output Operator + key expressions: _col0 (type: double) + sort order: + + Reduce Sink Vectorization: + className: VectorReduceSinkOperator + native: false + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 1 + includeColumns: [0] + dataColumns: _col0:double + 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: + Select Operator + expressions: KEY.reducesinkkey0 (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 8 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(cfloat) as c1 +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(cfloat) as c1 +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-39479.635992884636 +PREHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(cfloat) as c1, + variance(cfloat), + var_pop(cfloat), + var_samp(cfloat), + std(cfloat), + stddev(cfloat), + stddev_pop(cfloat), + stddev_samp(cfloat) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION +SELECT + avg(cfloat) as c1, + variance(cfloat), + var_pop(cfloat), + var_samp(cfloat), + std(cfloat), + stddev(cfloat), + stddev_pop(cfloat), + stddev_samp(cfloat) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + +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 + Select Operator + expressions: cfloat (type: float) + outputColumnNames: cfloat + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(cfloat), variance(cfloat), var_pop(cfloat), var_samp(cfloat), std(cfloat), stddev(cfloat), stddev_pop(cfloat), stddev_samp(cfloat) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:double,input:float>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (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 + 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), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe + + Stage: Stage-2 + Map Reduce + Map Operator Tree: + TableScan + Reduce Output Operator + key expressions: _col0 (type: double) + sort order: + + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double) + Execution mode: vectorized + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + Reduce Vectorization: + enabled: false + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true + enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 636 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(cfloat) as c1, + variance(cfloat), + var_pop(cfloat), + var_samp(cfloat), + std(cfloat), + stddev(cfloat), + stddev_pop(cfloat), + stddev_samp(cfloat) +FROM alltypesparquet +ORDER BY c1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT + avg(cfloat) as c1, + variance(cfloat), + var_pop(cfloat), + var_samp(cfloat), + std(cfloat), + stddev(cfloat), + stddev_pop(cfloat), + stddev_samp(cfloat) +FROM alltypesparquet +ORDER BY c1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-4.303895780321011 1163.8972588604984 1163.8972588604984 1164.0241556397025 34.115938487171924 34.115938487171924 34.115938487171924 34.11779822379666 +WARNING: Comparing a bigint and a double may result in a loss of precision. +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT AVG(cbigint), + (-(AVG(cbigint))), + (-6432 + AVG(cbigint)), + STDDEV_POP(cbigint), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))), + VAR_SAMP(cbigint), + (-((-6432 + AVG(cbigint)))), + (-6432 + (-((-6432 + AVG(cbigint))))), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))), + COUNT(*), + SUM(cfloat), + (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)), + (-(VAR_SAMP(cbigint))), + ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))), + MIN(ctinyint), + (-(MIN(ctinyint))) +FROM alltypesparquet +WHERE (((cstring2 LIKE '%b%') + OR ((79.553 != cint) + OR (cbigint < cdouble))) + OR ((ctinyint >= csmallint) + AND ((cboolean2 = 1) + AND (3569 = ctinyint)))) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT AVG(cbigint), + (-(AVG(cbigint))), + (-6432 + AVG(cbigint)), + STDDEV_POP(cbigint), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))), + VAR_SAMP(cbigint), + (-((-6432 + AVG(cbigint)))), + (-6432 + (-((-6432 + AVG(cbigint))))), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))), + COUNT(*), + SUM(cfloat), + (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)), + (-(VAR_SAMP(cbigint))), + ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))), + MIN(ctinyint), + (-(MIN(ctinyint))) +FROM alltypesparquet +WHERE (((cstring2 LIKE '%b%') + OR ((79.553 != cint) + OR (cbigint < cdouble))) + OR ((ctinyint >= csmallint) + AND ((cboolean2 = 1) + AND (3569 = ctinyint)))) +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: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 13:decimal(13,3))(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3)), FilterDoubleColLessDoubleColumn(col 14:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 14:double), FilterExprAndExpr(children: FilterLongColGreaterEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint), FilterLongColEqualLongScalar(col 11:boolean, val 1), FilterLongScalarEqualLongColumn(val 3569, col 0:int)(children: col 0:tinyint))) + predicate: (((UDFToShort(ctinyint) >= csmallint) and (cboolean2 = 1) and (3569 = UDFToInteger(ctinyint))) or (79.553 <> CAST( cint AS decimal(13,3))) or (UDFToDouble(cbigint) < cdouble) or (cstring2 like '%b%')) (type: boolean) + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ctinyint (type: tinyint), cbigint (type: bigint), cfloat (type: float) + outputColumnNames: ctinyint, cbigint, cfloat + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0, 3, 4] + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(cbigint), stddev_pop(cbigint), var_samp(cbigint), count(), sum(cfloat), min(ctinyint) + Group By Vectorization: + aggregators: VectorUDAFAvgLong(col 3:bigint) -> struct<count:bigint,sum:double,input:bigint>, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFCountStar(*) -> bigint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFMinLong(col 0:tinyint) -> tinyint + 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: 260 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: 260 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: double), _col5 (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, 4, 5, 7, 11] + 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] + 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), stddev_pop(VALUE._col1), var_samp(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), min(VALUE._col5) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: double), (- _col0) (type: double), (-6432.0 + _col0) (type: double), _col1 (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) + (-6432.0 + _col0)) (type: double), _col2 (type: double), (- (-6432.0 + _col0)) (type: double), (-6432.0 + (- (-6432.0 + _col0))) (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) / (- (-6432.0 + _col0))) (type: double), _col3 (type: bigint), _col4 (type: double), (_col2 % _col1) (type: double), (- _col2) (type: double), ((- (-6432.0 + _col0)) * (- _col0)) (type: double), _col5 (type: tinyint), (- _col5) (type: tinyint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17 + Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 260 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 AVG(cbigint), + (-(AVG(cbigint))), + (-6432 + AVG(cbigint)), + STDDEV_POP(cbigint), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))), + VAR_SAMP(cbigint), + (-((-6432 + AVG(cbigint)))), + (-6432 + (-((-6432 + AVG(cbigint))))), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))), + COUNT(*), + SUM(cfloat), + (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)), + (-(VAR_SAMP(cbigint))), + ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))), + MIN(ctinyint), + (-(MIN(ctinyint))) +FROM alltypesparquet +WHERE (((cstring2 LIKE '%b%') + OR ((79.553 != cint) + OR (cbigint < cdouble))) + OR ((ctinyint >= csmallint) + AND ((cboolean2 = 1) + AND (3569 = ctinyint)))) +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: SELECT AVG(cbigint), + (-(AVG(cbigint))), + (-6432 + AVG(cbigint)), + STDDEV_POP(cbigint), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))), + VAR_SAMP(cbigint), + (-((-6432 + AVG(cbigint)))), + (-6432 + (-((-6432 + AVG(cbigint))))), + (-((-6432 + AVG(cbigint)))), + ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))), + COUNT(*), + SUM(cfloat), + (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)), + (-(VAR_SAMP(cbigint))), + ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))), + MIN(ctinyint), + (-(MIN(ctinyint))) +FROM alltypesparquet +WHERE (((cstring2 LIKE '%b%') + OR ((79.553 != cint) + OR (cbigint < cdouble))) + OR ((ctinyint >= csmallint) + AND ((cboolean2 = 1) + AND (3569 = ctinyint)))) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-3.875652215945533E8 3.875652215945533E8 -3.875716535945533E8 1.436387455459401E9 3.875716535945533E8 0.0 2.06347151720204902E18 3.875716535945533E8 3.875652215945533E8 3.875716535945533E8 1.0 10934 -37224.52399241924 1.0517370547117279E9 -2.06347151720204902E18 1.5020929380914048E17 -64 64 +PREHOOK: query: EXPLAIN extended +select count(*) from alltypesparquet + where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or + ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0)))) +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN extended +select count(*) from alltypesparquet + where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or + ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0)))) +POSTHOOK: type: QUERY +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 + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: (((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0)) or (cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%')) (type: boolean) + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + null sort order: + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: bigint) + auto parallelism: false + Execution mode: vectorized + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: alltypesparquet + input format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat + output format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat + properties: + COLUMN_STATS_ACCURATE {"BASIC_STATS":"true","COLUMN_STATS":{"cbigint":"true","cboolean1":"true","cboolean2":"true","cdouble":"true","cfloat":"true","cint":"true","csmallint":"true","cstring1":"true","cstring2":"true","ctimestamp1":"true","ctimestamp2":"true","ctinyint":"true"}} + bucket_count -1 + column.name.delimiter , + columns ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2 + columns.comments + columns.types tinyint:smallint:int:bigint:float:double:string:string:timestamp:timestamp:boolean:boolean +#### A masked pattern was here #### + name default.alltypesparquet + numFiles 1 + numRows 12288 + rawDataSize 147456 + serialization.ddl struct alltypesparquet { byte ctinyint, i16 csmallint, i32 cint, i64 cbigint, float cfloat, double cdouble, string cstring1, string cstring2, timestamp ctimestamp1, timestamp ctimestamp2, bool cboolean1, bool cboolean2} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe + totalSize 594976 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe + + input format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat + output format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat + properties: + COLUMN_STATS_ACCURATE {"BASIC_STATS":"true","COLUMN_STATS":{"cbigint":"true","cboolean1":"true","cboolean2":"true","cdouble":"true","cfloat":"true","cint":"true","csmallint":"true","cstring1":"true","cstring2":"true","ctimestamp1":"true","ctimestamp2":"true","ctinyint":"true"}} + bucket_count -1 + column.name.delimiter , + columns ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2 + columns.comments + columns.types tinyint:smallint:int:bigint:float:double:string:string:timestamp:timestamp:boolean:boolean +#### A masked pattern was here #### + name default.alltypesparquet + numFiles 1 + numRows 12288 + rawDataSize 147456 + serialization.ddl struct alltypesparquet { byte ctinyint, i16 csmallint, i32 cint, i64 cbigint, float cfloat, double cdouble, string cstring1, string cstring2, timestamp ctimestamp1, timestamp ctimestamp2, bool cboolean1, bool cboolean2} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe + totalSize 594976 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe + name: default.alltypesparquet + name: default.alltypesparquet + Truncated Path -> Alias: + /alltypesparquet [alltypesparquet] + Needs Tagging: false + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + properties: + columns _col0 + columns.types bigint + escape.delim \ + hive.serialization.extend.additional.nesting.levels true + serialization.escape.crlf true + serialization.format 1 + serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + TotalFiles: 1 + GatherStats: false + MultiFileSpray: false + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select count(*) from alltypesparquet + where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or + ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0)))) +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select count(*) from alltypesparquet + where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or + ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0)))) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +1370 +PREHOOK: query: select min(ctinyint), max(ctinyint), sum(ctinyint), avg(ctinyint) from alltypesparquet +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select min(ctinyint), max(ctinyint), sum(ctinyint), avg(ctinyint) from alltypesparquet +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-64 62 -39856 -4.344925324321378 +PREHOOK: query: select min(csmallint), max(csmallint), sum(csmallint), avg(csmallint) from alltypesparquet +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select min(csmallint), max(csmallint), sum(csmallint), avg(csmallint) from alltypesparquet +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-16379 16376 7435990 810.5504687159363 +PREHOOK: query: select min(cint), max(cint), sum(cint), avg(cint) from alltypesparquet +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select min(cint), max(cint), sum(cint), avg(cint) from alltypesparquet +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-1073279343 1073680599 1438050863785 1.567699622571678E8 +PREHOOK: query: select min(cbigint), max(cbigint), sum(cbigint), avg(cbigint) from alltypesparquet +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select min(cbigint), max(cbigint), sum(cbigint), avg(cbigint) from alltypesparquet +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +-2147311592 2145498388 -1698460028409 -1.8515862077935246E8 +PREHOOK: query: select min(cdouble), max(cdouble), sum(cdouble), avg(cdouble) from alltypesparquet +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesparquet +#### A masked pattern was here #### +POSTHOOK: query: select min(cdouble), max(cdouble), sum(cdouble), avg(cdouble) from alltypesparquet +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesparque
<TRUNCATED>
