Index: ql/src/test/results/clientpositive/spark/vector_cast_constant.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vector_cast_constant.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vector_cast_constant.q.out (working copy) @@ -0,0 +1,203 @@ +PREHOOK: query: DROP TABLE over1k +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1k +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE over1korc +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1korc +POSTHOOK: type: DROPTABLE +PREHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1k +POSTHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1k +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over1k +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over1k +PREHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1korc +POSTHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1korc +PREHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +PREHOOK: type: QUERY +PREHOOK: Input: default@over1k +PREHOOK: Output: default@over1korc +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1k +POSTHOOK: Output: default@over1korc +POSTHOOK: Lineage: over1korc.b SIMPLE [(over1k)over1k.FieldSchema(name:b, type:bigint, comment:null), ] +POSTHOOK: Lineage: over1korc.bin SIMPLE [(over1k)over1k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: over1korc.bo SIMPLE [(over1k)over1k.FieldSchema(name:bo, type:boolean, comment:null), ] +POSTHOOK: Lineage: over1korc.d SIMPLE [(over1k)over1k.FieldSchema(name:d, type:double, comment:null), ] +POSTHOOK: Lineage: over1korc.dec SIMPLE [(over1k)over1k.FieldSchema(name:dec, type:decimal(4,2), comment:null), ] +POSTHOOK: Lineage: over1korc.f SIMPLE [(over1k)over1k.FieldSchema(name:f, type:float, comment:null), ] +POSTHOOK: Lineage: over1korc.i SIMPLE [(over1k)over1k.FieldSchema(name:i, type:int, comment:null), ] +POSTHOOK: Lineage: over1korc.s SIMPLE [(over1k)over1k.FieldSchema(name:s, type:string, comment:null), ] +POSTHOOK: Lineage: over1korc.si SIMPLE [(over1k)over1k.FieldSchema(name:si, type:smallint, comment:null), ] +POSTHOOK: Lineage: over1korc.t SIMPLE [(over1k)over1k.FieldSchema(name:t, type:tinyint, comment:null), ] +POSTHOOK: Lineage: over1korc.ts SIMPLE [(over1k)over1k.FieldSchema(name:ts, type:timestamp, comment:null), ] +PREHOOK: query: EXPLAIN SELECT + i, + AVG(CAST(50 AS INT)) AS `avg_int_ok`, + AVG(CAST(50 AS DOUBLE)) AS `avg_double_ok`, + AVG(CAST(50 AS DECIMAL)) AS `avg_decimal_ok` + FROM over1korc GROUP BY i LIMIT 10 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT + i, + AVG(CAST(50 AS INT)) AS `avg_int_ok`, + AVG(CAST(50 AS DOUBLE)) AS `avg_double_ok`, + AVG(CAST(50 AS DECIMAL)) AS `avg_decimal_ok` + FROM over1korc GROUP BY i LIMIT 10 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over1korc + Statistics: Num rows: 5734 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i (type: int) + outputColumnNames: i + Statistics: Num rows: 5734 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(50), avg(UDFToDouble(50)), avg(CAST( 50 AS decimal(10,0))) + keys: i (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 5734 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 5734 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: struct), _col2 (type: struct), _col3 (type: struct) + Reducer 2 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0), avg(VALUE._col1), avg(VALUE._col2) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 2867 Data size: 11469 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: double), _col2 (type: double), _col3 (type: decimal(14,4)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 2867 Data size: 11469 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 40 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 40 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: SELECT + i, + AVG(CAST(50 AS INT)) AS `avg_int_ok`, + AVG(CAST(50 AS DOUBLE)) AS `avg_double_ok`, + AVG(CAST(50 AS DECIMAL)) AS `avg_decimal_ok` + FROM over1korc GROUP BY i LIMIT 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@over1korc +#### A masked pattern was here #### +POSTHOOK: query: SELECT + i, + AVG(CAST(50 AS INT)) AS `avg_int_ok`, + AVG(CAST(50 AS DOUBLE)) AS `avg_double_ok`, + AVG(CAST(50 AS DECIMAL)) AS `avg_decimal_ok` + FROM over1korc GROUP BY i LIMIT 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1korc +#### A masked pattern was here #### +65712 50.0 50.0 50 +65720 50.0 50.0 50 +65540 50.0 50.0 50 +65639 50.0 50.0 50 +65723 50.0 50.0 50 +65621 50.0 50.0 50 +65686 50.0 50.0 50 +65628 50.0 50.0 50 +65617 50.0 50.0 50 +65580 50.0 50.0 50 Index: ql/src/test/results/clientpositive/spark/vector_data_types.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vector_data_types.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vector_data_types.q.out (working copy) @@ -0,0 +1,260 @@ +PREHOOK: query: DROP TABLE over1k +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1k +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE over1korc +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1korc +POSTHOOK: type: DROPTABLE +PREHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1k +POSTHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1k +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over1k +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over1k +PREHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1korc +POSTHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1korc +PREHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +PREHOOK: type: QUERY +PREHOOK: Input: default@over1k +PREHOOK: Output: default@over1korc +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1k +POSTHOOK: Output: default@over1korc +POSTHOOK: Lineage: over1korc.b SIMPLE [(over1k)over1k.FieldSchema(name:b, type:bigint, comment:null), ] +POSTHOOK: Lineage: over1korc.bin SIMPLE [(over1k)over1k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: over1korc.bo SIMPLE [(over1k)over1k.FieldSchema(name:bo, type:boolean, comment:null), ] +POSTHOOK: Lineage: over1korc.d SIMPLE [(over1k)over1k.FieldSchema(name:d, type:double, comment:null), ] +POSTHOOK: Lineage: over1korc.dec SIMPLE [(over1k)over1k.FieldSchema(name:dec, type:decimal(4,2), comment:null), ] +POSTHOOK: Lineage: over1korc.f SIMPLE [(over1k)over1k.FieldSchema(name:f, type:float, comment:null), ] +POSTHOOK: Lineage: over1korc.i SIMPLE [(over1k)over1k.FieldSchema(name:i, type:int, comment:null), ] +POSTHOOK: Lineage: over1korc.s SIMPLE [(over1k)over1k.FieldSchema(name:s, type:string, comment:null), ] +POSTHOOK: Lineage: over1korc.si SIMPLE [(over1k)over1k.FieldSchema(name:si, type:smallint, comment:null), ] +POSTHOOK: Lineage: over1korc.t SIMPLE [(over1k)over1k.FieldSchema(name:t, type:tinyint, comment:null), ] +POSTHOOK: Lineage: over1korc.ts SIMPLE [(over1k)over1k.FieldSchema(name:ts, type:timestamp, comment:null), ] +PREHOOK: query: EXPLAIN SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over1korc + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: t (type: tinyint), si (type: smallint), i (type: int), b (type: bigint), f (type: float), d (type: double), bo (type: boolean), s (type: string), ts (type: timestamp), dec (type: decimal(4,2)), bin (type: binary) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: int) + sort order: + + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: boolean), _col7 (type: string), _col8 (type: timestamp), _col9 (type: decimal(4,2)), _col10 (type: binary) + Reducer 2 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: tinyint), VALUE._col1 (type: smallint), KEY.reducesinkkey0 (type: int), VALUE._col2 (type: bigint), VALUE._col3 (type: float), VALUE._col4 (type: double), VALUE._col5 (type: boolean), VALUE._col6 (type: string), VALUE._col7 (type: timestamp), VALUE._col8 (type: decimal(4,2)), VALUE._col9 (type: binary) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 20 + Statistics: Num rows: 20 Data size: 7760 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 20 Data size: 7760 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 20 + Processor Tree: + ListSink + +PREHOOK: query: SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +PREHOOK: type: QUERY +PREHOOK: Input: default@over1korc +#### A masked pattern was here #### +POSTHOOK: query: SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1korc +#### A masked pattern was here #### +NULL 409 65536 4294967490 46.97 25.92 false fred miller 2013-03-01 09:11:58.703116 33.45 history +18 280 65536 4294967320 32.92 45.94 false holly white 2013-03-01 09:11:58.703086 58.86 topology +69 489 65536 4294967404 33.52 17.99 false oscar ichabod 2013-03-01 09:11:58.703247 32.68 topology +108 301 65536 4294967357 90.05 17.59 true ethan johnson 2013-03-01 09:11:58.703271 75.70 undecided +27 405 65536 4294967508 82.24 29.41 true oscar ovid 2013-03-01 09:11:58.703166 16.85 biology +42 495 65536 4294967431 43.57 46.81 false tom johnson 2013-03-01 09:11:58.703245 62.25 american history +118 497 65536 4294967381 50.32 12.72 false david nixon 2013-03-01 09:11:58.703285 83.48 values clariffication +72 267 65537 4294967460 55.2 42.89 false oscar carson 2013-03-01 09:11:58.703153 51.91 topology +22 264 65537 4294967419 8.07 10.71 false david xylophone 2013-03-01 09:11:58.703136 11.87 undecided +63 458 65537 4294967463 21.94 49.71 true fred van buren 2013-03-01 09:11:58.703278 99.34 wind surfing +121 355 65537 4294967437 85.9 10.99 true calvin brown 2013-03-01 09:11:58.703254 4.49 yard duty +59 431 65537 4294967326 11.34 2.9 true oscar robinson 2013-03-01 09:11:58.703161 81.04 zync studies +83 353 65538 4294967339 0.08 23.91 true holly thompson 2013-03-01 09:11:58.703157 30.27 quiet hour +109 376 65538 4294967453 59.61 35.62 true priscilla xylophone 2013-03-01 09:11:58.703286 9.53 study skills +101 283 65538 4294967527 84.03 27.29 true yuri brown 2013-03-01 09:11:58.703306 44.24 biology +120 331 65539 4294967324 88.02 40.94 true holly nixon 2013-03-01 09:11:58.703262 96.64 yard duty +70 430 65539 4294967534 18.89 43.84 true tom carson 2013-03-01 09:11:58.703182 21.93 joggying +29 331 65539 4294967420 73.18 28.96 true ethan brown 2013-03-01 09:11:58.703094 58.85 zync studies +71 298 65540 4294967510 91.63 9.6 false gabriella zipper 2013-03-01 09:11:58.70314 68.14 geology +89 466 65541 4294967468 85.51 19.79 true calvin davidson 2013-03-01 09:11:58.703113 35.38 philosophy +PREHOOK: query: EXPLAIN select t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN select t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: over1korc + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: t (type: tinyint), si (type: smallint), i (type: int), b (type: bigint), f (type: float), d (type: double), bo (type: boolean), s (type: string), ts (type: timestamp), dec (type: decimal(4,2)), bin (type: binary) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: int) + sort order: + + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: tinyint), _col1 (type: smallint), _col3 (type: bigint), _col4 (type: float), _col5 (type: double), _col6 (type: boolean), _col7 (type: string), _col8 (type: timestamp), _col9 (type: decimal(4,2)), _col10 (type: binary) + Reducer 2 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: tinyint), VALUE._col1 (type: smallint), KEY.reducesinkkey0 (type: int), VALUE._col2 (type: bigint), VALUE._col3 (type: float), VALUE._col4 (type: double), VALUE._col5 (type: boolean), VALUE._col6 (type: string), VALUE._col7 (type: timestamp), VALUE._col8 (type: decimal(4,2)), VALUE._col9 (type: binary) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 59 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 20 + Statistics: Num rows: 20 Data size: 7760 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 20 Data size: 7760 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 20 + Processor Tree: + ListSink + +PREHOOK: query: SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +PREHOOK: type: QUERY +PREHOOK: Input: default@over1korc +#### A masked pattern was here #### +POSTHOOK: query: SELECT t, si, i, b, f, d, bo, s, ts, dec, bin FROM over1korc ORDER BY i LIMIT 20 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1korc +#### A masked pattern was here #### +NULL 409 65536 4294967490 46.97 25.92 false fred miller 2013-03-01 09:11:58.703116 33.45 history +18 280 65536 4294967320 32.92 45.94 false holly white 2013-03-01 09:11:58.703086 58.86 topology +69 489 65536 4294967404 33.52 17.99 false oscar ichabod 2013-03-01 09:11:58.703247 32.68 topology +108 301 65536 4294967357 90.05 17.59 true ethan johnson 2013-03-01 09:11:58.703271 75.70 undecided +27 405 65536 4294967508 82.24 29.41 true oscar ovid 2013-03-01 09:11:58.703166 16.85 biology +42 495 65536 4294967431 43.57 46.81 false tom johnson 2013-03-01 09:11:58.703245 62.25 american history +118 497 65536 4294967381 50.32 12.72 false david nixon 2013-03-01 09:11:58.703285 83.48 values clariffication +72 267 65537 4294967460 55.2 42.89 false oscar carson 2013-03-01 09:11:58.703153 51.91 topology +22 264 65537 4294967419 8.07 10.71 false david xylophone 2013-03-01 09:11:58.703136 11.87 undecided +63 458 65537 4294967463 21.94 49.71 true fred van buren 2013-03-01 09:11:58.703278 99.34 wind surfing +121 355 65537 4294967437 85.9 10.99 true calvin brown 2013-03-01 09:11:58.703254 4.49 yard duty +59 431 65537 4294967326 11.34 2.9 true oscar robinson 2013-03-01 09:11:58.703161 81.04 zync studies +83 353 65538 4294967339 0.08 23.91 true holly thompson 2013-03-01 09:11:58.703157 30.27 quiet hour +109 376 65538 4294967453 59.61 35.62 true priscilla xylophone 2013-03-01 09:11:58.703286 9.53 study skills +101 283 65538 4294967527 84.03 27.29 true yuri brown 2013-03-01 09:11:58.703306 44.24 biology +120 331 65539 4294967324 88.02 40.94 true holly nixon 2013-03-01 09:11:58.703262 96.64 yard duty +70 430 65539 4294967534 18.89 43.84 true tom carson 2013-03-01 09:11:58.703182 21.93 joggying +29 331 65539 4294967420 73.18 28.96 true ethan brown 2013-03-01 09:11:58.703094 58.85 zync studies +71 298 65540 4294967510 91.63 9.6 false gabriella zipper 2013-03-01 09:11:58.70314 68.14 geology +89 466 65541 4294967468 85.51 19.79 true calvin davidson 2013-03-01 09:11:58.703113 35.38 philosophy Index: ql/src/test/results/clientpositive/spark/vector_decimal_aggregate.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vector_decimal_aggregate.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vector_decimal_aggregate.q.out (working copy) @@ -0,0 +1,120 @@ +PREHOOK: query: CREATE TABLE decimal_vgby STORED AS ORC AS + SELECT cdouble, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal1, + CAST (((cdouble*9.3)/13) AS DECIMAL(23,14)) AS cdecimal2, + cint + FROM alltypesorc +PREHOOK: type: CREATETABLE_AS_SELECT +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: database:default +PREHOOK: Output: default@decimal_vgby +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: CREATE TABLE decimal_vgby STORED AS ORC AS + SELECT cdouble, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal1, + CAST (((cdouble*9.3)/13) AS DECIMAL(23,14)) AS cdecimal2, + cint + FROM alltypesorc +POSTHOOK: type: CREATETABLE_AS_SELECT +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: database:default +POSTHOOK: Output: default@decimal_vgby +PREHOOK: query: EXPLAIN SELECT cint, + COUNT(cdecimal1), MAX(cdecimal1), MIN(cdecimal1), SUM(cdecimal1), AVG(cdecimal1), STDDEV_POP(cdecimal1), STDDEV_SAMP(cdecimal1), + COUNT(cdecimal2), MAX(cdecimal2), MIN(cdecimal2), SUM(cdecimal2), AVG(cdecimal2), STDDEV_POP(cdecimal2), STDDEV_SAMP(cdecimal2) + FROM decimal_vgby + GROUP BY cint + HAVING COUNT(*) > 1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT cint, + COUNT(cdecimal1), MAX(cdecimal1), MIN(cdecimal1), SUM(cdecimal1), AVG(cdecimal1), STDDEV_POP(cdecimal1), STDDEV_SAMP(cdecimal1), + COUNT(cdecimal2), MAX(cdecimal2), MIN(cdecimal2), SUM(cdecimal2), AVG(cdecimal2), STDDEV_POP(cdecimal2), STDDEV_SAMP(cdecimal2) + FROM decimal_vgby + GROUP BY cint + HAVING COUNT(*) > 1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: decimal_vgby + Statistics: Num rows: 550 Data size: 125410 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cint (type: int), cdecimal1 (type: decimal(20,10)), cdecimal2 (type: decimal(23,14)) + outputColumnNames: cint, cdecimal1, cdecimal2 + Statistics: Num rows: 550 Data size: 125410 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count(cdecimal1), max(cdecimal1), min(cdecimal1), sum(cdecimal1), avg(cdecimal1), stddev_pop(cdecimal1), stddev_samp(cdecimal1), count(cdecimal2), max(cdecimal2), min(cdecimal2), sum(cdecimal2), avg(cdecimal2), stddev_pop(cdecimal2), stddev_samp(cdecimal2), count() + keys: cint (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15 + Statistics: Num rows: 550 Data size: 125410 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 550 Data size: 125410 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint), _col2 (type: decimal(20,10)), _col3 (type: decimal(20,10)), _col4 (type: decimal(30,10)), _col5 (type: struct), _col6 (type: struct), _col7 (type: struct), _col8 (type: bigint), _col9 (type: decimal(23,14)), _col10 (type: decimal(23,14)), _col11 (type: decimal(33,14)), _col12 (type: struct), _col13 (type: struct), _col14 (type: struct), _col15 (type: bigint) + Reducer 2 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0), max(VALUE._col1), min(VALUE._col2), sum(VALUE._col3), avg(VALUE._col4), stddev_pop(VALUE._col5), stddev_samp(VALUE._col6), count(VALUE._col7), max(VALUE._col8), min(VALUE._col9), sum(VALUE._col10), avg(VALUE._col11), stddev_pop(VALUE._col12), stddev_samp(VALUE._col13), count(VALUE._col14) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15 + Statistics: Num rows: 275 Data size: 62705 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (_col15 > 1) (type: boolean) + Statistics: Num rows: 91 Data size: 20749 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: bigint), _col2 (type: decimal(20,10)), _col3 (type: decimal(20,10)), _col4 (type: decimal(30,10)), _col5 (type: decimal(24,14)), _col6 (type: double), _col7 (type: double), _col8 (type: bigint), _col9 (type: decimal(23,14)), _col10 (type: decimal(23,14)), _col11 (type: decimal(33,14)), _col12 (type: decimal(27,18)), _col13 (type: double), _col14 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14 + Statistics: Num rows: 91 Data size: 20749 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 91 Data size: 20749 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT cint, + COUNT(cdecimal1), MAX(cdecimal1), MIN(cdecimal1), SUM(cdecimal1), AVG(cdecimal1), STDDEV_POP(cdecimal1), STDDEV_SAMP(cdecimal1), + COUNT(cdecimal2), MAX(cdecimal2), MIN(cdecimal2), SUM(cdecimal2), AVG(cdecimal2), STDDEV_POP(cdecimal2), STDDEV_SAMP(cdecimal2) + FROM decimal_vgby + GROUP BY cint + HAVING COUNT(*) > 1 +PREHOOK: type: QUERY +PREHOOK: Input: default@decimal_vgby +#### A masked pattern was here #### +POSTHOOK: query: SELECT cint, + COUNT(cdecimal1), MAX(cdecimal1), MIN(cdecimal1), SUM(cdecimal1), AVG(cdecimal1), STDDEV_POP(cdecimal1), STDDEV_SAMP(cdecimal1), + COUNT(cdecimal2), MAX(cdecimal2), MIN(cdecimal2), SUM(cdecimal2), AVG(cdecimal2), STDDEV_POP(cdecimal2), STDDEV_SAMP(cdecimal2) + FROM decimal_vgby + GROUP BY cint + HAVING COUNT(*) > 1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@decimal_vgby +#### A masked pattern was here #### +-563 2 -515.6210729730 -3367.6517567568 -3883.2728297298 -1941.6364148649 1426.0153418918999 2016.6902366556308 2 -617.5607769230769 -4033.445769230769 -4651.0065461538459 -2325.50327307692295 1707.9424961538462 2415.395441814127 +253665376 1024 9767.0054054054 -9779.5486486487 -347484.0818378374 -339.33992366976309 5708.9563478862 5711.745967572779 1024 11697.969230769231 -11712.99230769231 -416182.64030769233089 -406.428359675480791885 6837.632716002934 6840.973851172274 +6981 3 5831542.269248378 -515.6210729730 5830511.0271024320 1943503.67570081066667 2749258.455012492 3367140.1929065133 3 6984454.211097692 -617.5607769230769 6983219.0895438458462 2327739.696514615282066667 3292794.4113115156 4032833.0678006653 +528534767 1024 5831542.269248378 -9777.1594594595 11646372.8607481068 11373.41099682432305 257528.92988206653 257654.7686043977 1024 6984454.211097692 -11710.130769230771 13948892.79980307629003 13621.965624807691689482 308443.1074570801 308593.82484083984 +762 2 5831542.269248378 1531.2194054054 5833073.4886537834 2916536.7443268917 2915005.5249214866 4122440.3477364695 2 6984454.211097692 1833.9456923076925 6986288.1567899996925 3493144.07839499984625 3491310.1327026924 4937458.140118758 +NULL 3072 9318.4351351351 -4298.1513513514 5018444.1081079808 1633.60810810806667 5695.483082135364 5696.4103077145055 3072 11160.715384615385 -5147.907692307693 6010604.3076923073536 1956.576923076922966667 6821.495748565159 6822.606289190924 +626923679 1024 9723.4027027027 -9778.9513513514 10541.0525297287 10.29399661106318 5742.09145323734 5744.897264034267 1024 11645.746153846154 -11712.276923076923 12625.04759999997746 12.329148046874977988 6877.318722794877 6880.679250101603 +-3728 6 5831542.269248378 -3367.6517567568 5817556.0411483778 969592.67352472963333 2174330.2092403853 2381859.406131774 6 6984454.211097692 -4033.445769230769 6967702.8672438458471 1161283.811207307641183333 2604201.2704476737 2852759.5602156054 Index: ql/src/test/results/clientpositive/spark/vector_left_outer_join.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vector_left_outer_join.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vector_left_outer_join.q.out (working copy) @@ -0,0 +1,143 @@ +PREHOOK: query: explain +select count(*) from (select c.ctinyint +from alltypesorc c +left outer join alltypesorc cd + on cd.cint = c.cint +left outer join alltypesorc hd + on hd.ctinyint = c.ctinyint +) t1 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select count(*) from (select c.ctinyint +from alltypesorc c +left outer join alltypesorc cd + on cd.cint = c.cint +left outer join alltypesorc hd + on hd.ctinyint = c.ctinyint +) t1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Reducer 5 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP) + Reducer 5 <- Map 4 (GROUP SORT), Map 6 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: hd + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: ctinyint (type: tinyint) + sort order: + + Map-reduce partition columns: ctinyint (type: tinyint) + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Map 4 + Map Operator Tree: + TableScan + alias: c + Statistics: Num rows: 47154 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 47154 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + value expressions: ctinyint (type: tinyint) + Map 6 + Map Operator Tree: + TableScan + alias: cd + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Left Outer Join0 to 1 + condition expressions: + 0 + 1 + Statistics: Num rows: 114112 Data size: 456456 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 114112 Data size: 456456 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 + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + Reducer 3 + 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 + Select Operator + expressions: _col0 (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.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 5 + Reduce Operator Tree: + Join Operator + condition map: + Left Outer Join0 to 1 + condition expressions: + 0 {VALUE._col0} + 1 + outputColumnNames: _col0 + Statistics: Num rows: 103739 Data size: 414960 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: tinyint) + sort order: + + Map-reduce partition columns: _col0 (type: tinyint) + Statistics: Num rows: 103739 Data size: 414960 Basic stats: COMPLETE Column stats: NONE + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select count(*) from (select c.ctinyint +from alltypesorc c +left outer join alltypesorc cd + on cd.cint = c.cint +left outer join alltypesorc hd + on hd.ctinyint = c.ctinyint +) t1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: select count(*) from (select c.ctinyint +from alltypesorc c +left outer join alltypesorc cd + on cd.cint = c.cint +left outer join alltypesorc hd + on hd.ctinyint = c.ctinyint +) t1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +225951785 Index: ql/src/test/results/clientpositive/spark/vector_string_concat.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vector_string_concat.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vector_string_concat.q.out (working copy) @@ -0,0 +1,164 @@ +PREHOOK: query: DROP TABLE over1k +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1k +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE over1korc +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE over1korc +POSTHOOK: type: DROPTABLE +PREHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1k +POSTHOOK: query: -- data setup +CREATE TABLE over1k(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +ROW FORMAT DELIMITED FIELDS TERMINATED BY '|' +STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1k +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@over1k +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/over1k' OVERWRITE INTO TABLE over1k +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@over1k +PREHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@over1korc +POSTHOOK: query: CREATE TABLE over1korc(t tinyint, + si smallint, + i int, + b bigint, + f float, + d double, + bo boolean, + s string, + ts timestamp, + dec decimal(4,2), + bin binary) +STORED AS ORC +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@over1korc +PREHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +PREHOOK: type: QUERY +PREHOOK: Input: default@over1k +PREHOOK: Output: default@over1korc +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: INSERT INTO TABLE over1korc SELECT * FROM over1k +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1k +POSTHOOK: Output: default@over1korc +POSTHOOK: Lineage: over1korc.b SIMPLE [(over1k)over1k.FieldSchema(name:b, type:bigint, comment:null), ] +POSTHOOK: Lineage: over1korc.bin SIMPLE [(over1k)over1k.FieldSchema(name:bin, type:binary, comment:null), ] +POSTHOOK: Lineage: over1korc.bo SIMPLE [(over1k)over1k.FieldSchema(name:bo, type:boolean, comment:null), ] +POSTHOOK: Lineage: over1korc.d SIMPLE [(over1k)over1k.FieldSchema(name:d, type:double, comment:null), ] +POSTHOOK: Lineage: over1korc.dec SIMPLE [(over1k)over1k.FieldSchema(name:dec, type:decimal(4,2), comment:null), ] +POSTHOOK: Lineage: over1korc.f SIMPLE [(over1k)over1k.FieldSchema(name:f, type:float, comment:null), ] +POSTHOOK: Lineage: over1korc.i SIMPLE [(over1k)over1k.FieldSchema(name:i, type:int, comment:null), ] +POSTHOOK: Lineage: over1korc.s SIMPLE [(over1k)over1k.FieldSchema(name:s, type:string, comment:null), ] +POSTHOOK: Lineage: over1korc.si SIMPLE [(over1k)over1k.FieldSchema(name:si, type:smallint, comment:null), ] +POSTHOOK: Lineage: over1korc.t SIMPLE [(over1k)over1k.FieldSchema(name:t, type:tinyint, comment:null), ] +POSTHOOK: Lineage: over1korc.ts SIMPLE [(over1k)over1k.FieldSchema(name:ts, type:timestamp, comment:null), ] +PREHOOK: query: EXPLAIN SELECT s AS `string`, + CONCAT(CONCAT(' ',s),' ') AS `none_padded_str`, + CONCAT(CONCAT('|',RTRIM(CONCAT(CONCAT(' ',s),' '))),'|') AS `none_z_rtrim_str` + FROM over1korc LIMIT 20 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT s AS `string`, + CONCAT(CONCAT(' ',s),' ') AS `none_padded_str`, + CONCAT(CONCAT('|',RTRIM(CONCAT(CONCAT(' ',s),' '))),'|') AS `none_z_rtrim_str` + FROM over1korc LIMIT 20 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-0 is a root stage + +STAGE PLANS: + Stage: Stage-0 + Fetch Operator + limit: 20 + Processor Tree: + TableScan + alias: over1korc + Statistics: Num rows: 229 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: s (type: string), concat(concat(' ', s), ' ') (type: string), concat(concat('|', rtrim(concat(concat(' ', s), ' '))), '|') (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 229 Data size: 22939 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 20 + Statistics: Num rows: 20 Data size: 2000 Basic stats: COMPLETE Column stats: NONE + ListSink + +PREHOOK: query: SELECT s AS `string`, + CONCAT(CONCAT(' ',s),' ') AS `none_padded_str`, + CONCAT(CONCAT('|',RTRIM(CONCAT(CONCAT(' ',s),' '))),'|') AS `none_z_rtrim_str` + FROM over1korc LIMIT 20 +PREHOOK: type: QUERY +PREHOOK: Input: default@over1korc +#### A masked pattern was here #### +POSTHOOK: query: SELECT s AS `string`, + CONCAT(CONCAT(' ',s),' ') AS `none_padded_str`, + CONCAT(CONCAT('|',RTRIM(CONCAT(CONCAT(' ',s),' '))),'|') AS `none_z_rtrim_str` + FROM over1korc LIMIT 20 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@over1korc +#### A masked pattern was here #### +bob davidson bob davidson | bob davidson| +alice zipper alice zipper | alice zipper| +katie davidson katie davidson | katie davidson| +xavier quirinius xavier quirinius | xavier quirinius| +nick robinson nick robinson | nick robinson| +tom hernandez tom hernandez | tom hernandez| +ulysses hernandez ulysses hernandez | ulysses hernandez| +priscilla ichabod priscilla ichabod | priscilla ichabod| +quinn van buren quinn van buren | quinn van buren| +luke laertes luke laertes | luke laertes| +xavier polk xavier polk | xavier polk| +zach falkner zach falkner | zach falkner| +quinn davidson quinn davidson | quinn davidson| +priscilla van buren priscilla van buren | priscilla van buren| +fred king fred king | fred king| +calvin ellison calvin ellison | calvin ellison| +sarah garcia sarah garcia | sarah garcia| +zach young zach young | zach young| +david underhill david underhill | david underhill| +yuri carson yuri carson | yuri carson| Index: ql/src/test/results/clientpositive/spark/vectorization_12.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_12.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_12.q.out (working copy) @@ -0,0 +1,598 @@ +PREHOOK: query: SELECT cbigint, + cboolean1, + cstring1, + ctimestamp1, + cdouble, + (-6432 * cdouble), + (-(cbigint)), + COUNT(cbigint), + (cbigint * COUNT(cbigint)), + STDDEV_SAMP(cbigint), + ((-6432 * cdouble) / -6432), + (-(((-6432 * cdouble) / -6432))), + AVG(cdouble), + (-((-6432 * cdouble))), + (-5638.15 + cbigint), + SUM(cbigint), + (AVG(cdouble) / (-6432 * cdouble)), + AVG(cdouble), + (-((-(((-6432 * cdouble) / -6432))))), + (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))), + STDDEV_POP(cdouble) +FROM alltypesorc +WHERE (((ctimestamp1 IS NULL) + AND ((cboolean1 >= cboolean2) + OR (ctinyint != csmallint))) + AND ((cstring1 LIKE '%a') + OR ((cboolean2 <= 1) + AND (cbigint >= csmallint)))) +GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble +ORDER BY ctimestamp1, cdouble, cbigint, cstring1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT cbigint, + cboolean1, + cstring1, + ctimestamp1, + cdouble, + (-6432 * cdouble), + (-(cbigint)), + COUNT(cbigint), + (cbigint * COUNT(cbigint)), + STDDEV_SAMP(cbigint), + ((-6432 * cdouble) / -6432), + (-(((-6432 * cdouble) / -6432))), + AVG(cdouble), + (-((-6432 * cdouble))), + (-5638.15 + cbigint), + SUM(cbigint), + (AVG(cdouble) / (-6432 * cdouble)), + AVG(cdouble), + (-((-(((-6432 * cdouble) / -6432))))), + (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))), + STDDEV_POP(cdouble) +FROM alltypesorc +WHERE (((ctimestamp1 IS NULL) + AND ((cboolean1 >= cboolean2) + OR (ctinyint != csmallint))) + AND ((cstring1 LIKE '%a') + OR ((cboolean2 <= 1) + AND (cbigint >= csmallint)))) +GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble +ORDER BY ctimestamp1, cdouble, cbigint, cstring1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +-1645852809 false eNsh5tYa NULL NULL NULL 1645852809 1 -1645852809 0.0 NULL NULL NULL NULL -1.64585844715E9 -1645852809 NULL NULL NULL NULL NULL +1864027286 true 2ArdYqML3654nUjGJk3 NULL -16379.0 1.05349728E8 -1864027286 1 1864027286 0.0 -16379.0 16379.0 -16379.0 -1.05349728E8 1.86402164785E9 1864027286 -1.554726368159204E-4 -16379.0 -16379.0 -1.05366107E8 0.0 +1864027286 true J6fBeMaj7b6M8 NULL -16221.0 1.04333472E8 -1864027286 1 1864027286 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14512.0 -9.3341184E7 -1864027286 1 1864027286 0.0 14512.0 -14512.0 14512.0 9.3341184E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14512.0 14512.0 9.3355696E7 0.0 +1864027286 true 100xJdkyc NULL 14519.0 -9.3386208E7 -1864027286 1 1864027286 0.0 14519.0 -14519.0 14519.0 9.3386208E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14519.0 14519.0 9.3400727E7 0.0 +1864027286 true F4e1XPV2Hwg7a3d3x530818 NULL 14688.0 -9.4473216E7 -1864027286 1 1864027286 0.0 14688.0 -14688.0 14688.0 9.4473216E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14688.0 14688.0 9.4487904E7 0.0 +1864027286 true 0oNy2Lac8mgIoM408U8bisc NULL 14705.0 -9.458256E7 -1864027286 1 1864027286 0.0 14705.0 -14705.0 14705.0 9.458256E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14705.0 14705.0 9.4597265E7 0.0 +1864027286 true k7RL0DH3Dj4218Jd NULL 14863.0 -9.5598816E7 -1864027286 1 1864027286 0.0 14863.0 -14863.0 14863.0 9.5598816E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14863.0 14863.0 9.5613679E7 0.0 +1864027286 true k1VX0eFh56x3ErERaS2y55B NULL 14909.0 -9.5894688E7 -1864027286 1 1864027286 0.0 14909.0 -14909.0 14909.0 9.5894688E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14909.0 14909.0 9.5909597E7 0.0 +1864027286 true R1VmJ10Ie NULL 14947.0 -9.6139104E7 -1864027286 1 1864027286 0.0 14947.0 -14947.0 14947.0 9.6139104E7 1.86402164785E9 1864027286 -1.554726368159204E-4 14947.0 14947.0 9.6154051E7 0.0 +1864027286 true 223qftA0b NULL 15017.0 -9.6589344E7 -1864027286 1 1864027286 0.0 15017.0 -15017.0 15017.0 9.6589344E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15017.0 15017.0 9.6604361E7 0.0 +1864027286 true 8tL4e4XE8jF2YLJ8l NULL 15061.0 -9.6872352E7 -1864027286 1 1864027286 0.0 15061.0 -15061.0 15061.0 9.6872352E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15061.0 15061.0 9.6887413E7 0.0 +1864027286 true Se4jyihvl80uOdFD NULL 15076.0 -9.6968832E7 -1864027286 1 1864027286 0.0 15076.0 -15076.0 15076.0 9.6968832E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15076.0 15076.0 9.6983908E7 0.0 +1864027286 true mA80hnUou50JMq0h65sf NULL 15088.0 -9.7046016E7 -1864027286 1 1864027286 0.0 15088.0 -15088.0 15088.0 9.7046016E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15088.0 15088.0 9.7061104E7 0.0 +1864027286 true QEF7UG67MDaTK504bNrF NULL 15217.0 -9.7875744E7 -1864027286 1 1864027286 0.0 15217.0 -15217.0 15217.0 9.7875744E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15217.0 15217.0 9.7890961E7 0.0 +1864027286 true xqa4i5EAo4CbOQjD NULL 15218.0 -9.7882176E7 -1864027286 1 1864027286 0.0 15218.0 -15218.0 15218.0 9.7882176E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15218.0 15218.0 9.7897394E7 0.0 +1864027286 true K26B60qNA761SuYdXKhu NULL 15278.0 -9.8268096E7 -1864027286 1 1864027286 0.0 15278.0 -15278.0 15278.0 9.8268096E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15278.0 15278.0 9.8283374E7 0.0 +1864027286 true dqSh2nXp NULL 15296.0 -9.8383872E7 -1864027286 1 1864027286 0.0 15296.0 -15296.0 15296.0 9.8383872E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15296.0 15296.0 9.8399168E7 0.0 +1864027286 true l4iq01SNoFl7kABN NULL 15311.0 -9.8480352E7 -1864027286 1 1864027286 0.0 15311.0 -15311.0 15311.0 9.8480352E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15311.0 15311.0 9.8495663E7 0.0 +1864027286 true E82GlbIr2v62H5d248gn662 NULL 15492.0 -9.9644544E7 -1864027286 1 1864027286 0.0 15492.0 -15492.0 15492.0 9.9644544E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15492.0 15492.0 9.9660036E7 0.0 +1864027286 true 7smvc50Lf0Vc75l0Aw1 NULL 15538.0 -9.9940416E7 -1864027286 1 1864027286 0.0 15538.0 -15538.0 15538.0 9.9940416E7 1.86402164785E9 1864027286 -1.554726368159204E-4 15538.0 15538.0 9.9955954E7 0.0 +1864027286 true 21I7qFxw2vnAO7N1R1yUMhr0 NULL 15604.0 -1.00364928E8 -1864027286 1 1864027286 0.0 15604.0 -15604.0 15604.0 1.00364928E8 1.86402164785E9 1864027286 -1.554726368159204E-4 15604.0 15604.0 1.00380532E8 0.0 +1864027286 true t66fkUkSNP78t2856Lcn NULL 15678.0 -1.00840896E8 -1864027286 1 1864027286 0.0 15678.0 -15678.0 15678.0 1.00840896E8 1.86402164785E9 1864027286 -1.554726368159204E-4 15678.0 15678.0 1.00856574E8 0.0 +1864027286 true 3t3EB NULL 15847.0 -1.01927904E8 -1864027286 1 1864027286 0.0 15847.0 -15847.0 15847.0 1.01927904E8 1.86402164785E9 1864027286 -1.554726368159204E-4 15847.0 15847.0 1.01943751E8 0.0 +1864027286 true 8r2TI3Svqra1Jc253gAYR3 NULL 15879.0 -1.02133728E8 -1864027286 1 1864027286 0.0 15879.0 -15879.0 15879.0 1.02133728E8 1.86402164785E9 1864027286 -1.554726368159204E-4 15879.0 15879.0 1.02149607E8 0.0 +1864027286 true U4MrN4CKBl84 NULL 15895.0 -1.0223664E8 -1864027286 1 1864027286 0.0 15895.0 -15895.0 15895.0 1.0223664E8 1.86402164785E9 1864027286 -1.554726368159204E-4 15895.0 15895.0 1.02252535E8 0.0 +1864027286 true I3F7N7s7M NULL 16011.0 -1.02982752E8 -1864027286 1 1864027286 0.0 16011.0 -16011.0 16011.0 1.02982752E8 1.86402164785E9 1864027286 -1.554726368159204E-4 16011.0 16011.0 1.02998763E8 0.0 Index: ql/src/test/results/clientpositive/spark/vectorization_13.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_13.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_13.q.out (working copy) @@ -0,0 +1,6135 @@ +PREHOOK: query: SELECT cboolean1, + ctinyint, + ctimestamp1, + cfloat, + cstring1, + (-(ctinyint)), + MAX(ctinyint), + ((-(ctinyint)) + MAX(ctinyint)), + SUM(cfloat), + (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))), + (-(SUM(cfloat))), + (79.553 * cfloat), + STDDEV_POP(cfloat), + (-(SUM(cfloat))), + STDDEV_POP(ctinyint), + (((-(ctinyint)) + MAX(ctinyint)) - 10.175), + (-((-(SUM(cfloat))))), + (-26.28 / (-((-(SUM(cfloat)))))), + MAX(cfloat), + ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint), + MIN(ctinyint) +FROM alltypesorc +WHERE (((cfloat < 3569) + AND ((10.175 >= cdouble) + AND (cboolean1 != 1))) + OR ((ctimestamp1 > -29071) + AND ((ctimestamp2 != -29071) + AND (ctinyint < 9763215.5639)))) +GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT cboolean1, + ctinyint, + ctimestamp1, + cfloat, + cstring1, + (-(ctinyint)), + MAX(ctinyint), + ((-(ctinyint)) + MAX(ctinyint)), + SUM(cfloat), + (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))), + (-(SUM(cfloat))), + (79.553 * cfloat), + STDDEV_POP(cfloat), + (-(SUM(cfloat))), + STDDEV_POP(ctinyint), + (((-(ctinyint)) + MAX(ctinyint)) - 10.175), + (-((-(SUM(cfloat))))), + (-26.28 / (-((-(SUM(cfloat)))))), + MAX(cfloat), + ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint), + MIN(ctinyint) +FROM alltypesorc +WHERE (((cfloat < 3569) + AND ((10.175 >= cdouble) + AND (cboolean1 != 1))) + OR ((ctimestamp1 > -29071) + AND ((ctimestamp2 != -29071) + AND (ctinyint < 9763215.5639)))) +GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +true -44 1969-12-31 15:59:52.735 -44.0 821UdmGbkEf4j 44 -44 0 -44.0 -0.0 44.0 -3500.332 0.0 44.0 0.0 -10.175 -44.0 0.5972727272727273 -44.0 0.0 -44 +true -23 1969-12-31 16:00:00.707 -23.0 821UdmGbkEf4j 23 -23 0 -23.0 -0.0 23.0 -1829.719 0.0 23.0 0.0 -10.175 -23.0 1.142608695652174 -23.0 0.0 -23 +true 42 1969-12-31 15:59:56.484 42.0 cvLH6Eat2yFsyy7p -42 42 0 42.0 0.0 -42.0 3341.2259999999997 0.0 -42.0 0.0 -10.175 42.0 -0.6257142857142858 42.0 0.0 42 +NULL 17 1969-12-31 15:59:56.084 17.0 NULL -17 17 0 17.0 0.0 -17.0 1352.4009999999998 0.0 -17.0 0.0 -10.175 17.0 -1.5458823529411765 17.0 0.0 17 +true 27 1969-12-31 16:00:09.093 27.0 1cGVWH7n1QU -27 27 0 27.0 0.0 -27.0 2147.931 0.0 -27.0 0.0 -10.175 27.0 -0.9733333333333334 27.0 0.0 27 +NULL -44 1969-12-31 16:00:03.002 -44.0 NULL 44 -44 0 -44.0 -0.0 44.0 -3500.332 0.0 44.0 0.0 -10.175 -44.0 0.5972727272727273 -44.0 0.0 -44 +true 2 1969-12-31 16:00:01.703 2.0 821UdmGbkEf4j -2 2 0 2.0 0.0 -2.0 159.106 0.0 -2.0 0.0 -10.175 2.0 -13.14 2.0 0.0 2 +NULL -37 1969-12-31 16:00:11.241 -37.0 NULL 37 -37 0 -37.0 -0.0 37.0 -2943.461 0.0 37.0 0.0 -10.175 -37.0 0.7102702702702703 -37.0 0.0 -37 +true -49 1969-12-31 16:00:10.097 -49.0 cvLH6Eat2yFsyy7p 49 -49 0 -49.0 -0.0 49.0 -3898.0969999999998 0.0 49.0 0.0 -10.175 -49.0 0.5363265306122449 -49.0 0.0 -49 +true 18 1969-12-31 16:00:10.553 18.0 821UdmGbkEf4j -18 18 0 18.0 0.0 -18.0 1431.954 0.0 -18.0 0.0 -10.175 18.0 -1.46 18.0 0.0 18 +true 49 1969-12-31 16:00:04.128 49.0 821UdmGbkEf4j -49 49 0 49.0 0.0 -49.0 3898.0969999999998 0.0 -49.0 0.0 -10.175 49.0 -0.5363265306122449 49.0 0.0 49 +true 33 1969-12-31 15:59:54.503 33.0 821UdmGbkEf4j -33 33 0 33.0 0.0 -33.0 2625.249 0.0 -33.0 0.0 -10.175 33.0 -0.7963636363636364 33.0 0.0 33 +true 46 1969-12-31 16:00:05.211 46.0 821UdmGbkEf4j -46 46 0 46.0 0.0 -46.0 3659.438 0.0 -46.0 0.0 -10.175 46.0 -0.571304347826087 46.0 0.0 46 +NULL 53 1969-12-31 15:59:49.46 53.0 NULL -53 53 0 53.0 0.0 -53.0 4216.309 0.0 -53.0 0.0 -10.175 53.0 -0.4958490566037736 53.0 0.0 53 +true 45 1969-12-31 15:59:49.767 45.0 1cGVWH7n1QU -45 45 0 45.0 0.0 -45.0 3579.8849999999998 0.0 -45.0 0.0 -10.175 45.0 -0.5840000000000001 45.0 0.0 45 +true 10 1969-12-31 15:59:45.322 10.0 cvLH6Eat2yFsyy7p -10 10 0 10.0 0.0 -10.0 795.53 0.0 -10.0 0.0 -10.175 10.0 -2.628 10.0 0.0 10 +true 22 1969-12-31 15:59:46.714 22.0 821UdmGbkEf4j -22 22 0 22.0 0.0 -22.0 1750.166 0.0 -22.0 0.0 -10.175 22.0 -1.1945454545454546 22.0 0.0 22 +NULL -16 1969-12-31 15:59:55.61 -16.0 NULL 16 -16 0 -16.0 -0.0 16.0 -1272.848 0.0 16.0 0.0 -10.175 -16.0 1.6425 -16.0 0.0 -16 +true 5 1969-12-31 15:59:57.998 5.0 821UdmGbkEf4j -5 5 0 5.0 0.0 -5.0 397.765 0.0 -5.0 0.0 -10.175 5.0 -5.256 5.0 0.0 5 +NULL 5 1969-12-31 16:00:06.877 5.0 NULL -5 5 0 5.0 0.0 -5.0 397.765 0.0 -5.0 0.0 -10.175 5.0 -5.256 5.0 0.0 5 +NULL 33 1969-12-31 16:00:07.006 33.0 NULL -33 33 0 33.0 0.0 -33.0 2625.249 0.0 -33.0 0.0 -10.175 33.0 -0.7963636363636364 33.0 0.0 33 +true -35 1969-12-31 16:00:15.328 -35.0 821UdmGbkEf4j 35 -35 0 -35.0 -0.0 35.0 -2784.355 0.0 35.0 0.0 -10.175 -35.0 0.7508571428571429 -35.0 0.0 -35 +NULL 47 1969-12-31 16:00:11.165 47.0 NULL -47 47 0 47.0 0.0 -47.0 3738.991 0.0 -47.0 0.0 -10.175 47.0 -0.5591489361702128 47.0 0.0 47 +NULL 30 1969-12-31 15:59:45.016 30.0 NULL -30 30 0 30.0 0.0 -30.0 2386.59 0.0 -30.0 0.0 -10.175 30.0 -0.876 30.0 0.0 30 +true 49 1969-12-31 15:59:46.336 49.0 821UdmGbkEf4j -49 49 0 49.0 0.0 -49.0 3898.0969999999998 0.0 -49.0 0.0 -10.175 49.0 -0.5363265306122449 49.0 0.0 49 +true -2 1969-12-31 15:59:51.053 -2.0 821UdmGbkEf4j 2 -2 0 -2.0 -0.0 2.0 -159.106 0.0 2.0 0.0 -10.175 -2.0 13.14 -2.0 0.0 -2 +NULL 45 1969-12-31 16:00:16.167 45.0 NULL -45 45 0 45.0 0.0 -45.0 3579.8849999999998 0.0 -45.0 0.0 -10.175 45.0 -0.5840000000000001 45.0 0.0 45 +true -6 1969-12-31 16:00:11.511 -6.0 cvLH6Eat2yFsyy7p 6 -6 0 -6.0 -0.0 6.0 -477.318 0.0 6.0 0.0 -10.175 -6.0 4.38 -6.0 0.0 -6 +true -4 1969-12-31 16:00:14.16 -4.0 1cGVWH7n1QU 4 -4 0 -4.0 -0.0 4.0 -318.212 0.0 4.0 0.0 -10.175 -4.0 6.57 -4.0 0.0 -4 +NULL -57 1969-12-31 15:59:52.833 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57 +NULL 57 1969-12-31 16:00:03.351 57.0 NULL -57 57 0 57.0 0.0 -57.0 4534.521 0.0 -57.0 0.0 -10.175 57.0 -0.4610526315789474 57.0 0.0 57 +NULL -40 1969-12-31 16:00:06.489 -40.0 NULL 40 -40 0 -40.0 -0.0 40.0 -3182.12 0.0 40.0 0.0 -10.175 -40.0 0.657 -40.0 0.0 -40 +true 35 1969-12-31 16:00:09.647 35.0 1cGVWH7n1QU -35 35 0 35.0 0.0 -35.0 2784.355 0.0 -35.0 0.0 -10.175 35.0 -0.7508571428571429 35.0 0.0 35 +NULL -21 1969-12-31 16:00:03.31 -21.0 NULL 21 -21 0 -21.0 -0.0 21.0 -1670.6129999999998 0.0 21.0 0.0 -10.175 -21.0 1.2514285714285716 -21.0 0.0 -21 +NULL 40 1969-12-31 16:00:00.258 40.0 NULL -40 40 0 40.0 0.0 -40.0 3182.12 0.0 -40.0 0.0 -10.175 40.0 -0.657 40.0 0.0 40 +NULL 56 1969-12-31 15:59:51.711 56.0 NULL -56 56 0 56.0 0.0 -56.0 4454.968 0.0 -56.0 0.0 -10.175 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57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57 +NULL 12 1969-12-31 15:59:46.762 12.0 NULL -12 12 0 12.0 0.0 -12.0 954.636 0.0 -12.0 0.0 -10.175 12.0 -2.19 12.0 0.0 12 +true 12 1969-12-31 15:59:51.226 12.0 cvLH6Eat2yFsyy7p -12 12 0 12.0 0.0 -12.0 954.636 0.0 -12.0 0.0 -10.175 12.0 -2.19 12.0 0.0 12 +true 53 1969-12-31 16:00:05.393 53.0 821UdmGbkEf4j -53 53 0 53.0 0.0 -53.0 4216.309 0.0 -53.0 0.0 -10.175 53.0 -0.4958490566037736 53.0 0.0 53 +NULL 35 1969-12-31 15:59:48.022 35.0 NULL -35 35 0 35.0 0.0 -35.0 2784.355 0.0 -35.0 0.0 -10.175 35.0 -0.7508571428571429 35.0 0.0 35 +NULL 17 1969-12-31 16:00:00.284 10.175 NULL -17 17 0 10.175000190734863 0.0 -10.175000190734863 809.4517901735305 0.0 -10.175000190734863 0.0 -10.175 10.175000190734863 -2.58280093438524 10.175 0.0 17 +NULL 38 1969-12-31 16:00:11.028 38.0 NULL -38 38 0 38.0 0.0 -38.0 3023.014 0.0 -38.0 0.0 -10.175 38.0 -0.6915789473684211 38.0 0.0 38 +true -49 1969-12-31 15:59:53.731 -49.0 821UdmGbkEf4j 49 -49 0 -49.0 -0.0 49.0 -3898.0969999999998 0.0 49.0 0.0 -10.175 -49.0 0.5363265306122449 -49.0 0.0 -49 +NULL -10 1969-12-31 15:59:44.008 -10.0 NULL 10 -10 0 -10.0 -0.0 10.0 -795.53 0.0 10.0 0.0 -10.175 -10.0 2.628 -10.0 0.0 -10 +true 59 1969-12-31 15:59:55.023 59.0 821UdmGbkEf4j -59 59 0 59.0 0.0 -59.0 4693.6269999999995 0.0 -59.0 0.0 -10.175 59.0 -0.44542372881355935 59.0 0.0 59 +NULL -1 1969-12-31 16:00:09.511 -1.0 NULL 1 -1 0 -1.0 -0.0 1.0 -79.553 0.0 1.0 0.0 -10.175 -1.0 26.28 -1.0 0.0 -1 +true -40 1969-12-31 15:59:52.647 -40.0 cvLH6Eat2yFsyy7p 40 -40 0 -40.0 -0.0 40.0 -3182.12 0.0 40.0 0.0 -10.175 -40.0 0.657 -40.0 0.0 -40 +NULL 1 1969-12-31 16:00:10.364 1.0 NULL -1 1 0 1.0 0.0 -1.0 79.553 0.0 -1.0 0.0 -10.175 1.0 -26.28 1.0 0.0 1 +true 8 1969-12-31 16:00:08.749 8.0 1cGVWH7n1QU -8 8 0 8.0 0.0 -8.0 636.424 0.0 -8.0 0.0 -10.175 8.0 -3.285 8.0 0.0 8 +true 34 1969-12-31 16:00:01.975 34.0 1cGVWH7n1QU -34 34 0 34.0 0.0 -34.0 2704.8019999999997 0.0 -34.0 0.0 -10.175 34.0 -0.7729411764705882 34.0 0.0 34 +NULL 57 1969-12-31 15:59:45.591 57.0 NULL -57 57 0 57.0 0.0 -57.0 4534.521 0.0 -57.0 0.0 -10.175 57.0 -0.4610526315789474 57.0 0.0 57 +true 13 1969-12-31 16:00:08.799 13.0 1cGVWH7n1QU -13 13 0 13.0 0.0 -13.0 1034.1889999999999 0.0 -13.0 0.0 -10.175 13.0 -2.0215384615384617 13.0 0.0 13 +NULL 24 1969-12-31 16:00:01.369 24.0 NULL -24 24 0 24.0 0.0 -24.0 1909.272 0.0 -24.0 0.0 -10.175 24.0 -1.095 24.0 0.0 24 +NULL 37 1969-12-31 16:00:14.674 37.0 NULL -37 37 0 37.0 0.0 -37.0 2943.461 0.0 -37.0 0.0 -10.175 37.0 -0.7102702702702703 37.0 0.0 37 +true -25 1969-12-31 16:00:07.101 -25.0 1cGVWH7n1QU 25 -25 0 -25.0 -0.0 25.0 -1988.8249999999998 0.0 25.0 0.0 -10.175 -25.0 1.0512000000000001 -25.0 0.0 -25 +NULL 29 1969-12-31 15:59:50.281 29.0 NULL -29 29 0 29.0 0.0 -29.0 2307.037 0.0 -29.0 0.0 -10.175 29.0 -0.9062068965517242 29.0 0.0 29 +NULL 29 1969-12-31 15:59:47.984 29.0 NULL -29 29 0 29.0 0.0 -29.0 2307.037 0.0 -29.0 0.0 -10.175 29.0 -0.9062068965517242 29.0 0.0 29 +NULL 2 1969-12-31 16:00:00.45 2.0 NULL -2 2 0 2.0 0.0 -2.0 159.106 0.0 -2.0 0.0 -10.175 2.0 -13.14 2.0 0.0 2 Index: ql/src/test/results/clientpositive/spark/vectorization_14.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_14.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_14.q.out (working copy) @@ -0,0 +1,829 @@ +PREHOOK: query: EXPLAIN +SELECT ctimestamp1, + cfloat, + cstring1, + cboolean1, + cdouble, + (-26.28 + cdouble), + (-((-26.28 + cdouble))), + STDDEV_SAMP((-((-26.28 + cdouble)))), + (cfloat * -26.28), + MAX(cfloat), + (-(cfloat)), + (-(MAX(cfloat))), + ((-((-26.28 + cdouble))) / 10.175), + STDDEV_POP(cfloat), + COUNT(cfloat), + (-(((-((-26.28 + cdouble))) / 10.175))), + (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))), + (cfloat - cdouble), + VAR_POP(cfloat), + (VAR_POP(cfloat) % 10.175), + VAR_SAMP(cfloat), + (-((cfloat - cdouble))) +FROM alltypesorc +WHERE (((ctinyint <= cbigint) + AND ((cint <= cdouble) + OR (ctimestamp2 < ctimestamp1))) + AND ((cdouble < ctinyint) + AND ((cbigint > -257) + OR (cfloat < cint)))) +GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble +ORDER BY cstring1, cfloat, cdouble, ctimestamp1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN +SELECT ctimestamp1, + cfloat, + cstring1, + cboolean1, + cdouble, + (-26.28 + cdouble), + (-((-26.28 + cdouble))), + STDDEV_SAMP((-((-26.28 + cdouble)))), + (cfloat * -26.28), + MAX(cfloat), + (-(cfloat)), + (-(MAX(cfloat))), + ((-((-26.28 + cdouble))) / 10.175), + STDDEV_POP(cfloat), + COUNT(cfloat), + (-(((-((-26.28 + cdouble))) / 10.175))), + (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))), + (cfloat - cdouble), + VAR_POP(cfloat), + (VAR_POP(cfloat) % 10.175), + VAR_SAMP(cfloat), + (-((cfloat - cdouble))) +FROM alltypesorc +WHERE (((ctinyint <= cbigint) + AND ((cint <= cdouble) + OR (ctimestamp2 < ctimestamp1))) + AND ((cdouble < ctinyint) + AND ((cbigint > -257) + OR (cfloat < cint)))) +GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble +ORDER BY cstring1, cfloat, cdouble, ctimestamp1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 1779 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((((ctinyint <= cbigint) and ((cint <= cdouble) or (ctimestamp2 < ctimestamp1))) and (cdouble < ctinyint)) and ((cbigint > -257) or (cfloat < cint))) (type: boolean) + Statistics: Num rows: 86 Data size: 18236 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double) + outputColumnNames: ctimestamp1, cfloat, cstring1, cboolean1, cdouble + Statistics: Num rows: 86 Data size: 18236 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: stddev_samp((- ((- 26.28) + cdouble))), max(cfloat), stddev_pop(cfloat), count(cfloat), var_pop(cfloat), var_samp(cfloat) + keys: ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 86 Data size: 18236 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: timestamp), _col1 (type: float), _col2 (type: string), _col3 (type: boolean), _col4 (type: double) + sort order: +++++ + Map-reduce partition columns: _col0 (type: timestamp), _col1 (type: float), _col2 (type: string), _col3 (type: boolean), _col4 (type: double) + Statistics: Num rows: 86 Data size: 18236 Basic stats: COMPLETE Column stats: NONE + value expressions: _col5 (type: struct), _col6 (type: float), _col7 (type: struct), _col8 (type: bigint), _col9 (type: struct), _col10 (type: struct) + Reducer 2 + Reduce Operator Tree: + Group By Operator + aggregations: stddev_samp(VALUE._col0), max(VALUE._col1), stddev_pop(VALUE._col2), count(VALUE._col3), var_pop(VALUE._col4), var_samp(VALUE._col5) + keys: KEY._col0 (type: timestamp), KEY._col1 (type: float), KEY._col2 (type: string), KEY._col3 (type: boolean), KEY._col4 (type: double) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 43 Data size: 9118 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: timestamp), _col1 (type: float), _col2 (type: string), _col3 (type: boolean), _col4 (type: double), (-26.28 + _col4) (type: double), (- (-26.28 + _col4)) (type: double), _col5 (type: double), (_col1 * -26.28) (type: double), _col6 (type: float), (- _col1) (type: float), (- _col6) (type: float), ((- (-26.28 + _col4)) / 10.175) (type: double), _col7 (type: double), _col8 (type: bigint), (- ((- (-26.28 + _col4)) / 10.175)) (type: double), (-1.389 % _col5) (type: double), (_col1 - _col4) (type: double), _col9 (type: double), (_col9 % 10.175) (type: double), _col10 (type: double), (- (_col1 - _col4)) (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21 + Statistics: Num rows: 43 Data size: 9118 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: float), _col4 (type: double), _col0 (type: timestamp) + sort order: ++++ + Statistics: Num rows: 43 Data size: 9118 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: boolean), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: double), _col9 (type: float), _col10 (type: float), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: bigint), _col15 (type: double), _col16 (type: double), _col17 (type: double), _col18 (type: double), _col19 (type: double), _col20 (type: double), _col21 (type: double) + Reducer 3 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey3 (type: timestamp), KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: string), VALUE._col0 (type: boolean), KEY.reducesinkkey2 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: float), VALUE._col6 (type: float), VALUE._col7 (type: float), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: bigint), VALUE._col11 (type: double), VALUE._col12 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: double), VALUE._col15 (type: double), VALUE._col16 (type: double), VALUE._col17 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21 + Statistics: Num rows: 43 Data size: 9118 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 43 Data size: 9118 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT ctimestamp1, + cfloat, + cstring1, + cboolean1, + cdouble, + (-26.28 + cdouble), + (-((-26.28 + cdouble))), + STDDEV_SAMP((-((-26.28 + cdouble)))), + (cfloat * -26.28), + MAX(cfloat), + (-(cfloat)), + (-(MAX(cfloat))), + ((-((-26.28 + cdouble))) / 10.175), + STDDEV_POP(cfloat), + COUNT(cfloat), + (-(((-((-26.28 + cdouble))) / 10.175))), + (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))), + (cfloat - cdouble), + VAR_POP(cfloat), + (VAR_POP(cfloat) % 10.175), + VAR_SAMP(cfloat), + (-((cfloat - cdouble))) +FROM alltypesorc +WHERE (((ctinyint <= cbigint) + AND ((cint <= cdouble) + OR (ctimestamp2 < ctimestamp1))) + AND ((cdouble < ctinyint) + AND ((cbigint > -257) + OR (cfloat < cint)))) +GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble +ORDER BY cstring1, cfloat, cdouble, ctimestamp1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT ctimestamp1, + cfloat, + cstring1, + cboolean1, + cdouble, + (-26.28 + cdouble), + (-((-26.28 + cdouble))), + STDDEV_SAMP((-((-26.28 + cdouble)))), + (cfloat * -26.28), + MAX(cfloat), + (-(cfloat)), + (-(MAX(cfloat))), + ((-((-26.28 + cdouble))) / 10.175), + STDDEV_POP(cfloat), + COUNT(cfloat), + (-(((-((-26.28 + cdouble))) / 10.175))), + (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))), + (cfloat - cdouble), + VAR_POP(cfloat), + (VAR_POP(cfloat) % 10.175), + VAR_SAMP(cfloat), + (-((cfloat - cdouble))) +FROM alltypesorc +WHERE (((ctinyint <= cbigint) + AND ((cint <= cdouble) + OR (ctimestamp2 < ctimestamp1))) + AND ((cdouble < ctinyint) + AND ((cbigint > -257) + OR (cfloat < cint)))) +GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble +ORDER BY cstring1, cfloat, cdouble, ctimestamp1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +1969-12-31 16:00:00.29 -64.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 1681.92 -64.0 64.0 64.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7132.0 0.0 0.0 0.0 -7132.0 +1969-12-31 16:00:12.339 -64.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 1681.92 -64.0 64.0 64.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7132.0 0.0 0.0 0.0 -7132.0 +1969-12-31 16:00:00.199 -64.0 NULL NULL -200.0 -226.28 226.28 0.0 1681.92 -64.0 64.0 64.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 136.0 0.0 0.0 0.0 -136.0 +1969-12-31 16:00:03.944 -64.0 NULL NULL -200.0 -226.28 226.28 0.0 1681.92 -64.0 64.0 64.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 136.0 0.0 0.0 0.0 -136.0 +1969-12-31 15:59:57.693 -63.0 NULL NULL -200.0 -226.28 226.28 0.0 1655.64 -63.0 63.0 63.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 137.0 0.0 0.0 0.0 -137.0 +1969-12-31 16:00:06.852 -63.0 NULL NULL -200.0 -226.28 226.28 0.0 1655.64 -63.0 63.0 63.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 137.0 0.0 0.0 0.0 -137.0 +1969-12-31 16:00:15.436 -63.0 NULL NULL -200.0 -226.28 226.28 0.0 1655.64 -63.0 63.0 63.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 137.0 0.0 0.0 0.0 -137.0 +1969-12-31 16:00:01.22 -62.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 1629.3600000000001 -62.0 62.0 62.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7134.0 0.0 0.0 0.0 -7134.0 +1969-12-31 16:00:08.198 -62.0 NULL NULL -7196.0 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49.0 -49.0 -49.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 249.0 0.0 0.0 0.0 -249.0 +1969-12-31 16:00:05.369 49.0 NULL NULL -200.0 -226.28 226.28 0.0 -1287.72 49.0 -49.0 -49.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 249.0 0.0 0.0 0.0 -249.0 +1969-12-31 16:00:08.726 49.0 NULL NULL -200.0 -226.28 226.28 0.0 -1287.72 49.0 -49.0 -49.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 249.0 0.0 0.0 0.0 -249.0 +1969-12-31 16:00:00.022 50.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1314.0 50.0 -50.0 -50.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7246.0 0.0 0.0 0.0 -7246.0 +1969-12-31 16:00:05.051 50.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1314.0 50.0 -50.0 -50.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7246.0 0.0 0.0 0.0 -7246.0 +1969-12-31 16:00:06.371 50.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1314.0 50.0 -50.0 -50.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7246.0 0.0 0.0 0.0 -7246.0 +1969-12-31 16:00:08.38 50.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1314.0 50.0 -50.0 -50.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7246.0 0.0 0.0 0.0 -7246.0 +1969-12-31 15:59:55.491 50.0 NULL NULL -200.0 -226.28 226.28 0.0 -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 0.0 -250.0 +1969-12-31 15:59:57.847 50.0 NULL NULL -200.0 -226.28 226.28 0.0 -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 0.0 -250.0 +1969-12-31 16:00:04.228 50.0 NULL NULL -200.0 -226.28 226.28 0.0 -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 0.0 -250.0 +1969-12-31 16:00:06.906 51.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1340.28 51.0 -51.0 -51.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7247.0 0.0 0.0 0.0 -7247.0 +1969-12-31 16:00:10.321 51.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1340.28 51.0 -51.0 -51.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7247.0 0.0 0.0 0.0 -7247.0 +1969-12-31 16:00:15.668 51.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1340.28 51.0 -51.0 -51.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7247.0 0.0 0.0 0.0 -7247.0 +1969-12-31 16:00:00.147 51.0 NULL NULL -200.0 -226.28 226.28 0.0 -1340.28 51.0 -51.0 -51.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 251.0 0.0 0.0 0.0 -251.0 +1969-12-31 16:00:08.063 51.0 NULL NULL -200.0 -226.28 226.28 0.0 -1340.28 51.0 -51.0 -51.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 251.0 0.0 0.0 0.0 -251.0 +1969-12-31 15:59:58.309 52.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1366.56 52.0 -52.0 -52.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7248.0 0.0 0.0 0.0 -7248.0 +1969-12-31 16:00:02.269 52.0 NULL NULL -200.0 -226.28 226.28 0.0 -1366.56 52.0 -52.0 -52.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 252.0 0.0 0.0 0.0 -252.0 +1969-12-31 16:00:04.024 52.0 NULL NULL -200.0 -226.28 226.28 0.0 -1366.56 52.0 -52.0 -52.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 252.0 0.0 0.0 0.0 -252.0 +1969-12-31 16:00:00.557 53.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1392.8400000000001 53.0 -53.0 -53.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7249.0 0.0 0.0 0.0 -7249.0 +1969-12-31 16:00:02.966 53.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1392.8400000000001 53.0 -53.0 -53.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7249.0 0.0 0.0 0.0 -7249.0 +1969-12-31 16:00:01.841 54.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7250.0 0.0 0.0 0.0 -7250.0 +1969-12-31 16:00:05.43 54.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7250.0 0.0 0.0 0.0 -7250.0 +1969-12-31 16:00:08.241 54.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7250.0 0.0 0.0 0.0 -7250.0 +1969-12-31 16:00:13.128 54.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7250.0 0.0 0.0 0.0 -7250.0 +1969-12-31 15:59:56.345 54.0 NULL NULL -200.0 -226.28 226.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 0.0 -254.0 +1969-12-31 15:59:57.434 54.0 NULL NULL -200.0 -226.28 226.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 0.0 -254.0 +1969-12-31 16:00:10.187 54.0 NULL NULL -200.0 -226.28 226.28 0.0 -1419.1200000000001 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 0.0 -254.0 +1969-12-31 15:59:56.776 55.0 NULL NULL -200.0 -226.28 226.28 0.0 -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 0.0 -255.0 +1969-12-31 16:00:08.191 55.0 NULL NULL -200.0 -226.28 226.28 0.0 -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 0.0 -255.0 +1969-12-31 16:00:10.601 55.0 NULL NULL -200.0 -226.28 226.28 0.0 -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 0.0 -255.0 +1969-12-31 16:00:14.709 55.0 NULL NULL -200.0 -226.28 226.28 0.0 -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 0.0 -255.0 +1969-12-31 16:00:15.035 55.0 NULL NULL -200.0 -226.28 226.28 0.0 -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 0.0 -255.0 +1969-12-31 16:00:00.909 56.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1471.68 56.0 -56.0 -56.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7252.0 0.0 0.0 0.0 -7252.0 +1969-12-31 15:59:57.56 56.0 NULL NULL -200.0 -226.28 226.28 0.0 -1471.68 56.0 -56.0 -56.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 256.0 0.0 0.0 0.0 -256.0 +1969-12-31 16:00:09.452 56.0 NULL NULL -200.0 -226.28 226.28 0.0 -1471.68 56.0 -56.0 -56.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 256.0 0.0 0.0 0.0 -256.0 +1969-12-31 16:00:01.811 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 16:00:07.361 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 16:00:07.907 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 16:00:09.441 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 16:00:12.523 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 16:00:15.76 57.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1497.96 57.0 -57.0 -57.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7253.0 0.0 0.0 0.0 -7253.0 +1969-12-31 15:59:58.455 57.0 NULL NULL -200.0 -226.28 226.28 0.0 -1497.96 57.0 -57.0 -57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 257.0 0.0 0.0 0.0 -257.0 +1969-12-31 16:00:00.363 57.0 NULL NULL -200.0 -226.28 226.28 0.0 -1497.96 57.0 -57.0 -57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 257.0 0.0 0.0 0.0 -257.0 +1969-12-31 16:00:03.066 57.0 NULL NULL -200.0 -226.28 226.28 0.0 -1497.96 57.0 -57.0 -57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 257.0 0.0 0.0 0.0 -257.0 +1969-12-31 16:00:14.076 57.0 NULL NULL -200.0 -226.28 226.28 0.0 -1497.96 57.0 -57.0 -57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 257.0 0.0 0.0 0.0 -257.0 +1969-12-31 16:00:14.013 58.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1524.24 58.0 -58.0 -58.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7254.0 0.0 0.0 0.0 -7254.0 +1969-12-31 16:00:13.801 58.0 NULL NULL -200.0 -226.28 226.28 0.0 -1524.24 58.0 -58.0 -58.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 258.0 0.0 0.0 0.0 -258.0 +1969-12-31 16:00:00.551 59.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1550.52 59.0 -59.0 -59.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7255.0 0.0 0.0 0.0 -7255.0 +1969-12-31 16:00:00.738 59.0 NULL NULL -200.0 -226.28 226.28 0.0 -1550.52 59.0 -59.0 -59.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 259.0 0.0 0.0 0.0 -259.0 +1969-12-31 16:00:01.496 59.0 NULL NULL -200.0 -226.28 226.28 0.0 -1550.52 59.0 -59.0 -59.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 259.0 0.0 0.0 0.0 -259.0 +1969-12-31 16:00:05.13 59.0 NULL NULL -200.0 -226.28 226.28 0.0 -1550.52 59.0 -59.0 -59.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 259.0 0.0 0.0 0.0 -259.0 +1969-12-31 16:00:13.71 60.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1576.8000000000002 60.0 -60.0 -60.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7256.0 0.0 0.0 0.0 -7256.0 +1969-12-31 16:00:06.811 60.0 NULL NULL -200.0 -226.28 226.28 0.0 -1576.8000000000002 60.0 -60.0 -60.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 260.0 0.0 0.0 0.0 -260.0 +1969-12-31 16:00:09.251 61.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7257.0 0.0 0.0 0.0 -7257.0 +1969-12-31 16:00:11.132 61.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7257.0 0.0 0.0 0.0 -7257.0 +1969-12-31 16:00:13.868 61.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7257.0 0.0 0.0 0.0 -7257.0 +1969-12-31 16:00:15.143 61.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7257.0 0.0 0.0 0.0 -7257.0 +1969-12-31 15:59:56.14 61.0 NULL NULL -200.0 -226.28 226.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 0.0 -261.0 +1969-12-31 15:59:56.929 61.0 NULL NULL -200.0 -226.28 226.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 0.0 -261.0 +1969-12-31 16:00:01.505 61.0 NULL NULL -200.0 -226.28 226.28 0.0 -1603.0800000000002 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 0.0 -261.0 +1969-12-31 16:00:02.38 62.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1629.3600000000001 62.0 -62.0 -62.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7258.0 0.0 0.0 0.0 -7258.0 +1969-12-31 16:00:12.36 62.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1629.3600000000001 62.0 -62.0 -62.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7258.0 0.0 0.0 0.0 -7258.0 +1969-12-31 16:00:12.762 62.0 NULL NULL -7196.0 -7222.28 7222.28 0.0 -1629.3600000000001 62.0 -62.0 -62.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7258.0 0.0 0.0 0.0 -7258.0 +1969-12-31 16:00:04.967 62.0 NULL NULL -200.0 -226.28 226.28 0.0 -1629.3600000000001 62.0 -62.0 -62.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 262.0 0.0 0.0 0.0 -262.0 +1969-12-31 16:00:07.828 62.0 NULL NULL -200.0 -226.28 226.28 0.0 -1629.3600000000001 62.0 -62.0 -62.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 262.0 0.0 0.0 0.0 -262.0 +1969-12-31 16:00:00.761 79.553 NULL NULL -7196.0 -7222.28 7222.28 0.0 -2090.65287689209 79.553 -79.553 -79.553 709.8063882063881 0.0 1 -709.8063882063881 NULL 7275.553001403809 0.0 0.0 0.0 -7275.553001403809 Index: ql/src/test/results/clientpositive/spark/vectorization_15.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_15.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_15.q.out (working copy) @@ -0,0 +1,246 @@ +PREHOOK: query: EXPLAIN +SELECT cfloat, + cboolean1, + cdouble, + cstring1, + ctinyint, + cint, + ctimestamp1, + STDDEV_SAMP(cfloat), + (-26.28 - cint), + MIN(cdouble), + (cdouble * 79.553), + (33 % cfloat), + STDDEV_SAMP(ctinyint), + VAR_POP(ctinyint), + (-23 % cdouble), + (-(ctinyint)), + VAR_SAMP(cint), + (cint - cfloat), + (-23 % ctinyint), + (-((-26.28 - cint))), + STDDEV_POP(cint) +FROM alltypesorc +WHERE (((cstring2 LIKE '%ss%') + OR (cstring1 LIKE '10%')) + OR ((cint >= -75) + AND ((ctinyint = csmallint) + AND (cdouble >= -3728)))) +GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN +SELECT cfloat, + cboolean1, + cdouble, + cstring1, + ctinyint, + cint, + ctimestamp1, + STDDEV_SAMP(cfloat), + (-26.28 - cint), + MIN(cdouble), + (cdouble * 79.553), + (33 % cfloat), + STDDEV_SAMP(ctinyint), + VAR_POP(ctinyint), + (-23 % cdouble), + (-(ctinyint)), + VAR_SAMP(cint), + (cint - cfloat), + (-23 % ctinyint), + (-((-26.28 - cint))), + STDDEV_POP(cint) +FROM alltypesorc +WHERE (((cstring2 LIKE '%ss%') + OR (cstring1 LIKE '10%')) + OR ((cint >= -75) + AND ((ctinyint = csmallint) + AND (cdouble >= -3728)))) +GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 1407 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (((cstring2 like '%ss%') or (cstring1 like '10%')) or ((cint >= -75) and ((ctinyint = csmallint) and (cdouble >= -3728)))) (type: boolean) + Statistics: Num rows: 1407 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cfloat (type: float), cboolean1 (type: boolean), cdouble (type: double), cstring1 (type: string), ctinyint (type: tinyint), cint (type: int), ctimestamp1 (type: timestamp) + outputColumnNames: cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 + Statistics: Num rows: 1407 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: stddev_samp(cfloat), min(cdouble), stddev_samp(ctinyint), var_pop(ctinyint), var_samp(cint), stddev_pop(cint) + keys: cfloat (type: float), cboolean1 (type: boolean), cdouble (type: double), cstring1 (type: string), ctinyint (type: tinyint), cint (type: int), ctimestamp1 (type: timestamp) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12 + Statistics: Num rows: 1407 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp) + sort order: +++++++ + Map-reduce partition columns: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp) + Statistics: Num rows: 1407 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + value expressions: _col7 (type: struct), _col8 (type: double), _col9 (type: struct), _col10 (type: struct), _col11 (type: struct), _col12 (type: struct) + Reducer 2 + Reduce Operator Tree: + Group By Operator + aggregations: stddev_samp(VALUE._col0), min(VALUE._col1), stddev_samp(VALUE._col2), var_pop(VALUE._col3), var_samp(VALUE._col4), stddev_pop(VALUE._col5) + keys: KEY._col0 (type: float), KEY._col1 (type: boolean), KEY._col2 (type: double), KEY._col3 (type: string), KEY._col4 (type: tinyint), KEY._col5 (type: int), KEY._col6 (type: timestamp) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12 + Statistics: Num rows: 703 Data size: 188484 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp), _col7 (type: double), (-26.28 - _col5) (type: double), _col8 (type: double), (_col2 * 79.553) (type: double), (33 % _col0) (type: float), _col9 (type: double), _col10 (type: double), (-23 % _col2) (type: double), (- _col4) (type: tinyint), _col11 (type: double), (_col5 - _col0) (type: float), (-23 % _col4) (type: int), (- (-26.28 - _col5)) (type: double), _col12 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20 + Statistics: Num rows: 703 Data size: 188484 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp) + sort order: +++++++ + Statistics: Num rows: 703 Data size: 188484 Basic stats: COMPLETE Column stats: NONE + value expressions: _col7 (type: double), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: tinyint), _col16 (type: double), _col17 (type: float), _col18 (type: int), _col19 (type: double), _col20 (type: double) + Reducer 3 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: float), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: tinyint), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey6 (type: timestamp), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: float), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: tinyint), VALUE._col9 (type: double), VALUE._col10 (type: float), VALUE._col11 (type: int), VALUE._col12 (type: double), VALUE._col13 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20 + Statistics: Num rows: 703 Data size: 188484 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 703 Data size: 188484 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT cfloat, + cboolean1, + cdouble, + cstring1, + ctinyint, + cint, + ctimestamp1, + STDDEV_SAMP(cfloat), + (-26.28 - cint), + MIN(cdouble), + (cdouble * 79.553), + (33 % cfloat), + STDDEV_SAMP(ctinyint), + VAR_POP(ctinyint), + (-23 % cdouble), + (-(ctinyint)), + VAR_SAMP(cint), + (cint - cfloat), + (-23 % ctinyint), + (-((-26.28 - cint))), + STDDEV_POP(cint) +FROM alltypesorc +WHERE (((cstring2 LIKE '%ss%') + OR (cstring1 LIKE '10%')) + OR ((cint >= -75) + AND ((ctinyint = csmallint) + AND (cdouble >= -3728)))) +GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT cfloat, + cboolean1, + cdouble, + cstring1, + ctinyint, + cint, + ctimestamp1, + STDDEV_SAMP(cfloat), + (-26.28 - cint), + MIN(cdouble), + (cdouble * 79.553), + (33 % cfloat), + STDDEV_SAMP(ctinyint), + VAR_POP(ctinyint), + (-23 % cdouble), + (-(ctinyint)), + VAR_SAMP(cint), + (cint - cfloat), + (-23 % ctinyint), + (-((-26.28 - cint))), + STDDEV_POP(cint) +FROM alltypesorc +WHERE (((cstring2 LIKE '%ss%') + OR (cstring1 LIKE '10%')) + OR ((cint >= -75) + AND ((ctinyint = csmallint) + AND (cdouble >= -3728)))) +GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +NULL false -13008.0 10 NULL -896629175 NULL NULL 8.9662914872E8 -13008.0 -1034825.424 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -8.9662914872E8 0.0 +NULL false -7707.0 10vke853 NULL 424959354 NULL NULL -4.2495938028E8 -7707.0 -613114.971 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 4.2495938028E8 0.0 +NULL false 2459.0 10 NULL -394064473 NULL NULL 3.9406444672E8 2459.0 195620.827 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -3.9406444672E8 0.0 +NULL false 14771.0 10 NULL 993788576 NULL NULL -9.9378860228E8 14771.0 1175077.363 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 9.9378860228E8 0.0 +NULL true -14674.0 105aFDAt30c4rI4U NULL -831072496 NULL NULL 8.3107246972E8 -14674.0 -1167360.722 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -8.3107246972E8 0.0 +NULL true -14640.0 101n6n461o NULL -819657767 NULL NULL 8.1965774072E8 -14640.0 -1164655.92 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -8.1965774072E8 0.0 +NULL true -9489.0 10Yr6 NULL 500274721 NULL NULL -5.0027474728E8 -9489.0 -754878.417 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 5.0027474728E8 0.0 +NULL true -7238.0 10ljXCFT6fG6Qi3S7414e NULL -256767096 NULL NULL 2.5676706972E8 -7238.0 -575804.614 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -2.5676706972E8 0.0 +NULL true 2261.0 10Hr5oB07Ohu0622u NULL 612000160 NULL NULL -6.1200018628E8 2261.0 179869.33299999998 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 6.1200018628E8 0.0 +NULL true 4516.0 10lL0XD6WP2x64f70N0fHmC1 NULL -974538365 NULL NULL 9.7453833872E8 4516.0 359261.348 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -9.7453833872E8 0.0 +NULL true 4767.0 10dUdwyXp5XwgpkTxLffmv3x NULL 187503456 NULL NULL -1.8750348228E8 4767.0 379229.151 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 1.8750348228E8 0.0 +NULL true 5658.0 10M3eGUsKVonbl70DyoCk25 NULL 486382507 NULL NULL -4.8638253328E8 5658.0 450110.874 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 4.8638253328E8 0.0 +NULL true 8659.0 1047piRsT3c3r134I NULL 487236176 NULL NULL -4.8723620228E8 8659.0 688849.427 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 4.8723620228E8 0.0 +NULL true 10419.0 10 NULL -721614386 NULL NULL 7.2161435972E8 10419.0 828862.7069999999 NULL NULL NULL -23.0 NULL 0.0 NULL NULL -7.2161435972E8 0.0 +NULL true 14519.0 100xJdkyc NULL 729277608 NULL NULL -7.2927763428E8 14519.0 1155030.007 NULL NULL NULL -23.0 NULL 0.0 NULL NULL 7.2927763428E8 0.0 +-62.0 NULL 15601.0 NULL -62 NULL 1969-12-31 16:00:09.889 0.0 NULL 15601.0 1241106.353 33.0 0.0 0.0 -23.0 62 NULL NULL -23 NULL NULL +-51.0 NULL -200.0 NULL -51 NULL 1969-12-31 15:59:55.423 0.0 NULL -200.0 -15910.599999999999 33.0 0.0 0.0 -23.0 51 NULL NULL -23 NULL NULL +-51.0 false NULL 10 -51 1058319346 1969-12-31 16:00:08.451 0.0 -1.05831937228E9 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 1.05831942E9 -23 1.05831937228E9 0.0 +-51.0 false NULL 10TYIE5S35U6dj3N -51 -469581869 1969-12-31 16:00:08.451 0.0 4.6958184272E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -4.69581792E8 -23 -4.6958184272E8 0.0 +-51.0 false NULL 1Lh6Uoq3WhNtOqQHu7WN7U -51 -352637533 1969-12-31 16:00:08.451 0.0 3.5263750672E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -3.52637472E8 -23 -3.5263750672E8 0.0 +-51.0 true NULL 04Y1mA17 -51 -114647521 1969-12-31 16:00:08.451 0.0 1.1464749472E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -1.14647472E8 -23 -1.1464749472E8 0.0 +-51.0 true NULL 10Wu570aLPO0p02P17FeH -51 405338893 1969-12-31 16:00:08.451 0.0 -4.0533891928E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 4.05338944E8 -23 4.0533891928E8 0.0 +-51.0 true NULL 3cQp060 -51 -226923315 1969-12-31 16:00:08.451 0.0 2.2692328872E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -2.26923264E8 -23 -2.2692328872E8 0.0 +-51.0 true NULL 8EPG0Xi307qd -51 -328662044 1969-12-31 16:00:08.451 0.0 3.2866201772E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -3.28661984E8 -23 -3.2866201772E8 0.0 +-51.0 true NULL 8iHtdkJ6d -51 1006818344 1969-12-31 16:00:08.451 0.0 -1.00681837028E9 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 1.00681843E9 -23 1.00681837028E9 0.0 +-51.0 true NULL QiOcvR0kt6r7f0R7fiPxQTCU -51 266531954 1969-12-31 16:00:08.451 0.0 -2.6653198028E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 2.66532E8 -23 2.6653198028E8 0.0 +-51.0 true NULL Ybpj38RTTYl7CnJXPNx1g4C -51 -370919370 1969-12-31 16:00:08.451 0.0 3.7091934372E8 NULL NULL 33.0 0.0 0.0 NULL 51 0.0 -3.70919296E8 -23 -3.7091934372E8 0.0 +-48.0 NULL -7196.0 NULL -48 NULL 1969-12-31 16:00:06.337 0.0 NULL -7196.0 -572463.388 33.0 0.0 0.0 -23.0 48 NULL NULL -23 NULL NULL +-6.0 NULL -200.0 NULL -6 NULL 1969-12-31 15:59:56.094 0.0 NULL -200.0 -15910.599999999999 3.0 0.0 0.0 -23.0 6 NULL NULL -5 NULL NULL +5.0 NULL 15601.0 NULL 5 NULL 1969-12-31 16:00:00.959 0.0 NULL 15601.0 1241106.353 3.0 0.0 0.0 -23.0 -5 NULL NULL -3 NULL NULL +8.0 false NULL 10V3pN5r5lI2qWl2lG103 8 -362835731 1969-12-31 16:00:15.892 0.0 3.6283570472E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -3.62835744E8 -7 -3.6283570472E8 0.0 +8.0 false NULL 10c4qt584m5y6uWT 8 -183000142 1969-12-31 16:00:15.892 0.0 1.8300011572E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -1.8300016E8 -7 -1.8300011572E8 0.0 +8.0 false NULL 8GloEukQ0c68JDmnYL53 8 -722873402 1969-12-31 16:00:15.892 0.0 7.2287337572E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -7.2287341E8 -7 -7.2287337572E8 0.0 +8.0 false NULL kA0XH5C5 8 -503903864 1969-12-31 16:00:15.892 0.0 5.0390383772E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -5.03903872E8 -7 -5.0390383772E8 0.0 +8.0 true NULL 100VTM7PEW8GH1uE 8 88129338 1969-12-31 16:00:15.892 0.0 -8.812936428E7 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 8.8129328E7 -7 8.812936428E7 0.0 +8.0 true NULL 1062158y 8 -1005155523 1969-12-31 16:00:15.892 0.0 1.00515549672E9 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -1.00515552E9 -7 -1.00515549672E9 0.0 +8.0 true NULL 1063cEnGjSal 8 -624769630 1969-12-31 16:00:15.892 0.0 6.2476960372E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 -6.247696E8 -7 -6.2476960372E8 0.0 +8.0 true NULL 4kMasVoB7lX1wc5i64bNk 8 683567667 1969-12-31 16:00:15.892 0.0 -6.8356769328E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 6.8356768E8 -7 6.8356769328E8 0.0 +8.0 true NULL XH6I7A417 8 436627202 1969-12-31 16:00:15.892 0.0 -4.3662722828E8 NULL NULL 1.0 0.0 0.0 NULL -8 0.0 4.366272E8 -7 4.3662722828E8 0.0 +11.0 false NULL 10pO8p1LNx4Y 11 271296824 1969-12-31 16:00:02.351 0.0 -2.7129685028E8 NULL NULL 0.0 0.0 0.0 NULL -11 0.0 2.71296832E8 -1 2.7129685028E8 0.0 +11.0 false NULL 1H6wGP 11 -560827082 1969-12-31 16:00:02.351 0.0 5.6082705572E8 NULL NULL 0.0 0.0 0.0 NULL -11 0.0 -5.6082707E8 -1 -5.6082705572E8 0.0 +11.0 false NULL 2a7V63IL7jK3o 11 -325931647 1969-12-31 16:00:02.351 0.0 3.2593162072E8 NULL NULL 0.0 0.0 0.0 NULL -11 0.0 -3.25931648E8 -1 -3.2593162072E8 0.0 +11.0 true NULL 10 11 92365813 1969-12-31 16:00:02.351 0.0 -9.236583928E7 NULL NULL 0.0 0.0 0.0 NULL -11 0.0 9.2365808E7 -1 9.236583928E7 0.0 +21.0 NULL 15601.0 NULL 21 NULL 1969-12-31 16:00:14.256 0.0 NULL 15601.0 1241106.353 12.0 0.0 0.0 -23.0 -21 NULL NULL -2 NULL NULL +32.0 NULL -200.0 NULL 32 NULL 1969-12-31 16:00:02.445 0.0 NULL -200.0 -15910.599999999999 1.0 0.0 0.0 -23.0 -32 NULL NULL -23 NULL NULL +36.0 NULL -200.0 NULL 36 NULL 1969-12-31 16:00:00.554 0.0 NULL -200.0 -15910.599999999999 33.0 0.0 0.0 -23.0 -36 NULL NULL -23 NULL NULL +58.0 NULL 15601.0 NULL 58 NULL 1969-12-31 15:59:56.527 0.0 NULL 15601.0 1241106.353 33.0 0.0 0.0 -23.0 -58 NULL NULL -23 NULL NULL Index: ql/src/test/results/clientpositive/spark/vectorization_9.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_9.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_9.q.out (working copy) @@ -0,0 +1,506 @@ +PREHOOK: query: EXPLAIN +SELECT cstring1, + cdouble, + ctimestamp1, + (cdouble - 9763215.5639), + (-((cdouble - 9763215.5639))), + COUNT(cdouble), + STDDEV_SAMP(cdouble), + (-(STDDEV_SAMP(cdouble))), + (STDDEV_SAMP(cdouble) * COUNT(cdouble)), + MIN(cdouble), + (9763215.5639 / cdouble), + (COUNT(cdouble) / -1.389), + STDDEV_SAMP(cdouble) +FROM alltypesorc +WHERE ((cstring2 LIKE '%b%') + AND ((cdouble >= -1.389) + OR (cstring1 < 'a'))) +GROUP BY cstring1, cdouble, ctimestamp1 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN +SELECT cstring1, + cdouble, + ctimestamp1, + (cdouble - 9763215.5639), + (-((cdouble - 9763215.5639))), + COUNT(cdouble), + STDDEV_SAMP(cdouble), + (-(STDDEV_SAMP(cdouble))), + (STDDEV_SAMP(cdouble) * COUNT(cdouble)), + MIN(cdouble), + (9763215.5639 / cdouble), + (COUNT(cdouble) / -1.389), + STDDEV_SAMP(cdouble) +FROM alltypesorc +WHERE ((cstring2 LIKE '%b%') + AND ((cdouble >= -1.389) + OR (cstring1 < 'a'))) +GROUP BY cstring1, cdouble, ctimestamp1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc + Statistics: Num rows: 1521 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((cstring2 like '%b%') and ((cdouble >= -1.389) or (cstring1 < 'a'))) (type: boolean) + Statistics: Num rows: 506 Data size: 125497 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cstring1 (type: string), cdouble (type: double), ctimestamp1 (type: timestamp) + outputColumnNames: cstring1, cdouble, ctimestamp1 + Statistics: Num rows: 506 Data size: 125497 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count(cdouble), stddev_samp(cdouble), min(cdouble) + keys: cstring1 (type: string), cdouble (type: double), ctimestamp1 (type: timestamp) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 506 Data size: 125497 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: double), _col2 (type: timestamp) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: double), _col2 (type: timestamp) + Statistics: Num rows: 506 Data size: 125497 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: bigint), _col4 (type: struct), _col5 (type: double) + Reducer 2 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), min(VALUE._col2) + keys: KEY._col0 (type: string), KEY._col1 (type: double), KEY._col2 (type: timestamp) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 253 Data size: 62748 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: double), _col2 (type: timestamp), (_col1 - 9763215.5639) (type: double), (- (_col1 - 9763215.5639)) (type: double), _col3 (type: bigint), _col4 (type: double), (- _col4) (type: double), (_col4 * _col3) (type: double), _col5 (type: double), (9763215.5639 / _col1) (type: double), (_col3 / -1.389) (type: double), _col4 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12 + Statistics: Num rows: 253 Data size: 62748 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 253 Data size: 62748 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + 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 alltypesorc +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@alltypesorc +#### 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 alltypesorc +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@alltypesorc +#### A masked pattern was here #### +62.0 NULL NULL 1969-12-31 16:00:04.967 -200.0 988888 1.0 NULL 200.0 -199.0 NULL -200.0 863223.5638999995 2363.58 +61.0 NULL NULL 1969-12-31 15:59:44.877 -7196.0 1661971 1.0 NULL 7196.0 -7195.0 NULL -7196.0 1453360.5638999995 -4632.42 +55.0 NULL NULL 1969-12-31 15:59:51.024 -200.0 4521993 1.0 NULL 200.0 -199.0 NULL -200.0 719229.5638999995 2363.58 +36.0 NULL NULL 1969-12-31 15:59:58.752 15601.0 4757615 1.0 NULL -15601.0 15602.0 NULL 15601.0 247985.56389999948 18164.58 +34.0 NULL NULL 1969-12-31 15:59:54.145 -7196.0 9288869 1.0 NULL 7196.0 -7195.0 NULL -7196.0 474346.5638999995 -4632.42 +46.0 NULL NULL 1969-12-31 15:59:46.028 -200.0 14115102 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +45.0 NULL NULL 1969-12-31 15:59:57.771 -7196.0 26143086 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +45.0 NULL NULL 1969-12-31 16:00:03.875 15601.0 29687887 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 +49.0 NULL NULL 1969-12-31 15:59:50.754 15601.0 46706681 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +47.0 NULL NULL 1969-12-31 16:00:01.694 -7196.0 58767695 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +54.0 NULL NULL 1969-12-31 16:00:01.841 -7196.0 59525273 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +42.0 NULL NULL 1969-12-31 16:00:11.758 -7196.0 83253614 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +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 +54.0 NULL NULL 1969-12-31 15:59:57.434 -200.0 108833936 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +39.0 NULL NULL 1969-12-31 15:59:46.368 -200.0 112950540 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +52.0 NULL NULL 1969-12-31 15:59:54.179 15601.0 113813447 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +50.0 NULL NULL 1969-12-31 16:00:05.051 -7196.0 114074001 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +57.0 NULL NULL 1969-12-31 16:00:12.523 -7196.0 118933574 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +56.0 NULL NULL 1969-12-31 15:59:45.198 -7196.0 131812689 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +41.0 NULL NULL 1969-12-31 16:00:14.017 15601.0 137074296 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 +57.0 NULL NULL 1969-12-31 15:59:46.195 -7196.0 157777745 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +49.0 NULL NULL 1969-12-31 16:00:10.173 15601.0 172978219 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 16:00:12.36 -7196.0 176172843 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +55.0 NULL NULL 1969-12-31 16:00:15.035 -200.0 180810790 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +40.0 NULL NULL 1969-12-31 15:59:45.707 -200.0 183831674 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +39.0 NULL NULL 1969-12-31 16:00:10.575 15601.0 186460538 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +59.0 NULL NULL 1969-12-31 15:59:44.549 -200.0 188494759 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +60.0 NULL NULL 1969-12-31 15:59:53.274 -200.0 190449983 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +51.0 NULL NULL 1969-12-31 16:00:08.063 -200.0 194106296 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +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 +58.0 NULL NULL 1969-12-31 15:59:46.056 15601.0 235428680 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +46.0 NULL NULL 1969-12-31 16:00:01.388 -7196.0 242119227 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +41.0 NULL NULL 1969-12-31 15:59:44.669 -7196.0 253244734 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +39.0 NULL NULL 1969-12-31 16:00:07.541 -200.0 260798405 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +47.0 NULL NULL 1969-12-31 15:59:54.438 -7196.0 265927514 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +45.0 NULL NULL 1969-12-31 16:00:01.005 15601.0 270402394 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +46.0 NULL NULL 1969-12-31 16:00:05.226 -7196.0 275575541 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +38.0 NULL NULL 1969-12-31 16:00:16.279 15601.0 299342203 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +58.0 NULL NULL 1969-12-31 16:00:12.924 15601.0 300682807 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +43.0 NULL NULL 1969-12-31 15:59:45.546 -200.0 313484894 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +40.0 NULL NULL 1969-12-31 16:00:15.311 -7196.0 316847321 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +54.0 NULL NULL 1969-12-31 15:59:44.646 -7196.0 324834827 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 15:59:45.198 -200.0 326580052 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +53.0 NULL NULL 1969-12-31 16:00:02.966 -7196.0 332635492 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +39.0 NULL NULL 1969-12-31 15:59:47.616 15601.0 333745628 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +39.0 NULL NULL 1969-12-31 16:00:01.122 15601.0 345989051 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +56.0 NULL NULL 1969-12-31 15:59:44.707 -7196.0 350999879 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +40.0 NULL NULL 1969-12-31 15:59:48.045 15601.0 364112219 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +54.0 NULL NULL 1969-12-31 16:00:08.241 -7196.0 381343252 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +55.0 NULL NULL 1969-12-31 15:59:51.884 -200.0 391675186 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 +48.0 NULL NULL 1969-12-31 15:59:56.394 15601.0 400830823 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +57.0 NULL NULL 1969-12-31 16:00:07.361 -7196.0 418917539 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 +40.0 NULL NULL 1969-12-31 15:59:49.23 -7196.0 437984126 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +41.0 NULL NULL 1969-12-31 16:00:00.469 15601.0 439625822 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 +55.0 NULL NULL 1969-12-31 16:00:00.124 15601.0 448409948 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +59.0 NULL NULL 1969-12-31 16:00:00.738 -200.0 455272113 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +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 +55.0 NULL NULL 1969-12-31 15:59:56.568 -7196.0 468599417 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +40.0 NULL NULL 1969-12-31 16:00:00.258 15601.0 472680102 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +54.0 NULL NULL 1969-12-31 16:00:14.808 15601.0 493058527 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +52.0 NULL NULL 1969-12-31 15:59:47.921 -200.0 505653702 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +42.0 NULL NULL 1969-12-31 15:59:43.931 15601.0 509177858 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 +46.0 NULL NULL 1969-12-31 16:00:04.717 15601.0 519083144 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +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 +55.0 NULL NULL 1969-12-31 16:00:14.709 -200.0 529159242 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +43.0 NULL NULL 1969-12-31 16:00:06.578 -200.0 548851592 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +42.0 NULL NULL 1969-12-31 16:00:07.179 -200.0 550015371 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +57.0 NULL NULL 1969-12-31 15:59:51.829 15601.0 560414150 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +42.0 NULL NULL 1969-12-31 15:59:48.675 -7196.0 567300720 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +39.0 NULL NULL 1969-12-31 16:00:12.719 15601.0 581431028 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +55.0 NULL NULL 1969-12-31 16:00:03.384 15601.0 590990961 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +45.0 NULL NULL 1969-12-31 16:00:04.572 -200.0 612900585 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +53.0 NULL NULL 1969-12-31 16:00:15.223 15601.0 613322929 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +59.0 NULL NULL 1969-12-31 16:00:04.476 15601.0 617599316 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +48.0 NULL NULL 1969-12-31 16:00:16.19 -7196.0 624835112 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +57.0 NULL NULL 1969-12-31 16:00:09.441 -7196.0 632897807 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +52.0 NULL NULL 1969-12-31 15:59:53.671 -200.0 643105282 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +41.0 NULL NULL 1969-12-31 15:59:44.57 -7196.0 649072626 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +52.0 NULL NULL 1969-12-31 15:59:48.688 -7196.0 649946996 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 15:59:44.671 -200.0 650092010 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +61.0 NULL NULL 1969-12-31 16:00:01.505 -200.0 657304547 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +43.0 NULL NULL 1969-12-31 16:00:08.554 15601.0 657369975 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +47.0 NULL NULL 1969-12-31 15:59:46.953 15601.0 661404907 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +59.0 NULL NULL 1969-12-31 16:00:05.13 -200.0 661665098 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 +45.0 NULL NULL 1969-12-31 16:00:15.07 -7196.0 676615206 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 16:00:02 -200.0 678949554 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +38.0 NULL NULL 1969-12-31 16:00:05.29 -200.0 679959712 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +41.0 NULL NULL 1969-12-31 15:59:51.387 -200.0 689333315 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +41.0 NULL NULL 1969-12-31 16:00:08.408 -200.0 696650264 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +59.0 NULL NULL 1969-12-31 15:59:45.08 15601.0 701594431 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +60.0 NULL NULL 1969-12-31 16:00:06.811 -200.0 733796430 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +57.0 NULL NULL 1969-12-31 15:59:58.455 -200.0 735056642 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +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 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15601.0 9763215.5639 18164.58 +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 +39.0 NULL NULL 1969-12-31 15:59:45.229 -200.0 1564077167 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +58.0 NULL NULL 1969-12-31 15:59:56.527 15601.0 1575089695 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +47.0 NULL NULL 1969-12-31 16:00:12.183 -200.0 1577520702 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +55.0 NULL NULL 1969-12-31 16:00:02.215 15601.0 1582500035 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +61.0 NULL NULL 1969-12-31 15:59:50.861 -7196.0 1596693466 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +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 +57.0 NULL NULL 1969-12-31 16:00:14.076 -200.0 1614623727 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +45.0 NULL NULL 1969-12-31 15:59:50.515 -200.0 1618117091 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +48.0 NULL NULL 1969-12-31 16:00:07.257 -7196.0 1639854261 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 16:00:05.344 15601.0 1640015816 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +41.0 NULL NULL 1969-12-31 15:59:56.691 -200.0 1642331517 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +42.0 NULL NULL 1969-12-31 16:00:00.992 -7196.0 1644841467 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +61.0 NULL NULL 1969-12-31 15:59:56.14 -200.0 1648986748 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +61.0 NULL NULL 1969-12-31 16:00:11.132 -7196.0 1652808422 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +57.0 NULL NULL 1969-12-31 15:59:45.591 -7196.0 1658221441 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +47.0 NULL NULL 1969-12-31 15:59:52.118 -200.0 1683928379 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +49.0 NULL NULL 1969-12-31 16:00:05.369 -200.0 1700360415 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +49.0 NULL NULL 1969-12-31 15:59:48.367 -200.0 1709812289 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +49.0 NULL NULL 1969-12-31 15:59:44.289 -200.0 1713733703 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +49.0 NULL NULL 1969-12-31 16:00:01.128 -200.0 1720947024 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +44.0 NULL NULL 1969-12-31 15:59:55.798 -7196.0 1723777074 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 15:59:45.518 -7196.0 1726448718 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +52.0 NULL NULL 1969-12-31 15:59:58.309 -7196.0 1735974184 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -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 +39.0 NULL NULL 1969-12-31 16:00:15.52 15601.0 1748908827 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +59.0 NULL NULL 1969-12-31 16:00:01.496 -200.0 1751846592 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +61.0 NULL NULL 1969-12-31 16:00:05.697 15601.0 1755717265 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +54.0 NULL NULL 1969-12-31 15:59:56.345 -200.0 1756261895 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +42.0 NULL NULL 1969-12-31 15:59:57.319 15601.0 1756904629 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +41.0 NULL NULL 1969-12-31 16:00:01.424 -7196.0 1759398044 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +59.0 NULL NULL 1969-12-31 15:59:51.265 15601.0 1762456014 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +48.0 NULL NULL 1969-12-31 16:00:07.08 15601.0 1766992295 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +40.0 NULL NULL 1969-12-31 16:00:01.356 -200.0 1778581609 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +59.0 NULL NULL 1969-12-31 16:00:12.325 15601.0 1786184100 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +43.0 NULL NULL 1969-12-31 15:59:50.893 -200.0 1796171294 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 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 +60.0 NULL NULL 1969-12-31 15:59:55.035 -200.0 1810792403 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 +45.0 NULL NULL 1969-12-31 16:00:08.378 -7196.0 1816604358 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +50.0 NULL NULL 1969-12-31 15:59:57.847 -200.0 1819421386 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 +51.0 NULL NULL 1969-12-31 15:59:50.363 -7196.0 1825079468 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +54.0 NULL NULL 1969-12-31 15:59:44.754 15601.0 1825424393 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +54.0 NULL NULL 1969-12-31 16:00:05.43 -7196.0 1826915108 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 +39.0 NULL NULL 1969-12-31 16:00:15.146 -7196.0 1832892113 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +51.0 NULL NULL 1969-12-31 16:00:10.321 -7196.0 1836737728 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +54.0 NULL NULL 1969-12-31 15:59:53.886 -200.0 1838082189 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 +49.0 NULL NULL 1969-12-31 16:00:00.148 -7196.0 1839707228 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +43.0 NULL NULL 1969-12-31 15:59:49.388 -7196.0 1840183062 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +59.0 NULL NULL 1969-12-31 16:00:04.284 15601.0 1841882240 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +46.0 NULL NULL 1969-12-31 16:00:06.353 15601.0 1863251368 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +58.0 NULL NULL 1969-12-31 16:00:14.013 -7196.0 1864202979 1.0 NULL 7196.0 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NULL 1969-12-31 16:00:07.115 -7196.0 1930601673 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +49.0 NULL NULL 1969-12-31 15:59:30.929 -7196.0 1948223613 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +40.0 NULL NULL 1969-12-31 15:59:55.197 -200.0 1958187727 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +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 +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 +60.0 NULL NULL 1969-12-31 15:59:51.342 -200.0 1981140540 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +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 +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 +35.0 NULL NULL 1969-12-31 16:00:07.613 -7196.0 2000277321 1.0 NULL 7196.0 -7195.0 NULL 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-200.0 2068959120 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +39.0 NULL NULL 1969-12-31 16:00:06.149 -7196.0 2071577258 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +47.0 NULL NULL 1969-12-31 15:59:45.085 -7196.0 2074601799 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +40.0 NULL NULL 1969-12-31 15:59:48.264 15601.0 2088429109 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +51.0 NULL NULL 1969-12-31 16:00:15.668 -7196.0 2091591361 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 +39.0 NULL NULL 1969-12-31 15:59:54.999 15601.0 2102419786 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +59.0 NULL NULL 1969-12-31 15:59:48.363 15601.0 2109726979 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +43.0 NULL NULL 1969-12-31 15:59:52.311 15601.0 2113671499 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58 +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 +50.0 NULL NULL 1969-12-31 15:59:54.103 -200.0 2126656350 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58 +54.0 NULL NULL 1969-12-31 15:59:55.269 -7196.0 2142292772 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42 +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 Index: ql/src/test/results/clientpositive/spark/vectorization_part_project.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorization_part_project.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorization_part_project.q.out (working copy) @@ -0,0 +1,123 @@ +PREHOOK: query: CREATE TABLE alltypesorc_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS ORC +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@alltypesorc_part +POSTHOOK: query: CREATE TABLE alltypesorc_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS ORC +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@alltypesorc_part +PREHOOK: query: insert overwrite table alltypesorc_part partition (ds='2011') select * from alltypesorc limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: default@alltypesorc_part@ds=2011 +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: insert overwrite table alltypesorc_part partition (ds='2011') select * from alltypesorc limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: default@alltypesorc_part@ds=2011 +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cbigint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cfloat SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).csmallint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cstring1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).cstring2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2011).ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +PREHOOK: query: insert overwrite table alltypesorc_part partition (ds='2012') select * from alltypesorc limit 100 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +PREHOOK: Output: default@alltypesorc_part@ds=2012 +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: insert overwrite table alltypesorc_part partition (ds='2012') select * from alltypesorc limit 100 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +POSTHOOK: Output: default@alltypesorc_part@ds=2012 +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cbigint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cbigint, type:bigint, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cboolean2, type:boolean, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cdouble SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cdouble, type:double, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cfloat SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cfloat, type:float, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cint, type:int, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).csmallint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:csmallint, type:smallint, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cstring1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cstring1, type:string, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).cstring2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cstring2, type:string, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ] +POSTHOOK: Lineage: alltypesorc_part PARTITION(ds=2012).ctinyint SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctinyint, type:tinyint, comment:null), ] +PREHOOK: query: explain select (cdouble+2) c1 from alltypesorc_part order by c1 limit 10 +PREHOOK: type: QUERY +POSTHOOK: query: explain select (cdouble+2) c1 from alltypesorc_part order by c1 limit 10 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: alltypesorc_part + Statistics: Num rows: 694 Data size: 5558 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: (cdouble + 2) (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 694 Data size: 5558 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: double) + sort order: + + Statistics: Num rows: 694 Data size: 5558 Basic stats: COMPLETE Column stats: NONE + Reducer 2 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: double) + outputColumnNames: _col0 + Statistics: Num rows: 694 Data size: 5558 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 10 + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 10 Data size: 80 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 10 + Processor Tree: + ListSink + +PREHOOK: query: select (cdouble+2) c1 from alltypesorc_part order by c1 limit 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc_part +PREHOOK: Input: default@alltypesorc_part@ds=2011 +PREHOOK: Input: default@alltypesorc_part@ds=2012 +#### A masked pattern was here #### +POSTHOOK: query: select (cdouble+2) c1 from alltypesorc_part order by c1 limit 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc_part +POSTHOOK: Input: default@alltypesorc_part@ds=2011 +POSTHOOK: Input: default@alltypesorc_part@ds=2012 +#### A masked pattern was here #### +-15910.0 +-15910.0 +-15811.0 +-15811.0 +-15788.0 +-15788.0 +-15547.0 +-15547.0 +-15429.0 +-15429.0 Index: ql/src/test/results/clientpositive/spark/vectorized_mapjoin.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorized_mapjoin.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorized_mapjoin.q.out (working copy) @@ -0,0 +1,107 @@ +PREHOOK: query: EXPLAIN SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Map 4 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t2 + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cint is not null (type: boolean) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Map 4 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cint is not null (type: boolean) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 {KEY.reducesinkkey0} + 1 {KEY.reducesinkkey0} + outputColumnNames: _col2, _col17 + Statistics: Num rows: 51870 Data size: 207482 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col17 (type: int) + outputColumnNames: _col2, _col17 + Statistics: Num rows: 51870 Data size: 207482 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count(_col2), max(_col17), min(_col2), avg((_col2 + _col17)) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: int), _col2 (type: int), _col3 (type: struct) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0), max(VALUE._col1), min(VALUE._col2), avg(VALUE._col3) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: bigint), _col1 (type: int), _col2 (type: int), _col3 (type: double) + 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.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +3152013 1073680599 -1073279343 9.375396162525452E8 Index: ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorized_ptf.q.out (working copy) @@ -0,0 +1,7713 @@ +PREHOOK: query: DROP TABLE part_staging +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE part_staging +POSTHOOK: type: DROPTABLE +PREHOOK: query: DROP TABLE part +PREHOOK: type: DROPTABLE +POSTHOOK: query: DROP TABLE part +POSTHOOK: type: DROPTABLE +PREHOOK: query: -- NOTE: This test is a copy of ptf. +-- NOTE: We cannot vectorize "pure" table functions (e.g. NOOP) -- given their blackbox nature. So only queries without table functions and +-- NOTE: with windowing will be vectorized. + +-- data setup +CREATE TABLE part_staging( + p_partkey INT, + p_name STRING, + p_mfgr STRING, + p_brand STRING, + p_type STRING, + p_size INT, + p_container STRING, + p_retailprice DOUBLE, + p_comment STRING +) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_staging +POSTHOOK: query: -- NOTE: This test is a copy of ptf. +-- NOTE: We cannot vectorize "pure" table functions (e.g. NOOP) -- given their blackbox nature. So only queries without table functions and +-- NOTE: with windowing will be vectorized. + +-- data setup +CREATE TABLE part_staging( + p_partkey INT, + p_name STRING, + p_mfgr STRING, + p_brand STRING, + p_type STRING, + p_size INT, + p_container STRING, + p_retailprice DOUBLE, + p_comment STRING +) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_staging +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/part_tiny.txt' overwrite into table part_staging +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@part_staging +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/part_tiny.txt' overwrite into table part_staging +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@part_staging +PREHOOK: query: CREATE TABLE part( + p_partkey INT, + p_name STRING, + p_mfgr STRING, + p_brand STRING, + p_type STRING, + p_size INT, + p_container STRING, + p_retailprice DOUBLE, + p_comment STRING +) STORED AS ORC +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part +POSTHOOK: query: CREATE TABLE part( + p_partkey INT, + p_name STRING, + p_mfgr STRING, + p_brand STRING, + p_type STRING, + p_size INT, + p_container STRING, + p_retailprice DOUBLE, + p_comment STRING +) STORED AS ORC +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part +PREHOOK: query: DESCRIBE EXTENDED part +PREHOOK: type: DESCTABLE +PREHOOK: Input: default@part +POSTHOOK: query: DESCRIBE EXTENDED part +POSTHOOK: type: DESCTABLE +POSTHOOK: Input: default@part +p_partkey int +p_name string +p_mfgr string +p_brand string +p_type string +p_size int +p_container string +p_retailprice double +p_comment string + +#### A masked pattern was here #### +PREHOOK: query: insert into table part select * from part_staging +PREHOOK: type: QUERY +PREHOOK: Input: default@part_staging +PREHOOK: Output: default@part +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: insert into table part select * from part_staging +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_staging +POSTHOOK: Output: default@part +POSTHOOK: Lineage: part.p_brand SIMPLE [(part_staging)part_staging.FieldSchema(name:p_brand, type:string, comment:null), ] +POSTHOOK: Lineage: part.p_comment SIMPLE [(part_staging)part_staging.FieldSchema(name:p_comment, type:string, comment:null), ] +POSTHOOK: Lineage: part.p_container SIMPLE [(part_staging)part_staging.FieldSchema(name:p_container, type:string, comment:null), ] +POSTHOOK: Lineage: part.p_mfgr SIMPLE [(part_staging)part_staging.FieldSchema(name:p_mfgr, type:string, comment:null), ] +POSTHOOK: Lineage: part.p_name SIMPLE [(part_staging)part_staging.FieldSchema(name:p_name, type:string, comment:null), ] +POSTHOOK: Lineage: part.p_partkey SIMPLE [(part_staging)part_staging.FieldSchema(name:p_partkey, type:int, comment:null), ] +POSTHOOK: Lineage: part.p_retailprice SIMPLE [(part_staging)part_staging.FieldSchema(name:p_retailprice, type:double, comment:null), ] +POSTHOOK: Lineage: part.p_size SIMPLE [(part_staging)part_staging.FieldSchema(name:p_size, type:int, comment:null), ] +POSTHOOK: Lineage: part.p_type SIMPLE [(part_staging)part_staging.FieldSchema(name:p_type, type:string, comment:null), ] +PREHOOK: query: --1. test1 + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) +PREHOOK: type: QUERY +POSTHOOK: query: --1. test1 + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: -- 2. testJoinWithNoop + +explain extended +select p_mfgr, p_name, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop (on (select p1.* from part p1 join part p2 on p1.p_partkey = p2.p_partkey) j +distribute by j.p_mfgr +sort by j.p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 2. testJoinWithNoop + +explain extended +select p_mfgr, p_name, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop (on (select p1.* from part p1 join part p2 on p1.p_partkey = p2.p_partkey) j +distribute by j.p_mfgr +sort by j.p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_SUBQUERY + TOK_QUERY + TOK_FROM + TOK_JOIN + TOK_TABREF + TOK_TABNAME + part + p1 + TOK_TABREF + TOK_TABNAME + part + p2 + = + . + TOK_TABLE_OR_COL + p1 + p_partkey + . + TOK_TABLE_OR_COL + p2 + p_partkey + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_ALLCOLREF + TOK_TABNAME + p1 + j + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + j + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + j + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + - + TOK_TABLE_OR_COL + p_size + TOK_FUNCTION + lag + TOK_TABLE_OR_COL + p_size + 1 + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + deltaSz + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Map 5 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: p1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 0 + value expressions: p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [p1] + Map 5 + Map Operator Tree: + TableScan + alias: p2 + Statistics: Num rows: 642 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 1 + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [p2] + Reducer 2 + Needs Tagging: true + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} {VALUE._col1} {VALUE._col2} {VALUE._col3} {VALUE._col4} {VALUE._col5} {VALUE._col6} {VALUE._col7} + 1 + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), (_col5 - _wcol0) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3 + columns.types string:string:int:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop (on (select p1.* from part p1 join part p2 on p1.p_partkey = p2.p_partkey) j +distribute by j.p_mfgr +sort by j.p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop (on (select p1.* from part p1 join part p2 on p1.p_partkey = p2.p_partkey) j +distribute by j.p_mfgr +sort by j.p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 0 +Manufacturer#1 almond antique burnished rose metallic 2 0 +Manufacturer#1 almond antique burnished rose metallic 2 0 +Manufacturer#1 almond antique burnished rose metallic 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 5 +Manufacturer#3 almond antique misty red olive 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 0 +Manufacturer#4 almond antique violet mint lemon 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 0 +Manufacturer#5 almond antique medium spring khaki 6 -25 +Manufacturer#5 almond antique sky peru orange 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 -23 +PREHOOK: query: -- 3. testOnlyPTF + +explain extended +select p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 3. testOnlyPTF + +explain extended +select p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2 + columns.types string:string:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 +Manufacturer#1 almond aquamarine burnished black steel 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 +Manufacturer#2 almond antique violet chocolate turquoise 14 +Manufacturer#2 almond antique violet turquoise frosted 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 +Manufacturer#3 almond antique chartreuse khaki white 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 +Manufacturer#3 almond antique metallic orange dim 19 +Manufacturer#3 almond antique misty red olive 1 +Manufacturer#3 almond antique olive coral navajo 45 +Manufacturer#4 almond antique gainsboro frosted violet 10 +Manufacturer#4 almond antique violet mint lemon 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 +Manufacturer#5 almond antique blue firebrick mint 31 +Manufacturer#5 almond antique medium spring khaki 6 +Manufacturer#5 almond antique sky peru orange 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 +PREHOOK: query: -- 4. testPTFAlias + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) abc +PREHOOK: type: QUERY +POSTHOOK: query: -- 4. testPTFAlias + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) abc +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + abc + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) abc +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part + partition by p_mfgr + order by p_name + ) abc +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: -- 5. testPTFAndWhereWithWindowing + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +PREHOOK: type: QUERY +POSTHOOK: query: -- 5. testPTFAndWhereWithWindowing + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + - + TOK_TABLE_OR_COL + p_size + TOK_FUNCTION + lag + TOK_TABLE_OR_COL + p_size + 1 + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + deltaSz + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), (_col5 - _wcol2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6 + columns.types string:string:int:int:int:int:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2 0 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 23 -23 +PREHOOK: query: -- 6. testSWQAndPTFAndGBy + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +POSTHOOK: query: -- 6. testSWQAndPTFAndGBy + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + - + TOK_TABLE_OR_COL + p_size + TOK_FUNCTION + lag + TOK_TABLE_OR_COL + p_size + 1 + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + deltaSz + TOK_GROUPBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_TABLE_OR_COL + p_size + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int) + outputColumnNames: _col2, _col1, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Group By Operator + keys: _col2 (type: string), _col1 (type: string), _col5 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Group By Operator + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _wcol0 (type: int), _wcol1 (type: int), _col2 (type: int), (_col2 - _wcol2) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6 + columns.types string:string:int:int:int:int:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +group by p_mfgr, p_name, p_size +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, p_size - lag(p_size,1,p_size) over (partition by p_mfgr order by p_name) as deltaSz +from noop(on part + partition by p_mfgr + order by p_name + ) +group by p_mfgr, p_name, p_size +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 34 2 2 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3 3 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 28 4 4 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 5 5 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 14 0 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 14 -3 +Manufacturer#3 almond antique metallic orange dim 19 3 3 19 5 +Manufacturer#3 almond antique misty red olive 1 4 4 1 -18 +Manufacturer#3 almond antique olive coral navajo 45 5 5 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 10 0 +Manufacturer#4 almond antique violet mint lemon 39 2 2 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 31 0 +Manufacturer#5 almond antique medium spring khaki 6 2 2 6 -25 +Manufacturer#5 almond antique sky peru orange 2 3 3 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 23 -23 +PREHOOK: query: -- 7. testJoin + +explain extended +select abc.* +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +POSTHOOK: query: -- 7. testJoin + +explain extended +select abc.* +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_JOIN + TOK_PTBLFUNCTION + noop + abc + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_TABREF + TOK_TABNAME + part + p1 + = + . + TOK_TABLE_OR_COL + abc + p_partkey + . + TOK_TABLE_OR_COL + p1 + p_partkey + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_ALLCOLREF + TOK_TABNAME + abc + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Reducer 4 (GROUP SORT) + Reducer 4 <- Map 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: p1 + Statistics: Num rows: 642 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 1 + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [p1] + Map 3 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: true + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} {VALUE._col1} {VALUE._col2} {VALUE._col3} {VALUE._col4} {VALUE._col5} {VALUE._col6} {VALUE._col7} + 1 + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6,_col7,_col8 + columns.types int:string:string:string:string:int:string:double:string + escape.delim \ + hive.serialization.extend.nesting.levels 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 + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Filter Operator + isSamplingPred: false + predicate: _col0 is not null (type: boolean) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 0 + value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + auto parallelism: true + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select abc.* +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select abc.* +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +15103 almond aquamarine dodger light gainsboro Manufacturer#5 Brand#53 ECONOMY BURNISHED STEEL 46 LG PACK 1018.1 packages hinder carefu +17273 almond antique forest lavender goldenrod Manufacturer#3 Brand#35 PROMO ANODIZED TIN 14 JUMBO CASE 1190.27 along the +17927 almond aquamarine yellow dodger mint Manufacturer#4 Brand#41 ECONOMY BRUSHED COPPER 7 SM PKG 1844.92 ites. eve +33357 almond azure aquamarine papaya violet Manufacturer#4 Brand#41 STANDARD ANODIZED TIN 12 WRAP CASE 1290.35 reful +40982 almond antique misty red olive Manufacturer#3 Brand#32 ECONOMY PLATED COPPER 1 LG PKG 1922.98 c foxes can s +42669 almond antique medium spring khaki Manufacturer#5 Brand#51 STANDARD BURNISHED TIN 6 MED CAN 1611.66 sits haggl +45261 almond aquamarine floral ivory bisque Manufacturer#4 Brand#42 SMALL PLATED STEEL 27 WRAP CASE 1206.26 careful +48427 almond antique violet mint lemon Manufacturer#4 Brand#42 PROMO POLISHED STEEL 39 SM CASE 1375.42 hely ironic i +49671 almond antique gainsboro frosted violet Manufacturer#4 Brand#41 SMALL BRUSHED BRASS 10 SM BOX 1620.67 ccounts run quick +65667 almond aquamarine pink moccasin thistle Manufacturer#1 Brand#12 LARGE BURNISHED STEEL 42 JUMBO CASE 1632.66 e across the expr +78486 almond azure blanched chiffon midnight Manufacturer#5 Brand#52 LARGE BRUSHED BRASS 23 MED BAG 1464.48 hely blith +85768 almond antique chartreuse lavender yellow Manufacturer#1 Brand#12 LARGE BRUSHED STEEL 34 SM BAG 1753.76 refull +86428 almond aquamarine burnished black steel Manufacturer#1 Brand#12 STANDARD ANODIZED STEEL 28 WRAP BAG 1414.42 arefully +90681 almond antique chartreuse khaki white Manufacturer#3 Brand#31 MEDIUM BURNISHED TIN 17 SM CASE 1671.68 are slyly after the sl +105685 almond antique violet chocolate turquoise Manufacturer#2 Brand#22 MEDIUM ANODIZED COPPER 14 MED CAN 1690.68 ly pending requ +110592 almond antique salmon chartreuse burlywood Manufacturer#1 Brand#15 PROMO BURNISHED NICKEL 6 JUMBO PKG 1602.59 to the furiously +112398 almond antique metallic orange dim Manufacturer#3 Brand#32 MEDIUM BURNISHED BRASS 19 JUMBO JAR 1410.39 ole car +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +132666 almond aquamarine rose maroon antique Manufacturer#2 Brand#24 SMALL POLISHED NICKEL 25 MED BOX 1698.66 even +144293 almond antique olive coral navajo Manufacturer#3 Brand#34 STANDARD POLISHED STEEL 45 JUMBO CAN 1337.29 ag furiously about +146985 almond aquamarine midnight light salmon Manufacturer#2 Brand#23 MEDIUM BURNISHED COPPER 2 SM CASE 2031.98 s cajole caref +155733 almond antique sky peru orange Manufacturer#5 Brand#53 SMALL PLATED BRASS 2 WRAP DRUM 1788.73 furiously. bra +191709 almond antique violet turquoise frosted Manufacturer#2 Brand#22 ECONOMY POLISHED STEEL 40 MED BOX 1800.7 haggle +192697 almond antique blue firebrick mint Manufacturer#5 Brand#52 MEDIUM BURNISHED TIN 31 LG DRUM 1789.69 ickly ir +195606 almond aquamarine sandy cyan gainsboro Manufacturer#2 Brand#25 STANDARD PLATED TIN 18 SM PKG 1701.6 ic de +PREHOOK: query: -- 8. testJoinRight + +explain extended +select abc.* +from part p1 join noop(on part +partition by p_mfgr +order by p_name +) abc on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +POSTHOOK: query: -- 8. testJoinRight + +explain extended +select abc.* +from part p1 join noop(on part +partition by p_mfgr +order by p_name +) abc on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_JOIN + TOK_TABREF + TOK_TABNAME + part + p1 + TOK_PTBLFUNCTION + noop + abc + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + = + . + TOK_TABLE_OR_COL + abc + p_partkey + . + TOK_TABLE_OR_COL + p1 + p_partkey + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_ALLCOLREF + TOK_TABNAME + abc + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Reducer 4 (GROUP SORT) + Reducer 4 <- Map 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: p1 + Statistics: Num rows: 642 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 0 + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [p1] + Map 3 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: true + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 + 1 {KEY.reducesinkkey0} {VALUE._col0} {VALUE._col1} {VALUE._col2} {VALUE._col3} {VALUE._col4} {VALUE._col5} {VALUE._col6} {VALUE._col7} + outputColumnNames: _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col12 (type: int), _col13 (type: string), _col14 (type: string), _col15 (type: string), _col16 (type: string), _col17 (type: int), _col18 (type: string), _col19 (type: double), _col20 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6,_col7,_col8 + columns.types int:string:string:string:string:int:string:double:string + escape.delim \ + hive.serialization.extend.nesting.levels 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 + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Filter Operator + isSamplingPred: false + predicate: _col0 is not null (type: boolean) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 1 + value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string) + auto parallelism: true + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select abc.* +from part p1 join noop(on part +partition by p_mfgr +order by p_name +) abc on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select abc.* +from part p1 join noop(on part +partition by p_mfgr +order by p_name +) abc on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +15103 almond aquamarine dodger light gainsboro Manufacturer#5 Brand#53 ECONOMY BURNISHED STEEL 46 LG PACK 1018.1 packages hinder carefu +17273 almond antique forest lavender goldenrod Manufacturer#3 Brand#35 PROMO ANODIZED TIN 14 JUMBO CASE 1190.27 along the +17927 almond aquamarine yellow dodger mint Manufacturer#4 Brand#41 ECONOMY BRUSHED COPPER 7 SM PKG 1844.92 ites. eve +33357 almond azure aquamarine papaya violet Manufacturer#4 Brand#41 STANDARD ANODIZED TIN 12 WRAP CASE 1290.35 reful +40982 almond antique misty red olive Manufacturer#3 Brand#32 ECONOMY PLATED COPPER 1 LG PKG 1922.98 c foxes can s +42669 almond antique medium spring khaki Manufacturer#5 Brand#51 STANDARD BURNISHED TIN 6 MED CAN 1611.66 sits haggl +45261 almond aquamarine floral ivory bisque Manufacturer#4 Brand#42 SMALL PLATED STEEL 27 WRAP CASE 1206.26 careful +48427 almond antique violet mint lemon Manufacturer#4 Brand#42 PROMO POLISHED STEEL 39 SM CASE 1375.42 hely ironic i +49671 almond antique gainsboro frosted violet Manufacturer#4 Brand#41 SMALL BRUSHED BRASS 10 SM BOX 1620.67 ccounts run quick +65667 almond aquamarine pink moccasin thistle Manufacturer#1 Brand#12 LARGE BURNISHED STEEL 42 JUMBO CASE 1632.66 e across the expr +78486 almond azure blanched chiffon midnight Manufacturer#5 Brand#52 LARGE BRUSHED BRASS 23 MED BAG 1464.48 hely blith +85768 almond antique chartreuse lavender yellow Manufacturer#1 Brand#12 LARGE BRUSHED STEEL 34 SM BAG 1753.76 refull +86428 almond aquamarine burnished black steel Manufacturer#1 Brand#12 STANDARD ANODIZED STEEL 28 WRAP BAG 1414.42 arefully +90681 almond antique chartreuse khaki white Manufacturer#3 Brand#31 MEDIUM BURNISHED TIN 17 SM CASE 1671.68 are slyly after the sl +105685 almond antique violet chocolate turquoise Manufacturer#2 Brand#22 MEDIUM ANODIZED COPPER 14 MED CAN 1690.68 ly pending requ +110592 almond antique salmon chartreuse burlywood Manufacturer#1 Brand#15 PROMO BURNISHED NICKEL 6 JUMBO PKG 1602.59 to the furiously +112398 almond antique metallic orange dim Manufacturer#3 Brand#32 MEDIUM BURNISHED BRASS 19 JUMBO JAR 1410.39 ole car +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +121152 almond antique burnished rose metallic Manufacturer#1 Brand#14 PROMO PLATED TIN 2 JUMBO BOX 1173.15 e pinto beans h +132666 almond aquamarine rose maroon antique Manufacturer#2 Brand#24 SMALL POLISHED NICKEL 25 MED BOX 1698.66 even +144293 almond antique olive coral navajo Manufacturer#3 Brand#34 STANDARD POLISHED STEEL 45 JUMBO CAN 1337.29 ag furiously about +146985 almond aquamarine midnight light salmon Manufacturer#2 Brand#23 MEDIUM BURNISHED COPPER 2 SM CASE 2031.98 s cajole caref +155733 almond antique sky peru orange Manufacturer#5 Brand#53 SMALL PLATED BRASS 2 WRAP DRUM 1788.73 furiously. bra +191709 almond antique violet turquoise frosted Manufacturer#2 Brand#22 ECONOMY POLISHED STEEL 40 MED BOX 1800.7 haggle +192697 almond antique blue firebrick mint Manufacturer#5 Brand#52 MEDIUM BURNISHED TIN 31 LG DRUM 1789.69 ickly ir +195606 almond aquamarine sandy cyan gainsboro Manufacturer#2 Brand#25 STANDARD PLATED TIN 18 SM PKG 1701.6 ic de +PREHOOK: query: -- 9. testNoopWithMap + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name, p_size desc) as r +from noopwithmap(on part +partition by p_mfgr +order by p_name, p_size desc) +PREHOOK: type: QUERY +POSTHOOK: query: -- 9. testNoopWithMap + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name, p_size desc) as r +from noopwithmap(on part +partition by p_mfgr +order by p_name, p_size desc) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noopwithmap + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_TABSORTCOLNAMEDESC + TOK_TABLE_OR_COL + p_size + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_TABSORTCOLNAMEDESC + TOK_TABLE_OR_COL + p_size + r + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_size (type: int) + sort order: ++- + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int) + sort order: ++- + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3 + columns.types string:string:int:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name, p_size desc) as r +from noopwithmap(on part +partition by p_mfgr +order by p_name, p_size desc) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name, p_size desc) as r +from noopwithmap(on part +partition by p_mfgr +order by p_name, p_size desc) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique burnished rose metallic 2 1 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 +Manufacturer#1 almond aquamarine burnished black steel 28 5 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 +Manufacturer#2 almond antique violet turquoise frosted 40 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 +Manufacturer#3 almond antique chartreuse khaki white 17 1 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 +Manufacturer#3 almond antique metallic orange dim 19 3 +Manufacturer#3 almond antique misty red olive 1 4 +Manufacturer#3 almond antique olive coral navajo 45 5 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 +Manufacturer#4 almond antique violet mint lemon 39 2 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 +Manufacturer#5 almond antique blue firebrick mint 31 1 +Manufacturer#5 almond antique medium spring khaki 6 2 +Manufacturer#5 almond antique sky peru orange 2 3 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 +PREHOOK: query: -- 10. testNoopWithMapWithWindowing + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on part + partition by p_mfgr + order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 10. testNoopWithMapWithWindowing + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on part + partition by p_mfgr + order by p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noopwithmap + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on part + partition by p_mfgr + order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on part + partition by p_mfgr + order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: -- 11. testHavingWithWindowingPTFNoGBY + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 11. testHavingWithWindowingPTFNoGBY + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: -- 12. testFunctionChain + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on noopwithmap(on noop(on part +partition by p_mfgr +order by p_mfgr, p_name +))) +PREHOOK: type: QUERY +POSTHOOK: query: -- 12. testFunctionChain + +explain extended +select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on noopwithmap(on noop(on part +partition by p_mfgr +order by p_mfgr, p_name +))) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noopwithmap + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_mfgr (type: string), p_name (type: string) + sort order: +++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string), _col1 (type: string) + sort order: +++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on noopwithmap(on noop(on part +partition by p_mfgr +order by p_mfgr, p_name +))) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, p_size, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +sum(p_retailprice) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on noopwithmap(on noop(on part +partition by p_mfgr +order by p_mfgr, p_name +))) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 1 1 1173.15 +Manufacturer#1 almond antique burnished rose metallic 2 1 1 2346.3 +Manufacturer#1 almond antique chartreuse lavender yellow 34 3 2 4100.06 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 4 3 5702.650000000001 +Manufacturer#1 almond aquamarine burnished black steel 28 5 4 7117.070000000001 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 6 5 8749.730000000001 +Manufacturer#2 almond antique violet chocolate turquoise 14 1 1 1690.68 +Manufacturer#2 almond antique violet turquoise frosted 40 2 2 3491.38 +Manufacturer#2 almond aquamarine midnight light salmon 2 3 3 5523.360000000001 +Manufacturer#2 almond aquamarine rose maroon antique 25 4 4 7222.02 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 5 5 8923.62 +Manufacturer#3 almond antique chartreuse khaki white 17 1 1 1671.68 +Manufacturer#3 almond antique forest lavender goldenrod 14 2 2 2861.95 +Manufacturer#3 almond antique metallic orange dim 19 3 3 4272.34 +Manufacturer#3 almond antique misty red olive 1 4 4 6195.32 +Manufacturer#3 almond antique olive coral navajo 45 5 5 7532.61 +Manufacturer#4 almond antique gainsboro frosted violet 10 1 1 1620.67 +Manufacturer#4 almond antique violet mint lemon 39 2 2 2996.09 +Manufacturer#4 almond aquamarine floral ivory bisque 27 3 3 4202.35 +Manufacturer#4 almond aquamarine yellow dodger mint 7 4 4 6047.27 +Manufacturer#4 almond azure aquamarine papaya violet 12 5 5 7337.620000000001 +Manufacturer#5 almond antique blue firebrick mint 31 1 1 1789.69 +Manufacturer#5 almond antique medium spring khaki 6 2 2 3401.3500000000004 +Manufacturer#5 almond antique sky peru orange 2 3 3 5190.08 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 4 4 6208.18 +Manufacturer#5 almond azure blanched chiffon midnight 23 5 5 7672.66 +PREHOOK: query: -- 13. testPTFAndWindowingInSubQ + +explain extended +select p_mfgr, p_name, +sub1.cd, sub1.s1 +from (select p_mfgr, p_name, +count(p_size) over (partition by p_mfgr order by p_name) as cd, +p_retailprice, +sum(p_retailprice) over w1 as s1 +from noop(on part +partition by p_mfgr +order by p_name) +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +) sub1 +PREHOOK: type: QUERY +POSTHOOK: query: -- 13. testPTFAndWindowingInSubQ + +explain extended +select p_mfgr, p_name, +sub1.cd, sub1.s1 +from (select p_mfgr, p_name, +count(p_size) over (partition by p_mfgr order by p_name) as cd, +p_retailprice, +sum(p_retailprice) over w1 as s1 +from noop(on part +partition by p_mfgr +order by p_name) +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +) sub1 +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_SUBQUERY + TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + count + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + cd + TOK_SELEXPR + TOK_TABLE_OR_COL + p_retailprice + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + w1 + s1 + window + TOK_WINDOWDEF + w1 + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + 2 + following + 2 + sub1 + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + . + TOK_TABLE_OR_COL + sub1 + cd + TOK_SELEXPR + . + TOK_TABLE_OR_COL + sub1 + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: bigint), _wcol1 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3 + columns.types string:string:bigint:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +sub1.cd, sub1.s1 +from (select p_mfgr, p_name, +count(p_size) over (partition by p_mfgr order by p_name) as cd, +p_retailprice, +sum(p_retailprice) over w1 as s1 +from noop(on part +partition by p_mfgr +order by p_name) +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +) sub1 +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +sub1.cd, sub1.s1 +from (select p_mfgr, p_name, +count(p_size) over (partition by p_mfgr order by p_name) as cd, +p_retailprice, +sum(p_retailprice) over w1 as s1 +from noop(on part +partition by p_mfgr +order by p_name) +window w1 as (partition by p_mfgr order by p_name rows between 2 preceding and 2 following) +) sub1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 4100.06 +Manufacturer#1 almond antique burnished rose metallic 2 5702.650000000001 +Manufacturer#1 almond antique chartreuse lavender yellow 3 7117.070000000001 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 7576.58 +Manufacturer#1 almond aquamarine burnished black steel 5 6403.43 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 4649.67 +Manufacturer#2 almond antique violet chocolate turquoise 1 5523.360000000001 +Manufacturer#2 almond antique violet turquoise frosted 2 7222.02 +Manufacturer#2 almond aquamarine midnight light salmon 3 8923.62 +Manufacturer#2 almond aquamarine rose maroon antique 4 7232.9400000000005 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5432.24 +Manufacturer#3 almond antique chartreuse khaki white 1 4272.34 +Manufacturer#3 almond antique forest lavender goldenrod 2 6195.32 +Manufacturer#3 almond antique metallic orange dim 3 7532.61 +Manufacturer#3 almond antique misty red olive 4 5860.929999999999 +Manufacturer#3 almond antique olive coral navajo 5 4670.66 +Manufacturer#4 almond antique gainsboro frosted violet 1 4202.35 +Manufacturer#4 almond antique violet mint lemon 2 6047.27 +Manufacturer#4 almond aquamarine floral ivory bisque 3 7337.620000000001 +Manufacturer#4 almond aquamarine yellow dodger mint 4 5716.950000000001 +Manufacturer#4 almond azure aquamarine papaya violet 5 4341.530000000001 +Manufacturer#5 almond antique blue firebrick mint 1 5190.08 +Manufacturer#5 almond antique medium spring khaki 2 6208.18 +Manufacturer#5 almond antique sky peru orange 3 7672.66 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 5882.970000000001 +Manufacturer#5 almond azure blanched chiffon midnight 5 4271.3099999999995 +PREHOOK: query: -- 14. testPTFJoinWithWindowingWithCount + +explain extended +select abc.p_mfgr, abc.p_name, +rank() over (distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over (distribute by abc.p_mfgr sort by abc.p_name) as dr, +count(abc.p_name) over (distribute by abc.p_mfgr sort by abc.p_name) as cd, +abc.p_retailprice, sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over (distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +POSTHOOK: query: -- 14. testPTFJoinWithWindowingWithCount + +explain extended +select abc.p_mfgr, abc.p_name, +rank() over (distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over (distribute by abc.p_mfgr sort by abc.p_name) as dr, +count(abc.p_name) over (distribute by abc.p_mfgr sort by abc.p_name) as cd, +abc.p_retailprice, sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over (distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_JOIN + TOK_PTBLFUNCTION + noop + abc + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_TABREF + TOK_TABNAME + part + p1 + = + . + TOK_TABLE_OR_COL + abc + p_partkey + . + TOK_TABLE_OR_COL + p1 + p_partkey + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SELEXPR + . + TOK_TABLE_OR_COL + abc + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + abc + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + abc + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + count + . + TOK_TABLE_OR_COL + abc + p_name + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + abc + p_name + cd + TOK_SELEXPR + . + TOK_TABLE_OR_COL + abc + p_retailprice + TOK_SELEXPR + TOK_FUNCTION + sum + . + TOK_TABLE_OR_COL + abc + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + abc + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + TOK_SELEXPR + . + TOK_TABLE_OR_COL + abc + p_size + TOK_SELEXPR + - + . + TOK_TABLE_OR_COL + abc + p_size + TOK_FUNCTION + lag + . + TOK_TABLE_OR_COL + abc + p_size + 1 + . + TOK_TABLE_OR_COL + abc + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + . + TOK_TABLE_OR_COL + abc + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + . + TOK_TABLE_OR_COL + abc + p_name + deltaSz + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Reducer 5 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 5 <- Map 4 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: p1 + Statistics: Num rows: 642 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Filter Operator + isSamplingPred: false + predicate: p_partkey is not null (type: boolean) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: p_partkey (type: int) + sort order: + + Map-reduce partition columns: p_partkey (type: int) + Statistics: Num rows: 321 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 1 + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [p1] + Map 4 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: true + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 {VALUE._col0} {VALUE._col1} {VALUE._col4} {VALUE._col6} + 1 + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: bigint), _col7 (type: double), _wcol3 (type: double), _col5 (type: int), (_col5 - _wcol4) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 353 Data size: 1413 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6,_col7,_col8 + columns.types string:string:int:int:bigint:double:double:int:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 + Reducer 5 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col0, _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Filter Operator + isSamplingPred: false + predicate: _col0 is not null (type: boolean) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: 0 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over (distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over (distribute by abc.p_mfgr sort by abc.p_name) as dr, +count(abc.p_name) over (distribute by abc.p_mfgr sort by abc.p_name) as cd, +abc.p_retailprice, sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over (distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select abc.p_mfgr, abc.p_name, +rank() over (distribute by abc.p_mfgr sort by abc.p_name) as r, +dense_rank() over (distribute by abc.p_mfgr sort by abc.p_name) as dr, +count(abc.p_name) over (distribute by abc.p_mfgr sort by abc.p_name) as cd, +abc.p_retailprice, sum(abc.p_retailprice) over (distribute by abc.p_mfgr sort by abc.p_name rows between unbounded preceding and current row) as s1, +abc.p_size, abc.p_size - lag(abc.p_size,1,abc.p_size) over (distribute by abc.p_mfgr sort by abc.p_name) as deltaSz +from noop(on part +partition by p_mfgr +order by p_name +) abc join part p1 on abc.p_partkey = p1.p_partkey +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 4 1173.15 1173.15 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 4 1173.15 2346.3 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 4 1173.15 3519.4500000000003 2 0 +Manufacturer#1 almond antique burnished rose metallic 1 1 4 1173.15 4692.6 2 0 +Manufacturer#1 almond antique chartreuse lavender yellow 5 2 5 1753.76 6446.360000000001 34 32 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 3 6 1602.59 8048.950000000001 6 -28 +Manufacturer#1 almond aquamarine burnished black steel 7 4 7 1414.42 9463.37 28 22 +Manufacturer#1 almond aquamarine pink moccasin thistle 8 5 8 1632.66 11096.03 42 14 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 1 1690.68 1690.68 14 0 +Manufacturer#2 almond antique violet turquoise frosted 2 2 2 1800.7 3491.38 40 26 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 3 2031.98 5523.360000000001 2 -38 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 4 1698.66 7222.02 25 23 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 5 1701.6 8923.62 18 -7 +Manufacturer#3 almond antique chartreuse khaki white 1 1 1 1671.68 1671.68 17 0 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 2 1190.27 2861.95 14 -3 +Manufacturer#3 almond antique metallic orange dim 3 3 3 1410.39 4272.34 19 5 +Manufacturer#3 almond antique misty red olive 4 4 4 1922.98 6195.32 1 -18 +Manufacturer#3 almond antique olive coral navajo 5 5 5 1337.29 7532.61 45 44 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 1 1620.67 1620.67 10 0 +Manufacturer#4 almond antique violet mint lemon 2 2 2 1375.42 2996.09 39 29 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 3 1206.26 4202.35 27 -12 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 4 1844.92 6047.27 7 -20 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 5 1290.35 7337.620000000001 12 5 +Manufacturer#5 almond antique blue firebrick mint 1 1 1 1789.69 1789.69 31 0 +Manufacturer#5 almond antique medium spring khaki 2 2 2 1611.66 3401.3500000000004 6 -25 +Manufacturer#5 almond antique sky peru orange 3 3 3 1788.73 5190.08 2 -4 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 4 1018.1 6208.18 46 44 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 5 1464.48 7672.66 23 -23 +PREHOOK: query: -- 15. testDistinctInSelectWithPTF + +explain extended +select DISTINCT p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 15. testDistinctInSelectWithPTF + +explain extended +select DISTINCT p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECTDI + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int) + outputColumnNames: _col2, _col1, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Group By Operator + keys: _col2 (type: string), _col1 (type: string), _col5 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order: +++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Group By Operator + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 2 Data size: 1285 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2 + columns.types string:string:int + escape.delim \ + hive.serialization.extend.nesting.levels 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 DISTINCT p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select DISTINCT p_mfgr, p_name, p_size +from noop(on part +partition by p_mfgr +order by p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#3 almond antique chartreuse khaki white 17 +Manufacturer#5 almond antique sky peru orange 2 +Manufacturer#2 almond antique violet chocolate turquoise 14 +Manufacturer#1 almond antique chartreuse lavender yellow 34 +Manufacturer#2 almond aquamarine rose maroon antique 25 +Manufacturer#4 almond antique violet mint lemon 39 +Manufacturer#1 almond aquamarine burnished black steel 28 +Manufacturer#4 almond aquamarine floral ivory bisque 27 +Manufacturer#5 almond azure blanched chiffon midnight 23 +Manufacturer#2 almond antique violet turquoise frosted 40 +Manufacturer#3 almond antique olive coral navajo 45 +Manufacturer#3 almond antique misty red olive 1 +Manufacturer#5 almond antique blue firebrick mint 31 +Manufacturer#1 almond antique burnished rose metallic 2 +Manufacturer#2 almond aquamarine midnight light salmon 2 +Manufacturer#5 almond antique medium spring khaki 6 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 +Manufacturer#3 almond antique metallic orange dim 19 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 +Manufacturer#4 almond aquamarine yellow dodger mint 7 +Manufacturer#3 almond antique forest lavender goldenrod 14 +Manufacturer#4 almond antique gainsboro frosted violet 10 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 +Manufacturer#4 almond azure aquamarine papaya violet 12 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 +PREHOOK: query: -- 16. testViewAsTableInputToPTF +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +sum(p_retailprice) as s +from part +group by p_mfgr, p_brand +PREHOOK: type: CREATEVIEW +PREHOOK: Input: default@part +PREHOOK: Output: database:default +PREHOOK: Output: default@mfgr_price_view +POSTHOOK: query: -- 16. testViewAsTableInputToPTF +create view IF NOT EXISTS mfgr_price_view as +select p_mfgr, p_brand, +sum(p_retailprice) as s +from part +group by p_mfgr, p_brand +POSTHOOK: type: CREATEVIEW +POSTHOOK: Input: default@part +POSTHOOK: Output: database:default +POSTHOOK: Output: default@mfgr_price_view +PREHOOK: query: explain extended +select p_mfgr, p_brand, s, +sum(s) over w1 as s1 +from noop(on mfgr_price_view +partition by p_mfgr +order by p_mfgr) +window w1 as ( partition by p_mfgr order by p_brand rows between 2 preceding and current row) +PREHOOK: type: QUERY +POSTHOOK: query: explain extended +select p_mfgr, p_brand, s, +sum(s) over w1 as s1 +from noop(on mfgr_price_view +partition by p_mfgr +order by p_mfgr) +window w1 as ( partition by p_mfgr order by p_brand rows between 2 preceding and current row) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + mfgr_price_view + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_brand + TOK_SELEXPR + TOK_TABLE_OR_COL + s + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + s + TOK_WINDOWSPEC + w1 + s1 + window + TOK_WINDOWDEF + w1 + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_brand + TOK_WINDOWRANGE + preceding + 2 + current + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 12 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Select Operator + expressions: p_mfgr (type: string), p_brand (type: string), p_retailprice (type: double) + outputColumnNames: p_mfgr, p_brand, p_retailprice + Statistics: Num rows: 12 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(p_retailprice) + keys: p_mfgr (type: string), p_brand (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 12 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Statistics: Num rows: 12 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col2 (type: double) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col0 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: double), _wcol0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 6 Data size: 1285 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3 + columns.types string:string:double:double + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_brand, s, +sum(s) over w1 as s1 +from noop(on mfgr_price_view +partition by p_mfgr +order by p_mfgr) +window w1 as ( partition by p_mfgr order by p_brand rows between 2 preceding and current row) +PREHOOK: type: QUERY +PREHOOK: Input: default@mfgr_price_view +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_brand, s, +sum(s) over w1 as s1 +from noop(on mfgr_price_view +partition by p_mfgr +order by p_mfgr) +window w1 as ( partition by p_mfgr order by p_brand rows between 2 preceding and current row) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@mfgr_price_view +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 Brand#12 4800.84 4800.84 +Manufacturer#1 Brand#14 2346.3 7147.14 +Manufacturer#1 Brand#15 1602.59 8749.73 +Manufacturer#2 Brand#22 3491.38 3491.38 +Manufacturer#2 Brand#23 2031.98 5523.360000000001 +Manufacturer#2 Brand#24 1698.66 7222.02 +Manufacturer#2 Brand#25 1701.6 5432.240000000001 +Manufacturer#3 Brand#31 1671.68 1671.68 +Manufacturer#3 Brand#32 3333.37 5005.05 +Manufacturer#3 Brand#34 1337.29 6342.34 +Manufacturer#3 Brand#35 1190.27 5860.93 +Manufacturer#4 Brand#41 4755.9400000000005 4755.9400000000005 +Manufacturer#4 Brand#42 2581.6800000000003 7337.620000000001 +Manufacturer#5 Brand#51 1611.66 1611.66 +Manufacturer#5 Brand#52 3254.17 4865.83 +Manufacturer#5 Brand#53 2806.83 7672.66 +PREHOOK: query: -- 17. testMultipleInserts2SWQsWithPTF +CREATE TABLE part_4( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_4 +POSTHOOK: query: -- 17. testMultipleInserts2SWQsWithPTF +CREATE TABLE part_4( +p_mfgr STRING, +p_name STRING, +p_size INT, +r INT, +dr INT, +s DOUBLE) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_4 +PREHOOK: query: CREATE TABLE part_5( +p_mfgr STRING, +p_name STRING, +p_size INT, +s2 INT, +r INT, +dr INT, +cud DOUBLE, +fv1 INT) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@part_5 +POSTHOOK: query: CREATE TABLE part_5( +p_mfgr STRING, +p_name STRING, +p_size INT, +s2 INT, +r INT, +dr INT, +cud DOUBLE, +fv1 INT) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@part_5 +PREHOOK: query: explain extended +from noop(on part +partition by p_mfgr +order by p_name) +INSERT OVERWRITE TABLE part_4 select p_mfgr, p_name, p_size, +rank() over (distribute by p_mfgr sort by p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_name) as dr, +sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s +INSERT OVERWRITE TABLE part_5 select p_mfgr,p_name, p_size, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as dr, +cume_dist() over (distribute by p_mfgr sort by p_mfgr, p_name) as cud, +first_value(p_size, true) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +POSTHOOK: query: explain extended +from noop(on part +partition by p_mfgr +order by p_name) +INSERT OVERWRITE TABLE part_4 select p_mfgr, p_name, p_size, +rank() over (distribute by p_mfgr sort by p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_name) as dr, +sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s +INSERT OVERWRITE TABLE part_5 select p_mfgr,p_name, p_size, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as dr, +cume_dist() over (distribute by p_mfgr sort by p_mfgr, p_name) as cud, +first_value(p_size, true) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_TAB + TOK_TABNAME + part_4 + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_retailprice + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s + TOK_INSERT + TOK_DESTINATION + TOK_TAB + TOK_TABNAME + part_5 + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + round + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_size + TOK_WINDOWVALUES + preceding + 5 + current + 1 + s2 + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_FUNCTION + cume_dist + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + cud + TOK_SELEXPR + TOK_FUNCTION + first_value + TOK_TABLE_OR_COL + p_size + true + TOK_WINDOWSPEC + w1 + fv1 + window + TOK_WINDOWDEF + w1 + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_SORTBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + 2 + following + 2 + + +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-3 depends on stages: Stage-2 + Stage-1 depends on stages: Stage-3 + Stage-4 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-3 + Stage-5 depends on stages: Stage-0 + +STAGE PLANS: + Stage: Stage-2 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) + Reducer 5 <- Reducer 2 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col5 (type: int) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + outputColumnNames: _col1, _col2, _col5, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int), _col7 (type: double) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string), _col1 (type: string) + sort order: +++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _wcol0 (type: bigint), _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: string), _col2 (type: string), _col6 (type: int), UDFToInteger(round(_col0, 1)) (type: int), _wcol1 (type: int), _wcol2 (type: int), _wcol3 (type: double), _wcol4 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 2 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + bucket_count -1 + columns p_mfgr,p_name,p_size,s2,r,dr,cud,fv1 + columns.comments + columns.types string:string:int:int:int:int:double:int +#### A masked pattern was here #### + name default.part_5 + serialization.ddl struct part_5 { string p_mfgr, string p_name, i32 p_size, i32 s2, i32 r, i32 dr, double cud, i32 fv1} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_5 + TotalFiles: 1 + GatherStats: true + MultiFileSpray: false + Reducer 5 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _col5 (type: int), _wcol0 (type: int), _wcol1 (type: int), _wcol2 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 1 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + bucket_count -1 + columns p_mfgr,p_name,p_size,r,dr,s + columns.comments + columns.types string:string:int:int:int:double +#### A masked pattern was here #### + name default.part_4 + serialization.ddl struct part_4 { string p_mfgr, string p_name, i32 p_size, i32 r, i32 dr, double s} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_4 + TotalFiles: 1 + GatherStats: true + MultiFileSpray: false + + Stage: Stage-3 + Dependency Collection + + Stage: Stage-1 + Move Operator + tables: + replace: true +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + bucket_count -1 + columns p_mfgr,p_name,p_size,s2,r,dr,cud,fv1 + columns.comments + columns.types string:string:int:int:int:int:double:int +#### A masked pattern was here #### + name default.part_5 + serialization.ddl struct part_5 { string p_mfgr, string p_name, i32 p_size, i32 s2, i32 r, i32 dr, double cud, i32 fv1} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_5 + + Stage: Stage-4 + Stats-Aggr Operator +#### A masked pattern was here #### + + Stage: Stage-0 + Move Operator + tables: + replace: true +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + bucket_count -1 + columns p_mfgr,p_name,p_size,r,dr,s + columns.comments + columns.types string:string:int:int:int:double +#### A masked pattern was here #### + name default.part_4 + serialization.ddl struct part_4 { string p_mfgr, string p_name, i32 p_size, i32 r, i32 dr, double s} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + name: default.part_4 + + Stage: Stage-5 + Stats-Aggr Operator +#### A masked pattern was here #### + +PREHOOK: query: from noop(on part +partition by p_mfgr +order by p_name) +INSERT OVERWRITE TABLE part_4 select p_mfgr, p_name, p_size, +rank() over (distribute by p_mfgr sort by p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_name) as dr, +sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s +INSERT OVERWRITE TABLE part_5 select p_mfgr,p_name, p_size, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as dr, +cume_dist() over (distribute by p_mfgr sort by p_mfgr, p_name) as cud, +first_value(p_size, true) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +PREHOOK: Output: default@part_4 +PREHOOK: Output: default@part_5 +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to +POSTHOOK: query: from noop(on part +partition by p_mfgr +order by p_name) +INSERT OVERWRITE TABLE part_4 select p_mfgr, p_name, p_size, +rank() over (distribute by p_mfgr sort by p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_name) as dr, +sum(p_retailprice) over (distribute by p_mfgr sort by p_name rows between unbounded preceding and current row) as s +INSERT OVERWRITE TABLE part_5 select p_mfgr,p_name, p_size, +round(sum(p_size) over (distribute by p_mfgr sort by p_size range between 5 preceding and current row),1) as s2, +rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as r, +dense_rank() over (distribute by p_mfgr sort by p_mfgr, p_name) as dr, +cume_dist() over (distribute by p_mfgr sort by p_mfgr, p_name) as cud, +first_value(p_size, true) over w1 as fv1 +window w1 as (distribute by p_mfgr sort by p_mfgr, p_name rows between 2 preceding and 2 following) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +POSTHOOK: Output: default@part_4 +POSTHOOK: Output: default@part_5 +POSTHOOK: Lineage: part_4.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_4.p_mfgr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_4.p_name SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_4.p_size SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_4.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_4.s SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.cud SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.dr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.fv1 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.p_mfgr SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.p_name SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.p_size SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.r SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +POSTHOOK: Lineage: part_5.s2 SCRIPT [(part)part.FieldSchema(name:p_partkey, type:int, comment:null), (part)part.FieldSchema(name:p_name, type:string, comment:null), (part)part.FieldSchema(name:p_mfgr, type:string, comment:null), (part)part.FieldSchema(name:p_brand, type:string, comment:null), (part)part.FieldSchema(name:p_type, type:string, comment:null), (part)part.FieldSchema(name:p_size, type:int, comment:null), (part)part.FieldSchema(name:p_container, type:string, comment:null), (part)part.FieldSchema(name:p_retailprice, type:double, comment:null), (part)part.FieldSchema(name:p_comment, type:string, comment:null), (part)part.FieldSchema(name:BLOCK__OFFSET__INSIDE__FILE, type:bigint, comment:), (part)part.FieldSchema(name:INPUT__FILE__NAME, type:string, comment:), (part)part.FieldSchema(name:ROW__ID, type:struct, comment:), ] +PREHOOK: query: select * from part_4 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_4 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_4 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_4 +#### A masked pattern was here #### +PREHOOK: query: select * from part_5 +PREHOOK: type: QUERY +PREHOOK: Input: default@part_5 +#### A masked pattern was here #### +POSTHOOK: query: select * from part_5 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part_5 +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 2 4 1 1 0.3333333333333333 2 +Manufacturer#1 almond antique burnished rose metallic 2 4 1 1 0.3333333333333333 2 +Manufacturer#1 almond antique burnished rose metallic 2 118 1 1 0.3333333333333333 2 +Manufacturer#1 almond antique burnished rose metallic 2 118 1 1 0.3333333333333333 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 5 2 0.5 2 +Manufacturer#1 almond antique chartreuse lavender yellow 34 34 5 2 0.5 2 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 44 7 3 0.6666666666666666 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 6 124 7 3 0.6666666666666666 34 +Manufacturer#1 almond aquamarine burnished black steel 28 28 9 4 0.8333333333333334 6 +Manufacturer#1 almond aquamarine burnished black steel 28 28 9 4 0.8333333333333334 6 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 11 5 1.0 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 42 42 11 5 1.0 28 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 1 1 0.2 14 +Manufacturer#2 almond antique violet chocolate turquoise 14 14 1 1 0.2 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 3 2 0.4 14 +Manufacturer#2 almond antique violet turquoise frosted 40 40 3 2 0.4 14 +Manufacturer#2 almond aquamarine midnight light salmon 2 56 5 3 0.6 40 +Manufacturer#2 almond aquamarine midnight light salmon 2 101 5 3 0.6 40 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 7 4 0.8 2 +Manufacturer#2 almond aquamarine rose maroon antique 25 25 7 4 0.8 2 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 43 9 5 1.0 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 18 32 9 5 1.0 25 +Manufacturer#3 almond antique chartreuse khaki white 17 17 1 1 0.2 17 +Manufacturer#3 almond antique chartreuse khaki white 17 31 1 1 0.2 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 31 3 2 0.4 17 +Manufacturer#3 almond antique forest lavender goldenrod 14 14 3 2 0.4 17 +Manufacturer#3 almond antique metallic orange dim 19 50 5 3 0.6 14 +Manufacturer#3 almond antique metallic orange dim 19 50 5 3 0.6 14 +Manufacturer#3 almond antique misty red olive 1 51 7 4 0.8 19 +Manufacturer#3 almond antique misty red olive 1 97 7 4 0.8 19 +Manufacturer#3 almond antique olive coral navajo 45 45 9 5 1.0 1 +Manufacturer#3 almond antique olive coral navajo 45 45 9 5 1.0 1 +Manufacturer#4 almond antique gainsboro frosted violet 10 10 1 1 0.2 10 +Manufacturer#4 almond antique gainsboro frosted violet 10 112 1 1 0.2 10 +Manufacturer#4 almond antique violet mint lemon 39 39 3 2 0.4 10 +Manufacturer#4 almond antique violet mint lemon 39 39 3 2 0.4 10 +Manufacturer#4 almond aquamarine floral ivory bisque 27 66 5 3 0.6 39 +Manufacturer#4 almond aquamarine floral ivory bisque 27 27 5 3 0.6 39 +Manufacturer#4 almond aquamarine yellow dodger mint 7 83 7 4 0.8 27 +Manufacturer#4 almond aquamarine yellow dodger mint 7 102 7 4 0.8 27 +Manufacturer#4 almond azure aquamarine papaya violet 12 95 9 5 1.0 7 +Manufacturer#4 almond azure aquamarine papaya violet 12 124 9 5 1.0 7 +Manufacturer#5 almond antique blue firebrick mint 31 31 1 1 0.2 31 +Manufacturer#5 almond antique blue firebrick mint 31 31 1 1 0.2 31 +Manufacturer#5 almond antique medium spring khaki 6 37 3 2 0.4 31 +Manufacturer#5 almond antique medium spring khaki 6 116 3 2 0.4 31 +Manufacturer#5 almond antique sky peru orange 2 39 5 3 0.6 6 +Manufacturer#5 almond antique sky peru orange 2 110 5 3 0.6 6 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 7 4 0.8 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 46 46 7 4 0.8 2 +Manufacturer#5 almond azure blanched chiffon midnight 23 69 9 5 1.0 46 +Manufacturer#5 almond azure blanched chiffon midnight 23 23 9 5 1.0 46 +PREHOOK: query: -- 18. testMulti2OperatorsFunctionChainWithMap + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noop(on + noopwithmap(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 18. testMulti2OperatorsFunctionChainWithMap + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noop(on + noopwithmap(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noopwithmap + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_mfgr (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noop(on + noopwithmap(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noop(on + noopwithmap(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1 1 34 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 1 6 6 +Manufacturer#1 almond aquamarine burnished black steel 1 1 28 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 1 42 42 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 +Manufacturer#2 almond antique violet turquoise frosted 1 1 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 1 1 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 1 1 25 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 1 18 18 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 1 1 14 14 +Manufacturer#3 almond antique metallic orange dim 1 1 19 19 +Manufacturer#3 almond antique misty red olive 1 1 1 1 +Manufacturer#3 almond antique olive coral navajo 1 1 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 +Manufacturer#4 almond antique violet mint lemon 1 1 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 1 1 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 1 1 7 7 +Manufacturer#4 almond azure aquamarine papaya violet 1 1 12 12 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 +Manufacturer#5 almond antique medium spring khaki 1 1 6 6 +Manufacturer#5 almond antique sky peru orange 1 1 2 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 1 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 1 1 23 23 +PREHOOK: query: -- 19. testMulti3OperatorsFunctionChain + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr + order by p_mfgr ) +PREHOOK: type: QUERY +POSTHOOK: query: -- 19. testMulti3OperatorsFunctionChain + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr + order by p_mfgr ) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) + Reducer 5 <- Reducer 4 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_mfgr (type: string) + sort order: ++ + Map-reduce partition columns: p_mfgr (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 5 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr + order by p_mfgr ) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name rows between unbounded preceding and current row) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr + order by p_mfgr) + ) + partition by p_mfgr,p_name + order by p_mfgr,p_name) + partition by p_mfgr + order by p_mfgr ) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 34 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 6 44 +Manufacturer#1 almond aquamarine burnished black steel 5 4 28 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 42 114 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 +Manufacturer#2 almond antique violet turquoise frosted 2 2 40 54 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 2 56 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 25 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 18 99 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 14 31 +Manufacturer#3 almond antique metallic orange dim 3 3 19 50 +Manufacturer#3 almond antique misty red olive 4 4 1 51 +Manufacturer#3 almond antique olive coral navajo 5 5 45 96 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 +Manufacturer#4 almond antique violet mint lemon 2 2 39 49 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 27 76 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 7 83 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 12 95 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 +Manufacturer#5 almond antique medium spring khaki 2 2 6 37 +Manufacturer#5 almond antique sky peru orange 3 3 2 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 46 85 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 23 108 +PREHOOK: query: -- 20. testMultiOperatorChainWithNoWindowing + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr)) +PREHOOK: type: QUERY +POSTHOOK: query: -- 20. testMultiOperatorChainWithNoWindowing + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr)) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_mfgr (type: string), p_name (type: string) + sort order: ++++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr)) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr order by p_name) as s1 +from noop(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr)) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 34 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 6 44 +Manufacturer#1 almond aquamarine burnished black steel 5 4 28 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 42 114 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 +Manufacturer#2 almond antique violet turquoise frosted 2 2 40 54 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 2 56 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 25 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 18 99 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 14 31 +Manufacturer#3 almond antique metallic orange dim 3 3 19 50 +Manufacturer#3 almond antique misty red olive 4 4 1 51 +Manufacturer#3 almond antique olive coral navajo 5 5 45 96 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 +Manufacturer#4 almond antique violet mint lemon 2 2 39 49 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 27 76 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 7 83 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 12 95 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 +Manufacturer#5 almond antique medium spring khaki 2 2 6 37 +Manufacturer#5 almond antique sky peru orange 3 3 2 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 46 85 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 23 108 +PREHOOK: query: -- 21. testMultiOperatorChainEndsWithNoopMap + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +PREHOOK: type: QUERY +POSTHOOK: query: -- 21. testMultiOperatorChainEndsWithNoopMap + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noopwithmap + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) + Reducer 5 <- Reducer 4 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_mfgr (type: string), p_name (type: string) + sort order: ++++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 5 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5 + columns.types string:string:int:int:int:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name) as dr, +p_size, sum(p_size) over (partition by p_mfgr,p_name rows between unbounded preceding and current row) as s1 +from noopwithmap(on + noop(on + noop(on + noop(on part + partition by p_mfgr,p_name + order by p_mfgr,p_name) + ) + partition by p_mfgr + order by p_mfgr) + partition by p_mfgr,p_name + order by p_mfgr,p_name) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1 1 34 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 1 6 6 +Manufacturer#1 almond aquamarine burnished black steel 1 1 28 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 1 42 42 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 +Manufacturer#2 almond antique violet turquoise frosted 1 1 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 1 1 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 1 1 25 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 1 18 18 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 1 1 14 14 +Manufacturer#3 almond antique metallic orange dim 1 1 19 19 +Manufacturer#3 almond antique misty red olive 1 1 1 1 +Manufacturer#3 almond antique olive coral navajo 1 1 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 +Manufacturer#4 almond antique violet mint lemon 1 1 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 1 1 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 1 1 7 7 +Manufacturer#4 almond azure aquamarine papaya violet 1 1 12 12 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 +Manufacturer#5 almond antique medium spring khaki 1 1 6 6 +Manufacturer#5 almond antique sky peru orange 1 1 2 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 1 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 1 1 23 23 +PREHOOK: query: -- 22. testMultiOperatorChainWithDiffPartitionForWindow1 + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s2 +from noop(on + noopwithmap(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + partition by p_mfgr + order by p_mfgr + )) +PREHOOK: type: QUERY +POSTHOOK: query: -- 22. testMultiOperatorChainWithDiffPartitionForWindow1 + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s2 +from noop(on + noopwithmap(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + partition by p_mfgr + order by p_mfgr + )) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noopwithmap + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s1 + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWRANGE + preceding + unbounded + current + s2 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_mfgr (type: string), p_name (type: string) + sort order: ++++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col2 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6 + columns.types string:string:int:int:int:bigint:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s2 +from noop(on + noopwithmap(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + partition by p_mfgr + order by p_mfgr + )) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as r, +dense_rank() over (partition by p_mfgr,p_name order by p_mfgr,p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr,p_name order by p_mfgr,p_name rows between unbounded preceding and current row) as s2 +from noop(on + noopwithmap(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + partition by p_mfgr + order by p_mfgr + )) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 2 2 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 1 1 34 34 34 +Manufacturer#1 almond antique salmon chartreuse burlywood 1 1 6 6 6 +Manufacturer#1 almond aquamarine burnished black steel 1 1 28 28 28 +Manufacturer#1 almond aquamarine pink moccasin thistle 1 1 42 42 42 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 1 1 40 40 40 +Manufacturer#2 almond aquamarine midnight light salmon 1 1 2 2 2 +Manufacturer#2 almond aquamarine rose maroon antique 1 1 25 25 25 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 1 1 18 18 18 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 1 1 14 14 14 +Manufacturer#3 almond antique metallic orange dim 1 1 19 19 19 +Manufacturer#3 almond antique misty red olive 1 1 1 1 1 +Manufacturer#3 almond antique olive coral navajo 1 1 45 45 45 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 10 +Manufacturer#4 almond antique violet mint lemon 1 1 39 39 39 +Manufacturer#4 almond aquamarine floral ivory bisque 1 1 27 27 27 +Manufacturer#4 almond aquamarine yellow dodger mint 1 1 7 7 7 +Manufacturer#4 almond azure aquamarine papaya violet 1 1 12 12 12 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 31 +Manufacturer#5 almond antique medium spring khaki 1 1 6 6 6 +Manufacturer#5 almond antique sky peru orange 1 1 2 2 2 +Manufacturer#5 almond aquamarine dodger light gainsboro 1 1 46 46 46 +Manufacturer#5 almond azure blanched chiffon midnight 1 1 23 23 23 +PREHOOK: query: -- 23. testMultiOperatorChainWithDiffPartitionForWindow2 + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s2 +from noopwithmap(on + noop(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + )) +PREHOOK: type: QUERY +POSTHOOK: query: -- 23. testMultiOperatorChainWithDiffPartitionForWindow2 + +explain extended +select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s2 +from noopwithmap(on + noop(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + )) +POSTHOOK: type: QUERY +ABSTRACT SYNTAX TREE: + +TOK_QUERY + TOK_FROM + TOK_PTBLFUNCTION + noopwithmap + TOK_PTBLFUNCTION + noop + TOK_PTBLFUNCTION + noop + TOK_TABREF + TOK_TABNAME + part + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_TABLE_OR_COL + p_name + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_mfgr + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_INSERT + TOK_DESTINATION + TOK_DIR + TOK_TMP_FILE + TOK_SELECT + TOK_SELEXPR + TOK_TABLE_OR_COL + p_mfgr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_name + TOK_SELEXPR + TOK_FUNCTION + rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + r + TOK_SELEXPR + TOK_FUNCTION + dense_rank + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + dr + TOK_SELEXPR + TOK_TABLE_OR_COL + p_size + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWVALUES + preceding + unbounded + current + s1 + TOK_SELEXPR + TOK_FUNCTION + sum + TOK_TABLE_OR_COL + p_size + TOK_WINDOWSPEC + TOK_PARTITIONINGSPEC + TOK_DISTRIBUTEBY + TOK_TABLE_OR_COL + p_mfgr + TOK_ORDERBY + TOK_TABSORTCOLNAMEASC + TOK_TABLE_OR_COL + p_name + TOK_WINDOWVALUES + preceding + unbounded + current + s2 + + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP SORT) + Reducer 4 <- Reducer 3 (GROUP SORT) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: part + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + GatherStats: false + Reduce Output Operator + key expressions: p_mfgr (type: string), p_name (type: string), p_mfgr (type: string), p_name (type: string) + sort order: ++++ + Map-reduce partition columns: p_mfgr (type: string), p_name (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: p_partkey (type: int), p_name (type: string), p_mfgr (type: string), p_brand (type: string), p_type (type: string), p_size (type: int), p_container (type: string), p_retailprice (type: double), p_comment (type: string), BLOCK__OFFSET__INSIDE__FILE (type: bigint), INPUT__FILE__NAME (type: string), ROW__ID (type: struct) + auto parallelism: true + Path -> Alias: +#### A masked pattern was here #### + Path -> Partition: +#### A masked pattern was here #### + Partition + base file name: part + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + + input format: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + output format: org.apache.hadoop.hive.ql.io.orc.OrcOutputFormat + properties: + COLUMN_STATS_ACCURATE true + bucket_count -1 + columns p_partkey,p_name,p_mfgr,p_brand,p_type,p_size,p_container,p_retailprice,p_comment + columns.comments + columns.types int:string:string:string:string:int:string:double:string +#### A masked pattern was here #### + name default.part + numFiles 1 + numRows -1 + rawDataSize -1 + serialization.ddl struct part { i32 p_partkey, string p_name, string p_mfgr, string p_brand, string p_type, i32 p_size, string p_container, double p_retailprice, string p_comment} + serialization.format 1 + serialization.lib org.apache.hadoop.hive.ql.io.orc.OrcSerde + totalSize 2571 +#### A masked pattern was here #### + serde: org.apache.hadoop.hive.ql.io.orc.OrcSerde + name: default.part + name: default.part + Truncated Path -> Alias: + /part [part] + Reducer 2 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string), _col2 (type: string), _col1 (type: string) + sort order: ++++ + Map-reduce partition columns: _col2 (type: string), _col1 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: double), _col8 (type: string), _col9 (type: bigint), _col10 (type: string), _col11 (type: struct) + auto parallelism: true + Reducer 3 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col2 (type: string) + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + tag: -1 + value expressions: _col1 (type: string), _col2 (type: string), _col5 (type: int) + auto parallelism: true + Reducer 4 + Needs Tagging: false + Reduce Operator Tree: + Extract + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col1 (type: string), _wcol0 (type: int), _wcol1 (type: int), _col5 (type: int), _wcol2 (type: bigint), _wcol2 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + GlobalTableId: 0 +#### A masked pattern was here #### + NumFilesPerFileSink: 1 + Statistics: Num rows: 4 Data size: 2571 Basic stats: COMPLETE Column stats: NONE +#### A masked pattern was here #### + table: + input format: org.apache.hadoop.mapred.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + properties: + columns _col0,_col1,_col2,_col3,_col4,_col5,_col6 + columns.types string:string:int:int:int:bigint:bigint + escape.delim \ + hive.serialization.extend.nesting.levels 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 p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s2 +from noopwithmap(on + noop(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + )) +PREHOOK: type: QUERY +PREHOOK: Input: default@part +#### A masked pattern was here #### +POSTHOOK: query: select p_mfgr, p_name, +rank() over (partition by p_mfgr order by p_name) as r, +dense_rank() over (partition by p_mfgr order by p_name) as dr, +p_size, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s1, +sum(p_size) over (partition by p_mfgr order by p_name range between unbounded preceding and current row) as s2 +from noopwithmap(on + noop(on + noop(on part + partition by p_mfgr, p_name + order by p_mfgr, p_name) + )) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@part +#### A masked pattern was here #### +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 4 +Manufacturer#1 almond antique burnished rose metallic 1 1 2 4 4 +Manufacturer#1 almond antique chartreuse lavender yellow 3 2 34 38 38 +Manufacturer#1 almond antique salmon chartreuse burlywood 4 3 6 44 44 +Manufacturer#1 almond aquamarine burnished black steel 5 4 28 72 72 +Manufacturer#1 almond aquamarine pink moccasin thistle 6 5 42 114 114 +Manufacturer#2 almond antique violet chocolate turquoise 1 1 14 14 14 +Manufacturer#2 almond antique violet turquoise frosted 2 2 40 54 54 +Manufacturer#2 almond aquamarine midnight light salmon 3 3 2 56 56 +Manufacturer#2 almond aquamarine rose maroon antique 4 4 25 81 81 +Manufacturer#2 almond aquamarine sandy cyan gainsboro 5 5 18 99 99 +Manufacturer#3 almond antique chartreuse khaki white 1 1 17 17 17 +Manufacturer#3 almond antique forest lavender goldenrod 2 2 14 31 31 +Manufacturer#3 almond antique metallic orange dim 3 3 19 50 50 +Manufacturer#3 almond antique misty red olive 4 4 1 51 51 +Manufacturer#3 almond antique olive coral navajo 5 5 45 96 96 +Manufacturer#4 almond antique gainsboro frosted violet 1 1 10 10 10 +Manufacturer#4 almond antique violet mint lemon 2 2 39 49 49 +Manufacturer#4 almond aquamarine floral ivory bisque 3 3 27 76 76 +Manufacturer#4 almond aquamarine yellow dodger mint 4 4 7 83 83 +Manufacturer#4 almond azure aquamarine papaya violet 5 5 12 95 95 +Manufacturer#5 almond antique blue firebrick mint 1 1 31 31 31 +Manufacturer#5 almond antique medium spring khaki 2 2 6 37 37 +Manufacturer#5 almond antique sky peru orange 3 3 2 39 39 +Manufacturer#5 almond aquamarine dodger light gainsboro 4 4 46 85 85 +Manufacturer#5 almond azure blanched chiffon midnight 5 5 23 108 108 Index: ql/src/test/results/clientpositive/spark/vectorized_shufflejoin.q.out =================================================================== --- ql/src/test/results/clientpositive/spark/vectorized_shufflejoin.q.out (revision 0) +++ ql/src/test/results/clientpositive/spark/vectorized_shufflejoin.q.out (working copy) @@ -0,0 +1,107 @@ +PREHOOK: query: EXPLAIN SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP SORT), Map 4 (GROUP SORT) + Reducer 3 <- Reducer 2 (GROUP) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: t2 + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cint is not null (type: boolean) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Map 4 + Map Operator Tree: + TableScan + alias: t1 + Statistics: Num rows: 94309 Data size: 377237 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cint is not null (type: boolean) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: cint (type: int) + sort order: + + Map-reduce partition columns: cint (type: int) + Statistics: Num rows: 47155 Data size: 188620 Basic stats: COMPLETE Column stats: NONE + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + condition expressions: + 0 {KEY.reducesinkkey0} + 1 {KEY.reducesinkkey0} + outputColumnNames: _col2, _col17 + Statistics: Num rows: 51870 Data size: 207482 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), _col17 (type: int) + outputColumnNames: _col2, _col17 + Statistics: Num rows: 51870 Data size: 207482 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count(_col2), max(_col17), min(_col2), avg((_col2 + _col17)) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: int), _col2 (type: int), _col3 (type: struct) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0), max(VALUE._col1), min(VALUE._col2), avg(VALUE._col3) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: bigint), _col1 (type: int), _col2 (type: int), _col3 (type: double) + 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.TextInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +PREHOOK: type: QUERY +PREHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +POSTHOOK: query: SELECT COUNT(t1.cint), MAX(t2.cint), MIN(t1.cint), AVG(t1.cint+t2.cint) + FROM alltypesorc t1 + JOIN alltypesorc t2 ON t1.cint = t2.cint +POSTHOOK: type: QUERY +POSTHOOK: Input: default@alltypesorc +#### A masked pattern was here #### +3152013 1073680599 -1073279343 9.375396162525452E8