http://git-wip-us.apache.org/repos/asf/hive/blob/53980ba6/ql/src/test/results/clientpositive/llap/vector_case_when_2.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/llap/vector_case_when_2.q.out b/ql/src/test/results/clientpositive/llap/vector_case_when_2.q.out new file mode 100644 index 0000000..38187bb --- /dev/null +++ b/ql/src/test/results/clientpositive/llap/vector_case_when_2.q.out @@ -0,0 +1,884 @@ +PREHOOK: query: create table timestamps_txt (tsval timestamp) STORED AS TEXTFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@timestamps_txt +POSTHOOK: query: create table timestamps_txt (tsval timestamp) STORED AS TEXTFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@timestamps_txt +PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/timestamps.txt' OVERWRITE INTO TABLE timestamps_txt +PREHOOK: type: LOAD +#### A masked pattern was here #### +PREHOOK: Output: default@timestamps_txt +POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/timestamps.txt' OVERWRITE INTO TABLE timestamps_txt +POSTHOOK: type: LOAD +#### A masked pattern was here #### +POSTHOOK: Output: default@timestamps_txt +PREHOOK: query: create table timestamps (cdate date, ctimestamp1 timestamp, stimestamp1 string, ctimestamp2 timestamp) stored as orc +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@timestamps +POSTHOOK: query: create table timestamps (cdate date, ctimestamp1 timestamp, stimestamp1 string, ctimestamp2 timestamp) stored as orc +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@timestamps +PREHOOK: query: insert overwrite table timestamps + select cast(tsval as date), tsval, cast(tsval as string), tsval - '1 2:3:4' day to second from timestamps_txt +PREHOOK: type: QUERY +PREHOOK: Input: default@timestamps_txt +PREHOOK: Output: default@timestamps +POSTHOOK: query: insert overwrite table timestamps + select cast(tsval as date), tsval, cast(tsval as string), tsval - '1 2:3:4' day to second from timestamps_txt +POSTHOOK: type: QUERY +POSTHOOK: Input: default@timestamps_txt +POSTHOOK: Output: default@timestamps +POSTHOOK: Lineage: timestamps.cdate EXPRESSION [(timestamps_txt)timestamps_txt.FieldSchema(name:tsval, type:timestamp, comment:null), ] +POSTHOOK: Lineage: timestamps.ctimestamp1 SIMPLE [(timestamps_txt)timestamps_txt.FieldSchema(name:tsval, type:timestamp, comment:null), ] +POSTHOOK: Lineage: timestamps.ctimestamp2 EXPRESSION [(timestamps_txt)timestamps_txt.FieldSchema(name:tsval, type:timestamp, comment:null), ] +POSTHOOK: Lineage: timestamps.stimestamp1 EXPRESSION [(timestamps_txt)timestamps_txt.FieldSchema(name:tsval, type:timestamp, comment:null), ] +tsval tsval _c2 _c3 +PREHOOK: query: INSERT INTO TABLE timestamps VALUES (NULL,NULL,NULL,NULL) +PREHOOK: type: QUERY +PREHOOK: Input: _dummy_database@_dummy_table +PREHOOK: Output: default@timestamps +POSTHOOK: query: INSERT INTO TABLE timestamps VALUES (NULL,NULL,NULL,NULL) +POSTHOOK: type: QUERY +POSTHOOK: Input: _dummy_database@_dummy_table +POSTHOOK: Output: default@timestamps +POSTHOOK: Lineage: timestamps.cdate EXPRESSION [] +POSTHOOK: Lineage: timestamps.ctimestamp1 EXPRESSION [] +POSTHOOK: Lineage: timestamps.ctimestamp2 EXPRESSION [] +POSTHOOK: Lineage: timestamps.stimestamp1 EXPRESSION [] +_col0 _col1 _col2 _col3 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: timestamps + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), CASE WHEN ((ctimestamp2 <= TIMESTAMP'1800-12-31 00:00:00.0')) THEN ('1800s or Earlier') WHEN ((ctimestamp2 < TIMESTAMP'1900-01-01 00:00:00.0')) THEN ('1900s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE ('Unknown') END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ctimestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE (null) END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ct imestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN (null) ELSE (null) END (type: string), if((TIMESTAMP'1974-10-04 17:21:03.989' > ctimestamp1), year(ctimestamp1), year(ctimestamp2)) (type: int), CASE WHEN ((stimestamp1 like '%19%')) THEN (stimestamp1) ELSE (TIMESTAMP'2018-03-08 23:04:59.0') END (type: string), if((ctimestamp1 = TIMESTAMP'2021-09-24 03:18:32.413655165'), null, minute(ctimestamp1)) (type: int), if(((ctimestamp2 >= TIMESTAMP'5344-10-04 18:40:08.165') and (ctimestamp2 < TIMESTAMP'6631-11-13 16:31:29.702202248')), minute(ctimestamp1), null) (type: int), if(((UDFToDouble(ctimestamp1) % 500.0D) > 100.0D), date_add(cdate, 1), date_add(cdate, 365)) (type: date), stimestamp1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: timestamp), _col10 (type: string), _col1 (type: timestamp) + sort order: +++ + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: int), _col8 (type: int), _col9 (type: date) + Execution mode: llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + notVectorizedReason: SELECT operator: Unexpected primitive type category VOID + vectorized: false + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:string, KEY.reducesinkkey2:timestamp, VALUE._col0:string, VALUE._col1:string, VALUE._col2:string, VALUE._col3:int, VALUE._col4:string, VALUE._col5:int, VALUE._col6:int, VALUE._col7:date + partitionColumnCount: 0 + scratchColumnTypeNames: [] + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey2 (type: timestamp), VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: int), VALUE._col4 (type: string), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: date) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +PREHOOK: Input: default@timestamps +#### A masked pattern was here #### +POSTHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@timestamps +#### A masked pattern was here #### +ctimestamp1 ctimestamp2 ctimestamp2_description ctimestamp2_description_2 ctimestamp2_description_3 field1 field_2 field_3 field_4 field_5 +NULL NULL Unknown NULL NULL NULL 2018-03-08 23:04:59 NULL NULL NULL +0004-09-22 18:26:29.519542222 0004-09-21 16:23:25.519542222 1800s or Earlier Old Old 4 0004-09-22 18:26:29.519542222 26 NULL 0005-09-22 +0528-10-27 08:15:18.941718273 0528-10-26 06:12:14.941718273 1800s or Earlier Old Old 528 2018-03-08 23:04:59 15 NULL 0529-10-27 +1319-02-02 16:31:57.778 1319-02-01 14:28:53.778 1800s or Earlier Old Old 1319 1319-02-02 16:31:57.778 31 NULL 1320-02-02 +1404-07-23 15:32:16.059185026 1404-07-22 13:29:12.059185026 1800s or Earlier Old Old 1404 2018-03-08 23:04:59 32 NULL 1405-07-23 +1815-05-06 00:12:37.543584705 1815-05-04 22:09:33.543584705 1900s Old Old 1815 2018-03-08 23:04:59 12 NULL 1816-05-05 +1883-04-17 04:14:34.647766229 1883-04-16 02:11:30.647766229 1900s Old Old 1883 2018-03-08 23:04:59 14 NULL 1884-04-16 +1966-08-16 13:36:50.183618031 1966-08-15 11:33:46.183618031 Early 2010s Old Old 1966 1966-08-16 13:36:50.183618031 36 NULL 1967-08-16 +1973-04-17 06:30:38.596784156 1973-04-16 04:27:34.596784156 Early 2010s Old Old 1973 1973-04-17 06:30:38.596784156 30 NULL 1974-04-17 +1974-10-04 17:21:03.989 1974-10-03 15:17:59.989 Early 2010s Old Old 1974 1974-10-04 17:21:03.989 21 NULL 1974-10-05 +1976-03-03 04:54:33.000895162 1976-03-02 02:51:29.000895162 Early 2010s Old Old 1976 1976-03-03 04:54:33.000895162 54 NULL 1976-03-04 +1976-05-06 00:42:30.910786948 1976-05-04 22:39:26.910786948 Early 2010s Old Old 1976 1976-05-06 00:42:30.910786948 42 NULL 1977-05-06 +1978-08-05 14:41:05.501 1978-08-04 12:38:01.501 Early 2010s Old Old 1978 1978-08-05 14:41:05.501 41 NULL 1978-08-06 +1981-04-25 09:01:12.077192689 1981-04-24 06:58:08.077192689 Early 2010s Old Old 1981 1981-04-25 09:01:12.077192689 1 NULL 1982-04-25 +1981-11-15 23:03:10.999338387 1981-11-14 21:00:06.999338387 Early 2010s Old Old 1981 1981-11-15 23:03:10.999338387 3 NULL 1981-11-16 +1985-07-20 09:30:11 1985-07-19 07:27:07 Early 2010s Old Old 1985 1985-07-20 09:30:11 30 NULL 1986-07-20 +1985-11-18 16:37:54 1985-11-17 14:34:50 Early 2010s Old Old 1985 1985-11-18 16:37:54 37 NULL 1985-11-19 +1987-02-21 19:48:29 1987-02-20 17:45:25 Early 2010s Old Old 1987 1987-02-21 19:48:29 48 NULL 1987-02-22 +1987-05-28 13:52:07.900916635 1987-05-27 11:49:03.900916635 Early 2010s Old Old 1987 1987-05-28 13:52:07.900916635 52 NULL 1988-05-27 +1998-10-16 20:05:29.397591987 1998-10-15 18:02:25.397591987 Early 2010s Old Old 1998 1998-10-16 20:05:29.397591987 5 NULL 1999-10-16 +1999-10-03 16:59:10.396903939 1999-10-02 14:56:06.396903939 Early 2010s Old Old 1999 1999-10-03 16:59:10.396903939 59 NULL 1999-10-04 +2000-12-18 08:42:30.000595596 2000-12-17 06:39:26.000595596 Early 2010s Old Old 2000 2018-03-08 23:04:59 42 NULL 2000-12-19 +2002-05-10 05:29:48.990818073 2002-05-09 03:26:44.990818073 Early 2010s Early 2000s Early 2000s 2002 2018-03-08 23:04:59 29 NULL 2002-05-11 +2003-09-23 22:33:17.00003252 2003-09-22 20:30:13.00003252 Early 2010s Early 2000s Early 2000s 2003 2018-03-08 23:04:59 33 NULL 2004-09-22 +2004-03-07 20:14:13 2004-03-06 18:11:09 Early 2010s Early 2000s Early 2000s 2004 2018-03-08 23:04:59 14 NULL 2004-03-08 +2007-02-09 05:17:29.368756876 2007-02-08 03:14:25.368756876 Late 2000s Late 2000s Late 2000s 2007 2018-03-08 23:04:59 17 NULL 2008-02-09 +2009-01-21 10:49:07.108 2009-01-20 08:46:03.108 Late 2000s Late 2000s Late 2000s 2009 2018-03-08 23:04:59 49 NULL 2009-01-22 +2010-04-08 02:43:35.861742727 2010-04-07 00:40:31.861742727 Late 2000s Late 2000s Late 2000s 2010 2018-03-08 23:04:59 43 NULL 2010-04-09 +2013-04-07 02:44:43.00086821 2013-04-06 00:41:39.00086821 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 44 NULL 2013-04-08 +2013-04-10 00:43:46.854731546 2013-04-08 22:40:42.854731546 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 43 NULL 2013-04-11 +2021-09-24 03:18:32.413655165 2021-09-23 01:15:28.413655165 Unknown NULL NULL 2021 2018-03-08 23:04:59 NULL NULL 2021-09-25 +2024-11-11 16:42:41.101 2024-11-10 14:39:37.101 Unknown NULL NULL 2024 2018-03-08 23:04:59 42 NULL 2024-11-12 +4143-07-08 10:53:27.252802259 4143-07-07 08:50:23.252802259 Unknown NULL NULL 4143 2018-03-08 23:04:59 53 NULL 4143-07-09 +4966-12-04 09:30:55.202 4966-12-03 07:27:51.202 Unknown NULL NULL 4966 2018-03-08 23:04:59 30 NULL 4966-12-05 +5339-02-01 14:10:01.085678691 5339-01-31 12:06:57.085678691 Unknown NULL NULL 5339 2018-03-08 23:04:59 10 NULL 5340-02-01 +5344-10-04 18:40:08.165 5344-10-03 16:37:04.165 Unknown NULL NULL 5344 2018-03-08 23:04:59 40 NULL 5344-10-05 +5397-07-13 07:12:32.000896438 5397-07-12 05:09:28.000896438 Unknown NULL NULL 5397 2018-03-08 23:04:59 12 12 5397-07-14 +5966-07-09 03:30:50.597 5966-07-08 01:27:46.597 Unknown NULL NULL 5966 2018-03-08 23:04:59 30 30 5967-07-09 +6229-06-28 02:54:28.970117179 6229-06-27 00:51:24.970117179 Unknown NULL NULL 6229 2018-03-08 23:04:59 54 54 6230-06-28 +6482-04-27 12:07:38.073915413 6482-04-26 10:04:34.073915413 Unknown NULL NULL 6482 2018-03-08 23:04:59 7 7 6482-04-28 +6631-11-13 16:31:29.702202248 6631-11-12 14:28:25.702202248 Unknown NULL NULL 6631 2018-03-08 23:04:59 31 31 6631-11-14 +6705-09-28 18:27:28.000845672 6705-09-27 16:24:24.000845672 Unknown NULL NULL 6705 2018-03-08 23:04:59 27 NULL 6705-09-29 +6731-02-12 08:12:48.287783702 6731-02-11 06:09:44.287783702 Unknown NULL NULL 6731 2018-03-08 23:04:59 12 NULL 6731-02-13 +7160-12-02 06:00:24.81200852 7160-12-01 03:57:20.81200852 Unknown NULL NULL 7160 2018-03-08 23:04:59 0 NULL 7161-12-02 +7409-09-07 23:33:32.459349602 7409-09-06 21:30:28.459349602 Unknown NULL NULL 7409 2018-03-08 23:04:59 33 NULL 7409-09-08 +7503-06-23 23:14:17.486 7503-06-22 21:11:13.486 Unknown NULL NULL 7503 2018-03-08 23:04:59 14 NULL 7503-06-24 +8422-07-22 03:21:45.745036084 8422-07-21 01:18:41.745036084 Unknown NULL NULL 8422 2018-03-08 23:04:59 21 NULL 8422-07-23 +8521-01-16 20:42:05.668832388 8521-01-15 18:39:01.668832388 Unknown NULL NULL 8521 2018-03-08 23:04:59 42 NULL 8521-01-17 +9075-06-13 16:20:09.218517797 9075-06-12 14:17:05.218517797 Unknown NULL NULL 9075 2018-03-08 23:04:59 20 NULL 9075-06-14 +9209-11-11 04:08:58.223768453 9209-11-10 02:05:54.223768453 Unknown NULL NULL 9209 2018-03-08 23:04:59 8 NULL 9209-11-12 +9403-01-09 18:12:33.547 9403-01-08 16:09:29.547 Unknown NULL NULL 9403 2018-03-08 23:04:59 12 NULL 9403-01-10 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: timestamps + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:cdate:date, 1:ctimestamp1:timestamp, 2:stimestamp1:string, 3:ctimestamp2:timestamp, 4:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>] + Select Operator + expressions: ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), CASE WHEN ((ctimestamp2 <= TIMESTAMP'1800-12-31 00:00:00.0')) THEN ('1800s or Earlier') WHEN ((ctimestamp2 < TIMESTAMP'1900-01-01 00:00:00.0')) THEN ('1900s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE ('Unknown') END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ctimestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE (null) END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ct imestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN (null) ELSE (null) END (type: string), if((TIMESTAMP'1974-10-04 17:21:03.989' > ctimestamp1), year(ctimestamp1), year(ctimestamp2)) (type: int), CASE WHEN ((stimestamp1 like '%19%')) THEN (stimestamp1) ELSE (TIMESTAMP'2018-03-08 23:04:59.0') END (type: string), if((ctimestamp1 = TIMESTAMP'2021-09-24 03:18:32.413655165'), null, minute(ctimestamp1)) (type: int), if(((ctimestamp2 >= TIMESTAMP'5344-10-04 18:40:08.165') and (ctimestamp2 < TIMESTAMP'6631-11-13 16:31:29.702202248')), minute(ctimestamp1), null) (type: int), if(((UDFToDouble(ctimestamp1) % 500.0D) > 100.0D), date_add(cdate, 1), date_add(cdate, 365)) (type: date), stimestamp1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [1, 3, 10, 12, 13, 14, 11, 7, 16, 23, 2] + selectExpressions: IfExprStringScalarStringGroupColumn(col 5:boolean, val 1800s or Earliercol 9:string)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 1800-12-31 00:00:00.0) -> 5:boolean, IfExprStringScalarStringGroupColumn(col 6:boolean, val 1900scol 10:string)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 1900-01-01 00:00:00.0) -> 6:boolean, IfExprStringScalarStringGroupColumn(col 7:boolean, val Late 2000scol 9:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 7:boolean, IfExprStringScalarStringScalar(col 8:boolean, val Early 2010s, val Unknown)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2015-12-31 23:59:59.999999999) -> 8:boolean) -> 9:string) -> 10:string) -> 9:string) -> 10:string, IfExprStringScalarStringGroupColumn(col 5:boolean, val Oldcol 11:string)(children: TimestampColLessEqualTimestampScalar(col 3:t imestamp, val 2000-12-31 23:59:59.999999999) -> 5:boolean, IfExprStringScalarStringGroupColumn(col 6:boolean, val Early 2000scol 12:string)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 2006-01-01 00:00:00.0) -> 6:boolean, IfExprStringScalarStringGroupColumn(col 7:boolean, val Late 2000scol 11:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 7:boolean, IfExprColumnNull(col 8:boolean, col 9:string, null)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2015-12-31 23:59:59.999999999) -> 8:boolean, ConstantVectorExpression(val Early 2010s) -> 9:string) -> 11:string) -> 12:string) -> 11:string) -> 12:string, IfExprStringScalarStringGroupColumn(col 5:boolean, val Oldcol 11:string)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2000-12-31 23:59:59.999999999) -> 5:boolean, IfExprStringScalarStringGroupColumn(col 6:boolean, val Early 2000scol 13:st ring)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 2006-01-01 00:00:00.0) -> 6:boolean, IfExprStringScalarStringGroupColumn(col 7:boolean, val Late 2000scol 11:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 7:boolean, IfExprNullNull(null, null) -> 11:string) -> 13:string) -> 11:string) -> 13:string, IfExprLongColumnLongColumn(col 5:boolean, col 6:int, col 7:int)(children: TimestampScalarGreaterTimestampColumn(val 1974-10-04 17:21:03.989, col 1:timestamp) -> 5:boolean, VectorUDFYearTimestamp(col 1:timestamp, field YEAR) -> 6:int, VectorUDFYearTimestamp(col 3:timestamp, field YEAR) -> 7:int) -> 14:int, VectorUDFAdaptor(CASE WHEN ((stimestamp1 like '%19%')) THEN (stimestamp1) ELSE (TIMESTAMP'2018-03-08 23:04:59.0') END)(children: SelectStringColLikeStringScalar(col 2:string) -> 5:boolean) -> 11:string, IfExprNullColumn(col 5:boolean, null, col 6)(children: TimestampColEqualTimest ampScalar(col 1:timestamp, val 2021-09-24 03:18:32.413655165) -> 5:boolean, VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 6:int) -> 7:int, IfExprColumnNull(col 17:boolean, col 15:int, null)(children: ColAndCol(col 15:boolean, col 16:boolean)(children: TimestampColGreaterEqualTimestampScalar(col 3:timestamp, val 5344-10-04 18:40:08.165) -> 15:boolean, TimestampColLessTimestampScalar(col 3:timestamp, val 6631-11-13 16:31:29.702202248) -> 16:boolean) -> 17:boolean, VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 15:int) -> 16:int, IfExprLongColumnLongColumn(col 20:boolean, col 21:date, col 22:date)(children: DoubleColGreaterDoubleScalar(col 19:double, val 100.0)(children: DoubleColModuloDoubleScalar(col 18:double, val 500.0)(children: CastTimestampToDouble(col 1:timestamp) -> 18:double) -> 19:double) -> 20:boolean, VectorUDFDateAddColScalar(col 0:date, val 1) -> 21:date, VectorUDFDateAddColScalar(col 0:date, val 365) -> 22:date) -> 23:date + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: timestamp), _col10 (type: string), _col1 (type: timestamp) + sort order: +++ + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumnNums: [1, 2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumnNums: [10, 12, 13, 14, 11, 7, 16, 23] + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: int), _col8 (type: int), _col9 (type: date) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: true + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: cdate:date, ctimestamp1:timestamp, stimestamp1:string, ctimestamp2:timestamp + partitionColumnCount: 0 + scratchColumnTypeNames: [bigint, bigint, bigint, bigint, string, string, string, string, string, bigint, bigint, bigint, bigint, double, double, bigint, bigint, bigint, bigint] + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:string, KEY.reducesinkkey2:timestamp, VALUE._col0:string, VALUE._col1:string, VALUE._col2:string, VALUE._col3:int, VALUE._col4:string, VALUE._col5:int, VALUE._col6:int, VALUE._col7:date + partitionColumnCount: 0 + scratchColumnTypeNames: [] + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey2 (type: timestamp), VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: int), VALUE._col4 (type: string), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: date) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +PREHOOK: Input: default@timestamps +#### A masked pattern was here #### +POSTHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@timestamps +#### A masked pattern was here #### +ctimestamp1 ctimestamp2 ctimestamp2_description ctimestamp2_description_2 ctimestamp2_description_3 field1 field_2 field_3 field_4 field_5 +NULL NULL Unknown NULL NULL NULL 2018-03-08 23:04:59 NULL NULL NULL +0004-09-22 18:26:29.519542222 0004-09-21 16:23:25.519542222 1800s or Earlier Old Old 4 0004-09-22 18:26:29.519542222 26 NULL 0005-09-22 +0528-10-27 08:15:18.941718273 0528-10-26 06:12:14.941718273 1800s or Earlier Old Old 528 2018-03-08 23:04:59 15 NULL 0529-10-27 +1319-02-02 16:31:57.778 1319-02-01 14:28:53.778 1800s or Earlier Old Old 1319 1319-02-02 16:31:57.778 31 NULL 1320-02-02 +1404-07-23 15:32:16.059185026 1404-07-22 13:29:12.059185026 1800s or Earlier Old Old 1404 2018-03-08 23:04:59 32 NULL 1405-07-23 +1815-05-06 00:12:37.543584705 1815-05-04 22:09:33.543584705 1900s Old Old 1815 2018-03-08 23:04:59 12 NULL 1816-05-05 +1883-04-17 04:14:34.647766229 1883-04-16 02:11:30.647766229 1900s Old Old 1883 2018-03-08 23:04:59 14 NULL 1884-04-16 +1966-08-16 13:36:50.183618031 1966-08-15 11:33:46.183618031 Early 2010s Old Old 1966 1966-08-16 13:36:50.183618031 36 NULL 1967-08-16 +1973-04-17 06:30:38.596784156 1973-04-16 04:27:34.596784156 Early 2010s Old Old 1973 1973-04-17 06:30:38.596784156 30 NULL 1974-04-17 +1974-10-04 17:21:03.989 1974-10-03 15:17:59.989 Early 2010s Old Old 1974 1974-10-04 17:21:03.989 21 NULL 1974-10-05 +1976-03-03 04:54:33.000895162 1976-03-02 02:51:29.000895162 Early 2010s Old Old 1976 1976-03-03 04:54:33.000895162 54 NULL 1976-03-04 +1976-05-06 00:42:30.910786948 1976-05-04 22:39:26.910786948 Early 2010s Old Old 1976 1976-05-06 00:42:30.910786948 42 NULL 1977-05-06 +1978-08-05 14:41:05.501 1978-08-04 12:38:01.501 Early 2010s Old Old 1978 1978-08-05 14:41:05.501 41 NULL 1978-08-06 +1981-04-25 09:01:12.077192689 1981-04-24 06:58:08.077192689 Early 2010s Old Old 1981 1981-04-25 09:01:12.077192689 1 NULL 1982-04-25 +1981-11-15 23:03:10.999338387 1981-11-14 21:00:06.999338387 Early 2010s Old Old 1981 1981-11-15 23:03:10.999338387 3 NULL 1981-11-16 +1985-07-20 09:30:11 1985-07-19 07:27:07 Early 2010s Old Old 1985 1985-07-20 09:30:11 30 NULL 1986-07-20 +1985-11-18 16:37:54 1985-11-17 14:34:50 Early 2010s Old Old 1985 1985-11-18 16:37:54 37 NULL 1985-11-19 +1987-02-21 19:48:29 1987-02-20 17:45:25 Early 2010s Old Old 1987 1987-02-21 19:48:29 48 NULL 1987-02-22 +1987-05-28 13:52:07.900916635 1987-05-27 11:49:03.900916635 Early 2010s Old Old 1987 1987-05-28 13:52:07.900916635 52 NULL 1988-05-27 +1998-10-16 20:05:29.397591987 1998-10-15 18:02:25.397591987 Early 2010s Old Old 1998 1998-10-16 20:05:29.397591987 5 NULL 1999-10-16 +1999-10-03 16:59:10.396903939 1999-10-02 14:56:06.396903939 Early 2010s Old Old 1999 1999-10-03 16:59:10.396903939 59 NULL 1999-10-04 +2000-12-18 08:42:30.000595596 2000-12-17 06:39:26.000595596 Early 2010s Old Old 2000 2018-03-08 23:04:59 42 NULL 2000-12-19 +2002-05-10 05:29:48.990818073 2002-05-09 03:26:44.990818073 Early 2010s Early 2000s Early 2000s 2002 2018-03-08 23:04:59 29 NULL 2002-05-11 +2003-09-23 22:33:17.00003252 2003-09-22 20:30:13.00003252 Early 2010s Early 2000s Early 2000s 2003 2018-03-08 23:04:59 33 NULL 2004-09-22 +2004-03-07 20:14:13 2004-03-06 18:11:09 Early 2010s Early 2000s Early 2000s 2004 2018-03-08 23:04:59 14 NULL 2004-03-08 +2007-02-09 05:17:29.368756876 2007-02-08 03:14:25.368756876 Late 2000s Late 2000s Late 2000s 2007 2018-03-08 23:04:59 17 NULL 2008-02-09 +2009-01-21 10:49:07.108 2009-01-20 08:46:03.108 Late 2000s Late 2000s Late 2000s 2009 2018-03-08 23:04:59 49 NULL 2009-01-22 +2010-04-08 02:43:35.861742727 2010-04-07 00:40:31.861742727 Late 2000s Late 2000s Late 2000s 2010 2018-03-08 23:04:59 43 NULL 2010-04-09 +2013-04-07 02:44:43.00086821 2013-04-06 00:41:39.00086821 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 44 NULL 2013-04-08 +2013-04-10 00:43:46.854731546 2013-04-08 22:40:42.854731546 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 43 NULL 2013-04-11 +2021-09-24 03:18:32.413655165 2021-09-23 01:15:28.413655165 Unknown NULL NULL 2021 2018-03-08 23:04:59 NULL NULL 2021-09-25 +2024-11-11 16:42:41.101 2024-11-10 14:39:37.101 Unknown NULL NULL 2024 2018-03-08 23:04:59 42 NULL 2024-11-12 +4143-07-08 10:53:27.252802259 4143-07-07 08:50:23.252802259 Unknown NULL NULL 4143 2018-03-08 23:04:59 53 NULL 4143-07-09 +4966-12-04 09:30:55.202 4966-12-03 07:27:51.202 Unknown NULL NULL 4966 2018-03-08 23:04:59 30 NULL 4966-12-05 +5339-02-01 14:10:01.085678691 5339-01-31 12:06:57.085678691 Unknown NULL NULL 5339 2018-03-08 23:04:59 10 NULL 5340-02-01 +5344-10-04 18:40:08.165 5344-10-03 16:37:04.165 Unknown NULL NULL 5344 2018-03-08 23:04:59 40 NULL 5344-10-05 +5397-07-13 07:12:32.000896438 5397-07-12 05:09:28.000896438 Unknown NULL NULL 5397 2018-03-08 23:04:59 12 12 5397-07-14 +5966-07-09 03:30:50.597 5966-07-08 01:27:46.597 Unknown NULL NULL 5966 2018-03-08 23:04:59 30 30 5967-07-09 +6229-06-28 02:54:28.970117179 6229-06-27 00:51:24.970117179 Unknown NULL NULL 6229 2018-03-08 23:04:59 54 54 6230-06-28 +6482-04-27 12:07:38.073915413 6482-04-26 10:04:34.073915413 Unknown NULL NULL 6482 2018-03-08 23:04:59 7 7 6482-04-28 +6631-11-13 16:31:29.702202248 6631-11-12 14:28:25.702202248 Unknown NULL NULL 6631 2018-03-08 23:04:59 31 31 6631-11-14 +6705-09-28 18:27:28.000845672 6705-09-27 16:24:24.000845672 Unknown NULL NULL 6705 2018-03-08 23:04:59 27 NULL 6705-09-29 +6731-02-12 08:12:48.287783702 6731-02-11 06:09:44.287783702 Unknown NULL NULL 6731 2018-03-08 23:04:59 12 NULL 6731-02-13 +7160-12-02 06:00:24.81200852 7160-12-01 03:57:20.81200852 Unknown NULL NULL 7160 2018-03-08 23:04:59 0 NULL 7161-12-02 +7409-09-07 23:33:32.459349602 7409-09-06 21:30:28.459349602 Unknown NULL NULL 7409 2018-03-08 23:04:59 33 NULL 7409-09-08 +7503-06-23 23:14:17.486 7503-06-22 21:11:13.486 Unknown NULL NULL 7503 2018-03-08 23:04:59 14 NULL 7503-06-24 +8422-07-22 03:21:45.745036084 8422-07-21 01:18:41.745036084 Unknown NULL NULL 8422 2018-03-08 23:04:59 21 NULL 8422-07-23 +8521-01-16 20:42:05.668832388 8521-01-15 18:39:01.668832388 Unknown NULL NULL 8521 2018-03-08 23:04:59 42 NULL 8521-01-17 +9075-06-13 16:20:09.218517797 9075-06-12 14:17:05.218517797 Unknown NULL NULL 9075 2018-03-08 23:04:59 20 NULL 9075-06-14 +9209-11-11 04:08:58.223768453 9209-11-10 02:05:54.223768453 Unknown NULL NULL 9209 2018-03-08 23:04:59 8 NULL 9209-11-12 +9403-01-09 18:12:33.547 9403-01-08 16:09:29.547 Unknown NULL NULL 9403 2018-03-08 23:04:59 12 NULL 9403-01-10 +PREHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL +SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +Explain +PLAN VECTORIZATION: + enabled: true + enabledConditionsMet: [hive.vectorized.execution.enabled IS true] + +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Tez +#### A masked pattern was here #### + Edges: + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: timestamps + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + TableScan Vectorization: + native: true + vectorizationSchemaColumns: [0:cdate:date, 1:ctimestamp1:timestamp, 2:stimestamp1:string, 3:ctimestamp2:timestamp, 4:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>] + Select Operator + expressions: ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), CASE WHEN ((ctimestamp2 <= TIMESTAMP'1800-12-31 00:00:00.0')) THEN ('1800s or Earlier') WHEN ((ctimestamp2 < TIMESTAMP'1900-01-01 00:00:00.0')) THEN ('1900s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE ('Unknown') END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ctimestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN ('Early 2010s') ELSE (null) END (type: string), CASE WHEN ((ctimestamp2 <= TIMESTAMP'2000-12-31 23:59:59.999999999')) THEN ('Old') WHEN ((ct imestamp2 < TIMESTAMP'2006-01-01 00:00:00.0')) THEN ('Early 2000s') WHEN (ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') THEN ('Late 2000s') WHEN ((ctimestamp2 <= TIMESTAMP'2015-12-31 23:59:59.999999999')) THEN (null) ELSE (null) END (type: string), if((TIMESTAMP'1974-10-04 17:21:03.989' > ctimestamp1), year(ctimestamp1), year(ctimestamp2)) (type: int), CASE WHEN ((stimestamp1 like '%19%')) THEN (stimestamp1) ELSE (TIMESTAMP'2018-03-08 23:04:59.0') END (type: string), if((ctimestamp1 = TIMESTAMP'2021-09-24 03:18:32.413655165'), null, minute(ctimestamp1)) (type: int), if(((ctimestamp2 >= TIMESTAMP'5344-10-04 18:40:08.165') and (ctimestamp2 < TIMESTAMP'6631-11-13 16:31:29.702202248')), minute(ctimestamp1), null) (type: int), if(((UDFToDouble(ctimestamp1) % 500.0D) > 100.0D), date_add(cdate, 1), date_add(cdate, 365)) (type: date), stimestamp1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [1, 3, 15, 26, 36, 40, 42, 44, 46, 53, 2] + selectExpressions: IfExprColumnCondExpr(col 5:boolean, col 6:stringcol 14:string)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 1800-12-31 00:00:00.0) -> 5:boolean, ConstantVectorExpression(val 1800s or Earlier) -> 6:string, IfExprColumnCondExpr(col 7:boolean, col 8:stringcol 13:string)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 1900-01-01 00:00:00.0) -> 7:boolean, ConstantVectorExpression(val 1900s) -> 8:string, IfExprColumnCondExpr(col 9:boolean, col 10:stringcol 12:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 9:boolean, ConstantVectorExpression(val Late 2000s) -> 10:string, IfExprStringScalarStringScalar(col 11:boolean, val Early 2010s, val Unknown)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2015-12-31 23:59:59.999999999) -> 11:boolean) -> 12:string) -> 13:string) -> 14:string) -> 15:string, IfExprCo lumnCondExpr(col 11:boolean, col 16:stringcol 25:string)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2000-12-31 23:59:59.999999999) -> 11:boolean, ConstantVectorExpression(val Old) -> 16:string, IfExprColumnCondExpr(col 17:boolean, col 18:stringcol 24:string)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 2006-01-01 00:00:00.0) -> 17:boolean, ConstantVectorExpression(val Early 2000s) -> 18:string, IfExprColumnCondExpr(col 19:boolean, col 20:stringcol 23:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 19:boolean, ConstantVectorExpression(val Late 2000s) -> 20:string, IfExprColumnNull(col 21:boolean, col 22:string, null)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2015-12-31 23:59:59.999999999) -> 21:boolean, ConstantVectorExpression(val Early 2010s) -> 22:string) -> 23:string) -> 24:string) -> 25:string) -> 26:string, IfExprColumnCon dExpr(col 27:boolean, col 28:stringcol 35:string)(children: TimestampColLessEqualTimestampScalar(col 3:timestamp, val 2000-12-31 23:59:59.999999999) -> 27:boolean, ConstantVectorExpression(val Old) -> 28:string, IfExprColumnCondExpr(col 29:boolean, col 30:stringcol 34:string)(children: TimestampColLessTimestampScalar(col 3:timestamp, val 2006-01-01 00:00:00.0) -> 29:boolean, ConstantVectorExpression(val Early 2000s) -> 30:string, IfExprColumnCondExpr(col 31:boolean, col 32:stringcol 33:string)(children: VectorUDFAdaptor(ctimestamp2 BETWEEN TIMESTAMP'2006-01-01 00:00:00.0' AND TIMESTAMP'2010-12-31 23:59:59.999999999') -> 31:boolean, ConstantVectorExpression(val Late 2000s) -> 32:string, IfExprNullNull(null, null) -> 33:string) -> 34:string) -> 35:string) -> 36:string, IfExprCondExprCondExpr(col 37:boolean, col 38:intcol 39:int)(children: TimestampScalarGreaterTimestampColumn(val 1974-10-04 17:21:03.989, col 1:timestamp) -> 37:boolean, VectorUDFYearTimestamp(col 1:timestamp, field YEA R) -> 38:int, VectorUDFYearTimestamp(col 3:timestamp, field YEAR) -> 39:int) -> 40:int, VectorUDFAdaptor(CASE WHEN ((stimestamp1 like '%19%')) THEN (stimestamp1) ELSE (TIMESTAMP'2018-03-08 23:04:59.0') END)(children: SelectStringColLikeStringScalar(col 2:string) -> 41:boolean) -> 42:string, IfExprNullCondExpr(col 41:boolean, null, col 43:int)(children: TimestampColEqualTimestampScalar(col 1:timestamp, val 2021-09-24 03:18:32.413655165) -> 41:boolean, VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 43:int) -> 44:int, IfExprCondExprNull(col 47:boolean, col 45:int, null)(children: ColAndCol(col 45:boolean, col 46:boolean)(children: TimestampColGreaterEqualTimestampScalar(col 3:timestamp, val 5344-10-04 18:40:08.165) -> 45:boolean, TimestampColLessTimestampScalar(col 3:timestamp, val 6631-11-13 16:31:29.702202248) -> 46:boolean) -> 47:boolean, VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 45:int) -> 46:int, IfExprCondExprCondExpr(col 50:boolean, col 51:datecol 52 :date)(children: DoubleColGreaterDoubleScalar(col 49:double, val 100.0)(children: DoubleColModuloDoubleScalar(col 48:double, val 500.0)(children: CastTimestampToDouble(col 1:timestamp) -> 48:double) -> 49:double) -> 50:boolean, VectorUDFDateAddColScalar(col 0:date, val 1) -> 51:date, VectorUDFDateAddColScalar(col 0:date, val 365) -> 52:date) -> 53:date + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: timestamp), _col10 (type: string), _col1 (type: timestamp) + sort order: +++ + Reduce Sink Vectorization: + className: VectorReduceSinkObjectHashOperator + keyColumnNums: [1, 2, 3] + native: true + nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true + valueColumnNums: [15, 26, 36, 40, 42, 44, 46, 53] + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int), _col6 (type: string), _col7 (type: int), _col8 (type: int), _col9 (type: date) + Execution mode: vectorized, llap + LLAP IO: all inputs + Map Vectorization: + enabled: true + enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true + inputFormatFeatureSupport: [] + featureSupportInUse: [] + inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat + allNative: true + usesVectorUDFAdaptor: true + vectorized: true + rowBatchContext: + dataColumnCount: 4 + includeColumns: [0, 1, 2, 3] + dataColumns: cdate:date, ctimestamp1:timestamp, stimestamp1:string, ctimestamp2:timestamp + partitionColumnCount: 0 + scratchColumnTypeNames: [bigint, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, bigint, bigint, bigint, bigint, string, bigint, bigint, bigint, bigint, bigint, double, double, bigint, bigint, bigint, bigint] + Reducer 2 + Execution mode: vectorized, llap + Reduce Vectorization: + enabled: true + enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true + reduceColumnNullOrder: aaa + reduceColumnSortOrder: +++ + allNative: false + usesVectorUDFAdaptor: false + vectorized: true + rowBatchContext: + dataColumnCount: 11 + dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:string, KEY.reducesinkkey2:timestamp, VALUE._col0:string, VALUE._col1:string, VALUE._col2:string, VALUE._col3:int, VALUE._col4:string, VALUE._col5:int, VALUE._col6:int, VALUE._col7:date + partitionColumnCount: 0 + scratchColumnTypeNames: [] + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey2 (type: timestamp), VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: int), VALUE._col4 (type: string), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: date) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + Select Vectorization: + className: VectorSelectOperator + native: true + projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 8, 9, 10] + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + File Sink Vectorization: + className: VectorFileSinkOperator + native: false + Statistics: Num rows: 51 Data size: 16000 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + +PREHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +PREHOOK: type: QUERY +PREHOOK: Input: default@timestamps +#### A masked pattern was here #### +POSTHOOK: query: SELECT + ctimestamp1, + ctimestamp2, + CASE + WHEN ctimestamp2 <= date '1800-12-31' THEN "1800s or Earlier" + WHEN ctimestamp2 < date '1900-01-01' THEN "1900s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE "Unknown" END AS ctimestamp2_Description, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between cast('2006-01-01 00:00:00.000' as timestamp) and cast('2010-12-31 23:59:59.999999999' as timestamp) THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN "Early 2010s" + ELSE NULL END AS ctimestamp2_Description_2, + CASE + WHEN ctimestamp2 <= timestamp '2000-12-31 23:59:59.999999999' THEN "Old" + WHEN ctimestamp2 < timestamp '2006-01-01 00:00:00.000' THEN "Early 2000s" + WHEN ctimestamp2 between timestamp '2006-01-01 00:00:00.000' and timestamp '2010-12-31 23:59:59.999999999' THEN "Late 2000s" + WHEN ctimestamp2 <= timestamp '2015-12-31 23:59:59.999999999' THEN NULL + ELSE NULL END AS ctimestamp2_Description_3, + IF(timestamp '1974-10-04 17:21:03.989' > ctimestamp1, year(ctimestamp1), year(ctimestamp2)) AS field1, + CASE WHEN stimestamp1 LIKE '%19%' + THEN stimestamp1 + ELSE timestamp '2018-03-08 23:04:59' END AS Field_2, + IF(ctimestamp1 = timestamp '2021-09-24 03:18:32.413655165' , NULL, minute(ctimestamp1)) AS Field_3, + IF(ctimestamp2 >= timestamp '5344-10-04 18:40:08.165' and ctimestamp2 < timestamp '6631-11-13 16:31:29.702202248', minute(ctimestamp1), NULL) AS Field_4, + IF(cast(ctimestamp1 as double) % 500 > 100, DATE_ADD(cdate, 1), DATE_ADD(cdate, 365)) AS Field_5 +FROM timestamps +ORDER BY ctimestamp1, stimestamp1, ctimestamp2 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@timestamps +#### A masked pattern was here #### +ctimestamp1 ctimestamp2 ctimestamp2_description ctimestamp2_description_2 ctimestamp2_description_3 field1 field_2 field_3 field_4 field_5 +NULL NULL Unknown NULL NULL NULL 2018-03-08 23:04:59 NULL NULL NULL +0004-09-22 18:26:29.519542222 0004-09-21 16:23:25.519542222 1800s or Earlier Old Old 4 0004-09-22 18:26:29.519542222 26 NULL 0005-09-22 +0528-10-27 08:15:18.941718273 0528-10-26 06:12:14.941718273 1800s or Earlier Old Old 528 2018-03-08 23:04:59 15 NULL 0529-10-27 +1319-02-02 16:31:57.778 1319-02-01 14:28:53.778 1800s or Earlier Old Old 1319 1319-02-02 16:31:57.778 31 NULL 1320-02-02 +1404-07-23 15:32:16.059185026 1404-07-22 13:29:12.059185026 1800s or Earlier Old Old 1404 2018-03-08 23:04:59 32 NULL 1405-07-23 +1815-05-06 00:12:37.543584705 1815-05-04 22:09:33.543584705 1900s Old Old 1815 2018-03-08 23:04:59 12 NULL 1816-05-05 +1883-04-17 04:14:34.647766229 1883-04-16 02:11:30.647766229 1900s Old Old 1883 2018-03-08 23:04:59 14 NULL 1884-04-16 +1966-08-16 13:36:50.183618031 1966-08-15 11:33:46.183618031 Early 2010s Old Old 1966 1966-08-16 13:36:50.183618031 36 NULL 1967-08-16 +1973-04-17 06:30:38.596784156 1973-04-16 04:27:34.596784156 Early 2010s Old Old 1973 1973-04-17 06:30:38.596784156 30 NULL 1974-04-17 +1974-10-04 17:21:03.989 1974-10-03 15:17:59.989 Early 2010s Old Old 1974 1974-10-04 17:21:03.989 21 NULL 1974-10-05 +1976-03-03 04:54:33.000895162 1976-03-02 02:51:29.000895162 Early 2010s Old Old 1976 1976-03-03 04:54:33.000895162 54 NULL 1976-03-04 +1976-05-06 00:42:30.910786948 1976-05-04 22:39:26.910786948 Early 2010s Old Old 1976 1976-05-06 00:42:30.910786948 42 NULL 1977-05-06 +1978-08-05 14:41:05.501 1978-08-04 12:38:01.501 Early 2010s Old Old 1978 1978-08-05 14:41:05.501 41 NULL 1978-08-06 +1981-04-25 09:01:12.077192689 1981-04-24 06:58:08.077192689 Early 2010s Old Old 1981 1981-04-25 09:01:12.077192689 1 NULL 1982-04-25 +1981-11-15 23:03:10.999338387 1981-11-14 21:00:06.999338387 Early 2010s Old Old 1981 1981-11-15 23:03:10.999338387 3 NULL 1981-11-16 +1985-07-20 09:30:11 1985-07-19 07:27:07 Early 2010s Old Old 1985 1985-07-20 09:30:11 30 NULL 1986-07-20 +1985-11-18 16:37:54 1985-11-17 14:34:50 Early 2010s Old Old 1985 1985-11-18 16:37:54 37 NULL 1985-11-19 +1987-02-21 19:48:29 1987-02-20 17:45:25 Early 2010s Old Old 1987 1987-02-21 19:48:29 48 NULL 1987-02-22 +1987-05-28 13:52:07.900916635 1987-05-27 11:49:03.900916635 Early 2010s Old Old 1987 1987-05-28 13:52:07.900916635 52 NULL 1988-05-27 +1998-10-16 20:05:29.397591987 1998-10-15 18:02:25.397591987 Early 2010s Old Old 1998 1998-10-16 20:05:29.397591987 5 NULL 1999-10-16 +1999-10-03 16:59:10.396903939 1999-10-02 14:56:06.396903939 Early 2010s Old Old 1999 1999-10-03 16:59:10.396903939 59 NULL 1999-10-04 +2000-12-18 08:42:30.000595596 2000-12-17 06:39:26.000595596 Early 2010s Old Old 2000 2018-03-08 23:04:59 42 NULL 2000-12-19 +2002-05-10 05:29:48.990818073 2002-05-09 03:26:44.990818073 Early 2010s Early 2000s Early 2000s 2002 2018-03-08 23:04:59 29 NULL 2002-05-11 +2003-09-23 22:33:17.00003252 2003-09-22 20:30:13.00003252 Early 2010s Early 2000s Early 2000s 2003 2018-03-08 23:04:59 33 NULL 2004-09-22 +2004-03-07 20:14:13 2004-03-06 18:11:09 Early 2010s Early 2000s Early 2000s 2004 2018-03-08 23:04:59 14 NULL 2004-03-08 +2007-02-09 05:17:29.368756876 2007-02-08 03:14:25.368756876 Late 2000s Late 2000s Late 2000s 2007 2018-03-08 23:04:59 17 NULL 2008-02-09 +2009-01-21 10:49:07.108 2009-01-20 08:46:03.108 Late 2000s Late 2000s Late 2000s 2009 2018-03-08 23:04:59 49 NULL 2009-01-22 +2010-04-08 02:43:35.861742727 2010-04-07 00:40:31.861742727 Late 2000s Late 2000s Late 2000s 2010 2018-03-08 23:04:59 43 NULL 2010-04-09 +2013-04-07 02:44:43.00086821 2013-04-06 00:41:39.00086821 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 44 NULL 2013-04-08 +2013-04-10 00:43:46.854731546 2013-04-08 22:40:42.854731546 Early 2010s Early 2010s NULL 2013 2018-03-08 23:04:59 43 NULL 2013-04-11 +2021-09-24 03:18:32.413655165 2021-09-23 01:15:28.413655165 Unknown NULL NULL 2021 2018-03-08 23:04:59 NULL NULL 2021-09-25 +2024-11-11 16:42:41.101 2024-11-10 14:39:37.101 Unknown NULL NULL 2024 2018-03-08 23:04:59 42 NULL 2024-11-12 +4143-07-08 10:53:27.252802259 4143-07-07 08:50:23.252802259 Unknown NULL NULL 4143 2018-03-08 23:04:59 53 NULL 4143-07-09 +4966-12-04 09:30:55.202 4966-12-03 07:27:51.202 Unknown NULL NULL 4966 2018-03-08 23:04:59 30 NULL 4966-12-05 +5339-02-01 14:10:01.085678691 5339-01-31 12:06:57.085678691 Unknown NULL NULL 5339 2018-03-08 23:04:59 10 NULL 5340-02-01 +5344-10-04 18:40:08.165 5344-10-03 16:37:04.165 Unknown NULL NULL 5344 2018-03-08 23:04:59 40 NULL 5344-10-05 +5397-07-13 07:12:32.000896438 5397-07-12 05:09:28.000896438 Unknown NULL NULL 5397 2018-03-08 23:04:59 12 12 5397-07-14 +5966-07-09 03:30:50.597 5966-07-08 01:27:46.597 Unknown NULL NULL 5966 2018-03-08 23:04:59 30 30 5967-07-09 +6229-06-28 02:54:28.970117179 6229-06-27 00:51:24.970117179 Unknown NULL NULL 6229 2018-03-08 23:04:59 54 54 6230-06-28 +6482-04-27 12:07:38.073915413 6482-04-26 10:04:34.073915413 Unknown NULL NULL 6482 2018-03-08 23:04:59 7 7 6482-04-28 +6631-11-13 16:31:29.702202248 6631-11-12 14:28:25.702202248 Unknown NULL NULL 6631 2018-03-08 23:04:59 31 31 6631-11-14 +6705-09-28 18:27:28.000845672 6705-09-27 16:24:24.000845672 Unknown NULL NULL 6705 2018-03-08 23:04:59 27 NULL 6705-09-29 +6731-02-12 08:12:48.287783702 6731-02-11 06:09:44.287783702 Unknown NULL NULL 6731 2018-03-08 23:04:59 12 NULL 6731-02-13 +7160-12-02 06:00:24.81200852 7160-12-01 03:57:20.81200852 Unknown NULL NULL 7160 2018-03-08 23:04:59 0 NULL 7161-12-02 +7409-09-07 23:33:32.459349602 7409-09-06 21:30:28.459349602 Unknown NULL NULL 7409 2018-03-08 23:04:59 33 NULL 7409-09-08 +7503-06-23 23:14:17.486 7503-06-22 21:11:13.486 Unknown NULL NULL 7503 2018-03-08 23:04:59 14 NULL 7503-06-24 +8422-07-22 03:21:45.745036084 8422-07-21 01:18:41.745036084 Unknown NULL NULL 8422 2018-03-08 23:04:59 21 NULL 8422-07-23 +8521-01-16 20:42:05.668832388 8521-01-15 18:39:01.668832388 Unknown NULL NULL 8521 2018-03-08 23:04:59 42 NULL 8521-01-17 +9075-06-13 16:20:09.218517797 9075-06-12 14:17:05.218517797 Unknown NULL NULL 9075 2018-03-08 23:04:59 20 NULL 9075-06-14 +9209-11-11 04:08:58.223768453 9209-11-10 02:05:54.223768453 Unknown NULL NULL 9209 2018-03-08 23:04:59 8 NULL 9209-11-12 +9403-01-09 18:12:33.547 9403-01-08 16:09:29.547 Unknown NULL NULL 9403 2018-03-08 23:04:59 12 NULL 9403-01-10
http://git-wip-us.apache.org/repos/asf/hive/blob/53980ba6/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out index e57a0da..9f9fdaf 100644 --- a/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out +++ b/ql/src/test/results/clientpositive/llap/vector_groupby_grouping_id1.q.out @@ -764,8 +764,8 @@ STAGE PLANS: Select Vectorization: className: VectorSelectOperator native: true - projectedOutputColumnNums: [0, 1, 2, 8] - selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string + projectedOutputColumnNums: [0, 1, 2, 13] + selectExpressions: IfExprColumnCondExpr(col 3:boolean, col 4:stringcol 12:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, ConstantVectorExpression(val 0) -> 4:string, IfExprColumnCondExpr(col 5:boolean, col 6:stringcol 11:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 5:boolean, ConstantVectorExpression(val 1) -> 6:string, IfExprColumnCondExpr(col 7:boolean, col 8:stringcol 10:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 7:boolean, ConstantVectorExpression(val 2) -> 8:string, IfExprStringScalarStringScalar(col 9:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 9:boolean) -> 10:string) -> 11:string) -> 12:string) -> 13:string Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false @@ -924,8 +924,8 @@ STAGE PLANS: Select Vectorization: className: VectorSelectOperator native: true - projectedOutputColumnNums: [0, 1, 2, 8] - selectExpressions: IfExprStringScalarStringGroupColumn(col 3:boolean, val 0col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, IfExprStringScalarStringGroupColumn(col 4:boolean, val 1col 8:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 4:boolean, IfExprStringScalarStringGroupColumn(col 5:boolean, val 2col 7:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 5:boolean, IfExprStringScalarStringScalar(col 6:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 6:boolean) -> 7:string) -> 8:string) -> 7:string) -> 8:string + projectedOutputColumnNums: [0, 1, 2, 13] + selectExpressions: IfExprColumnCondExpr(col 3:boolean, col 4:stringcol 12:string)(children: LongColEqualLongScalar(col 2:bigint, val 0) -> 3:boolean, ConstantVectorExpression(val 0) -> 4:string, IfExprColumnCondExpr(col 5:boolean, col 6:stringcol 11:string)(children: LongColEqualLongScalar(col 2:bigint, val 1) -> 5:boolean, ConstantVectorExpression(val 1) -> 6:string, IfExprColumnCondExpr(col 7:boolean, col 8:stringcol 10:string)(children: LongColEqualLongScalar(col 2:bigint, val 2) -> 7:boolean, ConstantVectorExpression(val 2) -> 8:string, IfExprStringScalarStringScalar(col 9:boolean, val 3, val nothing)(children: LongColEqualLongScalar(col 2:bigint, val 3) -> 9:boolean) -> 10:string) -> 11:string) -> 12:string) -> 13:string Statistics: Num rows: 12 Data size: 4416 Basic stats: COMPLETE Column stats: NONE File Output Operator compressed: false
