You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hive.apache.org by vg...@apache.org on 2018/05/15 22:40:48 UTC
[28/50] [abbrv] hive git commit: HIVE-19384: Vectorization:
IfExprTimestamp* do not handle NULLs correctly (Matt McCline,
reviewed by Teddy Choi)
http://git-wip-us.apache.org/repos/asf/hive/blob/e2d4f347/ql/src/test/results/clientpositive/vectorized_timestamp_funcs.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/vectorized_timestamp_funcs.q.out b/ql/src/test/results/clientpositive/vectorized_timestamp_funcs.q.out
index 244aca6..01e915b 100644
--- a/ql/src/test/results/clientpositive/vectorized_timestamp_funcs.q.out
+++ b/ql/src/test/results/clientpositive/vectorized_timestamp_funcs.q.out
@@ -1,15 +1,19 @@
-PREHOOK: query: CREATE TABLE alltypesorc_string(ctimestamp1 timestamp, stimestamp1 string) STORED AS ORC
+PREHOOK: query: CREATE TABLE alltypesorc_string(cboolean1 boolean, ctimestamp1 timestamp, stimestamp1 string,
+ ctimestamp2 timestamp) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
PREHOOK: Output: default@alltypesorc_string
-POSTHOOK: query: CREATE TABLE alltypesorc_string(ctimestamp1 timestamp, stimestamp1 string) STORED AS ORC
+POSTHOOK: query: CREATE TABLE alltypesorc_string(cboolean1 boolean, ctimestamp1 timestamp, stimestamp1 string,
+ ctimestamp2 timestamp) STORED AS ORC
POSTHOOK: type: CREATETABLE
POSTHOOK: Output: database:default
POSTHOOK: Output: default@alltypesorc_string
PREHOOK: query: INSERT OVERWRITE TABLE alltypesorc_string
SELECT
+ cboolean1,
to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS toutc,
- CAST(to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS STRING) as cst
+ CAST(to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS STRING) as cst,
+ ctimestamp2
FROM alltypesorc
ORDER BY toutc, cst
LIMIT 40
@@ -18,16 +22,146 @@ PREHOOK: Input: default@alltypesorc
PREHOOK: Output: default@alltypesorc_string
POSTHOOK: query: INSERT OVERWRITE TABLE alltypesorc_string
SELECT
+ cboolean1,
to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS toutc,
- CAST(to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS STRING) as cst
+ CAST(to_utc_timestamp(ctimestamp1, 'America/Los_Angeles') AS STRING) as cst,
+ ctimestamp2
FROM alltypesorc
ORDER BY toutc, cst
LIMIT 40
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc
POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 EXPRESSION [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SIMPLE [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
POSTHOOK: Lineage: alltypesorc_string.stimestamp1 EXPRESSION [(alltypesorc)alltypesorc.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, '2021-09-24 03:18:32.4', '1978-08-05 14:41:05.501', '1999-10-03 16:59:10.396903939')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, '2021-09-24 03:18:32.4', '1978-08-05 14:41:05.501', '1999-10-03 16:59:10.396903939')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, null, '2013-04-10 00:43:46.8547315', null)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, null, '2013-04-10 00:43:46.8547315', null)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, '2021-09-24 03:18:32.4', null, null)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (false, '2021-09-24 03:18:32.4', null, null)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 EXPRESSION []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, '7160-12-02 06:00:24.81200852', '0004-09-22 18:26:29.519542222', '1966-08-16 13:36:50.183')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, '7160-12-02 06:00:24.81200852', '0004-09-22 18:26:29.519542222', '1966-08-16 13:36:50.183')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, null, '4966-12-04 09:30:55.202', null)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, null, '4966-12-04 09:30:55.202', null)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, '7160-12-02 06:00:24.81200852', null, null)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (null, '7160-12-02 06:00:24.81200852', null, null)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 EXPRESSION []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, '1985-07-20 09:30:11.0', '8521-01-16 20:42:05.668832', '1319-02-02 16:31:57.778')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, '1985-07-20 09:30:11.0', '8521-01-16 20:42:05.668832', '1319-02-02 16:31:57.778')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, null, '1883-04-17 04:14:34.64776', '2024-11-11 16:42:41.101')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, null, '1883-04-17 04:14:34.64776', '2024-11-11 16:42:41.101')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, '0528-10-27 08:15:18.941718273', null, null)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values (true, '0528-10-27 08:15:18.941718273', null, null)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 EXPRESSION []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 EXPRESSION []
+PREHOOK: query: INSERT INTO TABLE alltypesorc_string values
+ (false, '2021-09-24 03:18:32.4', '1985-11-18 16:37:54.0', '2010-04-08 02:43:35.861742727'),
+ (true, null, '1985-11-18 16:37:54.0', null),
+ (null, '2021-09-24 03:18:32.4', null, '1974-10-04 17:21:03.989')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: default@alltypesorc_string
+POSTHOOK: query: INSERT INTO TABLE alltypesorc_string values
+ (false, '2021-09-24 03:18:32.4', '1985-11-18 16:37:54.0', '2010-04-08 02:43:35.861742727'),
+ (true, null, '1985-11-18 16:37:54.0', null),
+ (null, '2021-09-24 03:18:32.4', null, '1974-10-04 17:21:03.989')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: default@alltypesorc_string
+POSTHOOK: Lineage: alltypesorc_string.cboolean1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp1 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.ctimestamp2 SCRIPT []
+POSTHOOK: Lineage: alltypesorc_string.stimestamp1 SCRIPT []
PREHOOK: query: CREATE TABLE alltypesorc_wrong(stimestamp1 string) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
@@ -72,7 +206,15 @@ PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
weekofyear(ctimestamp1),
hour(ctimestamp1),
minute(ctimestamp1),
- second(ctimestamp1)
+ second(ctimestamp1),
+ cboolean1,
+ ctimestamp1,
+ ctimestamp2,
+ if (cboolean1, ctimestamp1, timestamp '1319-02-02 16:31:57.778'),
+ if (cboolean1, timestamp '2000-12-18 08:42:30.0005', ctimestamp1),
+ if (cboolean1, ctimestamp1, ctimestamp2),
+ if (cboolean1, ctimestamp1, null),
+ if (cboolean1, null, ctimestamp2)
FROM alltypesorc_string
ORDER BY c1
PREHOOK: type: QUERY
@@ -85,7 +227,15 @@ POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
weekofyear(ctimestamp1),
hour(ctimestamp1),
minute(ctimestamp1),
- second(ctimestamp1)
+ second(ctimestamp1),
+ cboolean1,
+ ctimestamp1,
+ ctimestamp2,
+ if (cboolean1, ctimestamp1, timestamp '1319-02-02 16:31:57.778'),
+ if (cboolean1, timestamp '2000-12-18 08:42:30.0005', ctimestamp1),
+ if (cboolean1, ctimestamp1, ctimestamp2),
+ if (cboolean1, ctimestamp1, null),
+ if (cboolean1, null, ctimestamp2)
FROM alltypesorc_string
ORDER BY c1
POSTHOOK: type: QUERY
@@ -103,18 +253,18 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
- expressions: to_unix_timestamp(ctimestamp1) (type: bigint), year(ctimestamp1) (type: int), month(ctimestamp1) (type: int), day(ctimestamp1) (type: int), dayofmonth(ctimestamp1) (type: int), weekofyear(ctimestamp1) (type: int), hour(ctimestamp1) (type: int), minute(ctimestamp1) (type: int), second(ctimestamp1) (type: int)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ expressions: to_unix_timestamp(ctimestamp1) (type: bigint), year(ctimestamp1) (type: int), month(ctimestamp1) (type: int), day(ctimestamp1) (type: int), dayofmonth(ctimestamp1) (type: int), weekofyear(ctimestamp1) (type: int), hour(ctimestamp1) (type: int), minute(ctimestamp1) (type: int), second(ctimestamp1) (type: int), cboolean1 (type: boolean), ctimestamp1 (type: timestamp), ctimestamp2 (type: timestamp), if(cboolean1, ctimestamp1, TIMESTAMP'1319-02-02 16:31:57.778') (type: timestamp), if(cboolean1, TIMESTAMP'2000-12-18 08:42:30.0005', ctimestamp1) (type: timestamp), if(cboolean1, ctimestamp1, ctimestamp2) (type: timestamp), if(cboolean1, ctimestamp1, null) (type: timestamp), if(cboolean1, null, ctimestamp2) (type: timestamp)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [3, 4, 5, 6, 7, 8, 9, 10, 11]
- selectExpressions: VectorUDFUnixTimeStampTimestamp(col 0:timestamp) -> 3:bigint, VectorUDFYearTimestamp(col 0:timestamp, field YEAR) -> 4:int, VectorUDFMonthTimestamp(col 0:timestamp, field MONTH) -> 5:int, VectorUDFDayOfMonthTimestamp(col 0:timestamp, field DAY_OF_MONTH) -> 6:int, VectorUDFDayOfMonthTimestamp(col 0:timestamp, field DAY_OF_MONTH) -> 7:int, VectorUDFWeekOfYearTimestamp(col 0:timestamp, field WEEK_OF_YEAR) -> 8:int, VectorUDFHourTimestamp(col 0:timestamp, field HOUR_OF_DAY) -> 9:int, VectorUDFMinuteTimestamp(col 0:timestamp, field MINUTE) -> 10:int, VectorUDFSecondTimestamp(col 0:timestamp, field SECOND) -> 11:int
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 3, 14, 15, 16, 17, 18]
+ selectExpressions: VectorUDFUnixTimeStampTimestamp(col 1:timestamp) -> 5:bigint, VectorUDFYearTimestamp(col 1:timestamp, field YEAR) -> 6:int, VectorUDFMonthTimestamp(col 1:timestamp, field MONTH) -> 7:int, VectorUDFDayOfMonthTimestamp(col 1:timestamp, field DAY_OF_MONTH) -> 8:int, VectorUDFDayOfMonthTimestamp(col 1:timestamp, field DAY_OF_MONTH) -> 9:int, VectorUDFWeekOfYearTimestamp(col 1:timestamp, field WEEK_OF_YEAR) -> 10:int, VectorUDFHourTimestamp(col 1:timestamp, field HOUR_OF_DAY) -> 11:int, VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 12:int, VectorUDFSecondTimestamp(col 1:timestamp, field SECOND) -> 13:int, IfExprTimestampColumnScalar(col 0:boolean, col 1:timestamp, val 1319-02-02 16:31:57.778) -> 14:timestamp, IfExprTimestampScalarColumn(col 0:boolean, val 2000-12-18 08:42:30.0005, col 1:timestamp) -> 15:timestamp, IfExprTimestampColumnColumn(col 0:boolean, col 1:timestampcol 3:timestamp) -> 16:timestamp, IfExprColumnNull(col 0:boolean, co
l 1:timestamp, null)(children: col 0:boolean, col 1:timestamp) -> 17:timestamp, IfExprNullColumn(col 0:boolean, null, col 3)(children: col 0:boolean, col 3:timestamp) -> 18:timestamp
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: bigint)
sort order: +
@@ -123,8 +273,8 @@ STAGE PLANS:
native: false
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
- value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int), _col8 (type: int)
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int), _col8 (type: int), _col9 (type: boolean), _col10 (type: timestamp), _col11 (type: timestamp), _col12 (type: timestamp), _col13 (type: timestamp), _col14 (type: timestamp), _col15 (type: timestamp), _col16 (type: timestamp)
Execution mode: vectorized
Map Vectorization:
enabled: true
@@ -141,12 +291,12 @@ STAGE PLANS:
enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
Reduce Operator Tree:
Select Operator
- expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: int), VALUE._col4 (type: int), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: int)
- outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: int), VALUE._col4 (type: int), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: int), VALUE._col8 (type: boolean), VALUE._col9 (type: timestamp), VALUE._col10 (type: timestamp), VALUE._col11 (type: timestamp), VALUE._col12 (type: timestamp), VALUE._col13 (type: timestamp), VALUE._col14 (type: timestamp), VALUE._col15 (type: timestamp)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -167,7 +317,15 @@ PREHOOK: query: SELECT
weekofyear(ctimestamp1),
hour(ctimestamp1),
minute(ctimestamp1),
- second(ctimestamp1)
+ second(ctimestamp1),
+ cboolean1,
+ ctimestamp1,
+ ctimestamp2,
+ if (cboolean1, ctimestamp1, timestamp '1319-02-02 16:31:57.778'),
+ if (cboolean1, timestamp '2000-12-18 08:42:30.0005', ctimestamp1),
+ if (cboolean1, ctimestamp1, ctimestamp2),
+ if (cboolean1, ctimestamp1, null),
+ if (cboolean1, null, ctimestamp2)
FROM alltypesorc_string
ORDER BY c1
PREHOOK: type: QUERY
@@ -182,52 +340,72 @@ POSTHOOK: query: SELECT
weekofyear(ctimestamp1),
hour(ctimestamp1),
minute(ctimestamp1),
- second(ctimestamp1)
+ second(ctimestamp1),
+ cboolean1,
+ ctimestamp1,
+ ctimestamp2,
+ if (cboolean1, ctimestamp1, timestamp '1319-02-02 16:31:57.778'),
+ if (cboolean1, timestamp '2000-12-18 08:42:30.0005', ctimestamp1),
+ if (cboolean1, ctimestamp1, ctimestamp2),
+ if (cboolean1, ctimestamp1, null),
+ if (cboolean1, null, ctimestamp2)
FROM alltypesorc_string
ORDER BY c1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc_string
#### A masked pattern was here ####
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
-NULL NULL NULL NULL NULL NULL NULL NULL NULL
+-45479000681 528 10 27 27 43 8 15 18 true 0528-10-27 08:15:18.941718273 NULL 0528-10-27 08:15:18.941718273 2000-12-18 08:42:30.0005 0528-10-27 08:15:18.941718273 0528-10-27 08:15:18.941718273 NULL
+1632478712 2021 9 24 24 38 3 18 32 NULL 2021-09-24 03:18:32.4 1974-10-04 17:21:03.989 1319-02-02 16:31:57.778 2021-09-24 03:18:32.4 1974-10-04 17:21:03.989 NULL 1974-10-04 17:21:03.989
+1632478712 2021 9 24 24 38 3 18 32 false 2021-09-24 03:18:32.4 1999-10-03 16:59:10.396903939 1319-02-02 16:31:57.778 2021-09-24 03:18:32.4 1999-10-03 16:59:10.396903939 NULL 1999-10-03 16:59:10.396903939
+1632478712 2021 9 24 24 38 3 18 32 false 2021-09-24 03:18:32.4 2010-04-08 02:43:35.861742727 1319-02-02 16:31:57.778 2021-09-24 03:18:32.4 2010-04-08 02:43:35.861742727 NULL 2010-04-08 02:43:35.861742727
+1632478712 2021 9 24 24 38 3 18 32 false 2021-09-24 03:18:32.4 NULL 1319-02-02 16:31:57.778 2021-09-24 03:18:32.4 NULL NULL NULL
+163809612024 7160 12 2 2 48 6 0 24 NULL 7160-12-02 06:00:24.81200852 1966-08-16 13:36:50.183 1319-02-02 16:31:57.778 7160-12-02 06:00:24.81200852 1966-08-16 13:36:50.183 NULL 1966-08-16 13:36:50.183
+163809612024 7160 12 2 2 48 6 0 24 NULL 7160-12-02 06:00:24.81200852 NULL 1319-02-02 16:31:57.778 7160-12-02 06:00:24.81200852 NULL NULL NULL
+490725011 1985 7 20 20 29 9 30 11 true 1985-07-20 09:30:11 1319-02-02 16:31:57.778 1985-07-20 09:30:11 2000-12-18 08:42:30.0005 1985-07-20 09:30:11 1985-07-20 09:30:11 NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL 1319-02-02 16:31:57.778 NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:44.028 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:44.028 NULL 1969-12-31 15:59:44.028
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:44.809 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:44.809 NULL 1969-12-31 15:59:44.809
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:45.949 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:45.949 NULL 1969-12-31 15:59:45.949
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:50.531 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:50.531 NULL 1969-12-31 15:59:50.531
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:51.009 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:51.009 NULL 1969-12-31 15:59:51.009
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 15:59:53.761 1319-02-02 16:31:57.778 NULL 1969-12-31 15:59:53.761 NULL 1969-12-31 15:59:53.761
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:00.905 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:00.905 NULL 1969-12-31 16:00:00.905
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:03.586 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:03.586 NULL 1969-12-31 16:00:03.586
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:05.227 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:05.227 NULL 1969-12-31 16:00:05.227
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:05.535 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:05.535 NULL 1969-12-31 16:00:05.535
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:07.02 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:07.02 NULL 1969-12-31 16:00:07.02
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:07.365 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:07.365 NULL 1969-12-31 16:00:07.365
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:07.517 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:07.517 NULL 1969-12-31 16:00:07.517
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:07.767 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:07.767 NULL 1969-12-31 16:00:07.767
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:08.602 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:08.602 NULL 1969-12-31 16:00:08.602
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:09.938 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:09.938 NULL 1969-12-31 16:00:09.938
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:14.214 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:14.214 NULL 1969-12-31 16:00:14.214
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL 1969-12-31 16:00:14.783 1319-02-02 16:31:57.778 NULL 1969-12-31 16:00:14.783 NULL 1969-12-31 16:00:14.783
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL NULL 1319-02-02 16:31:57.778 NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL false NULL NULL 1319-02-02 16:31:57.778 NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:43.773 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:44.262 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:44.568 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:45.697 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:47.351 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:47.446 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:48.023 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:48.629 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:49.177 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:49.208 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:50.789 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:51.245 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:52.372 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 15:59:55.249 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:00.661 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:00.784 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:09.313 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:09.538 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:09.986 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:11.031 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 1969-12-31 16:00:11.465 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL 2024-11-11 16:42:41.101 NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL true NULL NULL NULL 2000-12-18 08:42:30.0005 NULL NULL NULL
PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
to_unix_timestamp(stimestamp1) AS c1,
year(stimestamp1),
@@ -268,7 +446,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
@@ -277,9 +455,9 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [3, 4, 5, 6, 7, 8, 9, 10, 11]
- selectExpressions: VectorUDFUnixTimeStampString(col 1:string) -> 3:bigint, VectorUDFYearString(col 1:string, fieldStart 0, fieldLength 4) -> 4:int, VectorUDFMonthString(col 1:string, fieldStart 5, fieldLength 2) -> 5:int, VectorUDFDayOfMonthString(col 1:string, fieldStart 8, fieldLength 2) -> 6:int, VectorUDFDayOfMonthString(col 1:string, fieldStart 8, fieldLength 2) -> 7:int, VectorUDFWeekOfYearString(col 1:string) -> 8:int, VectorUDFHourString(col 1:string, fieldStart 11, fieldLength 2) -> 9:int, VectorUDFMinuteString(col 1:string, fieldStart 14, fieldLength 2) -> 10:int, VectorUDFSecondString(col 1:string, fieldStart 17, fieldLength 2) -> 11:int
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [5, 6, 7, 8, 9, 10, 11, 12, 13]
+ selectExpressions: VectorUDFUnixTimeStampString(col 2:string) -> 5:bigint, VectorUDFYearString(col 2:string, fieldStart 0, fieldLength 4) -> 6:int, VectorUDFMonthString(col 2:string, fieldStart 5, fieldLength 2) -> 7:int, VectorUDFDayOfMonthString(col 2:string, fieldStart 8, fieldLength 2) -> 8:int, VectorUDFDayOfMonthString(col 2:string, fieldStart 8, fieldLength 2) -> 9:int, VectorUDFWeekOfYearString(col 2:string) -> 10:int, VectorUDFHourString(col 2:string, fieldStart 11, fieldLength 2) -> 11:int, VectorUDFMinuteString(col 2:string, fieldStart 14, fieldLength 2) -> 12:int, VectorUDFSecondString(col 2:string, fieldStart 17, fieldLength 2) -> 13:int
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: bigint)
sort order: +
@@ -288,7 +466,7 @@ STAGE PLANS:
native: false
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int), _col8 (type: int)
Execution mode: vectorized
Map Vectorization:
@@ -308,10 +486,10 @@ STAGE PLANS:
Select Operator
expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: int), VALUE._col4 (type: int), VALUE._col5 (type: int), VALUE._col6 (type: int), VALUE._col7 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -353,6 +531,18 @@ ORDER BY c1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc_string
#### A masked pattern was here ####
+-2736243926 1883 4 17 17 16 4 14 34
+-62018170411 4 9 22 22 39 18 26 29
+1365579826 2013 4 10 10 15 0 43 46
+206731024925 8521 1 16 16 3 20 42 5
+271201265 1978 8 5 5 31 14 41 5
+501208674 1985 11 18 18 47 16 37 54
+501208674 1985 11 18 18 47 16 37 54
+94573848655 4966 12 4 4 49 9 30 55
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
@@ -433,7 +623,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
@@ -442,9 +632,9 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [5, 6, 7, 8, 9, 10, 11, 12, 13]
- selectExpressions: LongColEqualLongColumn(col 3:bigint, col 4:bigint)(children: VectorUDFUnixTimeStampTimestamp(col 0:timestamp) -> 3:bigint, VectorUDFUnixTimeStampString(col 1:string) -> 4:bigint) -> 5:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFYearTimestamp(col 0:timestamp, field YEAR) -> 3:int, VectorUDFYearString(col 1:string, fieldStart 0, fieldLength 4) -> 4:int) -> 6:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFMonthTimestamp(col 0:timestamp, field MONTH) -> 3:int, VectorUDFMonthString(col 1:string, fieldStart 5, fieldLength 2) -> 4:int) -> 7:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFDayOfMonthTimestamp(col 0:timestamp, field DAY_OF_MONTH) -> 3:int, VectorUDFDayOfMonthString(col 1:string, fieldStart 8, fieldLength 2) -> 4:int) -> 8:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFDayOfMonthTimestamp(col 0:timestamp, field DAY_OF_MONTH) -> 3:int, V
ectorUDFDayOfMonthString(col 1:string, fieldStart 8, fieldLength 2) -> 4:int) -> 9:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFWeekOfYearTimestamp(col 0:timestamp, field WEEK_OF_YEAR) -> 3:int, VectorUDFWeekOfYearString(col 1:string) -> 4:int) -> 10:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFHourTimestamp(col 0:timestamp, field HOUR_OF_DAY) -> 3:int, VectorUDFHourString(col 1:string, fieldStart 11, fieldLength 2) -> 4:int) -> 11:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFMinuteTimestamp(col 0:timestamp, field MINUTE) -> 3:int, VectorUDFMinuteString(col 1:string, fieldStart 14, fieldLength 2) -> 4:int) -> 12:boolean, LongColEqualLongColumn(col 3:int, col 4:int)(children: VectorUDFSecondTimestamp(col 0:timestamp, field SECOND) -> 3:int, VectorUDFSecondString(col 1:string, fieldStart 17, fieldLength 2) -> 4:int) -> 13:boolean
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [7, 8, 9, 10, 11, 12, 13, 14, 15]
+ selectExpressions: LongColEqualLongColumn(col 5:bigint, col 6:bigint)(children: VectorUDFUnixTimeStampTimestamp(col 1:timestamp) -> 5:bigint, VectorUDFUnixTimeStampString(col 2:string) -> 6:bigint) -> 7:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFYearTimestamp(col 1:timestamp, field YEAR) -> 5:int, VectorUDFYearString(col 2:string, fieldStart 0, fieldLength 4) -> 6:int) -> 8:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFMonthTimestamp(col 1:timestamp, field MONTH) -> 5:int, VectorUDFMonthString(col 2:string, fieldStart 5, fieldLength 2) -> 6:int) -> 9:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFDayOfMonthTimestamp(col 1:timestamp, field DAY_OF_MONTH) -> 5:int, VectorUDFDayOfMonthString(col 2:string, fieldStart 8, fieldLength 2) -> 6:int) -> 10:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFDayOfMonthTimestamp(col 1:timestamp, field DAY_OF_MONTH) -> 5:int,
VectorUDFDayOfMonthString(col 2:string, fieldStart 8, fieldLength 2) -> 6:int) -> 11:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFWeekOfYearTimestamp(col 1:timestamp, field WEEK_OF_YEAR) -> 5:int, VectorUDFWeekOfYearString(col 2:string) -> 6:int) -> 12:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFHourTimestamp(col 1:timestamp, field HOUR_OF_DAY) -> 5:int, VectorUDFHourString(col 2:string, fieldStart 11, fieldLength 2) -> 6:int) -> 13:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFMinuteTimestamp(col 1:timestamp, field MINUTE) -> 5:int, VectorUDFMinuteString(col 2:string, fieldStart 14, fieldLength 2) -> 6:int) -> 14:boolean, LongColEqualLongColumn(col 5:int, col 6:int)(children: VectorUDFSecondTimestamp(col 1:timestamp, field SECOND) -> 5:int, VectorUDFSecondString(col 2:string, fieldStart 17, fieldLength 2) -> 6:int) -> 15:boolean
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: boolean)
sort order: +
@@ -453,7 +643,7 @@ STAGE PLANS:
native: false
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean), _col2 (type: boolean), _col3 (type: boolean), _col4 (type: boolean), _col5 (type: boolean), _col6 (type: boolean), _col7 (type: boolean), _col8 (type: boolean)
Execution mode: vectorized
Map Vectorization:
@@ -473,10 +663,10 @@ STAGE PLANS:
Select Operator
expressions: KEY.reducesinkkey0 (type: boolean), VALUE._col0 (type: boolean), VALUE._col1 (type: boolean), VALUE._col2 (type: boolean), VALUE._col3 (type: boolean), VALUE._col4 (type: boolean), VALUE._col5 (type: boolean), VALUE._col6 (type: boolean), VALUE._col7 (type: boolean)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
@@ -558,6 +748,18 @@ NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL NULL NULL NULL NULL NULL NULL NULL NULL
+false false false false false false false false false
+false false false false false false false false false
+false false false false false false false false false
+false false false false false false false false false
PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
to_unix_timestamp(stimestamp1) AS c1,
year(stimestamp1),
@@ -714,7 +916,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
@@ -723,12 +925,12 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [0]
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [1]
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: min(ctimestamp1), max(ctimestamp1), count(ctimestamp1), count()
Group By Vectorization:
- aggregators: VectorUDAFMinTimestamp(col 0:timestamp) -> timestamp, VectorUDAFMaxTimestamp(col 0:timestamp) -> timestamp, VectorUDAFCount(col 0:timestamp) -> bigint, VectorUDAFCountStar(*) -> bigint
+ aggregators: VectorUDAFMinTimestamp(col 1:timestamp) -> timestamp, VectorUDAFMaxTimestamp(col 1:timestamp) -> timestamp, VectorUDAFCount(col 1:timestamp) -> bigint, VectorUDAFCountStar(*) -> bigint
className: VectorGroupByOperator
groupByMode: HASH
native: false
@@ -798,7 +1000,7 @@ FROM alltypesorc_string
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc_string
#### A masked pattern was here ####
-NULL NULL 0 40
+0528-10-27 08:15:18.941718273 7160-12-02 06:00:24.81200852 8 52
PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
round(sum(ctimestamp1), 3)
FROM alltypesorc_string
@@ -821,7 +1023,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
@@ -830,12 +1032,12 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [0]
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [1]
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ctimestamp1)
Group By Vectorization:
- aggregators: VectorUDAFSumTimestamp(col 0:timestamp) -> double
+ aggregators: VectorUDAFSumTimestamp(col 1:timestamp) -> double
className: VectorGroupByOperator
groupByMode: HASH
native: false
@@ -903,7 +1105,7 @@ FROM alltypesorc_string
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc_string
#### A masked pattern was here ####
-NULL
+2.89160863229166E11
PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT
round(avg(ctimestamp1), 0),
variance(ctimestamp1) between 8.97077295279421E19 and 8.97077295279422E19,
@@ -940,7 +1142,7 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: alltypesorc_string
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
TableScan Vectorization:
native: true
Select Operator
@@ -949,13 +1151,13 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [0, 3, 6]
- selectExpressions: CastTimestampToDouble(col 0:timestamp) -> 3:double, DoubleColMultiplyDoubleColumn(col 4:double, col 5:double)(children: CastTimestampToDouble(col 0:timestamp) -> 4:double, CastTimestampToDouble(col 0:timestamp) -> 5:double) -> 6:double
- Statistics: Num rows: 40 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ projectedOutputColumnNums: [1, 5, 8]
+ selectExpressions: CastTimestampToDouble(col 1:timestamp) -> 5:double, DoubleColMultiplyDoubleColumn(col 6:double, col 7:double)(children: CastTimestampToDouble(col 1:timestamp) -> 6:double, CastTimestampToDouble(col 1:timestamp) -> 7:double) -> 8:double
+ Statistics: Num rows: 52 Data size: 3515 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col0), count(_col0), sum(_col2), sum(_col1)
Group By Vectorization:
- aggregators: VectorUDAFSumTimestamp(col 0:timestamp) -> double, VectorUDAFCount(col 0:timestamp) -> bigint, VectorUDAFSumDouble(col 6:double) -> double, VectorUDAFSumDouble(col 3:double) -> double
+ aggregators: VectorUDAFSumTimestamp(col 1:timestamp) -> double, VectorUDAFCount(col 1:timestamp) -> bigint, VectorUDAFSumDouble(col 8:double) -> double, VectorUDAFSumDouble(col 5:double) -> double
className: VectorGroupByOperator
groupByMode: HASH
native: false
@@ -1037,4 +1239,4 @@ FROM alltypesorc_string
POSTHOOK: type: QUERY
POSTHOOK: Input: default@alltypesorc_string
#### A masked pattern was here ####
-NULL NULL NULL NULL NULL NULL NULL NULL
+3.6145107904E10 false false false 7.5245155692476E10 7.5245155692476E10 7.5245155692476E10 8.0440455033059E10
http://git-wip-us.apache.org/repos/asf/hive/blob/e2d4f347/storage-api/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch.java
----------------------------------------------------------------------
diff --git a/storage-api/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch.java b/storage-api/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch.java
index bebf769..f8ed7e2 100644
--- a/storage-api/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch.java
+++ b/storage-api/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizedRowBatch.java
@@ -180,6 +180,70 @@ public class VectorizedRowBatch implements Writable {
return b.toString();
}
+ private void appendVectorType(StringBuilder b, ColumnVector cv) {
+ String colVectorType = null;
+ if (cv instanceof LongColumnVector) {
+ colVectorType = "LONG";
+ } else if (cv instanceof DoubleColumnVector) {
+ colVectorType = "DOUBLE";
+ } else if (cv instanceof BytesColumnVector) {
+ colVectorType = "BYTES";
+ } else if (cv instanceof DecimalColumnVector) {
+ colVectorType = "DECIMAL";
+ } else if (cv instanceof TimestampColumnVector) {
+ colVectorType = "TIMESTAMP";
+ } else if (cv instanceof IntervalDayTimeColumnVector) {
+ colVectorType = "INTERVAL_DAY_TIME";
+ } else if (cv instanceof ListColumnVector) {
+ colVectorType = "LIST";
+ } else if (cv instanceof MapColumnVector) {
+ colVectorType = "MAP";
+ } else if (cv instanceof StructColumnVector) {
+ colVectorType = "STRUCT";
+ } else if (cv instanceof UnionColumnVector) {
+ colVectorType = "UNION";
+ } else {
+ colVectorType = "Unknown";
+ }
+ b.append(colVectorType);
+
+ if (cv instanceof ListColumnVector) {
+ ListColumnVector listColumnVector = (ListColumnVector) cv;
+ b.append("<");
+ appendVectorType(b, listColumnVector.child);
+ b.append(">");
+ } else if (cv instanceof MapColumnVector) {
+ MapColumnVector mapColumnVector = (MapColumnVector) cv;
+ b.append("<");
+ appendVectorType(b, mapColumnVector.keys);
+ b.append(", ");
+ appendVectorType(b, mapColumnVector.values);
+ b.append(">");
+ } else if (cv instanceof StructColumnVector) {
+ StructColumnVector structColumnVector = (StructColumnVector) cv;
+ b.append("<");
+ final int fieldCount = structColumnVector.fields.length;
+ for (int i = 0; i < fieldCount; i++) {
+ if (i > 0) {
+ b.append(", ");
+ }
+ appendVectorType(b, structColumnVector.fields[i]);
+ }
+ b.append(">");
+ } else if (cv instanceof UnionColumnVector) {
+ UnionColumnVector unionColumnVector = (UnionColumnVector) cv;
+ b.append("<");
+ final int fieldCount = unionColumnVector.fields.length;
+ for (int i = 0; i < fieldCount; i++) {
+ if (i > 0) {
+ b.append(", ");
+ }
+ appendVectorType(b, unionColumnVector.fields[i]);
+ }
+ b.append(">");
+ }
+ }
+
public String stringify(String prefix) {
if (size == 0) {
return "";
@@ -195,33 +259,10 @@ public class VectorizedRowBatch implements Writable {
}
b.append(projIndex);
b.append(":");
- String colVectorType = null;
- if (cv instanceof LongColumnVector) {
- colVectorType = "LONG";
- } else if (cv instanceof DoubleColumnVector) {
- colVectorType = "DOUBLE";
- } else if (cv instanceof BytesColumnVector) {
- colVectorType = "BYTES";
- } else if (cv instanceof DecimalColumnVector) {
- colVectorType = "DECIMAL";
- } else if (cv instanceof TimestampColumnVector) {
- colVectorType = "TIMESTAMP";
- } else if (cv instanceof IntervalDayTimeColumnVector) {
- colVectorType = "INTERVAL_DAY_TIME";
- } else if (cv instanceof ListColumnVector) {
- colVectorType = "LIST";
- } else if (cv instanceof MapColumnVector) {
- colVectorType = "MAP";
- } else if (cv instanceof StructColumnVector) {
- colVectorType = "STRUCT";
- } else if (cv instanceof UnionColumnVector) {
- colVectorType = "UNION";
- } else {
- colVectorType = "Unknown";
- }
- b.append(colVectorType);
+ appendVectorType(b, cv);
}
b.append('\n');
+ b.append(prefix);
if (this.selectedInUse) {
for (int j = 0; j < size; j++) {
http://git-wip-us.apache.org/repos/asf/hive/blob/e2d4f347/storage-api/src/test/org/apache/hadoop/hive/ql/exec/vector/TestStructColumnVector.java
----------------------------------------------------------------------
diff --git a/storage-api/src/test/org/apache/hadoop/hive/ql/exec/vector/TestStructColumnVector.java b/storage-api/src/test/org/apache/hadoop/hive/ql/exec/vector/TestStructColumnVector.java
index 7bc03ed..3d9f262 100644
--- a/storage-api/src/test/org/apache/hadoop/hive/ql/exec/vector/TestStructColumnVector.java
+++ b/storage-api/src/test/org/apache/hadoop/hive/ql/exec/vector/TestStructColumnVector.java
@@ -119,7 +119,7 @@ public class TestStructColumnVector {
byte[] buffer = ("value " + r).getBytes(StandardCharsets.UTF_8);
y.setRef(r, buffer, 0, buffer.length);
}
- final String EXPECTED = ("Column vector types: 0:STRUCT, 1:BYTES\n" +
+ final String EXPECTED = ("Column vector types: 0:STRUCT<LONG, TIMESTAMP>, 1:BYTES\n" +
"[[0, 2000-01-01 00:00:01.0], \"value 0\"]\n" +
"[[3, 2000-01-01 00:00:02.0], \"value 1\"]\n" +
"[[6, 2000-01-01 00:00:03.0], \"value 2\"]\n" +
@@ -153,7 +153,7 @@ public class TestStructColumnVector {
byte[] buffer = ("value " + r).getBytes(StandardCharsets.UTF_8);
y.setRef(r, buffer, 0, buffer.length);
}
- final String EXPECTED = ("Column vector types: 0:STRUCT, 1:BYTES\n" +
+ final String EXPECTED = ("Column vector types: 0:STRUCT<LONG, TIMESTAMP>, 1:BYTES\n" +
"[[0, 2000-01-01 00:00:01], \"value 0\"]\n" +
"[[3, 2000-01-01 00:00:02], \"value 1\"]\n" +
"[[6, 2000-01-01 00:00:03], \"value 2\"]\n" +
http://git-wip-us.apache.org/repos/asf/hive/blob/e2d4f347/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
----------------------------------------------------------------------
diff --git a/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java b/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
index fbb89a9..b5220a0 100644
--- a/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
+++ b/vector-code-gen/src/org/apache/hadoop/hive/tools/GenVectorCode.java
@@ -1063,6 +1063,15 @@ public class GenVectorCode extends Task {
{"IfExprScalarScalar", "long", "double"},
{"IfExprScalarScalar", "double", "double"},
+ {"IfExprObjectColumnColumn", "timestamp"},
+ {"IfExprObjectColumnColumn", "interval_day_time"},
+ {"IfExprObjectColumnScalar", "timestamp"},
+ {"IfExprObjectColumnScalar", "interval_day_time"},
+ {"IfExprObjectScalarColumn", "timestamp"},
+ {"IfExprObjectScalarColumn", "interval_day_time"},
+ {"IfExprObjectScalarScalar", "timestamp"},
+ {"IfExprObjectScalarScalar", "interval_day_time"},
+
// template, <ClassName>, <ValueType>, <OperatorSymbol>, <DescriptionName>, <DescriptionValue>
{"VectorUDAFMinMax", "VectorUDAFMinLong", "long", "<", "min",
"_FUNC_(expr) - Returns the minimum value of expr (vectorized, type: long)"},
@@ -1385,6 +1394,12 @@ public class GenVectorCode extends Task {
generateIfExprScalarColumn(tdesc);
} else if (tdesc[0].equals("IfExprScalarScalar")) {
generateIfExprScalarScalar(tdesc);
+ } else if (
+ tdesc[0].equals("IfExprObjectColumnColumn") ||
+ tdesc[0].equals("IfExprObjectColumnScalar") ||
+ tdesc[0].equals("IfExprObjectScalarColumn") ||
+ tdesc[0].equals("IfExprObjectScalarScalar")) {
+ generateIfExprObject(tdesc);
} else if (tdesc[0].equals("FilterDecimalColumnCompareDecimalScalar")) {
generateFilterDecimalColumnCompareDecimalScalar(tdesc);
} else if (tdesc[0].equals("FilterDecimalScalarCompareDecimalColumn")) {
@@ -2259,6 +2274,46 @@ public class GenVectorCode extends Task {
className, templateString);
}
+ private void generateIfExprObject(String [] tdesc) throws Exception {
+ String typeName = tdesc[1];
+ String objectName;
+ String scalarType;
+ String scalarImport;
+ if (typeName.equals("timestamp")) {
+ objectName = "Timestamp";
+ scalarType = "Timestamp";
+ scalarImport = "java.sql.Timestamp";
+ } else if (typeName.equals("interval_day_time")) {
+ objectName = "IntervalDayTime";
+ scalarType = "HiveIntervalDayTime";
+ scalarImport = "org.apache.hadoop.hive.common.type.HiveIntervalDayTime";
+ } else {
+ objectName = "unknown";
+ scalarType = "unknown";
+ scalarImport = "unknown";
+ }
+ String classNameSuffix = tdesc[0].substring("IfExprObject".length());
+
+ String writableType = getOutputWritableType(typeName);
+ String columnVectorType = getColumnVectorType(typeName);
+
+ String className = "IfExpr" + objectName + classNameSuffix;
+
+ File templateFile = new File(joinPath(this.expressionTemplateDirectory, tdesc[0] + ".txt"));
+ String templateString = readFile(templateFile);
+
+ templateString = templateString.replaceAll("<ClassName>", className);
+ templateString = templateString.replaceAll("<ScalarType>", scalarType);
+ templateString = templateString.replaceAll("<ScalarImport>", scalarImport);
+ templateString = templateString.replaceAll("<TypeName>", typeName);
+ templateString = templateString.replaceAll("<ObjectName>", objectName);
+ templateString = templateString.replaceAll("<WritableType>", writableType);
+ templateString = templateString.replaceAll("<ColumnVectorType>", columnVectorType);
+
+ writeFile(templateFile.lastModified(), expressionOutputDirectory, expressionClassesDirectory,
+ className, templateString);
+ }
+
// template, <ClassNamePrefix>, <ReturnType>, <FuncName>
private void generateDecimalColumnUnaryFunc(String [] tdesc) throws Exception {
String classNamePrefix = tdesc[1];