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Hive QA commented on HIVE-17414: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12885293/HIVE-17414.5.patch {color:red}ERROR:{color} -1 due to no test(s) being added or modified. {color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 11033 tests executed *Failed tests:* {noformat} TestTxnCommandsBase - did not produce a TEST-*.xml file (likely timed out) (batchId=280) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[insert_values_orig_table_use_metadata] (batchId=61) org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] (batchId=234) org.apache.hive.jdbc.TestJdbcWithMiniHS2.testHttpRetryOnServerIdleTimeout (batchId=227) {noformat} Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/6668/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6668/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6668/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 4 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12885293 - PreCommit-HIVE-Build > HoS DPP + Vectorization generates invalid explain plan due to > CombineEquivalentWorkResolver > ------------------------------------------------------------------------------------------- > > Key: HIVE-17414 > URL: https://issues.apache.org/jira/browse/HIVE-17414 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Sahil Takiar > Assignee: liyunzhang_intel > Attachments: HIVE-17414.1.patch, HIVE-17414.2.patch, > HIVE-17414.3.patch, HIVE-17414.4.patch, HIVE-17414.5.patch, HIVE-17414.patch > > > Similar to HIVE-16948, the following query generates an invalid explain plan > when HoS DPP is enabled + vectorization: > {code:sql} > select ds from (select distinct(ds) as ds from srcpart union all select > distinct(ds) as ds from srcpart) s where s.ds in (select max(srcpart.ds) from > srcpart union all select min(srcpart.ds) from srcpart) > {code} > Explain Plan: > {code} > STAGE DEPENDENCIES: > Stage-2 is a root stage > Stage-1 depends on stages: Stage-2 > Stage-0 depends on stages: Stage-1 > STAGE PLANS: > Stage: Stage-2 > Spark > Edges: > Reducer 11 <- Map 10 (GROUP, 1) > Reducer 13 <- Map 12 (GROUP, 1) > #### A masked pattern was here #### > Vertices: > Map 10 > Map Operator Tree: > TableScan > alias: srcpart > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: ds (type: string) > outputColumnNames: ds > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > aggregations: max(ds) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > sort order: > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > value expressions: _col0 (type: string) > Execution mode: vectorized > Map 12 > Map Operator Tree: > TableScan > alias: srcpart > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: ds (type: string) > outputColumnNames: ds > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > aggregations: min(ds) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > sort order: > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > value expressions: _col0 (type: string) > Execution mode: vectorized > Reducer 11 > Execution mode: vectorized > Reduce Operator Tree: > Group By Operator > aggregations: max(VALUE._col0) > mode: mergepartial > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE > Column stats: NONE > Filter Operator > predicate: _col0 is not null (type: boolean) > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: _col0 (type: string) > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Spark Partition Pruning Sink Operator > Target column: ds (string) > partition key expr: ds > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > target work: Map 1 > Select Operator > expressions: _col0 (type: string) > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Spark Partition Pruning Sink Operator > Target column: ds (string) > partition key expr: ds > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > target work: Map 4 > Reducer 13 > Execution mode: vectorized > Reduce Operator Tree: > Group By Operator > aggregations: min(VALUE._col0) > mode: mergepartial > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE > Column stats: NONE > Filter Operator > predicate: _col0 is not null (type: boolean) > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: _col0 (type: string) > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Spark Partition Pruning Sink Operator > Target column: ds (string) > partition key expr: ds > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > target work: Map 1 > Select Operator > expressions: _col0 (type: string) > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Spark Partition Pruning Sink Operator > Target column: ds (string) > partition key expr: ds > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > target work: Map 4 > Stage: Stage-1 > Spark > Edges: > Reducer 2 <- Map 1 (GROUP, 4) > Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 4), Reducer 2 > (PARTITION-LEVEL SORT, 4), Reducer 7 (PARTITION-LEVEL SORT, 4), Reducer 9 > (PARTITION-LEVEL SORT, 4) > Reducer 7 <- Map 6 (GROUP, 1) > Reducer 9 <- Map 8 (GROUP, 1) > #### A masked pattern was here #### > Vertices: > Map 1 > Map Operator Tree: > TableScan > alias: srcpart > filterExpr: ds is not null (type: boolean) > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: ds (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string) > sort order: + > Map-reduce partition columns: _col0 (type: string) > Statistics: Num rows: 2000 Data size: 21248 Basic > stats: COMPLETE Column stats: NONE > Execution mode: vectorized > Map 6 > Map Operator Tree: > TableScan > alias: srcpart > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: ds (type: string) > outputColumnNames: ds > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > aggregations: max(ds) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > sort order: > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > value expressions: _col0 (type: string) > Execution mode: vectorized > Map 8 > Map Operator Tree: > TableScan > alias: srcpart > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Select Operator > expressions: ds (type: string) > outputColumnNames: ds > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > aggregations: min(ds) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > sort order: > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > value expressions: _col0 (type: string) > Execution mode: vectorized > Reducer 2 > Execution mode: vectorized > Reduce Operator Tree: > Group By Operator > keys: KEY._col0 (type: string) > mode: mergepartial > outputColumnNames: _col0 > Statistics: Num rows: 1000 Data size: 10624 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string) > sort order: + > Map-reduce partition columns: _col0 (type: string) > Statistics: Num rows: 2000 Data size: 21248 Basic stats: > COMPLETE Column stats: NONE > Reducer 3 > Reduce Operator Tree: > Join Operator > condition map: > Left Semi Join 0 to 1 > keys: > 0 _col0 (type: string) > 1 _col0 (type: string) > outputColumnNames: _col0 > Statistics: Num rows: 2200 Data size: 23372 Basic stats: > COMPLETE Column stats: NONE > File Output Operator > compressed: false > Statistics: Num rows: 2200 Data size: 23372 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 > Reducer 7 > Execution mode: vectorized > Reduce Operator Tree: > Group By Operator > aggregations: max(VALUE._col0) > mode: mergepartial > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE > Column stats: NONE > Filter Operator > predicate: _col0 is not null (type: boolean) > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string) > sort order: + > Map-reduce partition columns: _col0 (type: string) > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Reducer 9 > Execution mode: vectorized > Reduce Operator Tree: > Group By Operator > aggregations: min(VALUE._col0) > mode: mergepartial > outputColumnNames: _col0 > Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE > Column stats: NONE > Filter Operator > predicate: _col0 is not null (type: boolean) > Statistics: Num rows: 1 Data size: 184 Basic stats: > COMPLETE Column stats: NONE > Group By Operator > keys: _col0 (type: string) > mode: hash > outputColumnNames: _col0 > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Reduce Output Operator > key expressions: _col0 (type: string) > sort order: + > Map-reduce partition columns: _col0 (type: string) > Statistics: Num rows: 2 Data size: 368 Basic stats: > COMPLETE Column stats: NONE > Stage: Stage-0 > Fetch Operator > limit: -1 > Processor Tree: > ListSink > {code} -- This message was sent by Atlassian JIRA 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