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Hive QA commented on HIVE-17896: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12904342/HIVE-17896.5.patch {color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified. {color:red}ERROR:{color} -1 due to 22 failed/errored test(s), 11548 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[auto_join25] (batchId=72) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[mapjoin_hook] (batchId=12) org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[ppd_join5] (batchId=35) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[bucket_map_join_tez1] (batchId=169) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[bucketsortoptimize_insert_2] (batchId=151) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[hybridgrace_hashjoin_2] (batchId=156) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[insert_values_orig_table_use_metadata] (batchId=164) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid] (batchId=168) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid_fast] (batchId=159) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[sysdb] (batchId=159) org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[bucketizedhiveinputformat] (batchId=177) org.apache.hadoop.hive.cli.TestNegativeCliDriver.testCliDriver[authorization_part] (batchId=93) org.apache.hadoop.hive.cli.TestNegativeCliDriver.testCliDriver[stats_aggregator_error_1] (batchId=93) org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[ppd_join5] (batchId=120) org.apache.hadoop.hive.cli.TestSparkPerfCliDriver.testCliDriver[query84] (batchId=247) org.apache.hadoop.hive.metastore.TestEmbeddedHiveMetaStore.testTransactionalValidation (batchId=213) org.apache.hadoop.hive.ql.exec.tez.TestWorkloadManager.testApplyPlanQpChanges (batchId=284) org.apache.hadoop.hive.ql.io.TestDruidRecordWriter.testWrite (batchId=253) org.apache.hadoop.hive.ql.parse.TestReplicationScenarios.testConstraints (batchId=225) org.apache.hive.jdbc.TestSSL.testConnectionMismatch (batchId=231) org.apache.hive.jdbc.TestSSL.testConnectionWrongCertCN (batchId=231) org.apache.hive.jdbc.TestSSL.testMetastoreConnectionWrongCertCN (batchId=231) {noformat} Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/8416/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/8416/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-8416/ Messages: {noformat} Executing org.apache.hive.ptest.execution.TestCheckPhase Executing org.apache.hive.ptest.execution.PrepPhase Executing org.apache.hive.ptest.execution.YetusPhase Executing org.apache.hive.ptest.execution.ExecutionPhase Executing org.apache.hive.ptest.execution.ReportingPhase Tests exited with: TestsFailedException: 22 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12904342 - PreCommit-HIVE-Build > TopNKey: Create a standalone vectorizable TopNKey operator > ---------------------------------------------------------- > > Key: HIVE-17896 > URL: https://issues.apache.org/jira/browse/HIVE-17896 > Project: Hive > Issue Type: New Feature > Components: Operators > Affects Versions: 3.0.0 > Reporter: Gopal V > Assignee: Teddy Choi > Attachments: HIVE-17896.1.patch, HIVE-17896.3.patch, > HIVE-17896.4.patch, HIVE-17896.5.patch > > > For TPC-DS Query27, the TopN operation is delayed by the group-by - the > group-by operator buffers up all the rows before discarding the 99% of the > rows in the TopN Hash within the ReduceSink Operator. > The RS TopN operator is very restrictive as it only supports doing the > filtering on the shuffle keys, but it is better to do this before breaking > the vectors into rows and losing the isRepeating properties. > Adding a TopN Key operator in the physical operator tree allows the following > to happen. > GBY->RS(Top=1) > can become > TNK(1)->GBY->RS(Top=1) > So that, the TopNKey can remove rows before they are buffered into the GBY > and consume memory. > Here's the equivalent implementation in Presto > https://github.com/prestodb/presto/blob/master/presto-main/src/main/java/com/facebook/presto/operator/TopNOperator.java#L35 > Adding this as a sub-feature of GroupBy prevents further optimizations if the > GBY is on keys "a,b,c" and the TopNKey is on just "a". -- This message was sent by Atlassian JIRA (v6.4.14#64029)