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Hive QA commented on HIVE-8943: ------------------------------- {color:red}Overall{color}: -1 at least one tests failed Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12683954/HIVE-8943.3-spark.patch {color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 7179 tests executed *Failed tests:* {noformat} TestHS2ImpersonationWithRemoteMS - did not produce a TEST-*.xml file org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_bucketmapjoin7 org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/454/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/454/console Test logs: http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-454/ Messages: {noformat} 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: 12683954 - PreCommit-HIVE-SPARK-Build > Fix memory limit check for combine nested mapjoins [Spark Branch] > ----------------------------------------------------------------- > > Key: HIVE-8943 > URL: https://issues.apache.org/jira/browse/HIVE-8943 > Project: Hive > Issue Type: Sub-task > Components: Spark > Affects Versions: spark-branch > Reporter: Szehon Ho > Assignee: Szehon Ho > Attachments: HIVE-8943.1-spark.patch, HIVE-8943.1-spark.patch, > HIVE-8943.2-spark.patch, HIVE-8943.3-spark.patch > > > Its the opposite problem of what we thought in HIVE-8701. > SparkMapJoinOptimizer does combine nested mapjoins into one work due to > removal of RS for big-table. So we need to enhance the check to calculate if > all the MapJoins in that work (spark-stage) will fit into the memory, > otherwise it might overwhelm memory for that particular spark executor. -- This message was sent by Atlassian JIRA (v6.3.4#6332)