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Hive QA commented on HIVE-8841: ------------------------------- {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/12681292/HIVE-8841.1-spark.patch {color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 7234 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_optimize_nullscan org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver_ptf org.apache.hadoop.hive.ql.exec.spark.TestHiveKVResultCache.testResultList {noformat} Test results: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/348/testReport Console output: http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/348/console Test logs: http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-348/ 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: 5 tests failed {noformat} This message is automatically generated. ATTACHMENT ID: 12681292 - PreCommit-HIVE-SPARK-Build > Make RDD caching work for multi-insert after HIVE-8793 when map join is > involved [Spark Branch] > ----------------------------------------------------------------------------------------------- > > Key: HIVE-8841 > URL: https://issues.apache.org/jira/browse/HIVE-8841 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Xuefu Zhang > Assignee: Rui Li > Attachments: HIVE-8841.1-spark.patch > > > Splitting SparkWork now happens before MapJoinResolver. As MapJoinResolve may > further spins off a dependent SparkWork for small tables of a join, we need > to make Spark RDD caching continue work even across SparkWorks. -- This message was sent by Atlassian JIRA (v6.3.4#6332)