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Hive QA commented on HIVE-15237: -------------------------------- Here are the results of testing the latest attachment: https://issues.apache.org/jira/secure/attachment/12840195/HIVE-15237.2.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), 10732 tests executed *Failed tests:* {noformat} org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[transform_ppr2] (batchId=133) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[join_acid_non_acid] (batchId=150) org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[union_fast_stats] (batchId=145) org.apache.hive.spark.client.TestSparkClient.testJobSubmission (batchId=272) {noformat} Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/2253/testReport Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/2253/console Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-2253/ 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: 12840195 - PreCommit-HIVE-Build > Propagate Spark job failure to Hive > ----------------------------------- > > Key: HIVE-15237 > URL: https://issues.apache.org/jira/browse/HIVE-15237 > Project: Hive > Issue Type: Bug > Components: Spark > Affects Versions: 2.1.0 > Reporter: Xuefu Zhang > Assignee: Rui Li > Attachments: HIVE-15237.2.patch, HIVE-15237.2.patch, HIVE-15237.patch > > > If a Spark job failed for some reason, Hive doesn't get any additional error > message, which makes it very hard for user to figure out why. Here is an > example: > {code} > Status: Running (Hive on Spark job[0]) > Job Progress Format > CurrentTime StageId_StageAttemptId: > SucceededTasksCount(+RunningTasksCount-FailedTasksCount)/TotalTasksCount > [StageCost] > 2016-11-17 21:32:53,134 Stage-0_0: 0/23 Stage-1_0: 0/28 > 2016-11-17 21:32:55,156 Stage-0_0: 0(+1)/23 Stage-1_0: 0/28 > 2016-11-17 21:32:57,167 Stage-0_0: 0(+3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:00,216 Stage-0_0: 0(+3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:03,251 Stage-0_0: 0(+3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:06,286 Stage-0_0: 0(+4)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:09,308 Stage-0_0: 0(+2,-3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:12,332 Stage-0_0: 0(+2,-3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:13,338 Stage-0_0: 0(+21,-3)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:15,349 Stage-0_0: 0(+21,-5)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:16,358 Stage-0_0: 0(+18,-8)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:19,373 Stage-0_0: 0(+21,-8)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:22,400 Stage-0_0: 0(+18,-14)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:23,404 Stage-0_0: 0(+15,-20)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:24,408 Stage-0_0: 0(+12,-23)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:25,417 Stage-0_0: 0(+9,-26)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:26,420 Stage-0_0: 0(+12,-26)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:28,427 Stage-0_0: 0(+9,-29)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:29,432 Stage-0_0: 0(+12,-29)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:31,444 Stage-0_0: 0(+18,-29)/23 Stage-1_0: 0/28 > 2016-11-17 21:33:34,464 Stage-0_0: 0(+18,-29)/23 Stage-1_0: 0/28 > Status: Failed > FAILED: Execution Error, return code 3 from > org.apache.hadoop.hive.ql.exec.spark.SparkTask > {code} > It would be better if we can propagate Spark error to Hive. -- This message was sent by Atlassian JIRA (v6.3.4#6332)