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https://issues.apache.org/jira/browse/HIVE-8956?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14224413#comment-14224413
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Hive QA commented on HIVE-8956:
-------------------------------



{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/12683506/HIVE-8956.1-spark.patch

{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 7181 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_sample_islocalmode_hook
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_transform_acid
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/425/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/425/console
Test logs: 
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-425/

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: 3 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12683506 - PreCommit-HIVE-SPARK-Build

> Hive hangs while some error/exception happens beyond job execution[Spark 
> Branch]
> --------------------------------------------------------------------------------
>
>                 Key: HIVE-8956
>                 URL: https://issues.apache.org/jira/browse/HIVE-8956
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Chengxiang Li
>            Assignee: Rui Li
>              Labels: Spark-M3
>         Attachments: HIVE-8956.1-spark.patch
>
>
> Remote spark client communicate with remote spark context asynchronously, if 
> error/exception is throw out during job execution in remote spark context, it 
> would be wrapped and send back to remote spark client, but if error/exception 
> is throw out beyond job execution, such as job serialized failed, remote 
> spark client would never know what's going on in remote spark context, and it 
> would hangs there.
> Set a timeout in remote spark client side may not a great idea, as we are not 
> sure how long the query executed in spark cluster. we need find a way to 
> check whether job has failed(whole life cycle) in remote spark context.



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