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https://issues.apache.org/jira/browse/HIVE-8042?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14129982#comment-14129982
 ] 

Hive QA commented on HIVE-8042:
-------------------------------



{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/12667951/HIVE-8042.3.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 6196 tests executed
*Failed tests:*
{noformat}
org.apache.hive.hcatalog.pig.TestOrcHCatLoader.testReadDataPrimitiveTypes
org.apache.hive.jdbc.miniHS2.TestHiveServer2.testConnection
{noformat}

Test results: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/739/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/739/console
Test logs: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-739/

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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12667951

> Optionally allow move tasks to run in parallel
> ----------------------------------------------
>
>                 Key: HIVE-8042
>                 URL: https://issues.apache.org/jira/browse/HIVE-8042
>             Project: Hive
>          Issue Type: Bug
>            Reporter: Gunther Hagleitner
>            Assignee: Gunther Hagleitner
>         Attachments: HIVE-8042.1.patch, HIVE-8042.2.patch, HIVE-8042.3.patch
>
>
> hive.exec.parallel allows one to run different stages of a query in parallel. 
> However that applies only to map-reduce tasks. When using large multi insert 
> queries there are many MoveTasks that are all executed in sequence on the 
> client. There's no real reason for that - they could be run in parallel as 
> well (i.e.: the stage graph captures the dependencies and knows which tasks 
> can happen in parallel).



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