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Posted to issues@hive.apache.org by "Hive QA (JIRA)" <ji...@apache.org> on 2018/10/15 19:55:00 UTC
[jira] [Commented] (HIVE-20737) Local SparkContext is shared
between user sessions and should be closed only when there is no active
[ https://issues.apache.org/jira/browse/HIVE-20737?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16650691#comment-16650691 ]
Hive QA commented on HIVE-20737:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12943974/HIVE-20737.7.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:green}SUCCESS:{color} +1 due to 15086 tests passed
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/14479/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/14479/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-14479/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12943974 - PreCommit-HIVE-Build
> Local SparkContext is shared between user sessions and should be closed only when there is no active
> ----------------------------------------------------------------------------------------------------
>
> Key: HIVE-20737
> URL: https://issues.apache.org/jira/browse/HIVE-20737
> Project: Hive
> Issue Type: Bug
> Components: Hive
> Reporter: Denys Kuzmenko
> Assignee: Denys Kuzmenko
> Priority: Major
> Attachments: HIVE-20737.1.patch, HIVE-20737.2.patch, HIVE-20737.5.patch, HIVE-20737.6.patch, HIVE-20737.7.patch, HIVE-20737.8.patch
>
>
> 1. Local SparkContext is shared between user sessions and should be closed only when there is no active.
> 2. Possible race condition in SparkSession.open() in case when user queries run in parallel within the same session.
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