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https://issues.apache.org/jira/browse/HIVE-20025?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16530216#comment-16530216
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Hive QA commented on HIVE-20025:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12929946/HIVE-20025.02.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:green}SUCCESS:{color} +1 due to 14648 tests passed
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/12329/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/12329/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-12329/
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: 12929946 - PreCommit-HIVE-Build
> Clean-up of event files created by HiveProtoLoggingHook.
> --------------------------------------------------------
>
> Key: HIVE-20025
> URL: https://issues.apache.org/jira/browse/HIVE-20025
> Project: Hive
> Issue Type: Bug
> Components: HiveServer2
> Affects Versions: 3.0.0
> Reporter: Sankar Hariappan
> Assignee: Sankar Hariappan
> Priority: Major
> Labels: Hive, hooks, pull-request-available
> Fix For: 4.0.0
>
> Attachments: HIVE-20025.01.patch, HIVE-20025.02.patch
>
>
> Currently, HiveProtoLoggingHook write event data to hdfs. The number of files
> can grow to very large numbers.
> Since the files are created under a folder with Date being a part of the
> path, hive should have a way to clean up data older than a certain configured
> time / date. This can be a job that can run with as little frequency as just
> once a day.
> This time should be set to 1 week default. There should also be a sane upper
> bound of # of files so that when a large cluster generates a lot of files
> during a spike, we don't force the cluster fall over.
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