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https://issues.apache.org/jira/browse/YARN-9927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16967336#comment-16967336
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Hadoop QA commented on YARN-9927:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m
0s{color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 7s{color}
| {color:red} YARN-9927 does not apply to trunk. Rebase required? Wrong Branch?
See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Issue | YARN-9927 |
| JIRA Patch URL |
https://issues.apache.org/jira/secure/attachment/12984902/YARN-9927.001.patch |
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/25101/console |
| Powered by | Apache Yetus 0.8.0 http://yetus.apache.org |
This message was automatically generated.
> RM multi-thread event processing mechanism
> ------------------------------------------
>
> Key: YARN-9927
> URL: https://issues.apache.org/jira/browse/YARN-9927
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: yarn
> Affects Versions: 3.0.0, 2.9.2
> Reporter: hcarrot
> Priority: Major
> Attachments: RM multi-thread event processing mechanism.pdf,
> YARN-9927.001.patch
>
>
> Recently, we have observed serious event blocking in RM event dispatcher
> queue. After analysis of RM event monitoring data and RM event processing
> logic, we found that
> 1) environment: a cluster with thousands of nodes
> 2) RMNodeStatusEvent dominates 90% time consumption of RM event scheduler
> 3) Meanwhile, RM event processing is in a single-thread mode, and It results
> in the low headroom of RM event scheduler, thus performance of RM.
> So we proposed a RM multi-thread event processing mechanism to improve RM
> performance.
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