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https://issues.apache.org/jira/browse/YARN-9927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17339383#comment-17339383
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Qi Zhu edited comment on YARN-9927 at 5/6/21, 6:41 AM:
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Great review and investigation!
Thanks very much [~ebadger] [~gandras] .
I agree with you that we should do some stress test done via SLS or manually.
And the more generic way of event handling is a great improvement in YARN.
I will investigate how to use SLS to confirm the improvement.
And about the test, i will change it to test both the multi-thread and the
single one.
was (Author: zhuqi):
Great review and investigation!
Thanks very much [~ebadger] [~ebadger] .
I agree with you that we should do some stress test done via SLS or manually.
And the more generic way of event handling is a great improvement in YARN.
I will investigate how to use SLS to confirm the improvement.
And about the test, i will change it to test both the multi-thread and the
single one.
> RM multi-thread event processing mechanism
> ------------------------------------------
>
> Key: YARN-9927
> URL: https://issues.apache.org/jira/browse/YARN-9927
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: yarn
> Affects Versions: 3.0.0, 2.9.2
> Reporter: hcarrot
> Assignee: Qi Zhu
> Priority: Major
> Attachments: RM multi-thread event processing mechanism.pdf,
> YARN-9927.001.patch, YARN-9927.002.patch, YARN-9927.003.patch,
> YARN-9927.004.patch, YARN-9927.005.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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