You are viewing a plain text version of this content. The canonical link for it is here.
Posted to yarn-issues@hadoop.apache.org by "Qi Zhu (Jira)" <ji...@apache.org> on 2021/03/16 08:03:00 UTC

[jira] [Updated] (YARN-9927) RM multi-thread event processing mechanism

     [ https://issues.apache.org/jira/browse/YARN-9927?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Qi Zhu updated YARN-9927:
-------------------------
        Parent: YARN-10695
    Issue Type: Sub-task  (was: Improvement)

> 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
>
>
> 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.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: yarn-issues-help@hadoop.apache.org