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https://issues.apache.org/jira/browse/YARN-9437?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16817515#comment-16817515
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Hadoop QA commented on YARN-9437:
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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 6s{color}
| {color:red} YARN-9437 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-9437 |
| Console output |
https://builds.apache.org/job/PreCommit-YARN-Build/23950/console |
| Powered by | Apache Yetus 0.8.0 http://yetus.apache.org |
This message was automatically generated.
> RMNodeImpls occupy too much memory and causes RM GC to take a long time
> -----------------------------------------------------------------------
>
> Key: YARN-9437
> URL: https://issues.apache.org/jira/browse/YARN-9437
> Project: Hadoop YARN
> Issue Type: Bug
> Components: resourcemanager
> Affects Versions: 2.9.1
> Reporter: qiuliang
> Priority: Minor
> Attachments: 1.png, 2.png, 3.png
>
>
> We use hadoop-2.9.1 in our production environment with 1600+ nodes. 95.63% of
> RM memory is occupied by RMNodeImpl. Analysis of RM memory found that each
> RMNodeImpl has approximately 14M. The reason is that there is a 130,000+
> completedcontainers in each RMNodeImpl that has not been released.
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