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From "Hadoop QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-5969) FairShareComparator getResourceUsage poor performance
Date Thu, 22 Dec 2016 19:18:58 GMT

    [ https://issues.apache.org/jira/browse/YARN-5969?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15770854#comment-15770854
] 

Hadoop QA commented on YARN-5969:
---------------------------------

| (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  5s{color} | {color:red}
YARN-5969 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-5969 |
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12844359/20161222.patch
|
| Console output | https://builds.apache.org/job/PreCommit-YARN-Build/14441/console |
| Powered by | Apache Yetus 0.5.0-SNAPSHOT   http://yetus.apache.org |


This message was automatically generated.



> FairShareComparator getResourceUsage poor performance
> -----------------------------------------------------
>
>                 Key: YARN-5969
>                 URL: https://issues.apache.org/jira/browse/YARN-5969
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: fairscheduler
>    Affects Versions: 2.7.1
>            Reporter: zhangshilong
>            Assignee: zhangshilong
>         Attachments: 20161206.patch, 20161222.patch, apprunning_after.png, apprunning_before.png,
containerAllocatedDelta_before.png, containerAllocated_after.png, pending_after.png, pending_before.png
>
>
> in FairShareComparator class, the performance of function getResourceUsage()  is very
poor. It will be executed above 100,000,000 times per second.
> In our scene, It  takes 20 seconds per minute.  
> A simple solution is to reduce call counts  of the function.



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