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https://issues.apache.org/jira/browse/YARN-4236?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15900413#comment-15900413
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Hadoop QA commented on YARN-4236:
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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-4236 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-4236 |
| JIRA Patch URL | 
https://issues.apache.org/jira/secure/attachment/12770399/YARN-4236.2.patch |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/15199/console |
| Powered by | Apache Yetus 0.5.0-SNAPSHOT   http://yetus.apache.org |


This message was automatically generated.



> Metric for aggregated resources allocation per queue
> ----------------------------------------------------
>
>                 Key: YARN-4236
>                 URL: https://issues.apache.org/jira/browse/YARN-4236
>             Project: Hadoop YARN
>          Issue Type: Improvement
>          Components: metrics, scheduler
>            Reporter: Chang Li
>            Assignee: Chang Li
>              Labels: oct16-medium
>         Attachments: YARN-4236.2.patch, YARN-4236.patch
>
>
> We currently track allocated memory and allocated vcores per queue but we 
> don't have a good rate metric on how fast we're allocating these things. In 
> other words, a straight line in allocatedmb could equally be one extreme of 
> no new containers are being allocated or allocating a bunch of containers 
> where we free exactly what we allocate each time. Adding a resources 
> allocated per second per queue would give us a better insight into the rate 
> of resource churn on a queue. Based on this aggregated resource allocation 
> per queue we can easily have some tools to measure the rate of resource 
> allocation per queue.



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