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https://issues.apache.org/jira/browse/YARN-3933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15863093#comment-15863093
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Karthik Kambatla commented on YARN-3933:
----------------------------------------

Sorry [~guoshiwei] for not getting to this sooner and thanks 
[~miklos.szeg...@cloudera.com] for picking this up back again. 

I looked at both patches (v5 and v6); the latter looks simpler to me. The only 
downside is the extra updateRootQueueMetrics call, but that is likely best left 
for YARN-4809. +1 pending Jenkins. 


> Race condition when calling AbstractYarnScheduler.completedContainer.
> ---------------------------------------------------------------------
>
>                 Key: YARN-3933
>                 URL: https://issues.apache.org/jira/browse/YARN-3933
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: fairscheduler
>    Affects Versions: 2.7.1
>            Reporter: Lavkesh Lahngir
>            Assignee: Shiwei Guo
>              Labels: oct16-medium
>         Attachments: YARN-3933.001.patch, YARN-3933.002.patch, 
> YARN-3933.003.patch, YARN-3933.004.patch, YARN-3933.005.patch, 
> YARN-3933.006.patch
>
>
> In our cluster we are seeing available memory and cores being negative. 
> Initial inspection:
> Scenario no. 1: 
> In capacity scheduler the method allocateContainersToNode() checks if 
> there are excess reservation of containers for an application, and they are 
> no longer needed then it calls queue.completedContainer() which causes 
> resources being negative. And they were never assigned in the first place. 
> I am still looking through the code. Can somebody suggest how to simulate 
> excess containers assignments ?



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