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https://issues.apache.org/jira/browse/YARN-3933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14720963#comment-14720963
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Shiwei Guo commented on YARN-3933:
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Thanks for add me to the contributer list, so exciting! 

I have noticed Jenkins' complain and submitted a new patch in 
[YARN-4089|https://issues.apache.org/jira/browse/YARN-4089]. And unfortunately 
it still not confirm to the QA standard. I'm working on it to add a unit test 
for this issue, and will submit it to here soon.

> 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: resourcemanager
>    Affects Versions: 2.5.2
>            Reporter: Lavkesh Lahngir
>            Assignee: Shiwei Guo
>              Labels: patch
>         Attachments: patch.BUGFIX-JIRA-YARN-3933.txt
>
>
> 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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