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From "Karthik Kambatla (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3933) Race condition when calling AbstractYarnScheduler.completedContainer.
Date Mon, 13 Feb 2017 01:04:41 GMT

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

Karthik Kambatla commented on YARN-3933:
----------------------------------------

Sorry [~guoshiwei] for not getting to this sooner and thanks [~miklos.szegedi@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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