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Posted to yarn-issues@hadoop.apache.org by "Shiwei Guo (JIRA)" <ji...@apache.org> on 2016/08/18 02:06:21 UTC

[jira] [Commented] (YARN-3933) Race condition when calling AbstractYarnScheduler.completedContainer.

    [ https://issues.apache.org/jira/browse/YARN-3933?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15425802#comment-15425802 ] 

Shiwei Guo commented on YARN-3933:
----------------------------------

Sorry, guys. I'am sorry for no reply to this issue for a long time. I currently have no bandwidth on the YARN related jobs. It's very nice to have [~sunilg] to kik in. Thanks very much!

> 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: 2.6.0, 2.7.0, 2.5.2, 2.7.1
>            Reporter: Lavkesh Lahngir
>            Assignee: Shiwei Guo
>         Attachments: YARN-3933.001.patch, YARN-3933.002.patch, YARN-3933.003.patch, YARN-3933.004.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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