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From "Daniel Templeton (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-3933) Race condition when calling AbstractYarnScheduler.completedContainer.
Date Thu, 27 Oct 2016 18:33:59 GMT

     [ https://issues.apache.org/jira/browse/YARN-3933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Daniel Templeton updated YARN-3933:
-----------------------------------
    Labels: oct16-medium  (was: )

> 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
>              Labels: oct16-medium
>         Attachments: YARN-3933.001.patch, YARN-3933.002.patch, YARN-3933.003.patch, YARN-3933.004.patch,
YARN-3933.005.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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