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From "Sunil G (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-3933) Race condition when calling AbstractYarnScheduler.completedContainer.
Date Mon, 27 Jun 2016 08:41:52 GMT

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

Sunil G updated YARN-3933:
--------------------------
    Attachment: YARN-3933.004.patch

Hi [~guoshiwei]
I tried to update your patch with minor changes as we discussed earlier in this JIRA. I have
not merged or moved this to a common code to share b/w Fair and CS yet. If this is fine, we
can do that.

> 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: Sunil G
>         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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