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From "Arun C Murthy (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-389) Infinitely assigning containers when the required resource exceeds the cluster's absolute capacity
Date Fri, 08 Feb 2013 19:31:13 GMT

    [ https://issues.apache.org/jira/browse/YARN-389?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13574756#comment-13574756
] 

Arun C Murthy commented on YARN-389:
------------------------------------

The way to fix this to cap yarn.scheduler.maximum-allocation-mb to be max(cluster-capacity,
yarn.scheduler.maximum-allocation-mb) in a dynamic manner (as nodes come up or go down).
                
> Infinitely assigning containers when the required resource exceeds the cluster's absolute
capacity
> --------------------------------------------------------------------------------------------------
>
>                 Key: YARN-389
>                 URL: https://issues.apache.org/jira/browse/YARN-389
>             Project: Hadoop YARN
>          Issue Type: Bug
>            Reporter: Zhijie Shen
>            Assignee: Zhijie Shen
>
> I've run wordcount example on branch-2 and trunk. I've set yarn.nodemanager.resource.memory-mb
to 1G and yarn.app.mapreduce.am.resource.mb to 1.5G. Therefore, resourcemanager is to assign
a 2G AM container for AM. However, the nodemanager doesn't have enough memory to assign the
container. The problem is that the assignment operation will be repeated infinitely, if the
assignment cannot be accomplished. Logs follow.

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