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https://issues.apache.org/jira/browse/YARN-685?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13704116#comment-13704116
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Devaraj K commented on YARN-685:
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We can reproduce this. In a cluster having multiple NM's, Submit a Job(any Job)
having some number of reducers whose total memory(i.e resources) required to
complete the reducers is less than available memory(i.e resources) in the
cluster. These reducers are not distributing across the cluster, instead they
are getting assigned to only few nodes.
> Capacity Scheduler is not distributing the reducers tasks across the cluster
> ----------------------------------------------------------------------------
>
> Key: YARN-685
> URL: https://issues.apache.org/jira/browse/YARN-685
> Project: Hadoop YARN
> Issue Type: Bug
> Components: capacityscheduler
> Affects Versions: 2.0.4-alpha
> Reporter: Devaraj K
>
> If we have reducers whose total memory required to complete is less than the
> total cluster memory, it is not assigning the reducers to all the nodes
> uniformly(~uniformly). Also at that time there are no other jobs or job tasks
> running in the cluster.
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