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https://issues.apache.org/jira/browse/MAPREDUCE-3946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13219767#comment-13219767
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Vinod Kumar Vavilapalli commented on MAPREDUCE-3946:
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Ah, I forgot about that. So, yes I think this is a duplicate.
Todd, essentially, we now have a cluster level configuration for
max-resource-size which is supposed to be set by cluster admins such that all
nodes have greater than that. RM will reject apps if the AM resource
requirement is more than this. I think that should work, please close this as
duplicate if you agree too. Thanks.
> If a resource requirement is higher than available on any node, job should
> fail early
> -------------------------------------------------------------------------------------
>
> Key: MAPREDUCE-3946
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-3946
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: resourcemanager
> Affects Versions: 0.24.0, 0.23.2
> Reporter: Todd Lipcon
>
> If you configure the NMs to have 1GB of RAM each, and then try to submit a
> job which has an AM resource requirement of 1.5GB, the job will neither run
> nor fail. Instead, it will slowly sop of all of the resources in the cluster
> as "reservations" despite the fact that it will never be able to schedule
> something. Instead, it should fail early indicating that the required memory
> allocation is infeasible.
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