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https://issues.apache.org/jira/browse/MAPREDUCE-3946?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13219745#comment-13219745
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Hitesh Shah commented on MAPREDUCE-3946:
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This probably could probably be marked as a duplicate for MAPREDUCE-3796.
MR-3796 is meant to be more yarn-specific to ensure that the application
submission should fail if the AM memory request exceeds max allowed. However
this jira may still be needed if the job client does not handle app submission
failures properly.
> 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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