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https://issues.apache.org/jira/browse/YARN-3215?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15120685#comment-15120685
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Sunil G commented on YARN-3215:
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Yes [~leftnoteasy], Thanks for pointing out. Current approach will return 0 in
this initial case . I think a general safe approach (more headroom can be
assumed safe for now) is what looks suits here considering some corner
scenarios like this. With clear long term approach "by-partition headroom"
ahead, as you mentioned all this can be handled. Till then, i think its safer
to assume NO_LABEL in default case.
> Respect labels in CapacityScheduler when computing headroom
> -----------------------------------------------------------
>
> Key: YARN-3215
> URL: https://issues.apache.org/jira/browse/YARN-3215
> Project: Hadoop YARN
> Issue Type: Sub-task
> Components: capacityscheduler
> Reporter: Wangda Tan
> Assignee: Naganarasimha G R
> Attachments: YARN-3215.v1.001.patch, YARN-3215.v2.001.patch,
> YARN-3215.v2.002.patch
>
>
> In existing CapacityScheduler, when computing headroom of an application, it
> will only consider "non-labeled" nodes of this application.
> But it is possible the application is asking for labeled resources, so
> headroom-by-label (like 5G resource available under node-label=red) is
> required to get better resource allocation and avoid deadlocks such as
> MAPREDUCE-5928.
> This JIRA could involve both API changes (such as adding a
> label-to-available-resource map in AllocateResponse) and also internal
> changes in CapacityScheduler.
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