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Posted to yarn-issues@hadoop.apache.org by "Mayank Bansal (JIRA)" <ji...@apache.org> on 2015/01/06 23:15:35 UTC

[jira] [Updated] (YARN-2933) Capacity Scheduler preemption policy should only consider capacity without labels temporarily

     [ https://issues.apache.org/jira/browse/YARN-2933?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Mayank Bansal updated YARN-2933:
--------------------------------
    Attachment: YARN-2933-4.patch

Thanks [~wangda] for review.

I updated the patch based on the comments.

Thanks,
Mayank

> Capacity Scheduler preemption policy should only consider capacity without labels temporarily
> ---------------------------------------------------------------------------------------------
>
>                 Key: YARN-2933
>                 URL: https://issues.apache.org/jira/browse/YARN-2933
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: capacityscheduler
>            Reporter: Wangda Tan
>            Assignee: Mayank Bansal
>         Attachments: YARN-2933-1.patch, YARN-2933-2.patch, YARN-2933-3.patch, YARN-2933-4.patch
>
>
> Currently, we have capacity enforcement on each queue for each label in CapacityScheduler, but we don't have preemption policy to support that. YARN-2498 is targeting to support preemption respect node labels, but we have some gaps in code base, like queues/FiCaScheduler should be able to get usedResource/pendingResource, etc. by label. These items potentially need to refactor CS which we need spend some time carefully think about.
> For now, what immediately we can do is allow calculate ideal_allocation and preempt containers only for resources on nodes without labels, to avoid regression like: A cluster has some nodes with labels and some not, assume queueA isn't satisfied for resource without label, but for now, preemption policy may preempt resource from nodes with labels for queueA, that is not correct.
> Again, it is just a short-term enhancement, YARN-2498 will consider preemption respecting node-labels for Capacity Scheduler which is our final target. 



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