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Posted to yarn-issues@hadoop.apache.org by "Naganarasimha G R (JIRA)" <ji...@apache.org> on 2016/04/02 04:47:25 UTC

[jira] [Updated] (YARN-3215) Respect labels in CapacityScheduler when computing headroom

     [ https://issues.apache.org/jira/browse/YARN-3215?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Naganarasimha G R updated YARN-3215:
------------------------------------
    Attachment: YARN-3215.v2.003.patch

Hi [~wangda],
Have rebased the patch can you please review ?

> 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, YARN-3215.v2.003.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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