[jira] [Commented] (YARN-4148) When killing app, RM releases app's resource before they are released by NM

["Jun Gong (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/YARN-4148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14743358#comment-14743358 ] 

Jun Gong commented on YARN-4148:
--------------------------------

I have some thoughts.

Proposal A: NM records its total resource and available resource. When launching a container, NM checks available resource and waits until there is enough resource for container. But there might be a time gap from AM's perspective, AM thinks it has launched container, however container might be waiting for its resource.

Proposal B: RM does not release app's resource until containers actually finish and NM releases the resource. It seems a little complex.

I prefer proposal A. Any suggestion or feedback is greatly appreciated.

> When killing app, RM releases app's resource before they are released by NM
> ---------------------------------------------------------------------------
>
>                 Key: YARN-4148
>                 URL: https://issues.apache.org/jira/browse/YARN-4148
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>            Reporter: Jun Gong
>            Assignee: Jun Gong
>
> When killing a app, RM scheduler releases app's resource as soon as possible, then it might allocate these resource for new requests. But NM have not released them at that time.
> The problem was found when we supported GPU as a resource(YARN-4122).  Test environment: a NM had 6 GPUs, app A used all 6 GPUs, app B was requesting 3 GPUs. Killed app A, then RM released A's 6 GPUs, and allocated 3 GPUs to B. But when B tried to start container on NM, NM found it didn't have 3 GPUs to allocate because it had not released A's GPUs.
> I think the problem also exists for CPU/Memory. It might cause OOM when memory is overused.



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