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https://issues.apache.org/jira/browse/YARN-4148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14745075#comment-14745075
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Jun Gong commented on YARN-4148:
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Attach a WIP patch.
The patch implements proposal B... Its logic is more reasonable.
When completing a container, RM does not release container's resource until it
receive container's finished information from NM.
> 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
> Attachments: YARN-4148.wip.patch
>
>
> 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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