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

["Hadoop QA (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/YARN-4148?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15346577#comment-15346577 ] 

Hadoop QA commented on YARN-4148:
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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m 0s {color} | {color:blue} Docker mode activated. {color} |
| {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 4s {color} | {color:red} YARN-4148 does not apply to trunk. Rebase required? Wrong Branch? See https://wiki.apache.org/hadoop/HowToContribute for help. {color} |
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|| Subsystem || Report/Notes ||
| JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/12812850/free_in_scheduler_but_not_node_prototype-branch-2.7.patch |
| JIRA Issue | YARN-4148 |
| Console output | https://builds.apache.org/job/PreCommit-YARN-Build/12119/console |
| Powered by | Apache Yetus 0.3.0   http://yetus.apache.org |


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> 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-4148.001.patch, YARN-4148.wip.patch, free_in_scheduler_but_not_node_prototype-branch-2.7.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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