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From "Wangda Tan (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-2022) Preempting an Application Master container can be kept as least priority when multiple applications are marked for preemption by ProportionalCapacityPreemptionPolicy
Date Thu, 26 Jun 2014 02:12:25 GMT

    [ https://issues.apache.org/jira/browse/YARN-2022?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14044270#comment-14044270
] 

Wangda Tan commented on YARN-2022:
----------------------------------

Hi [~mayank_bansal], 
For existing CapacityScheduler implementation, each user can use at most getMaxAMResourcePerQueuePercent()
* getAbsoluteCapacity(). In your case, each user can use 10% * 10% = 1% cluster resource.
So in extreme case, if the queue has 10 users, each user have 1 application, after preemption,
all resource will be used by AM. 
I'll create a separated JIRA to discuss this. What [~sunilg] has done should be consistent
with existing CapacityScheduler behavior. Is this make sense to you?

Thanks,
Wangda

> Preempting an Application Master container can be kept as least priority when multiple
applications are marked for preemption by ProportionalCapacityPreemptionPolicy
> ---------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: YARN-2022
>                 URL: https://issues.apache.org/jira/browse/YARN-2022
>             Project: Hadoop YARN
>          Issue Type: Sub-task
>          Components: resourcemanager
>    Affects Versions: 2.4.0
>            Reporter: Sunil G
>            Assignee: Sunil G
>         Attachments: YARN-2022-DesignDraft.docx, YARN-2022.2.patch, YARN-2022.3.patch,
YARN-2022.4.patch, YARN-2022.5.patch, YARN-2022.6.patch, YARN-2022.7.patch, Yarn-2022.1.patch
>
>
> Cluster Size = 16GB [2NM's]
> Queue A Capacity = 50%
> Queue B Capacity = 50%
> Consider there are 3 applications running in Queue A which has taken the full cluster
capacity. 
> J1 = 2GB AM + 1GB * 4 Maps
> J2 = 2GB AM + 1GB * 4 Maps
> J3 = 2GB AM + 1GB * 2 Maps
> Another Job J4 is submitted in Queue B [J4 needs a 2GB AM + 1GB * 2 Maps ].
> Currently in this scenario, Jobs J3 will get killed including its AM.
> It is better if AM can be given least priority among multiple applications. In this same
scenario, map tasks from J3 and J2 can be preempted.
> Later when cluster is free, maps can be allocated to these Jobs.



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