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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. -- This message was sent by Atlassian JIRA (v6.2#6252)