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Posted to yarn-issues@hadoop.apache.org by "Wangda Tan (JIRA)" <ji...@apache.org> on 2017/12/12 00:51:00 UTC
[jira] [Commented] (YARN-4606) CapacityScheduler: applications
could get starved because computation of #activeUsers considers pending
apps
[ https://issues.apache.org/jira/browse/YARN-4606?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16286883#comment-16286883 ]
Wangda Tan commented on YARN-4606:
----------------------------------
[~jlowe], as we discussed offline, this is a (known) potential issue of fair ordering policy. Please let me know if you have any thoughts on this.
> CapacityScheduler: applications could get starved because computation of #activeUsers considers pending apps
> -------------------------------------------------------------------------------------------------------------
>
> Key: YARN-4606
> URL: https://issues.apache.org/jira/browse/YARN-4606
> Project: Hadoop YARN
> Issue Type: Bug
> Components: capacity scheduler, capacityscheduler
> Affects Versions: 2.8.0, 2.7.1
> Reporter: Karam Singh
> Assignee: Wangda Tan
> Priority: Critical
> Attachments: YARN-4606.1.poc.patch
>
>
> Currently, if all applications belong to same user in LeafQueue are pending (caused by max-am-percent, etc.), ActiveUsersManager still considers the user is an active user. This could lead to starvation of active applications, for example:
> - App1(belongs to user1)/app2(belongs to user2) are active, app3(belongs to user3)/app4(belongs to user4) are pending
> - ActiveUsersManager returns #active-users=4
> - However, there're only two users (user1/user2) are able to allocate new resources. So computed user-limit-resource could be lower than expected.
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