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Posted to yarn-issues@hadoop.apache.org by "Manikandan R (JIRA)" <ji...@apache.org> on 2018/06/15 14:27:00 UTC
[jira] [Updated] (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:all-tabpanel ]
Manikandan R updated YARN-4606:
-------------------------------
Attachment: YARN-4606.004.patch
> 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: Manikandan R
> Priority: Critical
> Attachments: YARN-4606.001.patch, YARN-4606.002.patch, YARN-4606.003.patch, YARN-4606.004.patch, YARN-4606.1.poc.patch, YARN-4606.POC.2.patch, YARN-4606.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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