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https://issues.apache.org/jira/browse/YARN-4606?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16347236#comment-16347236
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Manikandan R edited comment on YARN-4606 at 1/31/18 5:31 PM:
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Thanks [~eepayne] [~sunilg] for your comments.
{quote}And when we need to know all active users in cluster (for user-limit
computation etc) we might need to use
activeUsers+activeUsersOfPendingApps.{quote}
Shouldn't we use activeUsersOfPendingApps only for user limit calculation?
Otherwise, based on the example given in the description, Won't we end up in
same situation (2+2 == 4 )? Please correct my understanding.
was (Author: [email protected]):
Thanks [~eepayne] [~sunilg] for your comments.
{quote}And when we need to know all active users in cluster (for user-limit
computation etc) we might need to use
activeUsers+activeUsersOfPendingApps.\{quote}
Shouldn't we use activeUsersOfPendingApps only for user limit calculation?
Otherwise, based on the example given in the description, Won't we end up in
same situation (2+2 == 4 )? Please correct my understanding.
> 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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