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https://issues.apache.org/jira/browse/YARN-3849?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14623829#comment-14623829
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Hudson commented on YARN-3849:
------------------------------
SUCCESS: Integrated in Hadoop-Hdfs-trunk #2181 (See
[https://builds.apache.org/job/Hadoop-Hdfs-trunk/2181/])
YARN-3849. Too much of preemption activity causing continuos killing of
containers across queues. (Sunil G via wangda) (wangda: rev
1df39c1efc9ed26d3f1a5887c31c38c873e0b784)
*
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/monitor/capacity/TestProportionalCapacityPreemptionPolicy.java
*
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/monitor/capacity/ProportionalCapacityPreemptionPolicy.java
*
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/test/java/org/apache/hadoop/yarn/server/resourcemanager/monitor/capacity/TestProportionalCapacityPreemptionPolicyForNodePartitions.java
* hadoop-yarn-project/CHANGES.txt
> Too much of preemption activity causing continuos killing of containers
> across queues
> -------------------------------------------------------------------------------------
>
> Key: YARN-3849
> URL: https://issues.apache.org/jira/browse/YARN-3849
> Project: Hadoop YARN
> Issue Type: Bug
> Components: capacityscheduler
> Affects Versions: 2.7.0
> Reporter: Sunil G
> Assignee: Sunil G
> Priority: Critical
> Fix For: 2.8.0
>
> Attachments: 0001-YARN-3849.patch, 0002-YARN-3849.patch,
> 0003-YARN-3849.patch, 0004-YARN-3849.patch
>
>
> Two queues are used. Each queue has given a capacity of 0.5. Dominant
> Resource policy is used.
> 1. An app is submitted in QueueA which is consuming full cluster capacity
> 2. After submitting an app in QueueB, there are some demand and invoking
> preemption in QueueA
> 3. Instead of killing the excess of 0.5 guaranteed capacity, we observed that
> all containers other than AM is getting killed in QueueA
> 4. Now the app in QueueB is trying to take over cluster with the current free
> space. But there are some updated demand from the app in QueueA which lost
> its containers earlier, and preemption is kicked in QueueB now.
> Scenario in step 3 and 4 continuously happening in loop. Thus none of the
> apps are completing.
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