[ https://issues.apache.org/jira/browse/YARN-5731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wangda Tan updated YARN-5731:
-----------------------------
    Attachment: YARN-5731.branch-2.8.004.patch

Attached patch to branch-2.8, since branch-2.8 doesn't include the main fix, so I consolidated main fix and addendum fix to the same patch. (004)

> Preemption calculation is not accurate when reserved containers are present in queue.
> -------------------------------------------------------------------------------------
>
>                 Key: YARN-5731
>                 URL: https://issues.apache.org/jira/browse/YARN-5731
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacity scheduler
>    Affects Versions: 2.8.0
>            Reporter: Sunil G
>            Assignee: Wangda Tan
>             Fix For: 2.9.0, 3.0.0-beta1
>
>         Attachments: YARN-5731.001.patch, YARN-5731.002.patch, YARN-5731.addendum.003.patch, YARN-5731.addendum.004.patch, YARN-5731.branch-2.002.patch, YARN-5731-branch-2.8.001.patch, YARN-5731-branch-2.8.001.patch, YARN-5731.branch-2.8.004.patch
>
>
> YARN Capacity Scheduler does not kick Preemption under below scenario.
> Two queues A and B each with 50% capacity and 100% maximum capacity and user limit factor 2. Minimum Container size is 1536MB and total cluster resource is 40GB. Now submit the first job which needs 1536MB for AM and 9 task containers each 4.5GB to queue A. Job will get 8 containers total (AM 1536MB + 7 * 4.5GB = 33GB) and the cluster usage is 93.8% and the job has reserved a container of 4.5GB.
> Now when next job (1536MB for AM and 9 task containers each 4.5GB) is submitted onto queue B. The job hangs in ACCEPTED state forever and RM scheduler never kicks in Preemption. (RM UI Image 2 attached)
> Test Case:
> ./spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --queue A --executor-memory 4G --executor-cores 4 --num-executors 9 ../lib/spark-examples*.jar 1000000
> After a minute..
> ./spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --queue B --executor-memory 4G --executor-cores 4 --num-executors 9 ../lib/spark-examples*.jar 1000000
> Credit to: [~Prabhu Joseph] for bug investigation and troubleshooting.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org
For additional commands, e-mail: yarn-issues-help@hadoop.apache.org