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From "Thomas Graves (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-11701) YARN - dynamic allocation and speculation active task accounting wrong
Date Wed, 02 Dec 2015 18:55:11 GMT

    [ https://issues.apache.org/jira/browse/SPARK-11701?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15036366#comment-15036366
] 

Thomas Graves commented on SPARK-11701:
---------------------------------------

this looks like a dup of SPARK-9038

> YARN - dynamic allocation and speculation active task accounting wrong
> ----------------------------------------------------------------------
>
>                 Key: SPARK-11701
>                 URL: https://issues.apache.org/jira/browse/SPARK-11701
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.5.1
>            Reporter: Thomas Graves
>            Assignee: Thomas Graves
>            Priority: Critical
>
> I am using dynamic container allocation and speculation and am seeing issues with the
active task accounting.  The Executor UI still shows active tasks on the an executor but the
job/stage is all completed.  I think its also affecting the dynamic allocation being able
to release containers because it thinks there are still tasks.
> Its easily reproduce by using spark-shell, turn on dynamic allocation, then run just
a wordcount on decent sized file and set the speculation parameters low: 
>  spark.dynamicAllocation.enabled true
>  spark.shuffle.service.enabled true
>  spark.dynamicAllocation.maxExecutors 10
>  spark.dynamicAllocation.minExecutors 2
>  spark.dynamicAllocation.initialExecutors 10
>  spark.dynamicAllocation.executorIdleTimeout 40s
> $SPARK_HOME/bin/spark-shell --conf spark.speculation=true --conf spark.speculation.multiplier=0.2
--conf spark.speculation.quantile=0.1 --master yarn --deploy-mode client  --executor-memory
4g --driver-memory 4g



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