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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/01/27 21:10:39 UTC
[jira] [Assigned] (SPARK-11701) YARN - dynamic allocation and
speculation active task accounting wrong
[ https://issues.apache.org/jira/browse/SPARK-11701?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-11701:
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Assignee: Apache Spark (was: Thomas Graves)
> 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: Apache Spark
> 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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