Thomas Graves created SPARK-11701:
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Summary: 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
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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