[jira] [Commented] (SPARK-4951) A busy executor may be killed when dynamicAllocation is enabled

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-4951?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14257986#comment-14257986 ] 

Apache Spark commented on SPARK-4951:
-------------------------------------

User 'zsxwing' has created a pull request for this issue:
https://github.com/apache/spark/pull/3783

> A busy executor may be killed when dynamicAllocation is enabled
> ---------------------------------------------------------------
>
>                 Key: SPARK-4951
>                 URL: https://issues.apache.org/jira/browse/SPARK-4951
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>            Reporter: Shixiong Zhu
>
> If a task runs more than `spark.dynamicAllocation.executorIdleTimeout`, the executor which runs this task will be killed.
> The following steps (yarn-client mode) can reproduce this bug:
> 1. Start `spark-shell` using
> {code}
> ./bin/spark-shell --conf "spark.shuffle.service.enabled=true" \
>     --conf "spark.dynamicAllocation.minExecutors=1" \
>     --conf "spark.dynamicAllocation.maxExecutors=4" \
>     --conf "spark.dynamicAllocation.enabled=true" \
>     --conf "spark.dynamicAllocation.executorIdleTimeout=30" \
>     --master yarn-client \
>     --driver-memory 512m \
>     --executor-memory 512m \
>     --executor-cores 1
> {code}
> 2. Wait more than 30 seconds until there is only one executor.
> 3. Run the following code (a task needs at least 50 seconds to finish)
> {code}
> val r = sc.parallelize(1 to 1000, 20).map{t => Thread.sleep(1000); t}.groupBy(_ % 2).collect()
> {code}
> 4. Executors will be killed and allocated all the time, which makes the Job fail.



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