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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/04/02 17:43:25 UTC
[jira] [Updated] (SPARK-14180) Deadlock in
CoarseGrainedExecutorBackend Shutdown
[ https://issues.apache.org/jira/browse/SPARK-14180?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen updated SPARK-14180:
------------------------------
Priority: Critical (was: Blocker)
Fix Version/s: (was: 2.0.0)
> Deadlock in CoarseGrainedExecutorBackend Shutdown
> -------------------------------------------------
>
> Key: SPARK-14180
> URL: https://issues.apache.org/jira/browse/SPARK-14180
> Project: Spark
> Issue Type: Bug
> Environment: master branch. commit d6dc12ef0146ae409834c78737c116050961f350
> Reporter: Michael Gummelt
> Priority: Critical
>
> I'm fairly certain that https://github.com/apache/spark/pull/11031 introduced a deadlock in executor shutdown. The result is executor shutdown hangs indefinitely. In Mesos at least, this lasts until {{spark.mesos.coarse.shutdownTimeout}} (default 10s), at which point the driver stops, which force kills the executors.
> The deadlock is as follows:
> - CoarseGrainedExecutorBackend receives a Shutdown message, which now blocks on rpcEnv.awaitTermination() https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/SparkEnv.scala#L95
> - rpcEnv.awaitTermination() blocks on dispatcher.awaitTermination(), which blocks until all dispatcher threads (MessageLoop threads) terminate
> - However, the initial Shutdown message handling is itself handled by a Dispatcher MessageLoop thread. This mutual dependence results in a deadlock. https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/rpc/netty/Dispatcher.scala#L216
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