[
https://issues.apache.org/jira/browse/SPARK-16522?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved SPARK-16522.
-------------------------------
Resolution: Fixed
Assignee: Sun Rui
Fix Version/s: 2.1.0
Resolved by https://github.com/apache/spark/pull/14175
> [MESOS] Spark application throws exception on exit
> --------------------------------------------------
>
> Key: SPARK-16522
> URL: https://issues.apache.org/jira/browse/SPARK-16522
> Project: Spark
> Issue Type: Bug
> Components: Mesos
> Affects Versions: 2.0.0
> Reporter: Sun Rui
> Assignee: Sun Rui
> Fix For: 2.1.0
>
>
> Spark applications running on Mesos throw exception upon exit as follows:
> {noformat}
> 16/07/13 15:20:46 WARN NettyRpcEndpointRef: Error sending message [message =
> RemoveExecutor(1,Executor finished with state FINISHED)] in 3 attempts
> org.apache.spark.SparkException: Exception thrown in awaitResult
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)
> at
> org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.removeExecutor(CoarseGrainedSchedulerBackend.scala:412)
> at
> org.apache.spark.scheduler.cluster.mesos.MesosCoarseGrainedSchedulerBackend.executorTerminated(MesosCoarseGrainedSchedulerBackend.scala:555)
> at
> org.apache.spark.scheduler.cluster.mesos.MesosCoarseGrainedSchedulerBackend.statusUpdate(MesosCoarseGrainedSchedulerBackend.scala:495)
> Caused by: org.apache.spark.SparkException: Could not find
> CoarseGrainedScheduler.
> at
> org.apache.spark.rpc.netty.Dispatcher.postMessage(Dispatcher.scala:152)
> at
> org.apache.spark.rpc.netty.Dispatcher.postLocalMessage(Dispatcher.scala:127)
> at org.apache.spark.rpc.netty.NettyRpcEnv.ask(NettyRpcEnv.scala:225)
> at
> org.apache.spark.rpc.netty.NettyRpcEndpointRef.ask(NettyRpcEnv.scala:508)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
> ... 4 more
> Exception in thread "Thread-47" org.apache.spark.SparkException: Error
> notifying standalone scheduler's driver endpoint
> at
> org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.removeExecutor(CoarseGrainedSchedulerBackend.scala:415)
> at
> org.apache.spark.scheduler.cluster.mesos.MesosCoarseGrainedSchedulerBackend.executorTerminated(MesosCoarseGrainedSchedulerBackend.scala:555)
> at
> org.apache.spark.scheduler.cluster.mesos.MesosCoarseGrainedSchedulerBackend.statusUpdate(MesosCoarseGrainedSchedulerBackend.scala:495)
> Caused by: org.apache.spark.SparkException: Error sending message [message =
> RemoveExecutor(1,Executor finished with state FINISHED)]
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:119)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)
> at
> org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.removeExecutor(CoarseGrainedSchedulerBackend.scala:412)
> ... 2 more
> Caused by: org.apache.spark.SparkException: Exception thrown in awaitResult
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)
> at
> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at
> org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
> at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
> at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)
> ... 4 more
> Caused by: org.apache.spark.SparkException: Could not find
> CoarseGrainedScheduler.
> at
> org.apache.spark.rpc.netty.Dispatcher.postMessage(Dispatcher.scala:152)
> at
> org.apache.spark.rpc.netty.Dispatcher.postLocalMessage(Dispatcher.scala:127)
> at org.apache.spark.rpc.netty.NettyRpcEnv.ask(NettyRpcEnv.scala:225)
> at
> org.apache.spark.rpc.netty.NettyRpcEndpointRef.ask(NettyRpcEnv.scala:508)
> at
> org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:101)
> ... 4 more
> {noformat}
> Applications' result is not affected by this error.
> This issue can be simply reproduced by launching a spark-shell, and exit
> after running the following commands:
> {code}
> val rdd = sc.parallelize(1 to 10, 10)
> rdd.map { _ + 1} collect
> {code}
> The root cause is that in SparkContext.stop(),
> MesosCoarseGrainedSchedulerBackend.stop() calls
> CoarseGrainedSchedulerBackend.stop(). The latter sends messages to stop
> executors and also stop the driver endpoint without waiting for the actual
> stop of executors. MesosCoarseGrainedSchedulerBackend.stop() still waits for
> the executors to stop in a timeout. During the wait,
> MesosCoarseGrainedSchedulerBackend.statusUpdate() generally will be called to
> update executors' status, and in turn removeExecutor() is called. But at that
> time, the driver endpoint is not available.
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