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https://issues.apache.org/jira/browse/SPARK-2645?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14289654#comment-14289654
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Sean Owen commented on SPARK-2645:
----------------------------------

Is this still an issue? I do not see any call to {{System.exit(50)}} anymore.

> Spark driver calls System.exit(50) after calling SparkContext.stop() the 
> second time 
> -------------------------------------------------------------------------------------
>
>                 Key: SPARK-2645
>                 URL: https://issues.apache.org/jira/browse/SPARK-2645
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.0.0
>            Reporter: Vlad Komarov
>
> In some cases my application calls SparkContext.stop() after it has already 
> stopped and this leads to stopping JVM that runs spark driver.
> E.g
> This program should run forever
> {code}
> JavaSparkContext context = new JavaSparkContext("spark://12.34.21.44:7077", 
> "DummyApp");
>         try {
>             JavaRDD<Integer> rdd = context.parallelize(Arrays.asList(1, 2, 
> 3));
>             rdd.count();
>         } catch (Throwable e) {
>             e.printStackTrace();
>         }
>         try {
>             context.cancelAllJobs();
>             context.stop();
>             //call stop second time
>             context.stop();
>         } catch (Throwable e) {
>             e.printStackTrace();
>         }
>         Thread.currentThread().join();
> {code}
> but it finishes with exit code 50 after calling SparkContext.stop() the 
> second time.
> Also it throws an exception like this
> {code}
> org.apache.spark.ServerStateException: Server is already stopped
>       at org.apache.spark.HttpServer.stop(HttpServer.scala:122) 
> ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at org.apache.spark.HttpFileServer.stop(HttpFileServer.scala:48) 
> ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at org.apache.spark.SparkEnv.stop(SparkEnv.scala:81) 
> ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at org.apache.spark.SparkContext.stop(SparkContext.scala:984) 
> ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at 
> org.apache.spark.scheduler.cluster.SparkDeploySchedulerBackend.dead(SparkDeploySchedulerBackend.scala:92)
>  ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at 
> org.apache.spark.deploy.client.AppClient$ClientActor.markDead(AppClient.scala:178)
>  ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at 
> org.apache.spark.deploy.client.AppClient$ClientActor$$anonfun$registerWithMaster$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(AppClient.scala:96)
>  ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at org.apache.spark.util.Utils$.tryOrExit(Utils.scala:790) 
> ~[spark-core_2.10-1.0.0.jar:1.0.0]
>       at 
> org.apache.spark.deploy.client.AppClient$ClientActor$$anonfun$registerWithMaster$1.apply$mcV$sp(AppClient.scala:91)
>  [spark-core_2.10-1.0.0.jar:1.0.0]
>       at akka.actor.Scheduler$$anon$9.run(Scheduler.scala:80) 
> [akka-actor_2.10-2.2.3-shaded-protobuf.jar:na]
>       at 
> akka.actor.LightArrayRevolverScheduler$$anon$3$$anon$2.run(Scheduler.scala:241)
>  [akka-actor_2.10-2.2.3-shaded-protobuf.jar:na]
>       at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:42) 
> [akka-actor_2.10-2.2.3-shaded-protobuf.jar:na]
>       at 
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>  [akka-actor_2.10-2.2.3-shaded-protobuf.jar:na]
>       at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) 
> [scala-library-2.10.4.jar:na]
>       at 
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>  [scala-library-2.10.4.jar:na]
>       at 
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) 
> [scala-library-2.10.4.jar:na]
>       at 
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>  [scala-library-2.10.4.jar:na]
> {code}
> One remark is that this behavior is only reproducible when I call 
> SparkContext.cancellAllJobs() before calling SparkContext.stop()



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