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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/06/30 23:01:04 UTC
[jira] [Updated] (SPARK-2645) Spark driver calls System.exit(50)
after calling SparkContext.stop() the second time
[ https://issues.apache.org/jira/browse/SPARK-2645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Or updated SPARK-2645:
-----------------------------
Assignee: Rekha Joshi
> 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
> Assignee: Rekha Joshi
> Fix For: 1.5.0
>
>
> 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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