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Posted to issues@spark.apache.org by "Patrick Wendell (JIRA)" <ji...@apache.org> on 2014/11/23 03:40:13 UTC
[jira] [Resolved] (SPARK-4377) ZooKeeperPersistenceEngine:
java.lang.IllegalStateException: Trying to deserialize a serialized
ActorRef without an ActorSystem in scope.
[ https://issues.apache.org/jira/browse/SPARK-4377?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Patrick Wendell resolved SPARK-4377.
------------------------------------
Resolution: Fixed
> ZooKeeperPersistenceEngine: java.lang.IllegalStateException: Trying to deserialize a serialized ActorRef without an ActorSystem in scope.
> -----------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-4377
> URL: https://issues.apache.org/jira/browse/SPARK-4377
> Project: Spark
> Issue Type: Bug
> Components: Deploy, Spark Core
> Affects Versions: 1.3.0
> Reporter: Josh Rosen
> Assignee: Prashant Sharma
> Priority: Blocker
> Fix For: 1.3.0
>
>
> It looks like ZooKeeperPersistenceEngine is broken in the current Spark master (23f5bdf06a388e08ea5a69e848f0ecd5165aa481). Here's a log excerpt from a secondary master when it takes over from a failed primary master:
> {code}
> 14/11/13 04:37:12 WARN ConnectionStateManager: There are no ConnectionStateListeners registered.
> 14/11/13 04:37:19 INFO Master: Registering worker 172.17.0.223:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:20 INFO Master: Registering worker 172.17.0.224:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:35 INFO Master: Registering worker 172.17.0.223:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:35 INFO Master: Registering worker 172.17.0.224:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:43 INFO Master: Registering worker 172.17.0.224:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:47 INFO Master: Registering worker 172.17.0.223:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:51 INFO Master: Registering worker 172.17.0.224:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:59 INFO Master: Registering worker 172.17.0.223:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:37:59 INFO Master: Registering worker 172.17.0.224:8888 with 8 cores, 984.0 MB RAM
> 14/11/13 04:38:06 INFO ZooKeeperLeaderElectionAgent: We have gained leadership
> 14/11/13 04:38:06 WARN ZooKeeperPersistenceEngine: Exception while reading persisted file, deleting
> java.io.IOException: java.lang.IllegalStateException: Trying to deserialize a serialized ActorRef without an ActorSystem in scope. Use 'akka.serialization.Serialization.currentSystem.withValue(system) { ... }'
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:988)
> at org.apache.spark.deploy.master.ApplicationInfo.readObject(ApplicationInfo.scala:51)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at java.io.ObjectStreamClass.invokeReadObject(ObjectStreamClass.java:1017)
> at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1893)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> at java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
> at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62)
> at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:81)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine.deserializeFromFile(ZooKeeperPersistenceEngine.scala:69)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine$$anonfun$read$1.apply(ZooKeeperPersistenceEngine.scala:54)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine$$anonfun$read$1.apply(ZooKeeperPersistenceEngine.scala:54)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:244)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at scala.collection.TraversableLike$class.map(TraversableLike.scala:244)
> at scala.collection.AbstractTraversable.map(Traversable.scala:105)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine.read(ZooKeeperPersistenceEngine.scala:54)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine.read(ZooKeeperPersistenceEngine.scala:32)
> at org.apache.spark.deploy.master.PersistenceEngine$class.readPersistedData(PersistenceEngine.scala:84)
> at org.apache.spark.deploy.master.ZooKeeperPersistenceEngine.readPersistedData(ZooKeeperPersistenceEngine.scala:32)
> at org.apache.spark.deploy.master.Master$$anonfun$receiveWithLogging$1.applyOrElse(Master.scala:181)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:53)
> at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:42)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
> at org.apache.spark.util.ActorLogReceive$$anon$1.applyOrElse(ActorLogReceive.scala:42)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at org.apache.spark.deploy.master.Master.aroundReceive(Master.scala:48)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
> at akka.dispatch.Mailbox.run(Mailbox.scala:220)
> at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> Caused by: java.lang.IllegalStateException: Trying to deserialize a serialized ActorRef without an ActorSystem in scope. Use 'akka.serialization.Serialization.currentSystem.withValue(system) { ... }'
> at akka.actor.SerializedActorRef.readResolve(ActorRef.scala:407)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:606)
> at java.io.ObjectStreamClass.invokeReadResolve(ObjectStreamClass.java:1104)
> at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1807)
> at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
> at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
> at java.io.ObjectInputStream.defaultReadObject(ObjectInputStream.java:500)
> at org.apache.spark.deploy.master.ApplicationInfo$$anonfun$readObject$1.apply$mcV$sp(ApplicationInfo.scala:52)
> at org.apache.spark.util.Utils$.tryOrIOException(Utils.scala:985)
> ... 44 more
> {code}
> I found this by running my custom Spark integration tests framework, which has a test that roughly corresponds to Apache Spark's {{FaultToleranceTest}}, specifically the "single-master-halt" test.
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