Please check which netty jar(s) are on the classpath. NioWorkerPool(Executor workerExecutor, int workerCount) was added in netty 3.5.4
Cheers On Tue, Jan 20, 2015 at 4:15 PM, ey-chih chow <eyc...@hotmail.com> wrote: > Hi, > > I issued the following command in a ec2 cluster launched using spark-ec2: > > ~/spark/bin/spark-submit --class com.crowdstar.cluster.etl.ParseAndClean > --master spark://ec2-54-185-107-113.us-west-2.compute.amazonaws.com:7077 > --deploy-mode cluster --total-executor-cores 4 > file:///tmp/etl-admin/jar/spark-etl-0.0.1-SNAPSHOT.jar > /ETL/input/2015/01/10/12/10Jan2015.avro > file:///tmp/etl-admin/vertica/VERTICA.avdl > file:///tmp/etl-admin/vertica/extras.json > file:///tmp/etl-admin/jar/spark-etl-0.0.1-SNAPSHOT.jar > > The command failed with the following error logs in Spark-UI. Is there any > suggestion on how to fix the problem? Thanks. > > Ey-Chih Chow > > ====================================== > > Launch Command: "/usr/lib/jvm/java-1.7.0/bin/java" "-cp" > > "/root/spark/work/driver-20150120200843-0000/spark-etl-0.0.1-SNAPSHOT.jar::::/root/ephemeral-hdfs/conf:/root/spark/conf:/root/spark/lib/spark-assembly-1.1.0-hadoop1.0.4.jar:/root/spark/lib/datanucleus-api-jdo-3.2.1.jar:/root/spark/lib/datanucleus-core-3.2.2.jar:/root/spark/lib/datanucleus-rdbms-3.2.1.jar" > "-XX:MaxPermSize=128m" > "-Dspark.executor.extraLibraryPath=/root/ephemeral-hdfs/lib/native/" > "-Dspark.executor.memory=13000m" "-Dspark.akka.askTimeout=10" > "-Dspark.cores.max=4" > "-Dspark.app.name=com.crowdstar.cluster.etl.ParseAndClean" > "-Dspark.jars=file:///tmp/etl-admin/jar/spark-etl-0.0.1-SNAPSHOT.jar" > "-Dspark.executor.extraClassPath=/root/ephemeral-hdfs/conf" > "-Dspark.master=spark:// > ec2-54-203-58-2.us-west-2.compute.amazonaws.com:7077" > "-Dakka.loglevel=WARNING" "-Xms512M" "-Xmx512M" > "org.apache.spark.deploy.worker.DriverWrapper" > "akka.tcp://sparkwor...@ip-10-33-140-157.us-west-2.compute.internal > :47585/user/Worker" > "com.crowdstar.cluster.etl.ParseAndClean" > "/ETL/input/2015/01/10/12/10Jan2015.avro" > "file:///tmp/etl-admin/vertica/VERTICA.avdl" > "file:///tmp/etl-admin/vertica/extras.json" > "file:///tmp/etl-admin/jar/spark-etl-0.0.1-SNAPSHOT.jar" > ======================================== > > SLF4J: Class path contains multiple SLF4J bindings. > SLF4J: Found binding in > > [jar:file:/root/spark/work/driver-20150120200843-0000/spark-etl-0.0.1-SNAPSHOT.jar!/org/slf4j/impl/StaticLoggerBinder.class] > SLF4J: Found binding in > > [jar:file:/root/spark/lib/spark-assembly-1.1.0-hadoop1.0.4.jar!/org/slf4j/impl/StaticLoggerBinder.class] > SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an > explanation. > SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] > 15/01/20 20:08:45 INFO spark.SecurityManager: Changing view acls to: root, > 15/01/20 20:08:45 INFO spark.SecurityManager: Changing modify acls to: > root, > 15/01/20 20:08:45 INFO spark.SecurityManager: SecurityManager: > authentication disabled; ui acls disabled; users with view permissions: > Set(root, ); users with modify permissions: Set(root, ) > 15/01/20 20:08:45 INFO slf4j.Slf4jLogger: Slf4jLogger started > 15/01/20 20:08:45 ERROR actor.ActorSystemImpl: Uncaught fatal error from > thread [Driver-akka.actor.default-dispatcher-3] shutting down ActorSystem > [Driver] > java.lang.NoSuchMethodError: > > org.jboss.netty.channel.socket.nio.NioWorkerPool.<init>(Ljava/util/concurrent/Executor;I)V > at > akka.remote.transport.netty.NettyTransport.<init>(NettyTransport.scala:282) > at > akka.remote.transport.netty.NettyTransport.<init>(NettyTransport.scala:239) > at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native > Method) > at > > sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57) > at > > sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) > at java.lang.reflect.Constructor.newInstance(Constructor.java:526) > at > > akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$2.apply(DynamicAccess.scala:78) > at scala.util.Try$.apply(Try.scala:161) > at > > akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:73) > at > > akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84) > at > > akka.actor.ReflectiveDynamicAccess$$anonfun$createInstanceFor$3.apply(DynamicAccess.scala:84) > at scala.util.Success.flatMap(Try.scala:200) > at > > akka.actor.ReflectiveDynamicAccess.createInstanceFor(DynamicAccess.scala:84) > at akka.remote.EndpointManager$$anonfun$8.apply(Remoting.scala:618) > at akka.remote.EndpointManager$$anonfun$8.apply(Remoting.scala:610) > at > > scala.collection.TraversableLike$WithFilter$$anonfun$map$2.apply(TraversableLike.scala:722) > at scala.collection.Iterator$class.foreach(Iterator.scala:727) > at scala.collection.AbstractIterator.foreach(Iterator.scala:1157) > at > scala.collection.IterableLike$class.foreach(IterableLike.scala:72) > at scala.collection.AbstractIterable.foreach(Iterable.scala:54) > at > scala.collection.TraversableLike$WithFilter.map(TraversableLike.scala:721) > at > > akka.remote.EndpointManager.akka$remote$EndpointManager$$listens(Remoting.scala:610) > at > > akka.remote.EndpointManager$$anonfun$receive$2.applyOrElse(Remoting.scala:450) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > at > > akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) > at > scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > > scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) > at > scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) > at > > scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) > Exception in thread "main" java.util.concurrent.TimeoutException: Futures > timed out after [10000 milliseconds] > at > scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) > at > scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) > at > scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) > at > > scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) > at scala.concurrent.Await$.result(package.scala:107) > at akka.remote.Remoting.start(Remoting.scala:173) > at > akka.remote.RemoteActorRefProvider.init(RemoteActorRefProvider.scala:184) > at > akka.actor.ActorSystemImpl._start$lzycompute(ActorSystem.scala:579) > at akka.actor.ActorSystemImpl._start(ActorSystem.scala:577) > at akka.actor.ActorSystemImpl.start(ActorSystem.scala:588) > at akka.actor.ActorSystem$.apply(ActorSystem.scala:111) > at akka.actor.ActorSystem$.apply(ActorSystem.scala:104) > at > > org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$$doCreateActorSystem(AkkaUtils.scala:121) > at > org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:54) > at > org.apache.spark.util.AkkaUtils$$anonfun$1.apply(AkkaUtils.scala:53) > at > > org.apache.spark.util.Utils$$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1446) > at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141) > at > org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1442) > at > org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:56) > at > org.apache.spark.deploy.worker.DriverWrapper$.main(DriverWrapper.scala:33) > at > org.apache.spark.deploy.worker.DriverWrapper.main(DriverWrapper.scala) > > > > -- > View 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