Thanks for help. I added the following dependency in my pom file and the
problem went away.
<dependency> <!-- default Netty -->
<groupId>io.netty</groupId>
<artifactId>netty</artifactId>
<version>3.6.6.Final</version>
</dependency>
Ey-Chih
Date: Tue, 20 Jan 2015 16:57:20 -0800 Subject: Re: Spark 1.1.0 - spark-submit
failedFrom: yuzhih...@gmail.com
To: eyc...@hotmail.com
CC: user@spark.apache.org
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)
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