Thanks Akhil for the reply,

I am using ant and I placed the latest 1.5.0 jar file in my code and I am
actually testing this on my laptop, so I have got only two places to change
one in spark itself and the other in my code.
And I did that.

On Mon, Sep 28, 2015 at 2:30 PM Akhil Das <ak...@sigmoidanalytics.com>
wrote:

> Update the dependency version in your jobs build file, Also make sure you
> have updated the spark version to 1.5.0 everywhere. (in the cluster, code)
>
> Thanks
> Best Regards
>
> On Mon, Sep 28, 2015 at 11:29 AM, lokeshkumar <lok...@dataken.net> wrote:
>
>> Hi forum
>>
>> I have just upgraded spark from 1.4.0 to 1.5.0 and am running my old
>> (1.4.0)
>> jobs on 1.5.0 using 'spark://ip:7077' cluster URL. But the job does not
>> seem
>> to start and errors out at server with below incompatible class exception
>>
>> 15/09/28 11:20:07 INFO Master: 10.0.0.195:34702 got disassociated,
>> removing
>> it.
>> 15/09/28 11:20:07 WARN ReliableDeliverySupervisor: Association with remote
>> system [akka.tcp://sparkDriver@10.0.0.195:34702] has failed, address is
>> now
>> gated for [5000] ms. Reason:
>> [org.apache.spark.deploy.DeployMessages$RegisterApplication; local class
>> incompatible: stream classdesc serialVersionUID = 352674063933172066,
>> local
>> class serialVersionUID = -5495080032843259921]
>> 15/09/28 11:20:27 ERROR ErrorMonitor:
>> org.apache.spark.deploy.DeployMessages$RegisterApplication; local class
>> incompatible: stream classdesc serialVersionUID = 352674063933172066,
>> local
>> class serialVersionUID = -5495080032843259921
>> java.io.InvalidClassException:
>> org.apache.spark.deploy.DeployMessages$RegisterApplication; local class
>> incompatible: stream classdesc serialVersionUID = 352674063933172066,
>> local
>> class serialVersionUID = -5495080032843259921
>>         at
>> java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:621)
>>         at
>> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1623)
>>         at
>> java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
>>         at
>> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
>>         at
>> java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>>         at
>> java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
>>         at
>> akka.serialization.JavaSerializer$$anonfun$1.apply(Serializer.scala:136)
>>         at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
>>         at
>> akka.serialization.JavaSerializer.fromBinary(Serializer.scala:136)
>>         at
>>
>> akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
>>         at scala.util.Try$.apply(Try.scala:161)
>>         at
>> akka.serialization.Serialization.deserialize(Serialization.scala:98)
>>         at
>>
>> akka.remote.serialization.MessageContainerSerializer.fromBinary(MessageContainerSerializer.scala:63)
>>         at
>>
>> akka.serialization.Serialization$$anonfun$deserialize$1.apply(Serialization.scala:104)
>>         at scala.util.Try$.apply(Try.scala:161)
>>         at
>> akka.serialization.Serialization.deserialize(Serialization.scala:98)
>>         at
>> akka.remote.MessageSerializer$.deserialize(MessageSerializer.scala:23)
>>         at
>>
>> akka.remote.DefaultMessageDispatcher.payload$lzycompute$1(Endpoint.scala:58)
>>         at
>> akka.remote.DefaultMessageDispatcher.payload$1(Endpoint.scala:58)
>>         at
>> akka.remote.DefaultMessageDispatcher.dispatch(Endpoint.scala:76)
>>         at
>>
>> akka.remote.EndpointReader$$anonfun$receive$2.applyOrElse(Endpoint.scala:935)
>>         at akka.actor.Actor$class.aroundReceive(Actor.scala:467)
>>         at akka.remote.EndpointActor.aroundReceive(Endpoint.scala:411)
>>         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$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
>>         at
>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>         at
>>
>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>         at
>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>         at
>>
>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>
>>
>> The error at client is 'Association with remote system
>> [akka.tcp://sparkMaster@lokesh-lt:7077] has failed, address is now gated
>> for
>> [5000] ms. Reason is: [Disassociated].'
>>
>> Please let me know if I am doing anything wrong,
>>
>>
>>
>> --
>> View this message in context:
>> http://apache-spark-user-list.1001560.n3.nabble.com/Spark-1-5-0-Not-able-to-submit-jobs-using-cluster-URL-tp24835.html
>> Sent from the Apache Spark User List mailing list archive at Nabble.com.
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org
>> For additional commands, e-mail: user-h...@spark.apache.org
>>
>>

Reply via email to