I defer to the experts but that is what i do and it works. Weird rpc  errors on 
spark are often due to version mismatch. I wish there was a simple version 
check but afaik there isnt

Sent from my iPhone

> On Aug 4, 2016, at 11:51 AM, Brian Liao <brianbl...@gmail.com> wrote:
> 
> So you are saying that I need to install spark locally in order to get this 
> to work?
> 
>> On Aug 4, 2016, at 11:12 AM, Mohit Jaggi <mohitja...@gmail.com> wrote:
>> 
>> One of the Z config variables points to your local spark installation. Make 
>> sure it is the same version as the one on the cluster.
>> 
>>> On Aug 4, 2016, at 10:49 AM, Brian Liao <brianbl...@gmail.com> wrote:
>>> 
>>> Hi,
>>> 
>>> Thank you.
>>> 
>>> I used the prebuilt binary package version 0.6.0 from Zeppelin and my spark 
>>> cluster is 1.5.
>>> 
>>> Is there a way to force the prebuilt zeppelin to use 1.5? or the only way 
>>> to do this is to compile from source?
>>> 
>>> Also I don’t need to install Spark locally on where I host Zeppelin?
>>> 
>>> 
>>>> On Aug 4, 2016, at 10:25 AM, Mohit Jaggi <mohitja...@gmail.com> wrote:
>>>> 
>>>> mismatched spark version?
>>>> 
>>>> 
>>>>> On Aug 4, 2016, at 8:11 AM, Brian Liao <brianbl...@gmail.com> wrote:
>>>>> 
>>>>> Hi 
>>>>> 
>>>>> I am following this guide (http://zeppelin.apache.org/download.html) to 
>>>>> install Zeppelin, but wasn't able to configure it and get it to work. I 
>>>>> used the binary package (the one that I don't need to compile anymore).
>>>>> 
>>>>> I would like to have Zeppelin setup as a separate server but really have 
>>>>> no idea what the requirement of this would be. 
>>>>> 
>>>>> I have a Spark (1.5) standalone cluster setup.
>>>>> 
>>>>> The error I get from my Zeppelin interpreter log when trying to run a 
>>>>> simple %md command is the following: 
>>>>> 
>>>>>  INFO [2016-08-04 00:24:51,645] ({Thread-0} 
>>>>> RemoteInterpreterServer.java[run]:81) - Starting remote interpreter 
>>>>> server on port 40408
>>>>>  INFO [2016-08-04 00:24:51,980] ({pool-1-thread-2} 
>>>>> RemoteInterpreterServer.java[createInterpreter]:169) - Instantiate 
>>>>> interpreter org.apache.zeppelin.spark.SparkInterpreter
>>>>>  INFO [2016-08-04 00:24:52,019] ({pool-1-thread-2} 
>>>>> RemoteInterpreterServer.java[createInterpreter]:169) - Instantiate 
>>>>> interpreter org.apache.zeppelin.spark.PySparkInterpreter
>>>>>  INFO [2016-08-04 00:24:52,023] ({pool-1-thread-2} 
>>>>> RemoteInterpreterServer.java[createInterpreter]:169) - Instantiate 
>>>>> interpreter org.apache.zeppelin.spark.SparkRInterpreter
>>>>>  INFO [2016-08-04 00:24:52,024] ({pool-1-thread-2} 
>>>>> RemoteInterpreterServer.java[createInterpreter]:169) - Instantiate 
>>>>> interpreter org.apache.zeppelin.spark.SparkSqlInterpreter
>>>>>  INFO [2016-08-04 00:24:52,027] ({pool-1-thread-2} 
>>>>> RemoteInterpreterServer.java[createInterpreter]:169) - Instantiate 
>>>>> interpreter org.apache.zeppelin.spark.DepInterpreter
>>>>>  INFO [2016-08-04 00:24:52,056] ({pool-2-thread-2} 
>>>>> SchedulerFactory.java[jobStarted]:131) - Job 
>>>>> remoteInterpretJob_1470270292054 started by scheduler 
>>>>> org.apache.zeppelin.spark.SparkInterpreter1041596993
>>>>>  WARN [2016-08-04 00:24:52,897] ({pool-2-thread-2} 
>>>>> NativeCodeLoader.java[<clinit>]:62) - Unable to load native-hadoop 
>>>>> library for your platform... using builtin-java classes where applicable
>>>>>  INFO [2016-08-04 00:24:53,046] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Changing view acls to: root
>>>>>  INFO [2016-08-04 00:24:53,047] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Changing modify acls to: root
>>>>>  INFO [2016-08-04 00:24:53,047] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - SecurityManager: authentication disabled; ui 
>>>>> acls disabled; users with view permissions: Set(root); users with modify 
>>>>> permissions: Set(root)
>>>>>  INFO [2016-08-04 00:24:53,279] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Starting HTTP Server
>>>>>  INFO [2016-08-04 00:24:53,316] ({pool-2-thread-2} 
>>>>> Server.java[doStart]:272) - jetty-8.y.z-SNAPSHOT
>>>>>  INFO [2016-08-04 00:24:53,329] ({pool-2-thread-2} 
>>>>> AbstractConnector.java[doStart]:338) - Started 
>>>>> SocketConnector@0.0.0.0:42231
>>>>>  INFO [2016-08-04 00:24:53,330] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Successfully started service 'HTTP class 
>>>>> server' on port 42231.
>>>>>  INFO [2016-08-04 00:24:55,298] ({pool-2-thread-2} 
>>>>> SparkInterpreter.java[createSparkContext]:233) - ------ Create new 
>>>>> SparkContext spark://10.1.4.190:7077 -------
>>>>>  INFO [2016-08-04 00:24:55,313] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Running Spark version 1.6.1
>>>>>  WARN [2016-08-04 00:24:55,326] ({pool-2-thread-2} 
>>>>> Logging.scala[logWarning]:70) - 
>>>>> SPARK_CLASSPATH was detected (set to 
>>>>> ':/home/ubuntu/zeppelin/interpreter/spark/dep/*:/home/ubuntu/zeppelin/interpreter/spark/*::/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/lib/zeppelin-interpreter-0.6.0.jar:/etc/hadoop/conf/').
>>>>> This is deprecated in Spark 1.0+.
>>>>> 
>>>>> Please instead use:
>>>>>  - ./spark-submit with --driver-class-path to augment the driver classpath
>>>>>  - spark.executor.extraClassPath to augment the executor classpath
>>>>>         
>>>>>  WARN [2016-08-04 00:24:55,327] ({pool-2-thread-2} 
>>>>> Logging.scala[logWarning]:70) - Setting 'spark.executor.extraClassPath' 
>>>>> to 
>>>>> ':/home/ubuntu/zeppelin/interpreter/spark/dep/*:/home/ubuntu/zeppelin/interpreter/spark/*::/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/lib/zeppelin-interpreter-0.6.0.jar:/etc/hadoop/conf/'
>>>>>  as a work-around.
>>>>>  WARN [2016-08-04 00:24:55,327] ({pool-2-thread-2} 
>>>>> Logging.scala[logWarning]:70) - Setting 'spark.driver.extraClassPath' to 
>>>>> ':/home/ubuntu/zeppelin/interpreter/spark/dep/*:/home/ubuntu/zeppelin/interpreter/spark/*::/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/conf:/home/ubuntu/zeppelin/lib/zeppelin-interpreter-0.6.0.jar:/etc/hadoop/conf/'
>>>>>  as a work-around.
>>>>>  INFO [2016-08-04 00:24:55,338] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Changing view acls to: root
>>>>>  INFO [2016-08-04 00:24:55,339] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Changing modify acls to: root
>>>>>  INFO [2016-08-04 00:24:55,339] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - SecurityManager: authentication disabled; ui 
>>>>> acls disabled; users with view permissions: Set(root); users with modify 
>>>>> permissions: Set(root)
>>>>>  INFO [2016-08-04 00:24:55,483] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Successfully started service 'sparkDriver' 
>>>>> on port 56365.
>>>>>  INFO [2016-08-04 00:24:55,723] 
>>>>> ({sparkDriverActorSystem-akka.actor.default-dispatcher-4} 
>>>>> Slf4jLogger.scala[applyOrElse]:80) - Slf4jLogger started
>>>>>  INFO [2016-08-04 00:24:55,749] 
>>>>> ({sparkDriverActorSystem-akka.actor.default-dispatcher-4} 
>>>>> Slf4jLogger.scala[apply$mcV$sp]:74) - Starting remoting
>>>>>  INFO [2016-08-04 00:24:55,869] 
>>>>> ({sparkDriverActorSystem-akka.actor.default-dispatcher-4} 
>>>>> Slf4jLogger.scala[apply$mcV$sp]:74) - Remoting started; listening on 
>>>>> addresses :[akka.tcp://sparkDriverActorSystem@10.1.4.253:57523]
>>>>>  INFO [2016-08-04 00:24:55,869] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Successfully started service 
>>>>> 'sparkDriverActorSystem' on port 57523.
>>>>>  INFO [2016-08-04 00:24:55,878] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Registering MapOutputTracker
>>>>>  INFO [2016-08-04 00:24:55,894] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Registering BlockManagerMaster
>>>>>  INFO [2016-08-04 00:24:55,904] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Created local directory at 
>>>>> /tmp/blockmgr-947bf6b6-5c70-4d29-b4b0-975692e0c08d
>>>>>  INFO [2016-08-04 00:24:55,908] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - MemoryStore started with capacity 511.1 MB
>>>>>  INFO [2016-08-04 00:24:55,981] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Registering OutputCommitCoordinator
>>>>>  INFO [2016-08-04 00:24:56,081] ({pool-2-thread-2} 
>>>>> Server.java[doStart]:272) - jetty-8.y.z-SNAPSHOT
>>>>>  INFO [2016-08-04 00:24:56,100] ({pool-2-thread-2} 
>>>>> AbstractConnector.java[doStart]:338) - Started 
>>>>> SelectChannelConnector@0.0.0.0:4040
>>>>>  INFO [2016-08-04 00:24:56,100] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Successfully started service 'SparkUI' on 
>>>>> port 4040.
>>>>>  INFO [2016-08-04 00:24:56,103] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Started SparkUI at http://10.1.4.253:4040
>>>>>  INFO [2016-08-04 00:24:56,215] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - HTTP File server directory is 
>>>>> /tmp/spark-96766055-2740-40cc-b077-475152c38b03/httpd-e1f81450-2a99-413e-af3f-b21fb5ece333
>>>>>  INFO [2016-08-04 00:24:56,215] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Starting HTTP Server
>>>>>  INFO [2016-08-04 00:24:56,216] ({pool-2-thread-2} 
>>>>> Server.java[doStart]:272) - jetty-8.y.z-SNAPSHOT
>>>>>  INFO [2016-08-04 00:24:56,218] ({pool-2-thread-2} 
>>>>> AbstractConnector.java[doStart]:338) - Started 
>>>>> SocketConnector@0.0.0.0:42734
>>>>>  INFO [2016-08-04 00:24:56,218] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Successfully started service 'HTTP file 
>>>>> server' on port 42734.
>>>>>  INFO [2016-08-04 00:24:56,233] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Copying 
>>>>> /home/ubuntu/zeppelin/interpreter/spark/pyspark/pyspark.zip to 
>>>>> /tmp/spark-96766055-2740-40cc-b077-475152c38b03/userFiles-9f602668-e282-4214-be77-c68e36e9e110/pyspark.zip
>>>>>  INFO [2016-08-04 00:24:56,242] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Added file 
>>>>> file:/home/ubuntu/zeppelin/interpreter/spark/pyspark/pyspark.zip at 
>>>>> http://10.1.4.253:42734/files/pyspark.zip with timestamp 1470270296233
>>>>>  INFO [2016-08-04 00:24:56,243] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Copying 
>>>>> /home/ubuntu/zeppelin/interpreter/spark/pyspark/py4j-0.9-src.zip to 
>>>>> /tmp/spark-96766055-2740-40cc-b077-475152c38b03/userFiles-9f602668-e282-4214-be77-c68e36e9e110/py4j-0.9-src.zip
>>>>>  INFO [2016-08-04 00:24:56,251] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Added file 
>>>>> file:/home/ubuntu/zeppelin/interpreter/spark/pyspark/py4j-0.9-src.zip at 
>>>>> http://10.1.4.253:42734/files/py4j-0.9-src.zip with timestamp 
>>>>> 1470270296243
>>>>>  INFO [2016-08-04 00:24:56,285] ({pool-2-thread-2} 
>>>>> Logging.scala[logInfo]:58) - Created default pool default, 
>>>>> schedulingMode: FIFO, minShare: 0, weight: 1
>>>>>  INFO [2016-08-04 00:24:56,330] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>>  INFO [2016-08-04 00:25:16,331] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>> ERROR [2016-08-04 00:25:16,341] ({shuffle-client-0} 
>>>>> TransportResponseHandler.java[channelUnregistered]:122) - Still have 2 
>>>>> requests outstanding when connection from ip-10-1-4-190/10.1.4.190:7077 
>>>>> is closed
>>>>>  WARN [2016-08-04 00:25:16,343] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logWarning]:91) - Failed to connect to master 
>>>>> 10.1.4.190:7077
>>>>> java.io.IOException: Connection from ip-10-1-4-190/10.1.4.190:7077 closed
>>>>>   at 
>>>>> org.apache.spark.network.client.TransportResponseHandler.channelUnregistered(TransportResponseHandler.java:124)
>>>>>   at 
>>>>> org.apache.spark.network.server.TransportChannelHandler.channelUnregistered(TransportChannelHandler.java:94)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
>>>>>   at 
>>>>> io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
>>>>>   at 
>>>>> io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
>>>>>   at 
>>>>> io.netty.channel.ChannelInboundHandlerAdapter.channelUnregistered(ChannelInboundHandlerAdapter.java:53)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeChannelUnregistered(AbstractChannelHandlerContext.java:158)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.fireChannelUnregistered(AbstractChannelHandlerContext.java:144)
>>>>>   at 
>>>>> io.netty.channel.DefaultChannelPipeline.fireChannelUnregistered(DefaultChannelPipeline.java:739)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannel$AbstractUnsafe$8.run(AbstractChannel.java:659)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
>>>>>   at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
>>>>>   at java.lang.Thread.run(Thread.java:745)
>>>>>  INFO [2016-08-04 00:25:36,330] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>>  INFO [2016-08-04 00:25:36,331] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>> ERROR [2016-08-04 00:25:36,332] ({shuffle-client-0} 
>>>>> TransportClient.java[operationComplete]:235) - Failed to send RPC 
>>>>> 5850386894071965768 to ip-10-1-4-190/10.1.4.190:7077: 
>>>>> java.nio.channels.ClosedChannelException
>>>>> java.nio.channels.ClosedChannelException
>>>>> ERROR [2016-08-04 00:25:36,333] ({shuffle-client-0} 
>>>>> TransportClient.java[operationComplete]:235) - Failed to send RPC 
>>>>> 4955841159714871653 to ip-10-1-4-190/10.1.4.190:7077: 
>>>>> java.nio.channels.ClosedChannelException
>>>>> java.nio.channels.ClosedChannelException
>>>>>  WARN [2016-08-04 00:25:36,334] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logWarning]:91) - Failed to connect to master 
>>>>> 10.1.4.190:7077
>>>>> java.io.IOException: Failed to send RPC 4955841159714871653 to 
>>>>> ip-10-1-4-190/10.1.4.190:7077: java.nio.channels.ClosedChannelException
>>>>>   at 
>>>>> org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)
>>>>>   at 
>>>>> org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:567)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:424)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:801)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:699)
>>>>>   at 
>>>>> io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1122)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:633)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:32)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:908)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:960)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:893)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
>>>>>   at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
>>>>>   at java.lang.Thread.run(Thread.java:745)
>>>>> Caused by: java.nio.channels.ClosedChannelException
>>>>>  INFO [2016-08-04 00:25:56,330] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>>  INFO [2016-08-04 00:25:56,331] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logInfo]:58) - Connecting to master 
>>>>> spark://10.1.4.190:7077...
>>>>> ERROR [2016-08-04 00:25:56,332] ({appclient-registration-retry-thread} 
>>>>> Logging.scala[logError]:74) - Application has been killed. Reason: All 
>>>>> masters are unresponsive! Giving up.
>>>>> ERROR [2016-08-04 00:25:56,334] ({shuffle-client-0} 
>>>>> TransportClient.java[operationComplete]:235) - Failed to send RPC 
>>>>> 6244878284399143650 to ip-10-1-4-190/10.1.4.190:7077: 
>>>>> java.nio.channels.ClosedChannelException
>>>>> java.nio.channels.ClosedChannelException
>>>>>  WARN [2016-08-04 00:25:56,335] ({pool-2-thread-2} 
>>>>> Logging.scala[logWarning]:70) - Application ID is not initialized yet.
>>>>> ERROR [2016-08-04 00:25:56,339] ({shuffle-client-0} 
>>>>> TransportClient.java[operationComplete]:235) - Failed to send RPC 
>>>>> 4693556837279618360 to ip-10-1-4-190/10.1.4.190:7077: 
>>>>> java.nio.channels.ClosedChannelException
>>>>> java.nio.channels.ClosedChannelException
>>>>>  WARN [2016-08-04 00:25:56,340] ({appclient-register-master-threadpool-0} 
>>>>> Logging.scala[logWarning]:91) - Failed to connect to master 
>>>>> 10.1.4.190:7077
>>>>> java.io.IOException: Failed to send RPC 4693556837279618360 to 
>>>>> ip-10-1-4-190/10.1.4.190:7077: java.nio.channels.ClosedChannelException
>>>>>   at 
>>>>> org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)
>>>>>   at 
>>>>> org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:567)
>>>>>   at 
>>>>> io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:424)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:801)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:699)
>>>>>   at 
>>>>> io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1122)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:633)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:32)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:908)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:960)
>>>>>   at 
>>>>> io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:893)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)
>>>>>   at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)
>>>>>   at 
>>>>> io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
>>>>>   at java.lang.Thread.run(Thread.java:745)
>>>>> Caused by: java.nio.channels.ClosedChannelException
>>>>>  
>>>>> 
>>>>> The error log from my spark master is:
>>>>> 
>>>>> 16/08/04 00:25:15 ERROR actor.OneForOneStrategy: Error while decoding 
>>>>> incoming Akka PDU of length: 1305
>>>>> akka.remote.transport.AkkaProtocolException: Error while decoding 
>>>>> incoming Akka PDU of length: 1305
>>>>> Caused by: akka.remote.transport.PduCodecException: Decoding PDU failed.
>>>>>         at 
>>>>> akka.remote.transport.AkkaPduProtobufCodec$.decodePdu(AkkaPduCodec.scala:167)
>>>>>         at 
>>>>> akka.remote.transport.ProtocolStateActor.akka$remote$transport$ProtocolStateActor$$decodePdu(AkkaProtocolTransport.scala:513)
>>>>>         at 
>>>>> akka.remote.transport.ProtocolStateActor$$anonfun$4.applyOrElse(AkkaProtocolTransport.scala:320)
>>>>>         at 
>>>>> akka.remote.transport.ProtocolStateActor$$anonfun$4.applyOrElse(AkkaProtocolTransport.scala:292)
>>>>>         at 
>>>>> scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
>>>>>         at akka.actor.FSM$class.processEvent(FSM.scala:595)
>>>>>         at 
>>>>> akka.remote.transport.ProtocolStateActor.processEvent(AkkaProtocolTransport.scala:220)
>>>>>         at akka.actor.FSM$class.akka$actor$FSM$$processMsg(FSM.scala:589)
>>>>>         at akka.actor.FSM$$anonfun$receive$1.applyOrElse(FSM.scala:583)
>>>>>         at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
>>>>>         at akka.actor.ActorCell.invoke(ActorCell.scala:456)
>>>>>         at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
>>>>>         at akka.dispatch.Mailbox.run(Mailbox.scala:219)
>>>>>         at 
>>>>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386)
>>>>>         at 
>>>>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>>>>         at 
>>>>> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
>>>>>         at 
>>>>> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
>>>>>         at 
>>>>> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>>>>> Caused by: com.google.protobuf_spark.InvalidProtocolBufferException: 
>>>>> Protocol message contained an invalid tag (zero).
>>>>>         at 
>>>>> com.google.protobuf_spark.InvalidProtocolBufferException.invalidTag(InvalidProtocolBufferException.java:68)
>>>>>         at 
>>>>> com.google.protobuf_spark.CodedInputStream.readTag(CodedInputStream.java:108)
>>>>>         at 
>>>>> akka.remote.WireFormats$AkkaProtocolMessage$Builder.mergeFrom(WireFormats.java:5410)
>>>>>         at 
>>>>> akka.remote.WireFormats$AkkaProtocolMessage$Builder.mergeFrom(WireFormats.java:5275)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessage$Builder.mergeFrom(AbstractMessage.java:300)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessage$Builder.mergeFrom(AbstractMessage.java:238)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessageLite$Builder.mergeFrom(AbstractMessageLite.java:162)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessage$Builder.mergeFrom(AbstractMessage.java:716)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessage$Builder.mergeFrom(AbstractMessage.java:238)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessageLite$Builder.mergeFrom(AbstractMessageLite.java:153)
>>>>>         at 
>>>>> com.google.protobuf_spark.AbstractMessage$Builder.mergeFrom(AbstractMessage.java:709)
>>>>>         at 
>>>>> akka.remote.WireFormats$AkkaProtocolMessage.parseFrom(WireFormats.java:5209)
>>>>>         at 
>>>>> akka.remote.transport.AkkaPduProtobufCodec$.decodePdu(AkkaPduCodec.scala:168)
>>>>>         ... 17 more
>>>>> 
>>>>> Regards,
>>>>> 
>>>>> Brian
> 

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