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 >> <mailto:brianbl...@gmail.com>> wrote: >> >> Hi >> >> I am following this guide (http://zeppelin.apache.org/download.html >> <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 >> <http://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 <http://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 >> <http://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 >> <http://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 >> <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 >> <http://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 >> <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 >> <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 >> <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 >> <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 >> <http://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 >> <http://10.1.4.190:7077/> >> java.io.IOException: Connection from ip-10-1-4-190/10.1.4.190:7077 >> <http://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 >> <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 >> <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 >> <http://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 >> <http://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 >> <http://10.1.4.190:7077/> >> java.io.IOException: Failed to send RPC 4955841159714871653 to >> ip-10-1-4-190/10.1.4.190:7077 <http://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 >> <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 >> <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 >> <http://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 >> <http://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 >> <http://10.1.4.190:7077/> >> java.io.IOException: Failed to send RPC 4693556837279618360 to >> ip-10-1-4-190/10.1.4.190:7077 <http://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 >
