Hi, Do you use a external cluster? what kind? I occurs this similar error which is about serialisation when I test spark on mesos cluster. My problem was a version issue. The version of spark driver and executors which I set from spark.executor.uri are different. Could you please let me know your cluster environment?
Regards, JL On Tue, Feb 24, 2015 at 7:07 AM, [email protected] <[email protected]> wrote: > Hi, > > I am using zeppelin to integrate with DeepSparkContext. I am able to build > zeppelin with independent spark cluster of 1.1.1 version. And gave Spark > Master URL in conf/zeppelin-env.sh. Using the same procedure, I am trying > to integrate zeppelin with deepsparkcontext. Where Startio DeepSparkContext > which internally provides the SparkContext and creates the spark cluster. > Now I have given spark's master url in zeppelin-env.sh. It was ablt to > build it. and able to get the notebook and sc.version also working. I mean > if i open a notebook and type sc.version, I am getting the result as 1.1.1. > So scala is working, but if run any RDD and spark operations like as > follows, I am having troubles. > > > val bankText99 = > sc.TextFile("/home/dev004/try/Zeppelin_dev/bank/bank-full.csv") > > bankText99.count > > > Here is my logs.. > > > bankText99: org.apache.spark.rdd.RDD[String] = > /home/dev004/try/Zeppelin_dev/bank/bank-full.csv MappedRDD[3] at textFile > at <console>:19 org.apache.spark.SparkException: Job aborted due to stage > failure: Task 1 in stage 0.0 failed 4 times, most recent failure: Lost task > 1.3 in stage 0.0 (TID 5, averie001-edt-loc): > java.lang.IllegalStateException: unread block data > java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421) > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382) > java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990) > java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915) > java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798) > java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350) > java.io.ObjectInputStream.readObject(ObjectInputStream.java:370) > org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:62) > org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:87) > org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:160) > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615) > java.lang.Thread.run(Thread.java:745) Driver stacktrace: at > org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1185) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1174) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1173) > at > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at > org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1173) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) > at > org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:688) > at scala.Option.foreach(Option.scala:236) at > org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:688) > at > org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1391) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at > akka.actor.ActorCell.invoke(ActorCell.scala:456) at > akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at > akka.dispatch.Mailbox.run(Mailbox.scala:219) at > akka.dispatch.ForkJoinExecutorConfigurator$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) > > > I dont know what is happening. I tried to change the sparkContext with > deepSparkContext in the code, but getting lot other errors. Please give me > some help on this. I am struck on this from one month. > > > Looking forward for a quick support. > > > > *Maruthi Donthi* > *Java Developer* > [image: aeverie-logo-med-res- signature size] > *250 Parkway Drive Suite 150* > *Lincolnshire, Illinois 60069* > *203-218-6949(M)* > *[email protected] <[email protected]>* > > *http://www.aeverie.com/ <http://www.aeverie.com/> * > -- 이종열, Jongyoul Lee, 李宗烈 http://madeng.net
