java.lang.IllegalStateException: unread block data

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maruthi Donthi

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Feb 25, 2015, 5:19:23 PM2/25/15

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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.