I'm trying to run a local driver (on a development machine) and have this
driver communicate with the Spark master and workers however I'm having a
few problems getting the driver to connect and run a simple job from within
an IDE.
It all looks like it works but when I try to do something simple like a
count it falls over with a *java.lang.IllegalStateException: unread block
data*.
*The stack-trace: *
14/08/05 17:09:48 WARN TaskSetManager: Lost TID 3 (task 0.0:0)
14/08/05 17:09:48 INFO TaskSetManager: Loss was due to
java.lang.IllegalStateException: unread block data [duplicate 3]
14/08/05 17:09:48 ERROR TaskSetManager: Task 0.0:0 failed 4 times; aborting
job
14/08/05 17:09:48 INFO TaskSchedulerImpl: Removed TaskSet 0.0, whose tasks
have all completed, from pool
14/08/05 17:09:48 INFO TaskSchedulerImpl: Cancelling stage 0
14/08/05 17:09:48 INFO DAGScheduler: Failed to run runJob at
basicOperators.scala:136
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 0.0:0 failed 4 times, most recent failure: Exception
failure in TID 3 on host hadoop-004: java.lang.IllegalStateException: unread
block data
java.io.ObjectInputStream$BlockDataInputStream.setBlockDataMode(ObjectInputStream.java:2421)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1382)
java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.scheduler.ResultTask.readExternal(ResultTask.scala:148)
java.io.ObjectInputStream.readExternalData(ObjectInputStream.java:1837)
java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1796)
java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
java.io.ObjectInputStream.readObject(ObjectInputStream.java:370)
org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:63)
org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:85)
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:169)
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
java.lang.Thread.run(Thread.java:744)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1046)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1030)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1028)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1028)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:632)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:632)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:632)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1231)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498)
at akka.actor.ActorCell.invoke(ActorCell.scala:456)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237)
at akka.dispatch.Mailbox.run(Mailbox.scala:219)
at
akka.dispatch.ForkJoinExecutorConfigurator$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)
05/08/2014 5:09:45 PM INFO: parquet.hadoop.ParquetInputFormat: Total input
paths to process : 1
05/08/2014 5:09:45 PM INFO: parquet.hadoop.ParquetFileReader: reading
another 1 footers
Some error on socket 3168
Any ideas where I've gone wrong?
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