What does your saveRDD contain? If you are using custom objects, they should be serializable.
Best Regards, Sonal Nube Technologies <http://www.nubetech.co> <http://in.linkedin.com/in/sonalgoyal> On Sat, Mar 29, 2014 at 12:02 AM, pradeeps8 <srinivasa.prad...@gmail.com>wrote: > Hi Aureliano, > > I followed this thread to create a custom saveAsObjectFile. > The following is the code. > /new org.apache.spark.rdd.SequenceFileRDDFunctions[NullWritable, > BytesWritable](saveRDD.mapPartitions(iter => > iter.grouped(10).map(_.toArray)).map(x => (NullWritable.get(), new > BytesWritable(serialize(x))))).saveAsSequenceFile("objFiles") / > > But, I get the following error when executed. > / > org.apache.spark.SparkException: Job aborted: Task not serializable: > java.io.NotSerializableException: org.apache.hadoop.mapred.JobConf > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1028) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$org$apache$spark$scheduler$DAGScheduler$$abortStage$1.apply(DAGScheduler.scala:1026) > at > > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) > at > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) > at > org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$abortStage(DAGScheduler.scala:1026) > at > org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$submitMissingTasks(DAGScheduler.scala:794) > at > org.apache.spark.scheduler.DAGScheduler.org > $apache$spark$scheduler$DAGScheduler$$submitStage(DAGScheduler.scala:737) > at > > org.apache.spark.scheduler.DAGScheduler.processEvent(DAGScheduler.scala:569) > at > > org.apache.spark.scheduler.DAGScheduler$$anonfun$start$1$$anon$2$$anonfun$receive$1.applyOrElse(DAGScheduler.scala:207) > at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) > at akka.actor.ActorCell.invoke(ActorCell.scala:456) > at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) > at akka.dispatch.Mailbox.run(Mailbox.scala:219) > at > > akka.dispatch.ForkJoinExecutorConfigurator$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) > / > > Any idea about this error? > or > Is there anything wrong in the line of code? > > Thanks, > Pradeep > > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/SequenceFileRDDFunctions-cannot-be-used-output-of-spark-package-tp250p3442.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. >
