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.