I want to filter a RDD by comparing dates.

myRDD.filter( x => new DateTime(x.getCreatedAt).isAfter(start) ).count


I'm using the JodaTime library but I get an exception about a Jodatime
class not serializable.

Is there a way to configure this or an easier alternative for this problem.


org.apache.spark.SparkException: Job aborted: Task not serializable:
java.io.NotSerializableException: org.joda.time.format.DateTimeFormatter

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)

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