Re: Filter on Date by comparing

[Ewen Cheslack-Postava]

Or use RDD.filterWith to create whatever you need out of serializable parts so you only run it once per partition. Andrew Ash February 24, 2014 at 7:17 PM This is because Joda's DateTimeFormatter is not serializable (doesn't implement the empty Serializable interface) http://joda-time.sourceforge.net/apidocs/org/joda/time/format/DateTimeFormat.html One ugly thing I've done before is to instantiate a new DateTimeFormatter in every line, so like this: myRDD.filter(x => DateTimeFormat.forPattern("YYYY-mm-dd").parseString(x.getCreatedAt).isAfter(start) ).count It's very inefficient but it gets things closer to working. Another thing to try is to switch to using Kryo serialization instead of the default Java serialization, which I think did handle DTF formatting correctly.  Back in 0.7.x days though, there was an issue where some of the Joda libraries wouldn't correctly serialize with Kryo, but I think that's since been fixed: https://groups.google.com/forum/#!topic/cascalog-user/35cdnNIamKU HTH, Andrew Soumya Simanta February 24, 2014 at 6:57 PM 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)