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
On Mon, Feb 24, 2014 at 6:57 PM, Soumya Simanta <soumya.sima...@gmail.com>wrote:
> 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)
>
