I am using the following code segment :
countPerWindow.foreachRDD(new Function<JavaPairRDD<String, Long>, Void>()
{
@Override
public Void call(JavaPairRDD<String, Long> rdd) throws Exception
{
Comparator<Tuple2<String,Long>> comp = new
Comparator<Tuple2<String,Long> >()
{
public int compare(Tuple2<String,Long> tupleA,
Tuple2<String,Long> tupleB)
{
return 1-tupleA._2.compareTo(tupleB._2);
}
};
List<scala.Tuple2<String,Long>> top = rdd.top(5,comp); //
creating error
System.out.println("Top 5 are : ");
for(int i=0;i<top.size();++i)
{
System.out.println(top.get(i)._2 + " " + top.get(i)._1);
}
return null;
}
});
}
I am getting the following error related to serialisation :
org.apache.spark.SparkException: Job aborted: Task not serializable:
java.io.NotSerializableException
Detailed Error :
INFO org.apache.spark.scheduler.DAGScheduler - Failed to run top at
OptimisingSort.java:173
2014-06-03 13:10:57,180 [spark-akka.actor.default-dispatcher-14] ERROR
org.apache.spark.streaming.scheduler.JobScheduler - Error running job
streaming job 1401801057000 ms.2
org.apache.spark.SparkException: Job aborted: Task not serializable:
java.io.NotSerializableException: OptimisingSort$6$1
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)
How can I remove this error ?
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