I have the following code:
SparkConf conf = new
SparkConf().setAppName("streamer").setMaster("local[2]");
conf.set("spark.driver.allowMultipleContexts", "true");
JavaStreamingContext ssc = new JavaStreamingContext(conf, new
Duration(batch_interval));
ssc.checkpoint("/tmp/spark/checkpoint");
SparkConf conf2 = new
SparkConf().setAppName("classifier").setMaster("local[1]");
conf2.set("spark.driver.allowMultipleContexts", "true");
JavaSparkContext sc = new JavaSparkContext(conf);
JavaReceiverInputDStream<String> stream =
ssc.socketTextStream("localhost", 9999);
// String to Tuple3 Conversion
JavaDStream<Tuple3<Long, String, String>> tuple_stream =
stream.map(new Function<String, Tuple3<Long, String, String>>() {
... });
JavaPairDStream<Integer, DictionaryEntry> raw_dictionary_stream =
tuple_stream.filter(new Function<Tuple3<Long, String,String>, Boolean>()
{
@Override
public Boolean call(Tuple3<Long, String,String> tuple)
throws Exception {
if((tuple._1()/Time.scaling_factor %
training_interval) > training_dur)
NaiveBayes.train(sc.parallelize(training_set).rdd());
return true;
}
}).
I am working on a text mining project and I want to use NaiveBayesClassifier
of MLlib to classify some stream items. So, I have two Spark contexts one of
which is a streaming context. The call to NaiveBayes.train causes the
following exception.
Any ideas?
Exception in thread "main" org.apache.spark.SparkException: Job aborted due
to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure:
Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.ClassCastException:
org.apache.spark.SparkContext$$anonfun$runJob$4 cannot be cast to
org.apache.spark.ShuffleDependency
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:60)
at
org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
at org.apache.spark.scheduler.Task.run(Task.scala:56)
at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Driver stacktrace:
at
org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1214)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1203)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1202)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at
scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
at
org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1202)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:696)
at scala.Option.foreach(Option.scala:236)
at
org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:696)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1420)
at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
at
org.apache.spark.scheduler.DAGSchedulerEventProcessActor.aroundReceive(DAGScheduler.scala:1375)
at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
at akka.actor.ActorCell.invoke(ActorCell.scala:487)
at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238)
at akka.dispatch.Mailbox.run(Mailbox.scala:220)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:393)
at
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
scala.concurrent.forkjoin.ForkJoinPool$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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