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) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/NaiveBayes-classifier-causes-ShuffleDependency-class-cast-exception-tp21529.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org