Hi All I am using SparkStreaming..
public class SparkStreaming{ SparkConf sparkConf = new SparkConf().setAppName("Sales"); JavaStreamingContext jssc = new JavaStreamingContext(sparkConf, new Duration(5000)); String chkPntDir = ""; //get checkpoint dir jssc.checkpoint(chkPntDir); JavaSpark jSpark = new JavaSpark(); //this is where i have the business logic JavaStreamingContext newJSC = jSpark.callTest(jssc); newJSC.start(); newJSC.awaitTermination(); } where public class JavaSpark implements Serializable{ public JavaStreamingContext callTest(JavaStreamingContext){ logic goes here } } is working fine But i try getOrCreate as i want spark streaming to run 24/7 JavaStreamingContextFactory contextFactory = new JavaStreamingContextFactory() { @Override public JavaStreamingContext create() { SparkConf sparkConf = new SparkConf().setAppName(appName).setMaster(master); JavaStreamingContext jssc = new JavaStreamingContext(sparkConf, new Duration(5000)); jssc.checkpoint("checkpointDir"); JavaSpark js = new JavaSpark(); JavaStreamingContext newJssc = js.callTest(jssc);// This is where all the logic is return newJssc; } JavaStreamingContext context = JavaStreamingContext.getOrCreate(checkPointDir, contextFactory); context.start(); context.awaitTermination(); Not working 14/11/04 19:40:37 ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up. Exception in thread "Thread-37" org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1234) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) 14/11/04 19:40:37 ERROR JobScheduler: Error running job streaming job 1415110180000 ms.0 org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033) Please help me out. Earlier the biz logic was inside the ContextFactory but i got org.apache.spark.SparkException: Job aborted due to stage failure: Task not serializable: java.io.NotSerializableException: com.zoho.zbi.spark.PaymentStreaming$1 Then i added private static final long serialVersionUID = -5751968749110204082L; in all the method dint work either Got 14/11/04 19:40:37 ERROR SparkDeploySchedulerBackend: Application has been killed. Reason: All masters are unresponsive! Giving up. Exception in thread "Thread-37" org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1031) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1031) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:635) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:635) at org.apache.spark.scheduler.DAGSchedulerEventProcessActor$$anonfun$receive$2.applyOrElse(DAGScheduler.scala:1234) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:386) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) 14/11/04 19:40:37 ERROR JobScheduler: Error running job streaming job 1415110180000 ms.0 org.apache.spark.SparkException: Job aborted due to stage failure: All masters are unresponsive! Giving up. at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1049) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1033) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-Streaming-getOrCreate-tp18060.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