I'm playing with a modified version of the TwitterPopularTags example and when I tried to submit the job to my cluster, workers keep dying with this message:
14/06/16 17:11:16 INFO DriverRunner: Launch Command: "java" "-cp" "/opt/spark-1.0.0-bin-hadoop1/work/driver-20140616171115-0014/spark-test-0.1-SNAPSHOT.jar:::/opt/spark-1.0.0-bin-hadoop1/conf:/opt/spark-1.0.0-bin-hadoop1/lib/spark-assembly-1.0.0-hadoop1.0.4.jar" "-XX:MaxPermSize=128m" "-Xms512M" "-Xmx512M" "org.apache.spark.deploy.worker.DriverWrapper" "akka.tcp://sparkWorker@int-spark-worker:51676/user/Worker" "org.apache.spark.examples.streaming.TwitterPopularTags" 14/06/16 17:11:17 ERROR OneForOneStrategy: FAILED (of class scala.Enumeration$Val) scala.MatchError: FAILED (of class scala.Enumeration$Val) at org.apache.spark.deploy.worker.Worker$$anonfun$receive$1.applyOrElse(Worker.scala:317) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) at akka.actor.ActorCell.invoke(ActorCell.scala:456) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) at akka.dispatch.Mailbox.run(Mailbox.scala:219) at akka.dispatch.ForkJoinExecutorConfigurator$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) 14/06/16 17:11:17 INFO Worker: Starting Spark worker int-spark-app-ie005d6a3.mclabs.io:51676 with 2 cores, 6.5 GB RAM 14/06/16 17:11:17 INFO Worker: Spark home: /opt/spark-1.0.0-bin-hadoop1 14/06/16 17:11:17 INFO WorkerWebUI: Started WorkerWebUI at http://int-spark-app-ie005d6a3.mclabs.io:8081 14/06/16 17:11:17 INFO Worker: Connecting to master spark://int-spark-app-ie005d6a3.mclabs.io:7077... 14/06/16 17:11:17 ERROR Worker: Worker registration failed: Attempted to re-register worker at same address: akka.tcp:// sparkwor...@int-spark-app-ie005d6a3.mclabs.io:51676 This happens when the worker receive a DriverStateChanged(driverId, state, exception) message. To deploy the job I copied the jar file to the temporary folder of master node and execute the following command: ./spark-submit \ --class org.apache.spark.examples.streaming.TwitterPopularTags \ --master spark://int-spark-master:7077 \ --deploy-mode cluster \ file:///tmp/spark-test-0.1-SNAPSHOT.jar I don't really know what the problem could be as there is a 'case _' that should avoid that problem :S
