I dug a bit more and the executor ID is a number so it's seems there is not possible workaround.
Looking at the code of the CoarseGrainedSchedulerBackend.scala: https://github.com/apache/spark/blob/6324eb7b5b0ae005cb2e913e36b1508bd6f1b9b8/core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala#L86 It seems there is only one DriverActor and, as the RegisterExecutor message only contains the executorID, there is a collision. I wonder if what I'm doing is wrong... basically, from the same scala application I... 1. create one actor per job. 2. send a message to each actor with configuration details to create a SparkContext/StreamingContext. 3. send a message to each actor to start the job and streaming context. 2014-09-16 13:29 GMT+01:00 Luis Ángel Vicente Sánchez < langel.gro...@gmail.com>: > When I said scheduler I meant executor backend. > > 2014-09-16 13:26 GMT+01:00 Luis Ángel Vicente Sánchez < > langel.gro...@gmail.com>: > >> It seems that, as I have a single scala application, the scheduler is the >> same and there is a collision between executors of both spark context. Is >> there a way to change how the executor ID is generated (maybe an uuid >> instead of a sequential number..?) >> >> 2014-09-16 13:07 GMT+01:00 Luis Ángel Vicente Sánchez < >> langel.gro...@gmail.com>: >> >>> I have a standalone spark cluster and from within the same scala >>> application I'm creating 2 different spark context to run two different >>> spark streaming jobs as SparkConf is different for each of them. >>> >>> I'm getting this error that... I don't really understand: >>> >>> 14/09/16 11:51:35 ERROR OneForOneStrategy: spark.httpBroadcast.uri >>>> java.util.NoSuchElementException: spark.httpBroadcast.uri >>>> at org.apache.spark.SparkConf$$anonfun$get$1.apply(SparkConf.scala:149) >>>> at org.apache.spark.SparkConf$$anonfun$get$1.apply(SparkConf.scala:149) >>>> at scala.collection.MapLike$class.getOrElse(MapLike.scala:128) >>>> at scala.collection.AbstractMap.getOrElse(Map.scala:58) >>>> at org.apache.spark.SparkConf.get(SparkConf.scala:149) >>>> at >>>> org.apache.spark.broadcast.HttpBroadcast$.initialize(HttpBroadcast.scala:130) >>>> at >>>> org.apache.spark.broadcast.HttpBroadcastFactory.initialize(HttpBroadcastFactory.scala:31) >>>> at >>>> org.apache.spark.broadcast.BroadcastManager.initialize(BroadcastManager.scala:48) >>>> at >>>> org.apache.spark.broadcast.BroadcastManager.<init>(BroadcastManager.scala:35) >>>> at org.apache.spark.SparkEnv$.create(SparkEnv.scala:218) >>>> at org.apache.spark.executor.Executor.<init>(Executor.scala:85) >>>> at >>>> org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$receive$1.applyOrElse(CoarseGrainedExecutorBackend.scala:59) >>>> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:498) >>>> at akka.actor.ActorCell.invoke(ActorCell.scala:456) >>>> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:237) >>>> at akka.dispatch.Mailbox.run(Mailbox.scala:219) >>>> at >>>> akka.dispatch.ForkJoinExecutorConfigurator$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) >>>> 14/09/16 11:51:35 ERROR CoarseGrainedExecutorBackend: Slave registration >>>> failed: Duplicate executor ID: 10 >>>> >>>> >>> Both apps has different names so I don't get how the executor ID is not >>> unique :-S >>> >>> This happens on startup and most of the time only one job dies, but >>> sometimes both of them die. >>> >>> Regards, >>> >>> Luis >>> >> >> >
