Thanks, I missed that one. From: Marcelo Vanzin [mailto:van...@cloudera.com] Sent: Tuesday, October 13, 2015 2:36 PM To: Ellafi, Saif A. Cc: user@spark.apache.org Subject: Re: Spark shuffle service does not work in stand alone
You have to manually start the shuffle service if you're not running YARN. See the "sbin/start-shuffle-service.sh" script. On Tue, Oct 13, 2015 at 10:29 AM, <saif.a.ell...@wellsfargo.com<mailto:saif.a.ell...@wellsfargo.com>> wrote: I believe the confusion here is self-answered. The thing is that in the documentation, the spark shuffle service runs only under YARN, while here we are speaking about a stand alone cluster. The proper question is, how to launch a shuffle service for stand alone? Saif From: saif.a.ell...@wellsfargo.com<mailto:saif.a.ell...@wellsfargo.com> [mailto:saif.a.ell...@wellsfargo.com<mailto:saif.a.ell...@wellsfargo.com>] Sent: Tuesday, October 13, 2015 2:25 PM To: van...@cloudera.com<mailto:van...@cloudera.com> Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: RE: Spark shuffle service does not work in stand alone Hi, thanks Executors are simply failing to connect to a shuffle server: 15/10/13 08:29:34 INFO BlockManagerMaster: Registered BlockManager 15/10/13 08:29:34 INFO BlockManager: Registering executor with local external shuffle service. 15/10/13 08:29:34 ERROR BlockManager: Failed to connect to external shuffle server, will retry 2 more times after waiting 5 seconds... java.io.IOException: Failed to connect to /162.xxx.zzz.yy:port at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:193) at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:156) at org.apache.spark.network.shuffle.ExternalShuffleClient.registerWithShuffleServer(ExternalShuffleClient.java:140) at org.apache.spark.storage.BlockManager$$anonfun$registerWithExternalShuffleServer$1.apply$mcVI$sp(BlockManager.scala:220) at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141) at org.apache.spark.storage.BlockManager.registerWithExternalShuffleServer(BlockManager.scala:217) at org.apache.spark.storage.BlockManager.initialize(BlockManager.scala:203) at org.apache.spark.executor.Executor.<init>(Executor.scala:85) at org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$receive$1.applyOrElse(CoarseGrainedExecutorBackend.scala:86) at org.apache.spark.rpc.akka.AkkaRpcEnv.org<http://org.apache.spark.rpc.akka.AkkaRpcEnv.org>$apache$spark$rpc$akka$AkkaRpcEnv$$processMessage(AkkaRpcEnv.scala:177) at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1$$anonfun$receiveWithLogging$1$$anonfun$applyOrElse$4.apply$mcV$sp(AkkaRpcEnv.scala:126) at org.apache.spark.rpc.akka.AkkaRpcEnv.org<http://org.apache.spark.rpc.akka.AkkaRpcEnv.org>$apache$spark$rpc$akka$AkkaRpcEnv$$safelyCall(AkkaRpcEnv.scala:197) at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1$$anonfun$receiveWithLogging$1.applyOrElse(AkkaRpcEnv.scala:125) at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33) at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33) at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25) at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:59) at org.apache.spark.util.ActorLogReceive$$anon$1.apply(ActorLogReceive.scala:42) at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118) at org.apache.spark.util.ActorLogReceive$$anon$1.applyOrElse(ActorLogReceive.scala:42) at akka.actor.Actor$class.aroundReceive(Actor.scala:467) at org.apache.spark.rpc.akka.AkkaRpcEnv$$anonfun$actorRef$lzycompute$1$1$$anon$1.aroundReceive(AkkaRpcEnv.scala:92) at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516) at akka.actor.ActorCell.invoke(ActorCell.scala:487) at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:238) at akka.dispatch.Mailbox.run(Mailbox.scala:220) at akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397) at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339) at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) Caused by: java.net.ConnectException: Connection refused: /162.xxx.zzz.yy:port at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method) at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717) at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224) at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289) at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528) at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111) at java.lang.Thread.run(Thread.java:745) From: Marcelo Vanzin [mailto:van...@cloudera.com] Sent: Tuesday, October 13, 2015 1:13 PM To: Ellafi, Saif A. Cc: user@spark.apache.org<mailto:user@spark.apache.org> Subject: Re: Spark shuffle service does not work in stand alone It would probably be more helpful if you looked for the executor error and posted it. The screenshot you posted is the driver exception caused by the task failure, which is not terribly useful. On Tue, Oct 13, 2015 at 7:23 AM, <saif.a.ell...@wellsfargo.com<mailto:saif.a.ell...@wellsfargo.com>> wrote: Has anyone tried shuffle service in Stand Alone cluster mode? I want to enable it for d.a. but my jobs never start when I submit them. This happens with all my jobs. [cid:image001.jpg@01D105C6.5033CA90] 15/10/13 08:29:45 INFO DAGScheduler: Job 0 failed: json at DataLoader.scala:86, took 16.318615 s Exception in thread "main" org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 7, 162.101.194.47): ExecutorLostFailure (executor 4 lost) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org<http://org.apache.spark.scheduler.DAGScheduler.org>$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1283) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1271) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1270) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1270) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1496) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1447) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1822) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1942) at org.apache.spark.rdd.RDD$$anonfun$reduce$1.apply(RDD.scala:1003) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) at org.apache.spark.rdd.RDD.reduce(RDD.scala:985) at org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1.apply(RDD.scala:1114) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108) at org.apache.spark.rdd.RDD.withScope(RDD.scala:306) at org.apache.spark.rdd.RDD.treeAggregate(RDD.scala:1091) at org.apache.spark.sql.execution.datasources.json.InferSchema$.apply(InferSchema.scala:58) at org.apache.spark.sql.execution.datasources.json.JSONRelation$$anonfun$6.apply(JSONRelation.scala:105) at org.apache.spark.sql.execution.datasources.json.JSONRelation$$anonfun$6.apply(JSONRelation.scala:100) at scala.Option.getOrElse(Option.scala:120) at org.apache.spark.sql.execution.datasources.json.JSONRelation.dataSchema$lzycompute(JSONRelation.scala:100) at org.apache.spark.sql.execution.datasources.json.JSONRelation.dataSchema(JSONRelation.scala:99) at org.apache.spark.sql.sources.HadoopFsRelation.schema$lzycompute(interfaces.scala:561) at org.apache.spark.sql.sources.HadoopFsRelation.schema(interfaces.scala:560) at org.apache.spark.sql.execution.datasources.LogicalRelation.<init>(LogicalRelation.scala:31) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:120) at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:104) at org.apache.spark.sql.DataFrameReader.json(DataFrameReader.scala:219) at org.apache.saif.loaders.DataLoader$.load_json(DataLoader.scala:86) -- Marcelo -- Marcelo
