How to know what is the reason for ClosedChannelExceptions with spark-shell in YARN client mode?

Question

I have been trying to run spark-shell in YARN client mode, but I am getting a lot of ClosedChannelException errors. I am using spark 2.0.0 build for Hadoop 2.6.

Here are the exceptions :

$ spark-2.0.0-bin-hadoop2.6/bin/spark-shell --master yarn --deploy-mode client Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). 16/09/13 14:12:36 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable 16/09/13 14:12:38 WARN yarn.Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME. 16/09/13 14:12:55 ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED! 16/09/13 14:12:55 ERROR client.TransportClient: Failed to send RPC 7920194824462016141 to /172.27.1.63:41034: java.nio.channels.ClosedChannelException java.nio.channels.ClosedChannelException 16/09/13 14:12:55 ERROR spark.SparkContext: Error initializing SparkContext. java.lang.IllegalStateException: Spark context stopped while waiting for backend     at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:581)     at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:162)     at org.apache.spark.SparkContext.<init>(SparkContext.scala:549)     at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)     at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)     at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)     at scala.Option.getOrElse(Option.scala:121)     at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)     at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)     at $line3.$read$$iw$$iw.<init>(<console>:15)     at $line3.$read$$iw.<init>(<console>:31)     at $line3.$read.<init>(<console>:33)     at $line3.$read$.<init>(<console>:37)     at $line3.$read$.<clinit>(<console>)     at $line3.$eval$.$print$lzycompute(<console>:7)     at $line3.$eval$.$print(<console>:6)     at $line3.$eval.$print(<console>)     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)     at java.lang.reflect.Method.invoke(Method.java:498)     at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:786)     at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:1047)     at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:638)     at scala.tools.nsc.interpreter.IMain$WrappedRequest$$anonfun$loadAndRunReq$1.apply(IMain.scala:637)     at scala.reflect.internal.util.ScalaClassLoader$class.asContext(ScalaClassLoader.scala:31)     at scala.reflect.internal.util.AbstractFileClassLoader.asContext(AbstractFileClassLoader.scala:19)     at scala.tools.nsc.interpreter.IMain$WrappedRequest.loadAndRunReq(IMain.scala:637)     at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:569)     at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:565)     at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:807)     at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:681)     at scala.tools.nsc.interpreter.ILoop.processLine(ILoop.scala:395)     at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply$mcV$sp(SparkILoop.scala:38)     at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)     at org.apache.spark.repl.SparkILoop$$anonfun$initializeSpark$1.apply(SparkILoop.scala:37)     at scala.tools.nsc.interpreter.IMain.beQuietDuring(IMain.scala:214)     at org.apache.spark.repl.SparkILoop.initializeSpark(SparkILoop.scala:37)     at org.apache.spark.repl.SparkILoop.loadFiles(SparkILoop.scala:94)     at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:920)     at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)     at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:909)     at scala.reflect.internal.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:97)     at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:909)     at org.apache.spark.repl.Main$.doMain(Main.scala:68)     at org.apache.spark.repl.Main$.main(Main.scala:51)     at org.apache.spark.repl.Main.main(Main.scala)     at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)     at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)     at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)     at java.lang.reflect.Method.invoke(Method.java:498)     at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:729)     at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:185)     at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:210)     at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:124)     at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) 16/09/13 14:12:55 WARN netty.NettyRpcEndpointRef: Error sending message [message = RequestExecutors(0,0,Map())] in 1 attempts org.apache.spark.SparkException: Exception thrown in awaitResult     at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)     at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)     at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)     at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)     at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)     at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)     at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply$mcV$sp(YarnSchedulerBackend.scala:271)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply(YarnSchedulerBackend.scala:271)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply(YarnSchedulerBackend.scala:271)     at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)     at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) Caused by: java.io.IOException: Failed to send RPC 7920194824462016141 to /172.27.1.63:41034: java.nio.channels.ClosedChannelException     at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)     at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)     at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)     at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:567)     at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:424)     at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:801)     at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:699)     at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1122)     at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:633)     at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:32)     at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:908)     at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:960)     at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:893)     at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)     ... 1 more Caused by: java.nio.channels.ClosedChannelException java.lang.IllegalStateException: Spark context stopped while waiting for backend   at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:581)   at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:162)   at org.apache.spark.SparkContext.<init>(SparkContext.scala:549)   at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2256)   at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:831)   at org.apache.spark.sql.SparkSession$Builder$$anonfun$8.apply(SparkSession.scala:823)   at scala.Option.getOrElse(Option.scala:121)   at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:823)   at org.apache.spark.repl.Main$.createSparkSession(Main.scala:95)   ... 47 elided <console>:14: error: not found: value spark        import spark.implicits._               ^ <console>:14: error: not found: value spark        import spark.sql               ^ Welcome to       ____              __      / __/__  ___ _____/ /__     _\ \/ _ \/ _ `/ __/  '_/    /___/ .__/\_,_/_/ /_/\_\   version 2.0.0       /_/  Using Scala version 2.11.8 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_101) Type in expressions to have them evaluated. Type :help for more information.  scala> 16/09/13 14:12:59 ERROR client.TransportClient: Failed to send RPC 5797372389565173518 to /172.27.1.63:41034: java.nio.channels.ClosedChannelException 16/09/13 14:12:59 WARN netty.NettyRpcEndpointRef: Error sending message [message = RequestExecutors(0,0,Map())] in 2 attempts org.apache.spark.SparkException: Exception thrown in awaitResult     at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:77)     at org.apache.spark.rpc.RpcTimeout$$anonfun$1.applyOrElse(RpcTimeout.scala:75)     at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36)     at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)     at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)     at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)     at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:102)     at org.apache.spark.rpc.RpcEndpointRef.askWithRetry(RpcEndpointRef.scala:78)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply$mcV$sp(YarnSchedulerBackend.scala:271)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply(YarnSchedulerBackend.scala:271)     at org.apache.spark.scheduler.cluster.YarnSchedulerBackend$YarnSchedulerEndpoint$$anonfun$receiveAndReply$1$$anonfun$applyOrElse$1.apply(YarnSchedulerBackend.scala:271)     at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)     at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)     at java.lang.Thread.run(Thread.java:745) Caused by: java.io.IOException: Failed to send RPC 5797372389565173518 to /172.27.1.63:41034: java.nio.channels.ClosedChannelException     at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:239)     at org.apache.spark.network.client.TransportClient$3.operationComplete(TransportClient.java:226)     at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:680)     at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:567)     at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:424)     at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:801)     at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:699)     at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:1122)     at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:633)     at io.netty.channel.AbstractChannelHandlerContext.access$1900(AbstractChannelHandlerContext.java:32)     at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:908)     at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:960)     at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:893)     at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:357)     at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:357)     at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)     ... 1 more Caused by: java.nio.channels.ClosedChannelException 

Answer 1

Reason is association with yarn cluster may be lost due to the Java 8 excessive memory allocation issue: https://issues.apache.org/jira/browse/YARN-4714

You can force YARN to ignore this by setting up the following properties in yarn-site.xml

<property>     <name>yarn.nodemanager.pmem-check-enabled</name>     <value>false</value> </property>  <property>     <name>yarn.nodemanager.vmem-check-enabled</name>     <value>false</value> </property> 

Thanks to simplejack, Reference from Spark Pi Example in Cluster mode with Yarn: Association lost