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Woher wissen Sie, warum ClosedChannelException mit spark-Shell im YARN-Client-Modus verwendet wird?

Ich habe versucht, spark-Shell im YARN client-Modus auszuführen, erhalte jedoch viele ClosedChannelException-Fehler. Ich verwende Spark 2.0.0 Build für Hadoop 2.6.

Hier sind die Ausnahmen:

$ 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
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   /___/ .__/\_,_/_/ /_/\_\   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.
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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
24
aks

Der Grund dafür ist, dass die Verknüpfung mit dem Garncluster möglicherweise aufgrund des Problems der Java 8 übermäßigen Speicherzuweisung verloren geht: https://issues.Apache.org/jira/browse/YARN-4714

Sie können YARN zwingen, dies zu ignorieren, indem Sie die folgenden Eigenschaften in yarn-site.xml einrichten

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

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

Dank Simplejack, Referenz von Spark Pi-Beispiel im Cluster-Modus mit Garn: Assoziation verloren

26
aks

Ich persönlich habe das gelöst, indem ich yarn.nodemanager.vmem-pmem-ratio erhöht habe, wie im Jira-Ticket vorgeschlagen von Akira Ajisaka :

<property>
    <name>yarn.nodemanager.vmem-pmem-ratio</name>
    <value>5</value>
</property>
3
hi-zir

Ich habe eine weitere Antwort erstellt, die davon abhängt, ob Sie den Spark-Client oder den Cluster-Modus verwenden. 

  • Im Cluster-Modus ist es fehlgeschlagen, als ich angegeben habe, dass Driver Memory --driver-memory 512 m ist. (Die Standardeinstellung erforderte 2 GB am-Ressourcen (dies besteht aus Treiberspeicher + angefordertem Aufwand für Application Master), was ausreichend war.)
  • Im Client-Modus war die Einstellung "spark.yarn.am.memory" von Belang, da standardmäßig nur 1024 m für den AM angefordert wurden. > 1024m schien zu funktionieren.

Antwort wird beschrieben hier

0
Andres Namm