spark on yarn提交任务时报ClosedChannelException解决方案
spark2.1出来了，想玩玩就搭了个原生的apache集群，但在standalone模式下没有任何问题，基于apache hadoop 2.7.3使用spark on yarn一直报这个错。(Java 8)
报错日志如下：
Warning: Master yarn-client is deprecated since 2.0. Please use master "yarn" with specified deploy mode instead.
// :: INFO spark.SparkContext: Running Spark version 2.1.
// :: WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
// :: INFO spark.SecurityManager: Changing view acls to: root
// :: INFO spark.SecurityManager: Changing modify acls to: root
// :: INFO spark.SecurityManager: Changing view acls groups to:
// :: INFO spark.SecurityManager: Changing modify acls groups to:
// :: INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
// :: INFO util.Utils: Successfully started service 'sparkDriver' on port .
// :: INFO spark.SparkEnv: Registering MapOutputTracker
// :: INFO spark.SparkEnv: Registering BlockManagerMaster
// :: INFO storage.BlockManagerMasterEndpoint: Using org.apache.spark.storage.DefaultTopologyMapper for getting topology information
// :: INFO storage.BlockManagerMasterEndpoint: BlockManagerMasterEndpoint up
// :: INFO storage.DiskBlockManager: Created local directory at /opt/program/spark-2.1.-bin-hadoop2./blockmgr-b04fc6c2-501f-4df4-ae13-f6fb0aaa6470
// :: INFO memory.MemoryStore: MemoryStore started with capacity 366.3 MB
// :: INFO spark.SparkEnv: Registering OutputCommitCoordinator
// :: INFO util.log: Logging initialized @2406ms
// :: INFO server.Server: jetty-9.2.z-SNAPSHOT
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@64712be{/jobs,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@53499d85{/jobs/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@30ed9c6c{/jobs/job,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@782a4fff{/jobs/job/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@46c670a6{/stages,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@59fc684e{/stages/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5ae81e1{/stages/stage,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2fd1731c{/stages/stage/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@5ae76500{/stages/pool,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6063d80a{/stages/pool/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1133ec6e{/storage,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@355e34c7{/storage/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@{/storage/rdd,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2a2da905{/storage/rdd/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@24f360b2{/environment,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@60cf80e7{/environment/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@302fec27{/executors,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@770d0ea6{/executors/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@48c40605{/executors/threadDump,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@54107f42{/executors/threadDump/json,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@1b11ef33{/static,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@476aac9{/,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@6cea706c{/api,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@3bd7f8dc{/jobs/job/kill,null,AVAILABLE}
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@2f2bf0e2{/stages/stage/kill,null,AVAILABLE}
// :: INFO server.ServerConnector: Started ServerConnector@780ec4a5{HTTP/1.1}{0.0.0.0:}
// :: INFO server.Server: Started @2508ms
// :: INFO util.Utils: Successfully started service 'SparkUI' on port .
// :: INFO ui.SparkUI: Bound SparkUI to 0.0.0.0, and started at http://192.168.56.101:4040
// :: INFO spark.SparkContext: Added JAR file:/opt/spark/examples/jars/spark-examples_2.-2.1..jar at spark://192.168.56.101:59775/jars/spark-examples_2.11-2.1.0.jar with timestamp 1485792732176
// :: INFO client.RMProxy: Connecting to ResourceManager at node01/192.168.56.101:
// :: INFO yarn.Client: Requesting a new application from cluster with NodeManagers
// :: INFO yarn.Client: Verifying our application has not requested more than the maximum memory capability of the cluster ( MB per container)
// :: INFO yarn.Client: Will allocate AM container, with MB memory including MB overhead
// :: INFO yarn.Client: Setting up container launch context for our AM
// :: INFO yarn.Client: Setting up the launch environment for our AM container
// :: INFO yarn.Client: Preparing resources for our AM container
// :: WARN yarn.Client: Neither spark.yarn.jars nor spark.yarn.archive is set, falling back to uploading libraries under SPARK_HOME.
// :: INFO yarn.Client: Uploading resource file:/opt/program/spark-2.1.-bin-hadoop2./spark-6cafe3cb-9ed2-4f7f-b44f-a2bb447eaa30/__spark_libs__493282781411356296.zip -> hdfs://node01:9000/user/root/.sparkStaging/application_1485792095366_0003/__spark_libs__493282781411356296.zip
// :: INFO yarn.Client: Uploading resource file:/opt/program/spark-2.1.-bin-hadoop2./spark-6cafe3cb-9ed2-4f7f-b44f-a2bb447eaa30/__spark_conf__2188039824841197723.zip -> hdfs://node01:9000/user/root/.sparkStaging/application_1485792095366_0003/__spark_conf__.zip
// :: INFO spark.SecurityManager: Changing view acls to: root
// :: INFO spark.SecurityManager: Changing modify acls to: root
// :: INFO spark.SecurityManager: Changing view acls groups to:
// :: INFO spark.SecurityManager: Changing modify acls groups to:
// :: INFO spark.SecurityManager: SecurityManager: authentication disabled; ui acls disabled; users with view permissions: Set(root); groups with view permissions: Set(); users with modify permissions: Set(root); groups with modify permissions: Set()
// :: INFO yarn.Client: Submitting application application_1485792095366_0003 to ResourceManager
// :: INFO impl.YarnClientImpl: Submitted application application_1485792095366_0003
// :: INFO cluster.SchedulerExtensionServices: Starting Yarn extension services with app application_1485792095366_0003 and attemptId None
// :: INFO yarn.Client: Application report for application_1485792095366_0003 (state: ACCEPTED)
// :: INFO yarn.Client:
client token: N/A
diagnostics: N/A
ApplicationMaster host: N/A
ApplicationMaster RPC port: -
queue: default
start time:
final status: UNDEFINED
tracking URL: http://node01:8088/proxy/application_1485792095366_0003/
user: root
// :: INFO yarn.Client: Application report for application_1485792095366_0003 (state: ACCEPTED)
// :: INFO yarn.Client: Application report for application_1485792095366_0003 (state: ACCEPTED)
// :: INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
// :: INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> node01, PROXY_URI_BASES -> http://node01:8088/proxy/application_1485792095366_0003), /proxy/application_1485792095366_0003
// :: INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
// :: INFO yarn.Client: Application report for application_1485792095366_0003 (state: ACCEPTED)
// :: INFO yarn.Client: Application report for application_1485792095366_0003 (state: RUNNING)
// :: INFO yarn.Client:
client token: N/A
diagnostics: N/A
ApplicationMaster host: 192.168.56.101
ApplicationMaster RPC port:
queue: default
start time:
final status: UNDEFINED
tracking URL: http://node01:8088/proxy/application_1485792095366_0003/
user: root
// :: INFO cluster.YarnClientSchedulerBackend: Application application_1485792095366_0003 has started running.
// :: INFO util.Utils: Successfully started service 'org.apache.spark.network.netty.NettyBlockTransferService' on port .
// :: INFO netty.NettyBlockTransferService: Server created on 192.168.56.101:
// :: INFO storage.BlockManager: Using org.apache.spark.storage.RandomBlockReplicationPolicy for block replication policy
// :: INFO storage.BlockManagerMaster: Registering BlockManager BlockManagerId(driver, 192.168.56.101, , None)
// :: INFO storage.BlockManagerMasterEndpoint: Registering block manager 192.168.56.101: with 366.3 MB RAM, BlockManagerId(driver, 192.168.56.101, , None)
// :: INFO storage.BlockManagerMaster: Registered BlockManager BlockManagerId(driver, 192.168.56.101, , None)
// :: INFO storage.BlockManager: Initialized BlockManager: BlockManagerId(driver, 192.168.56.101, , None)
// :: INFO handler.ContextHandler: Started o.s.j.s.ServletContextHandler@643ba1ed{/metrics/json,null,AVAILABLE}
// :: INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Registered executor NettyRpcEndpointRef(null) (192.168.56.101:) with ID
// :: INFO storage.BlockManagerMasterEndpoint: Registering block manager node01: with 366.3 MB RAM, BlockManagerId(, node01, , None)
// :: INFO cluster.YarnSchedulerBackend$YarnDriverEndpoint: Disabling executor .
// :: INFO scheduler.DAGScheduler: Executor lost: (epoch )
// :: ERROR client.TransportClient: Failed to send RPC to /192.168.56.101:: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
// :: INFO storage.BlockManagerMasterEndpoint: Trying to remove executor from BlockManagerMaster.
// :: INFO storage.BlockManagerMasterEndpoint: Removing block manager BlockManagerId(, node01, , None)
// :: INFO storage.BlockManagerMaster: Removed successfully in removeExecutor
// :: INFO scheduler.DAGScheduler: Shuffle files lost for executor: (epoch )
// :: WARN cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Attempted to get executor loss reason for executor id at RPC address 192.168.56.101:, but got no response. Marking as slave lost.
java.io.IOException: Failed to send RPC to /192.168.56.101:: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.access$(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise$.run(DefaultPromise.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor$.run(SingleThreadEventExecutor.java:)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:)
at java.lang.Thread.run(Thread.java:)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
// :: ERROR cluster.YarnScheduler: Lost executor on node01: Slave lost
// :: INFO cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: ApplicationMaster registered as NettyRpcEndpointRef(null)
// :: INFO cluster.YarnClientSchedulerBackend: Add WebUI Filter. org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter, Map(PROXY_HOSTS -> node01, PROXY_URI_BASES -> http://node01:8088/proxy/application_1485792095366_0003), /proxy/application_1485792095366_0003
// :: INFO ui.JettyUtils: Adding filter: org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter
// :: ERROR cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!
// :: INFO server.ServerConnector: Stopped ServerConnector@780ec4a5{HTTP/1.1}{0.0.0.0:}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@2f2bf0e2{/stages/stage/kill,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@3bd7f8dc{/jobs/job/kill,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@6cea706c{/api,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@476aac9{/,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@1b11ef33{/static,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@54107f42{/executors/threadDump/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@48c40605{/executors/threadDump,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@770d0ea6{/executors/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@302fec27{/executors,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@60cf80e7{/environment/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@24f360b2{/environment,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@2a2da905{/storage/rdd/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@{/storage/rdd,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@355e34c7{/storage/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@1133ec6e{/storage,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@6063d80a{/stages/pool/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5ae76500{/stages/pool,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@2fd1731c{/stages/stage/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@5ae81e1{/stages/stage,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@59fc684e{/stages/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@46c670a6{/stages,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@782a4fff{/jobs/job/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@30ed9c6c{/jobs/job,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@53499d85{/jobs/json,null,UNAVAILABLE}
// :: INFO handler.ContextHandler: Stopped o.s.j.s.ServletContextHandler@64712be{/jobs,null,UNAVAILABLE}
// :: INFO ui.SparkUI: Stopped Spark web UI at http://192.168.56.101:4040
// :: ERROR client.TransportClient: Failed to send RPC to /192.168.56.103:: java.nio.channels.ClosedChannelException
java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
// :: 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:)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$.apply(SparkSession.scala:)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$.apply(SparkSession.scala:)
at scala.Option.getOrElse(Option.scala:)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:)
at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:)
at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
// :: ERROR cluster.YarnSchedulerBackend$YarnSchedulerEndpoint: Sending RequestExecutors(,,Map()) to AM was unsuccessful
java.io.IOException: Failed to send RPC to /192.168.56.103:: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:)
at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:)
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:)
at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext.access$(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor$.run(SingleThreadEventExecutor.java:)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:)
at java.lang.Thread.run(Thread.java:)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
// :: INFO cluster.SchedulerExtensionServices: Stopping SchedulerExtensionServices
(serviceOption=None,
services=List(),
started=false)
// :: INFO spark.SparkContext: SparkContext already stopped.
Exception in thread "main" java.lang.IllegalStateException: Spark context stopped while waiting for backend
at org.apache.spark.scheduler.TaskSchedulerImpl.waitBackendReady(TaskSchedulerImpl.scala:)
at org.apache.spark.scheduler.TaskSchedulerImpl.postStartHook(TaskSchedulerImpl.scala:)
at org.apache.spark.SparkContext.<init>(SparkContext.scala:)
at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$.apply(SparkSession.scala:)
at org.apache.spark.sql.SparkSession$Builder$$anonfun$.apply(SparkSession.scala:)
at scala.Option.getOrElse(Option.scala:)
at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:)
at org.apache.spark.examples.SparkPi$.main(SparkPi.scala:)
at org.apache.spark.examples.SparkPi.main(SparkPi.scala)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:)
at java.lang.reflect.Method.invoke(Method.java:)
at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.doRunMain$(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:)
at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
// :: ERROR util.Utils: Uncaught exception in thread Yarn application state monitor
org.apache.spark.SparkException: Exception thrown in awaitResult
at org.apache.spark.rpc.RpcTimeout$$anonfun$.applyOrElse(RpcTimeout.scala:)
at org.apache.spark.rpc.RpcTimeout$$anonfun$.applyOrElse(RpcTimeout.scala:)
at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$.applyOrElse(RpcTimeout.scala:)
at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$.applyOrElse(RpcTimeout.scala:)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:)
at org.apache.spark.scheduler.cluster.CoarseGrainedSchedulerBackend.requestTotalExecutors(CoarseGrainedSchedulerBackend.scala:)
at org.apache.spark.scheduler.cluster.YarnSchedulerBackend.stop(YarnSchedulerBackend.scala:)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.stop(YarnClientSchedulerBackend.scala:)
at org.apache.spark.scheduler.TaskSchedulerImpl.stop(TaskSchedulerImpl.scala:)
at org.apache.spark.scheduler.DAGScheduler.stop(DAGScheduler.scala:)
at org.apache.spark.SparkContext$$anonfun$stop$.apply$mcV$sp(SparkContext.scala:)
at org.apache.spark.util.Utils$.tryLogNonFatalError(Utils.scala:)
at org.apache.spark.SparkContext.stop(SparkContext.scala:)
at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend$MonitorThread.run(YarnClientSchedulerBackend.scala:)
Caused by: java.io.IOException: Failed to send RPC to /192.168.56.103:: java.nio.channels.ClosedChannelException
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at org.apache.spark.network.client.TransportClient$.operationComplete(TransportClient.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListener0(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListenersNow(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.notifyListeners(DefaultPromise.java:)
at io.netty.util.concurrent.DefaultPromise.tryFailure(DefaultPromise.java:)
at io.netty.channel.AbstractChannel$AbstractUnsafe.safeSetFailure(AbstractChannel.java:)
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(AbstractChannel.java:)
at io.netty.channel.DefaultChannelPipeline$HeadContext.write(DefaultChannelPipeline.java:)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite0(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext.invokeWrite(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext.access$(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.write(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$WriteAndFlushTask.write(AbstractChannelHandlerContext.java:)
at io.netty.channel.AbstractChannelHandlerContext$AbstractWriteTask.run(AbstractChannelHandlerContext.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor.runAllTasks(SingleThreadEventExecutor.java:)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:)
at io.netty.util.concurrent.SingleThreadEventExecutor$.run(SingleThreadEventExecutor.java:)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:)
at java.lang.Thread.run(Thread.java:)
Caused by: java.nio.channels.ClosedChannelException
at io.netty.channel.AbstractChannel$AbstractUnsafe.write(...)(Unknown Source)
// :: INFO spark.MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
// :: INFO storage.DiskBlockManager: Shutdown hook called
// :: INFO util.ShutdownHookManager: Shutdown hook called
// :: INFO memory.MemoryStore: MemoryStore cleared
// :: INFO storage.BlockManager: BlockManager stopped
// :: INFO util.ShutdownHookManager: Deleting directory /opt/program/spark-2.1.-bin-hadoop2./spark-6cafe3cb-9ed2-4f7f-b44f-a2bb447eaa30/userFiles-4be7a61f-e6ef--b896-eedb46d78dbc
// :: INFO storage.BlockManagerMaster: BlockManagerMaster stopped
// :: INFO util.ShutdownHookManager: Deleting directory /opt/program/spark-2.1.-bin-hadoop2./spark-6cafe3cb-9ed2-4f7f-b44f-a2bb447eaa30
// :: INFO scheduler.OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
// :: INFO spark.SparkContext: Successfully stopped SparkContext
解决方案：
修改yarn-site.xml，添加下列property
<property>
<name>yarn.nodemanager.pmem-check-enabled</name>
<value>false</value>
</property> <property>
<name>yarn.nodemanager.vmem-check-enabled</name>
<value>false</value>
</property>
分析：
按照上述配置提供的信息，目测是我给节点分配的内存太小，yarn直接kill掉了进程，导致ClosedChannelException
文献参考：http://stackoverflow.com/questions/38988941/running-yarn-with-spark-not-working-with-java-8
实测：不修改yarn-site.xml，换成Java 7可正常执行。
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