关于spark-submit 使用yarn-client客户端提交spark任务的问题

rpc连接超时

17/07/13 16:18:48 WARN NettyRpcEndpointRef: Error sending message [message = AMRegisted(enjoyor4,container_e02_1499931395900_0009_01_000001,26009,admin)] in 1 attempts

org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
        at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
        at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
        at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
        at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
        at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:185)
        at scala.util.Try$.apply(Try.scala:161)
        at scala.util.Failure.recover(Try.scala:185)
        at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
        at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
        at org.spark-project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
        at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
        at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
        at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
        at scala.concurrent.Promise$class.complete(Promise.scala:55)
        at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
        at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
        at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.processBatch$1(Future.scala:643)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply$mcV$sp(Future.scala:658)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
        at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch.run(Future.scala:634)
        at scala.concurrent.Future$InternalCallbackExecutor$.scala$concurrent$Future$InternalCallbackExecutor$$unbatchedExecute(Future.scala:694)
        at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:685)
        at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
        at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
        at scala.concurrent.Promise$class.tryFailure(Promise.scala:115)
        at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153)
        at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:225)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 120 seconds
        at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:226)
        ... 7 more
17/07/13 16:18:49 WARN NettyRpcEndpointRef: Error sending message [message = RegisterBlockManager(BlockManagerId(driver, 192.168.56.119, 23159),280248975,NettyRpcEndpointRef(spark://BlockManagerEndpoint1@192.168.56.119:23403))] in 1 attempts
org.apache.spark.rpc.RpcTimeoutException: Cannot receive any reply in 120 seconds. This timeout is controlled by spark.rpc.askTimeout
        at org.apache.spark.rpc.RpcTimeout.org$apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:48)
        at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:63)
        at org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
        at scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:33)
        at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:185)
        at scala.util.Try$.apply(Try.scala:161)
        at scala.util.Failure.recover(Try.scala:185)
        at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
        at scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:324)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
        at org.spark-project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293)
        at scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:133)
        at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
        at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
        at scala.concurrent.Promise$class.complete(Promise.scala:55)
        at scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:153)
        at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
        at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
        at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.processBatch$1(Future.scala:643)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply$mcV$sp(Future.scala:658)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch$$anonfun$run$1.apply(Future.scala:635)
        at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
        at scala.concurrent.Future$InternalCallbackExecutor$Batch.run(Future.scala:634)
        at scala.concurrent.Future$InternalCallbackExecutor$.scala$concurrent$Future$InternalCallbackExecutor$$unbatchedExecute(Future.scala:694)
        at scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:685)
        at scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
        at scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
        at scala.concurrent.Promise$class.tryFailure(Promise.scala:115)
        at scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:153)
        at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:225)
        at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)
        at java.util.concurrent.FutureTask.run(FutureTask.java:266)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180)
        at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply in 120 seconds
        at org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:226)

        ... 7 more

解决：

首先查看你的客户机是否是单核，此问题有可能是因为你的虚拟机的硬件问题

一： 更改你的虚拟机处理器改为多核的。

二： 在你spark客户端的conf目录中的 spark-defaults.conf 配置文件中加上这个参数 spark.rpc.netty.dispatcher.numThreads=2 即可解决