无法连接到spark master：InvalidClassException：org.apache.spark.rpc.RpcEndpointRef; 本地类不兼容

1. 我在Linux机器上安装了Spark。 版本是spark-1.6.2-bin-hadoop2.6.tgz。
2. 然后我使用./sbin/start-all.sh启动Spark

3. 我试图在Eclipse中运行JavaWordCount.java示例。 但总是失败。 有人可以帮助我吗？

4. Spark Master的版本是：欢迎使用版本1.6.2，使用Scala版本2.10.5（Java HotSpot（TM）Server VM，Java 1.8.0_101），Eclipse上的Spark版本是：

例外情况如下：

16/07/25 12:01:20 INFO StandaloneAppClient$ClientEndpoint: Connecting to master spark:// hostname:7077... 16/07/25 12:01:20 WARN StandaloneAppClient$ClientEndpoint: Failed to connect to master hostname:7077 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:33) 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:162) at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83) at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:88) at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:96) at org.apache.spark.deploy.client.StandaloneAppClient$ClientEndpoint$$anonfun$tryRegisterAllMasters$1$$anon$1.run(StandaloneAppClient.scala:109) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) at java.util.concurrent.FutureTask.run(FutureTask.java:266) 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.lang.RuntimeException: java.io.InvalidClassException: org.apache.spark.rpc.RpcEndpointRef; local class incompatible: stream classdesc serialVersionUID = -1223633663228316618, local class serialVersionUID = 18257903091306170 at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:616) at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1630) at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1521) at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1630) at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1521) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1781) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353) at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:2018) at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1942) at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1808) at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1353) at java.io.ObjectInputStream.readObject(ObjectInputStream.java:373) at org.apache.spark.serializer.JavaDeserializationStream.readObject(JavaSerializer.scala:76) at org.apache.spark.serializer.JavaSerializerInstance.deserialize(JavaSerializer.scala:109) at org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1$$anonfun$apply$1.apply(NettyRpcEnv.scala:258) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:310) at org.apache.spark.rpc.netty.NettyRpcEnv$$anonfun$deserialize$1.apply(NettyRpcEnv.scala:257) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at org.apache.spark.rpc.netty.NettyRpcEnv.deserialize(NettyRpcEnv.scala:256) at org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:588) at org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:570) at org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:149) at org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:102) at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:104) at org.apache.spark.network.server.TransportChannelHandler.channelRead0(TransportChannelHandler.java:51) at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294) at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:266) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294) at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) 

Answer 1

此问题是由版本不匹配引起的。 我尝试安装hadoop并使用spark-assembly-1.6.2-hadoop2.6.0.jar，现在工作正常。