Apache spark 无法连接到spark群集中的从机

我想创建一个spark独立群集。我有两台工作站和笔记本电脑。所有人都有Ubuntu作为他们的操作系统。每个系统都有不同的用户名。 我关注这个博客。我编辑了主机文件

sudo gedit /etc/hosts

10.8.9.13 master  
10.8.19.23 slave01  
10.8.5.158 slave02 

user-name of Master: lab   
user-name of Slave01: lab-zero   
user-name of  Slave02: computer

我还生成了键值对

ssh keygen-t rsa

，并将其添加到.ssh/authorized_keys文件中。 因此，当我ssh这两台机器时，我可以不用密码登录。 但是当我运行

/start all.sh

时

lab@slave02's password: lab@slave01's password: localhost: starting org.apache.spark.deploy.worker.Worker, logging to /home/lab/Downloads/spark-2.1.1-bin-hadoop2.7/logs/spark-acs-lab-rg.apache.spark.deploy.worker.Worker-1-M1.out

它卡在这里，两个从机都使用我的默认用户名

lab

而不是远程主机的用户名（在本例中，从机的用户名：

labzero

和

计算机

）

当我检查Spark Master UI时，它会给我一个错误：

The requested URL could not be retrieved   

当我输入

/stop slaves.sh

时，它也会返回

no org.apache.spark.deploy.worker.Worker to stop

这是我的工作日志：

17/11/30 01:53:40 INFO Worker: Retrying connection to master (attempt # 16) 17/11/30 01:53:40 INFO Worker: Connecting to master
10.8.9.13:7077... 17/11/30 01:53:40 WARN Worker: Failed to connect to master 10.8.9.13:7077 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: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.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:100)  
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:108)   
at org.apache.spark.deploy.worker.Worker$$anonfun$org$apache$spark$deploy$worker$Worker$$tryRegisterAllMasters$1$$anon$1.run(Worker.scala:218)  
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511)  
at java.util.concurrent.FutureTask.run(FutureTask.java:266)     
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)  
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)  
at java.lang.Thread.run(Thread.java:748) Caused by: java.lang.RuntimeException: java.io.EOFException    
at java.io.DataInputStream.readFully(DataInputStream.java:197)  
at java.io.DataInputStream.readUTF(DataInputStream.java:609)    
at java.io.DataInputStream.readUTF(DataInputStream.java:564)    
at org.apache.spark.rpc.netty.RequestMessage$.readRpcAddress(NettyRpcEnv.scala:582)     
at org.apache.spark.rpc.netty.RequestMessage$.apply(NettyRpcEnv.scala:592)  
at org.apache.spark.rpc.netty.NettyRpcHandler.internalReceive(NettyRpcEnv.scala:651)    
at org.apache.spark.rpc.netty.NettyRpcHandler.receive(NettyRpcEnv.scala:636)    
at org.apache.spark.network.server.TransportRequestHandler.processRpcRequest(TransportRequestHandler.java:157)  
at org.apache.spark.network.server.TransportRequestHandler.handle(TransportRequestHandler.java:105)     
at org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:118)    
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)   
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:287)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)   
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)   
at org.apache.spark.network.util.TransportFrameDecoder.channelRead(TransportFrameDecoder.java:85)   
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)   
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1294)    
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)     
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:911)     
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)  
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:643)  
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:566)    
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:480)     
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:442)     
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:131)     
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)    
at java.lang.Thread.run(Thread.java:748)


at org.apache.spark.network.client.TransportResponseHandler.handle(TransportResponseHandler.java:189)   
at org.apache.spark.network.server.TransportChannelHandler.channelRead(TransportChannelHandler.java:120)    
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:367)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:353)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:346)   
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:266)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:367)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:353)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:346)   
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:367)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:353)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:346)   
at org.apache.spark.network.util.TransportFrameDecoder.channelRead(TransportFrameDecoder.java:85)   
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:367)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:353)     
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:346)   
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1294)    
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:367)     
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:353)     
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:911)     
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)  
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:652)  
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:575)    
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:489)     
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:451)     
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:140)     
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)    
    ... 1 more 17/11/30 01:54:43 ERROR Worker: All masters are unresponsive! Giving up.

• 在主主机上运行

  /sbin/start master.sh

  ，检查 在ui中，默认端口为

  8080

• 运行

  /sbin/start-slave.shspark://10.8.9.13:7077

  在每个从属主机上
  有关更多信息，请参阅

---

通过将所有系统名称更改为相同名称，问题得以解决。还在master:~/spark-2.0.2-bin-hadoop2.7/conf中创建了一个

slaves

文件。slaves文件包含以下内容：

# A Spark Worker will be started on each of the machines listed below.
10.8.9.13   
10.8.19.23   
10.8.5.158

还将主IP地址添加到~/spark-2.0.2-bin-hadoop2.7 /conf/spark-env.sh文件

export SPARK_MASTER_HOST=10.8.9.13

---

当我运行

/sbin/start master.sh

并检查UI上的可用性时，我在spark://M1:7077/之后，我运行

/sbin/start-slave.shspark://10.8.9.13:7077

但主机未显示任何工作进程处于活动状态。我还在我的conf/SPARK-env.sh中添加了>SPARK\u MASTER\u HOST=your\u HOST\u ip SPARK\u LOCAL\u ip=your\u HOST\u ip。但事实似乎并非如此working@abhinavchoudhury您是否尝试运行

/sbin/start-slave.shspark://M1:7077 

而不是

/sbin/start-slave.shspark://10.8.9.13:7077 

？是的，我做了，但仍然没有在主web UI上显示任何内容。我还检查了我的从机中的日志。它给出了一个连接到主机M1:7077失败的错误，/etc/hosts文件是否包含主IP和从IP？所有从属主机文件是否也应与主主机文件相同？系统的主机名（M1）和主机名是否应该相同？i、 e.在我的情况下，主机名是M1，我已经在主机文件中写入了10.8.9.13 master。尝试在主节点上运行

netstat-nlp | grep 7077

，查看主节点是否在侦听端口7077，如果是，从节点上运行

telnet M1 7077

，查看主节点上的端口7077是否打开