spark集群启动后WorkerUI界面看不到Workers解决
前话
我有三台机分别是：
192.168.238.129 master
192.168.238.130 slave2
192.168.238.131 slave1spark 版本是2.0.2，hosts文件已经配置上面参数
最近在搭spark集群的时候，成功启动集群，但是访问master的WorkerUI界面却看不到子节点，也就是worker id那里为空的，如图：
解决这个问题，关键是改spark的conf下面的spark-env.sh文件：
注意点就是，下面的master的相关配置必须是ip，之前填master，能启动，但是界面看不到worker。
master配置：
export JAVA_HOME=/opt/jdk1.7.0_80
export SCALA_HOME=/opt/scala-2.10.7
export HADOOP_HOME=/usr/local/hadoop-2.7.6
export SPARK_MASTER_IP=192.168.238.129
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_HOST=192.168.238.129
export SPARK_LOCAL_IP=192.168.238.129
export SPARK_HOME=/opt/spark-2.0.2-bin-hadoop2.7
export HADOOP_CONF_DIR=/usr/local/hadoop-2.7.6/etc/hadoop
export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop-2.7.6/bin/hadoop classpath)
export SPARK_EXECUTOR_MEMORY=1G
export SPARK_WORKER_CORES=2slave1的配置
export JAVA_HOME=/opt/jdk1.7.0_80
export SCALA_HOME=/opt/scala-2.10.7
export HADOOP_HOME=/usr/local/hadoop-2.7.6
export SPARK_MASTER_IP=192.168.238.129
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_HOST=192.168.238.129
export SPARK_LOCAL_IP=slave1
export SPARK_HOME=/opt/spark-2.0.2-bin-hadoop2.7
export HADOOP_CONF_DIR=/usr/local/hadoop-2.7.6/etc/hadoop
export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop-2.7.6/bin/hadoop classpath)
export SPARK_EXECUTOR_MEMORY=1G
export SPARK_WORKER_CORES=2slave2的配置
export JAVA_HOME=/opt/jdk1.7.0_80
export SCALA_HOME=/opt/scala-2.10.7
export HADOOP_HOME=/usr/local/hadoop-2.7.6
export SPARK_MASTER_IP=master
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_HOST=master
export SPARK_LOCAL_IP=slave2
export SPARK_HOME=/opt/spark-2.0.2-bin-hadoop2.7
export HADOOP_CONF_DIR=/usr/local/hadoop-2.7.6/etc/hadoop
export SPARK_DIST_CLASSPATH=$(/usr/local/hadoop-2.7.6/bin/hadoop classpath)
export SPARK_EXECUTOR_MEMORY=1G
export SPARK_WORKER_CORES=2从上面配置会发现主要是master的必须用ip，其他的可用可不用ip
成功启动日志：
[hadoop@master spark-2.0.2-bin-hadoop2.7]$ ./sbin/start-all.sh
starting org.apache.spark.deploy.master.Master, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.master.Master-1-master.out
slave2: starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave2.out
slave1: starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave1.out失败启动日志：
失败的日志会记录在logs，命令里已经指出是哪个log了。可以自己去看log找出原因
[hadoop@master spark-2.0.2-bin-hadoop2.7]$ ./sbin/start-all.sh
starting org.apache.spark.deploy.master.Master, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.master.Master-1-master.out
slave1: starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave1.out
slave2: starting org.apache.spark.deploy.worker.Worker, logging to /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave2.out
slave1: failed to launch org.apache.spark.deploy.worker.Worker:
slave1: full log in /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave1.out
slave2: failed to launch org.apache.spark.deploy.worker.Worker:
slave2: full log in /opt/spark-2.0.2-bin-hadoop2.7/logs/spark-hadoop-org.apache.spark.deploy.worker.Worker-1-slave2.out
修改后重新启动后的界面：
缺点，显示的是ip，不是其他主机的名字
后话
下面内容只作为讨论用。
当改了master的配置不用ip，直接填写master的时候，如下面的配置，发现master能成功启动，但是slave节点都是报错的，说连不上master，但是直接ping也能通，不知道是什么问题？报错信息，可用在spark目录下的logs文件里看到
export SPARK_MASTER_IP=master
export SPARK_MASTER_PORT=7077
export SPARK_MASTER_HOST=master报错日志如下：
18/06/22 16:33:18 WARN worker.Worker: Failed to connect to master master: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:88)
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:96)
at org.apache.spark.deploy.worker.Worker$$anonfun$org$apache$spark$deploy$worker$Worker$$tryRegisterAllMasters$1$$anon$1.run(Worker.scala:216)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to connect to master/192.168.238.129:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:228)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:179)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:197)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:191)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
... 4 more
Caused by: java.net.ConnectException: 拒绝连接: master/192.168.238.129:7077
at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:744)
at io.netty.channel.socket.nio.NioSocketChannel.doFinishConnect(NioSocketChannel.java:224)
at io.netty.channel.nio.AbstractNioChannel$AbstractNioUnsafe.finishConnect(AbstractNioChannel.java:289)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:528)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:111)
... 1 more
18/06/22 16:33:25 INFO worker.Worker: Retrying connection to master (attempt # 1)
18/06/22 16:33:25 INFO worker.Worker: Connecting to master master:7077...
18/06/22 16:33:25 WARN worker.Worker: Failed to connect to master master:7077
org.apache.spark.SparkException: Exception thrown in awaitResult
at org.apache.spark.rpc.RpcTimeout$$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$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:59)
at scala.PartialFunction$OrElse.apply(PartialFunction.scala:167)
at org.apache.spark.rpc.RpcTimeout.awaitResult(RpcTimeout.scala:83)
at org.apache.spark.rpc.RpcEnv.setupEndpointRefByURI(RpcEnv.scala:88)
at org.apache.spark.rpc.RpcEnv.setupEndpointRef(RpcEnv.scala:96)
at org.apache.spark.deploy.worker.Worker$$anonfun$org$apache$spark$deploy$worker$Worker$$tryRegisterAllMasters$1$$anon$1.run(Worker.scala:216)
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)
at java.util.concurrent.FutureTask.run(FutureTask.java:262)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
at java.lang.Thread.run(Thread.java:745)
Caused by: java.io.IOException: Failed to connect to master/192.168.238.129:7077
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:228)
at org.apache.spark.network.client.TransportClientFactory.createClient(TransportClientFactory.java:179)
at org.apache.spark.rpc.netty.NettyRpcEnv.createClient(NettyRpcEnv.scala:197)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:191)
at org.apache.spark.rpc.netty.Outbox$$anon$1.call(Outbox.scala:187)
... 4 more但是查看进程又是启动的
[hadoop@slave2 conf]$ jps
7514 Worker
7583 Jps
4485 DataNode
[hadoop@slave2 conf]$