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https://issues.apache.org/jira/browse/SPARK-12422?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15084913#comment-15084913
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Tommy Yu commented on SPARK-12422:
----------------------------------
Hi
For docker images, can you please check /etc/hosts file and remove first line
for ip & hosts wrapper.
Suggest take a look below doc if you want set up a cluster env base on docker.
sometechshit.blogspot.ru/2015/04/running-spark-standalone-cluster-in.html
Regards.
> Binding Spark Standalone Master to public IP fails
> --------------------------------------------------
>
> Key: SPARK-12422
> URL: https://issues.apache.org/jira/browse/SPARK-12422
> Project: Spark
> Issue Type: Bug
> Components: Deploy
> Affects Versions: 1.5.2
> Environment: Fails on direct deployment on Mac OSX and also in Docker
> Environment (running on OSX or Ubuntu)
> Reporter: Bennet Jeutter
> Priority: Blocker
>
> The start of the Spark Standalone Master fails, when the host specified
> equals the public IP address. For example I created a Docker Machine with
> public IP 192.168.99.100, then I run:
> /usr/spark/bin/spark-class org.apache.spark.deploy.master.Master -h
> 192.168.99.100
> It'll fail with:
> Exception in thread "main" java.net.BindException: Failed to bind to:
> /192.168.99.100:7093: Service 'sparkMaster' failed after 16 retries!
> at
> org.jboss.netty.bootstrap.ServerBootstrap.bind(ServerBootstrap.java:272)
> at
> akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:393)
> at
> akka.remote.transport.netty.NettyTransport$$anonfun$listen$1.apply(NettyTransport.scala:389)
> at scala.util.Success$$anonfun$map$1.apply(Try.scala:206)
> at scala.util.Try$.apply(Try.scala:161)
> at scala.util.Success.map(Try.scala:206)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
> at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:235)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at
> akka.dispatch.BatchingExecutor$AbstractBatch.processBatch(BatchingExecutor.scala:55)
> at
> akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:91)
> at
> akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91)
> at
> akka.dispatch.BatchingExecutor$BlockableBatch$$anonfun$run$1.apply(BatchingExecutor.scala:91)
> at
> scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at
> akka.dispatch.BatchingExecutor$BlockableBatch.run(BatchingExecutor.scala:90)
> at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
> at
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:397)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at
> scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> So I thought oh well, lets just bind to the local IP and access it via public
> IP - this doesn't work, it will give:
> dropping message [class akka.actor.ActorSelectionMessage] for non-local
> recipient [Actor[akka.tcp://sparkMaster@192.168.99.100:7077/]] arriving at
> [akka.tcp://sparkMaster@192.168.99.100:7077] inbound addresses are
> [akka.tcp://sparkMaster@spark-master:7077]
> So there is currently no possibility to run all this... related stackoverflow
> issues:
> *
> http://stackoverflow.com/questions/31659228/getting-java-net-bindexception-when-attempting-to-start-spark-master-on-ec2-node
> *
> http://stackoverflow.com/questions/33768029/access-apache-spark-standalone-master-via-ip
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