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Posted to issues@spark.apache.org by "Bennet Jeutter (JIRA)" <ji...@apache.org> on 2015/12/18 14:10:46 UTC
[jira] [Created] (SPARK-12422) Binding Spark Standalone Master to
public IP fails
Bennet Jeutter created SPARK-12422:
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Summary: 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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