Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10000 milliseconds] - What setting can I use to adjust

[#1]

When our Spark job starts we are getting the following stack trace and we are wondering what setting we could adjust to raise the value above 10 seconds.

17/07/06 14:57:41 INFO Remoting: Starting remoting
Exception in thread "main" java.lang.reflect.UndeclaredThrowableException
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1727)
	at org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:68)
	at org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:151)
	at org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:253)
	at org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala)
Caused by: java.util.concurrent.TimeoutException: Futures timed out after [10000 milliseconds]
	at scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219)
	at scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223)
	at scala.concurrent.Await$anonfun$result$1.apply(package.scala:107)
	at scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53)
	at scala.concurrent.Await$.result(package.scala:107)
	at akka.remote.Remoting.start(Remoting.scala:179)
	at akka.remote.RemoteActorRefProvider.init(RemoteActorRefProvider.scala:184)
	at akka.actor.ActorSystemImpl.liftedTree2$1(ActorSystem.scala:620)
	at akka.actor.ActorSystemImpl._start$lzycompute(ActorSystem.scala:617)
	at akka.actor.ActorSystemImpl._start(ActorSystem.scala:617)
	at akka.actor.ActorSystemImpl.start(ActorSystem.scala:634)
	at akka.actor.ActorSystem$.apply(ActorSystem.scala:142)
	at akka.actor.ActorSystem$.apply(ActorSystem.scala:119)
	at org.apache.spark.util.AkkaUtils$.org$apache$spark$util$AkkaUtils$doCreateActorSystem(AkkaUtils.scala:121)
	at org.apache.spark.util.AkkaUtils$anonfun$1.apply(AkkaUtils.scala:53)
	at org.apache.spark.util.AkkaUtils$anonfun$1.apply(AkkaUtils.scala:52)
	at org.apache.spark.util.Utils$anonfun$startServiceOnPort$1.apply$mcVI$sp(Utils.scala:1988)
	at scala.collection.immutable.Range.foreach$mVc$sp(Range.scala:141)
	at org.apache.spark.util.Utils$.startServiceOnPort(Utils.scala:1979)
	at org.apache.spark.util.AkkaUtils$.createActorSystem(AkkaUtils.scala:55)
	at org.apache.spark.SparkEnv$.create(SparkEnv.scala:266)
	at org.apache.spark.SparkEnv$.createExecutorEnv(SparkEnv.scala:217)
	at org.apache.spark.executor.CoarseGrainedExecutorBackend$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:186)
	at org.apache.spark.deploy.SparkHadoopUtil$anon$1.run(SparkHadoopUtil.scala:69)
	at org.apache.spark.deploy.SparkHadoopUtil$anon$1.run(SparkHadoopUtil.scala:68)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:415)
	at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1709)
	... 4 more

[#2]

can you add more information like- the command that throws this error ?, also which log did you get this error from ?

[#3]

1st. If you were executed spark cmd with master(local), then check the connection host and port in that local server.

2nd. Check your firewall & iptables status whether it is of or off.