If you want to run the spark application from a remote machine, then you have to at least set the following configurations properly.
*spark.driver.host* - points to the ip/host from where you are submitting the job (make sure you are able to ping this from the cluster) *spark.driver.port* - set it to a port number which is accessible from the spark cluster. You can look at more configuration options over here. <http://spark.apache.org/docs/latest/configuration.html#networking> Thanks Best Regards On Tue, Nov 4, 2014 at 6:07 AM, Saiph Kappa <saiph.ka...@gmail.com> wrote: > Hi, > > I am trying to submit a job to a spark cluster running on a single machine > (1 master + 1 worker) with hadoop 1.0.4. I submit it in the code: > «val sparkConf = new > SparkConf().setMaster("spark://myserver:7077").setAppName("MyApp").setJars(Array("target/my-app-1.0-SNAPSHOT.jar"))». > > When I run this application on the same machine as the cluster everything > works fine. > > But when I run it from a remote machine I get the following error: > > Using Spark's default log4j profile: >> org/apache/spark/log4j-defaults.properties >> 14/11/04 00:15:38 INFO CoarseGrainedExecutorBackend: Registered signal >> handlers for [TERM, HUP, INT] >> 14/11/04 00:15:38 INFO SecurityManager: Changing view acls to: >> myuser,Myuser >> 14/11/04 00:15:38 INFO SecurityManager: Changing modify acls to: >> myuser,Myuser >> 14/11/04 00:15:38 INFO SecurityManager: SecurityManager: authentication >> disabled; ui acls disabled; users with view permissions: Set(myuser, >> Myuser); users with modify permissions: Set(myuser, Myuser) >> 14/11/04 00:15:38 INFO Slf4jLogger: Slf4jLogger started >> 14/11/04 00:15:38 INFO Remoting: Starting remoting >> 14/11/04 00:15:38 INFO Remoting: Remoting started; listening on addresses >> :[akka.tcp://driverPropsFetcher@myserver:49190] >> 14/11/04 00:15:38 INFO Remoting: Remoting now listens on addresses: >> [akka.tcp://driverPropsFetcher@myserver:49190] >> 14/11/04 00:15:38 INFO Utils: Successfully started service >> 'driverPropsFetcher' on port 49190. >> 14/11/04 00:15:38 WARN Remoting: Tried to associate with unreachable >> remote address [akka.tcp://sparkDriver@mylaptop:57418]. Address is now >> gated for 60000 ms, all messages to this address will be delivered to dead >> letters. >> 14/11/04 00:16:08 ERROR UserGroupInformation: PriviledgedActionException >> as:Myuser cause:java.util.concurrent.TimeoutException: Futures timed out >> after [30 seconds] >> Exception in thread "main" >> java.lang.reflect.UndeclaredThrowableException: Unknown exception in doAs >> at >> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1134) >> at >> org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:52) >> at >> org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:113) >> at >> org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:156) >> at >> org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala) >> Caused by: java.security.PrivilegedActionException: >> java.util.concurrent.TimeoutException: Futures timed out after [30 seconds] >> 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:1121) >> ... 4 more >> Caused by: java.util.concurrent.TimeoutException: Futures timed out after >> [30 seconds] >> at >> scala.concurrent.impl.Promise$DefaultPromise.ready(Promise.scala:219) >> at >> scala.concurrent.impl.Promise$DefaultPromise.result(Promise.scala:223) >> at scala.concurrent.Await$$anonfun$result$1.apply(package.scala:107) >> at >> scala.concurrent.BlockContext$DefaultBlockContext$.blockOn(BlockContext.scala:53) >> at scala.concurrent.Await$.result(package.scala:107) >> at >> org.apache.spark.executor.CoarseGrainedExecutorBackend$$anonfun$run$1.apply$mcV$sp(CoarseGrainedExecutorBackend.scala:125) >> at >> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:53) >> at >> org.apache.spark.deploy.SparkHadoopUtil$$anon$1.run(SparkHadoopUtil.scala:52) >> ... 7 more >> > > I know this has something to do with hadoop permissions. I have checked > and all necessary hadoop ports in the server are open and accessible from > outside. > > How can I configure the right permissions? > > Thanks. >
