Hi Shannon, It should be a configuration issue, check in your /etc/hosts and make sure localhost is not associated with the SPARK_MASTER_IP you provided.
Thanks Best Regards On Thu, Jun 26, 2014 at 6:37 AM, Shannon Quinn <squ...@gatech.edu> wrote: > Hi all, > > I have a 2-machine Spark network I've set up: a master and worker on > machine1, and worker on machine2. When I run 'sbin/start-all.sh', > everything starts up as it should. I see both workers listed on the UI > page. The logs of both workers indicate successful registration with the > Spark master. > > The problems begin when I attempt to submit a job: I get an "address > already in use" exception that crashes the program. It says "Failed to bind > to " and lists the exact port and address of the master. > > At this point, the only items I have set in my spark-env.sh are > SPARK_MASTER_IP and SPARK_MASTER_PORT (non-standard, set to 5060). > > The next step I took, then, was to explicitly set SPARK_LOCAL_IP on the > master to 127.0.0.1. This allows the master to successfully send out the > jobs; however, it ends up canceling the stage after running this command > several times: > > 14/06/25 21:00:47 INFO AppClient$ClientActor: Executor added: > app-20140625210032-0000/8 on worker-20140625205623-machine2-53597 > (machine2:53597) with 8 cores > 14/06/25 21:00:47 INFO SparkDeploySchedulerBackend: Granted executor ID > app-20140625210032-0000/8 on hostPort machine2:53597 with 8 cores, 8.0 GB > RAM > 14/06/25 21:00:47 INFO AppClient$ClientActor: Executor updated: > app-20140625210032-0000/8 is now RUNNING > 14/06/25 21:00:49 INFO AppClient$ClientActor: Executor updated: > app-20140625210032-0000/8 is now FAILED (Command exited with code 1) > > The "/8" started at "/1", eventually becomes "/9", and then "/10", at > which point the program crashes. The worker on machine2 shows similar > messages in its logs. Here are the last bunch: > > 14/06/25 21:00:31 INFO Worker: Executor app-20140625210032-0000/9 finished > with state FAILED message Command exited with code 1 exitStatus 1 > 14/06/25 21:00:31 INFO Worker: Asked to launch executor > app-20140625210032-0000/10 for app_name > Spark assembly has been built with Hive, including Datanucleus jars on > classpath > 14/06/25 21:00:32 INFO ExecutorRunner: Launch command: "java" "-cp" > "::/home/spark/spark-1.0.0-bin-hadoop2/conf:/home/spark/spark-1.0.0-bin-hadoop2/lib/spark-assembly-1.0.0-hadoop2.2.0.jar:/home/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-rdbms-3.2.1.jar:/home/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-core-3.2.2.jar:/home/spark/spark-1.0.0-bin-hadoop2/lib/datanucleus-api-jdo-3.2.1.jar" > "-XX:MaxPermSize=128m" "-Xms8192M" "-Xmx8192M" > "org.apache.spark.executor.CoarseGrainedExecutorBackend" " > *akka.tcp://spark@localhost:5060/user/CoarseGrainedScheduler*" "10" > "machine2" "8" "akka.tcp://sparkWorker@machine2:53597/user/Worker" > "app-20140625210032-0000" > 14/06/25 21:00:33 INFO Worker: Executor app-20140625210032-0000/10 > finished with state FAILED message Command exited with code 1 exitStatus 1 > > I highlighted the part that seemed strange to me; that's the master port > number (I set it to 5060), and yet it's referencing localhost? Is this the > reason why machine2 apparently can't seem to give a confirmation to the > master once the job is submitted? (The logs from the worker on the master > node indicate that it's running just fine) > > I appreciate any assistance you can offer! > > Regards, > Shannon Quinn > >
