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
