CODEWITHSUNDEEP
apache-sparkhadoop-yarngoogle-cloud-dataproc
habitats
habitats

Reputation: 2481

How to connect with JMX remotely to Spark worker on Dataproc

I can connect to the driver just fine by adding the following:

spark.driver.extraJavaOptions=-Dcom.sun.management.jmxremote \
                              -Dcom.sun.management.jmxremote.port=9178 \
                              -Dcom.sun.management.jmxremote.authenticate=false \
                              -Dcom.sun.management.jmxremote.ssl=false

But doing ...

spark.executor.extraJavaOptions=-Dcom.sun.management.jmxremote \
                                -Dcom.sun.management.jmxremote.port=9178 \
                                -Dcom.sun.management.jmxremote.authenticate=false \
                                -Dcom.sun.management.jmxremote.ssl=false

... only yield a bunch of errors on the driver ...

Container id: container_1501548048292_0024_01_000003
Exit code: 1
Stack trace: ExitCodeException exitCode=1: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:972)
    at org.apache.hadoop.util.Shell.run(Shell.java:869)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:1170)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:236)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:305)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:84)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:748)


Container exited with a non-zero exit code 1

... and finally crashes the job.

There are no errors on the workers, it simply exits with:

[org.apache.spark.util.ShutdownHookManager] - Shutdown hook called

Spark v2.2.0, and the cluster is a simple 1m-2w-configuration, and my jobs run without issues without the executor parameters.

Upvotes: 7

Views: 4188

Answers (2)

Akshay thakur
Akshay thakur

Reputation: 91

Passing following configuration with spark-submit worked for me --conf "spark.executor.extraJavaOptions=-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=9178 -Dcom.sun.management.jmxremote.authenticate=false -Dcom.sun.management.jmxremote.ssl=false"

Upvotes: 1

habitats
habitats

Reputation: 2481

As Rick Mortiz pointed out, the issue was conflicting ports for the executor jmx.

Setting:

-Dcom.sun.management.jmxremote.port=0

yields a random port, and removed the errors from Spark. To figure out which port it ends up using do:

netstat -alp | grep LISTEN.*<executor-pid>/java

which lists the currently open ports for that process.

Upvotes: 3

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