>From IntelliJ, you can use the remote debugging feature.
<http://stackoverflow.com/questions/19128264/how-to-remote-debug-in-intellij-12-1-4>

For remote debugging, you need to pass the following:

-Xdebug -Xrunjdwp:server=y,transport=dt_socket,address=4000,suspend=n

 jvm options and configure your ide on that given port (4000) for remote
debugging.

Thanks
Best Regards

On Fri, Mar 20, 2015 at 9:46 AM, raggy <raghav0110...@gmail.com> wrote:

> I am trying to debug a Spark Application on a cluster using a master and
> several worker nodes. I have been successful at setting up the master node
> and worker nodes using Spark standalone cluster manager. I downloaded the
> spark folder with binaries and use the following commands to setup worker
> and master nodes. These commands are executed from the spark directory.
>
> command for launching master
>
> ./sbin/start-master.sh
> command for launching worker node
>
> ./bin/spark-class org.apache.spark.deploy.worker.Worker master-URL
> command for submitting application
>
> ./sbin/spark-submit --class Application --master URL ~/app.jar
> Now, I would like to understand the flow of control through the Spark
> source
> code on the worker nodes when I submit my application(I just want to use
> one
> of the given examples that use reduce()). I am assuming I should setup
> Spark
> on Eclipse. The Eclipse setup link on the Apache Spark website seems to be
> broken. I would appreciate some guidance on setting up Spark and Eclipse to
> enable stepping through Spark source code on the worker nodes.
>
> If not Eclipse, I would be open to using some other IDE or approach that
> will enable me to step through Spark source code after launching my
> application.
>
> Thanks!
>
>
>
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