If the task detects unrecoverable error, i.e. an error that we can't expect
to fix by retrying nor moving the task to another node, how to stop the job
/ prevent Spark from retrying it?

def process(taskContext: TaskContext, data: Iterator[T]) {
   ...

   if (unrecoverableError) {
      ??? // terminate the job immediately
   }
   ...
 }

Somewhere else:
rdd.sparkContext.runJob(rdd, something.process _)


Thanks,
Piotr


-- 
Piotr Kolaczkowski, Lead Software Engineer
pkola...@datastax.com

http://www.datastax.com/
777 Mariners Island Blvd., Suite 510
San Mateo, CA 94404

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