If your job fails follow this:

According to https://docs.databricks.com/jobs.html#jar-job-tips:

"Job output, such as log output emitted to stdout, is subject to a 20MB size limit. If the total output has a larger size, the run will be canceled and marked as failed."

That was my problem, to "fix it" I've just set the logging level to ERROR

val sc = SparkContext.getOrCreate(conf)

sc.setLogLevel("ERROR")

This workaround works for me

I still get this ERROR messages but the job runs successfully

I hope it helps