spark streaming with kafka source, how many concurrent jobs?

[shyla deshpande]

I have a spark streaming application which processes 3 kafka streams and
has 5 output operations.

Not sure what should be the setting for spark.streaming.concurrentJobs.

1. If the concurrentJobs setting is 4 does that mean 2 output operations
will be run sequentially?

2. If I had 6 cores what would be a ideal setting for concurrentJobs in
this situation?

I appreciate your input. Thanks