I like to speed up data request from Spark via the Connector to a MongoDB.
What is the scenario?
Lets assume a very simpel SQL query in Spark like SELECT * FROM TEMP
Due to the single connect I have to the database i have a serialization of my request.
Technically I could server 6GB/s if I could split the request on more channels to the MongoDB
in fakt I do not cross appr. 1GB/s and both systems (MongoDB and Spark) are almost idle. The bottleneck is Spark waiting for data from the MongoDB.

So bottom line: is there any config option to get this to a higher performance?