Github user srowen commented on the issue:
https://github.com/apache/spark/pull/15868
OK I have an overall question about this approach. The point is to limit
concurrent JDBC connections? this does that, but, requires repartitioning data
to accomplish that, which is expensive. One could also just use a connection
pool to cap this automatically and globally. That's, however, fairly
driver-specific. OK, maybe that's a different topic.
Here though, why not just let the user repartition the DataFrame if
desired? Is it worth a property?
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