Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/13779
My main point is that you are trying to solve an application problem
(having null types in your data) in the SQL engine. This might be what you
want, but this is very likely to cause a lot of confusion and bugs for other
users.
IIUC you have the following dataflow: Mongo DB -> RDD -> DataFrame. You can
check and enforce a schema when you convert from an RDD to a DataFrame.
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