Hi Jeff
Thanks for confirming the same.
I have also thought about reading every MongoDB document separately along
with their schemas and then comparing them to the schemas of all the
documents in the collection. For our huge database this is a horrible
horrible approach as you have already
As far as I know, in general, there isn't a way to distinguish explicit
null values from missing ones. (Someone please correct me if I'm wrong,
since I would love to be able to do this for my own reasons). If you
really must do it, and don't care about performance at all (since it will
be
Hi
Please look at my issue from the link below.
https://stackoverflow.com/questions/62526118/how-to-differentiate-between-null-and-missing-mongogdb-values-in-a-spark-datafra
Kindly Help
Best
Mannat
