Github user dasbipulkumar commented on the issue:
https://github.com/apache/spark/pull/15880
yes. As a Dev we can handle these things, but as Spark Sql is moving
towards more abstracted APIs, it can be painful for general users. I hope that
handing these issues can be planned in upcoming major releases.
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