Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/20579
I agree, we should probably add a check for storing a DataFrame with no
columns for now. This is normally caught by the pre-insert rules, but since the
table is getting "created" in this case there is nothing to check.
In the future, I think that the create and insert should be logically
separate so that the create will fail and complain that you can't create a
table without at least one column. I think it will be cleaner to separate
concerns like that.
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