Github user MaxGekk commented on the issue:
https://github.com/apache/spark/pull/23052
I have read the tickets you pointed out but haven't found what could
potentially block the changes. One of corner cases is saving an empty
dataframe. In this case, no files would be written, but this is ok for
text-based datasources because , in any case, we cannot restore the schema
fully from empty files (comparing to parquet files where we can). So, a schema
must be provided by an user.
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