Github user robbyki commented on the issue:
https://github.com/apache/spark/pull/16209
Is there a recommended workaround to achieve exactly this in spark 2.1? I'm
going through several resources to try and understand how to maintain my schema
created outside of spark and then just truncating my tables from spark followed
by writing with a savemode of overwrite. My problem exactly this issue with
respect to my db netezza failing when it sees spark trying to save a text data
type so I then have to go specify in my new jdbc dialect to use varchar(n)
which does work however that just replaces all of my varchar columns (different
lengths for different columns) with whatever I specified in my dialect which is
not what I want. How can I just have it save the TEXT as varchar without
specifying a length in the custom dialect?
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