Github user sureshthalamati commented on the issue:
https://github.com/apache/spark/pull/16209
@cbyn The specified types should be valid spark sql data types. LONGTEXT
probably is not one of those types supported by spark sql syntax.
@robbyki Problem with dialect as you noticed it will be same for all the
columns as you noticed. Only workaround is to create table explicitly in the
Netezza , and the save it. There is a truncate option also
if you need to empty the table before saving , that typically keeps the
table as you created.
Please post questions to spark user list , you will get answers quickly
from other users and developers. People will not notice comments on the closed
PRS.
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