Github user travishegner commented on the pull request:
https://github.com/apache/spark/pull/8780#issuecomment-141462484
That is exactly what I was afraid of. Would the patch make more sense to
*only* check precision for a zero value? Does it ever make sense to have a
precision of zero (or less than zero for that matter)? Could we safely enforce
defaults if precision is zero (or less) regardless of scale? That would solve
my problem still, hopefully without compromising functionality for everyone
else.
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