Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16633
@wzhfy Thanks for comment.
I meant that we can just deal with the cases we are confident that the all
rows in all partitions must be much larger than the limit number. I am not sure
if cbo can tell which cases the estimation is more accurate. Can we obtain such
parameter from cbo framework?
If we can't be sure that we won't hit the case of the all rows are nearly
the same of the limit number, then the change proposed here can't be used if we
don't want to bring performance regression for the cases.
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