Github user viirya commented on the issue:
https://github.com/apache/spark/pull/16633
@scwf I understand your point. But the main issue is, you can't save the
local limit cost and the shuffling cost. You still need to process all rows in
all partitions and shuffle (some of) them to single partition.
Simply said, my previous comment is showing you, in most of cases, your
proposal won't perform better than this change.
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