Github user WeichenXu123 commented on the issue:
https://github.com/apache/spark/pull/19317
Yes. I guess the perf gain is because, this PR use local hashmap which can
use unlimited memory, but current spark aggregation impl, will auto spill local
hashmap when exceeding a threshold.
Memory management is a difficult thing we should not try to do it in user
code I think, because we're hard to estimate how huge the hashmap will grow to.
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