Github user hvanhovell commented on the pull request:
https://github.com/apache/spark/pull/8362#issuecomment-148209375
@yhuai It doesn't. A 64-bit hashcode is recommended though, especially when
would want to approximate a billion or more unique values. I have used the
ClearSpring hashcode, because this enabled me to compare the results of my
HLL++ implementation to theirs.
We could replace it with another, better performing, one; don't we have one
in Spark? We could also scale down to 32-bits...
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