Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/11578#issuecomment-199129930
@viirya Generating a random value could be more expensive than an iterator
call. With gap sampling and p=0.8, we probably need to generate more values
than the number of elements because there are not many "gaps". Please try a
very small `p`, e.g., 0.01, and test the performance. A small `p` is what we
usually use for big datasets anyway.
@davies If the performance difference is not significant, do we still want
to make this change? What are other benefits? I just want to learn more about
the context.
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