Github user jkbradley commented on the issue:
https://github.com/apache/spark/pull/15148
> Our use case is mainly using similarity join to find fraud trips. I think
I can change the NN-search to only single-probing NN search of dataframe if you
think it's fine. What do you think?
I'd stick with what I said before: I like the current methods provided for
approxNearestNeighbors and approxSimilarityJoin, but we could add a version of
approxNearestNeighbors taking a DataFrame instead of a single key in a future
PR.
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