Github user jtengyp commented on the issue:
https://github.com/apache/spark/pull/17936
I think you@ConeyLiu should directly test the Cartesian phase with the
following patch.
val user = model.userFeatures
val item = model.productFeatures
val start = System.nanoTime()
val rate = user.cartesian(item)
println(rate.count())
val time = (System.nanoTime() - start) / 1e9
The recommendForAll in mllib ALS has been merged a new PR#17742. Your PR
may not fit this case.
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