Github user uzadude commented on the issue:
https://github.com/apache/spark/pull/16732
After running some more experiments I was able to reduce the runtime by
another 1.5x factor. So currently the
"toCoordinateMatrix().toIndexedRowMatrix()" is better by a bit only in the
extreme cases when the block matrix size was somewhat incorrectly configured
(as above - 1000x1000 and density 1/1000) - meaning it will contain many rows
with only one value, then the gain comes only from the overhead of shuffling
primitive instead of a Vector. So I generally think this approach is better.
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