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.
--- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org