GitHub user mpjlu opened a pull request: https://github.com/apache/spark/pull/18899
[SPARK-21680][ML][MLLIB]optimzie Vector coompress ## What changes were proposed in this pull request? When use Vector.compressed to change a Vector to SparseVector, the performance is very low comparing with Vector.toSparse. This is because you have to scan the value three times using Vector.compressed, but you just need two times when use Vector.toSparse. When the length of the vector is large, there is significant performance difference between this two method. ## How was this patch tested? The existing UT You can merge this pull request into a Git repository by running: $ git pull https://github.com/mpjlu/spark optVectorCompress Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/18899.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #18899 ---- commit 5dc5c89242a0c2a5ac6a693c3703eef8ee160616 Author: Peng Meng <peng.m...@intel.com> Date: 2017-08-10T01:59:17Z optimzie Vector coompress ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org