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ASF GitHub Bot commented on BEAM-1410: -------------------------------------- GitHub user yk5 opened a pull request: https://github.com/apache/beam/pull/1933 [BEAM-1410] Improve DirectRunner performance by tuning BoundedReadEvaluator. Be sure to do all of the following to help us incorporate your contribution quickly and easily: - [ ] Make sure the PR title is formatted like: `[BEAM-<Jira issue #>] Description of pull request` - [ ] Make sure tests pass via `mvn clean verify`. (Even better, enable Travis-CI on your fork and ensure the whole test matrix passes). - [ ] Replace `<Jira issue #>` in the title with the actual Jira issue number, if there is one. - [ ] If this contribution is large, please file an Apache [Individual Contributor License Agreement](https://www.apache.org/licenses/icla.txt). --- You can merge this pull request into a Git repository by running: $ git pull https://github.com/yk5/beam performance Alternatively you can review and apply these changes as the patch at: https://github.com/apache/beam/pull/1933.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 #1933 ---- commit d34145adf81dd50aa00d8e968fb2843bb624b23c Author: Younghee Kwon <younghee.k...@gmail.com> Date: 2017-02-07T05:49:49Z Improve DirectRunner performance by tuning BoundedReadEvaluator. ---- > Reduce sdk-py DirectRunner running time and memory consumption > -------------------------------------------------------------- > > Key: BEAM-1410 > URL: https://issues.apache.org/jira/browse/BEAM-1410 > Project: Beam > Issue Type: Improvement > Components: sdk-py > Reporter: Younghee Kwon > Assignee: Ahmet Altay > Priority: Minor > Labels: performance, python > > Some experimental benchmarks shows that DirectRunner can improve performance > in cpu and memory. > I will roll out some CLs to improve them. -- This message was sent by Atlassian JIRA (v6.3.15#6346)