GitHub user vikkyrk opened a pull request: https://github.com/apache/beam/pull/3385
Add dry run option to DataflowRunner in python SDK 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`. - [ ] 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.pdf). --- You can merge this pull request into a Git repository by running: $ git pull https://github.com/vikkyrk/incubator-beam df_runner_dry_run Alternatively you can review and apply these changes as the patch at: https://github.com/apache/beam/pull/3385.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 #3385 ---- commit 388890df98c8de889a36e8b48db13c8faf4f9b4d Author: Vikas Kedigehalli <vika...@google.com> Date: 2017-06-17T00:18:57Z Add dry run option to DataflowRunner ---- --- 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. ---