GitHub user amitsela opened a pull request: https://github.com/apache/incubator-beam/pull/1654
[BEAM-1177] Input DStream "bundles" should be in serialized form and include relevant metadata. 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/amitsela/incubator-beam read-unbounded-bytes Alternatively you can review and apply these changes as the patch at: https://github.com/apache/incubator-beam/pull/1654.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 #1654 ---- commit 975dec257364d68b5ada3bced7f139e88853722a Author: Sela <ans...@paypal.com> Date: 2016-12-18T12:36:53Z SparkUnboundedSource mapWithStateDStream input data shuold be in serialized form for shuffle and checkpointing. Emit read count and watermark per microbatch. commit 566663bd915b8ccacf18b71da16a0a434013ef41 Author: Sela <ans...@paypal.com> Date: 2016-12-18T13:16:23Z Report the input global watermark for batch to the UI. ---- --- 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. ---