You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2016/10/09 10:50:20 UTC
[jira] [Commented] (BEAM-734) Add support for Spark Streaming
Listeners.
[ https://issues.apache.org/jira/browse/BEAM-734?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15559787#comment-15559787 ]
ASF GitHub Bot commented on BEAM-734:
-------------------------------------
GitHub user amitsela opened a pull request:
https://github.com/apache/incubator-beam/pull/1072
[BEAM-734] Add StreamingListeners via SparkPipelineOptions.
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 BEAM-734
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/1072.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 #1072
----
commit 139cdbf0007305901cabaddfb3b387b979719d58
Author: Sela <an...@paypal.com>
Date: 2016-10-09T10:44:58Z
Add StreamingListeners via SparkPipelineOptions.
----
> Add support for Spark Streaming Listeners.
> ------------------------------------------
>
> Key: BEAM-734
> URL: https://issues.apache.org/jira/browse/BEAM-734
> Project: Beam
> Issue Type: Improvement
> Components: runner-spark
> Reporter: Amit Sela
> Assignee: Amit Sela
> Priority: Minor
>
> Spark has a mechanism for (async.) Streaming Listeners and they can be exposed via SparkPipelineOptions field.
> First use-case I have for them is for testing, but they might prove useful in other ways as well.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)