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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2018/10/10 20:09:00 UTC
[jira] [Work logged] (BEAM-5707) Add a portable Flink streaming
synthetic source for testing
[ https://issues.apache.org/jira/browse/BEAM-5707?focusedWorklogId=153266&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-153266 ]
ASF GitHub Bot logged work on BEAM-5707:
----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Oct/18 20:08
Start Date: 10/Oct/18 20:08
Worklog Time Spent: 10m
Work Description: mwylde opened a new pull request #6637: [BEAM-5707] Add a periodic, streaming impulse source for Flink portable pipelines
URL: https://github.com/apache/beam/pull/6637
This is a rough attempt at addressing BEAM-5707. This is something we've found very useful internally for validating streaming functionality in the python SDK without needing a real streaming source like kafka or kinesis.
I'm still pretty new to beam, so wanted to get feedback early (before cleaning things up, writing docs, tests, etc).
A few questions up front:
* Should something like this have a standard beam URN? Currently I'm using `flink:transform:streaming_impulse:v1`.
* How should configuration be serialized between the python pipeline and the flink translation code? I've used JSON here; should it be protobuf or something else?
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Post-Commit Tests Status (on master branch)
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Lang | SDK | Apex | Dataflow | Flink | Gearpump | Samza | Spark
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Java | [](https://builds.apache.org/job/beam_PostCommit_Java_GradleBuild/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Apex_Gradle/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Dataflow_Gradle/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Flink_Gradle/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Gearpump_Gradle/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Samza_Gradle/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Java_ValidatesRunner_Spark_Gradle/lastCompletedBuild/)
Python | [](https://builds.apache.org/job/beam_PostCommit_Python_Verify/lastCompletedBuild/) | --- | [](https://builds.apache.org/job/beam_PostCommit_Py_VR_Dataflow/lastCompletedBuild/) </br> [](https://builds.apache.org/job/beam_PostCommit_Py_ValCont/lastCompletedBuild/) | [](https://builds.apache.org/job/beam_PostCommit_Python_VR_Flink/lastCompletedBuild/) | --- | --- | ---
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Issue Time Tracking
-------------------
Worklog Id: (was: 153266)
Time Spent: 10m
Remaining Estimate: 0h
> Add a portable Flink streaming synthetic source for testing
> -----------------------------------------------------------
>
> Key: BEAM-5707
> URL: https://issues.apache.org/jira/browse/BEAM-5707
> Project: Beam
> Issue Type: Improvement
> Components: runner-flink
> Reporter: Micah Wylde
> Assignee: Aljoscha Krettek
> Priority: Minor
> Time Spent: 10m
> Remaining Estimate: 0h
>
> Currently there are no built-in streaming sources for portable pipelines. This makes it hard to test streaming functionality in the Python SDK.
> It would be very useful to add a periodic impulse source that (with some configurable frequency) outputs an empty byte array, which can then be transformed as desired inside the python pipeline. More context in this [mailing list discussion|https://lists.apache.org/thread.html/b44a648ab1d0cb200d8bfe4b280e9dad6368209c4725609cbfbbe410@%3Cdev.beam.apache.org%3E].
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