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https://issues.apache.org/jira/browse/BEAM-5058?focusedWorklogId=155052&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-155052
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ASF GitHub Bot logged work on BEAM-5058:
----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Oct/18 18:32
Start Date: 16/Oct/18 18:32
Worklog Time Spent: 10m
Work Description: markflyhigh opened a new pull request #6707:
[BEAM-5058] Run basic ITs in Python Precommit
URL: https://github.com/apache/beam/pull/6707
According to https://beam.apache.org/contribute/testing/, we want to run
basic e2e tests in Python Precommit.
This change adds following suite to Python precommit:
- directRunnerIT. 3 integration tests that run with DirectRunner. Finish
within 1min.
- precommitIT. Including wordcount batch and streaming integration tests
runs against DataflowRunner.
I expects this change will increase precommit time ~10mins and overall
runtime will be 30 - 40 mins based on recent data.
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Post-Commit Tests Status (on master branch)
------------------------------------------------------------------------------------------------
Lang | SDK | Apex | Dataflow | Flink | Gearpump | Samza | Spark
--- | --- | --- | --- | --- | --- | --- | ---
Go | [](https://builds.apache.org/job/beam_PostCommit_Go_GradleBuild/lastCompletedBuild/)
| --- | --- | --- | --- | --- | ---
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: 155052)
Time Spent: 10m
Remaining Estimate: 0h
> Python precommits should run E2E tests
> --------------------------------------
>
> Key: BEAM-5058
> URL: https://issues.apache.org/jira/browse/BEAM-5058
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-core, testing
> Reporter: Udi Meiri
> Priority: Major
> Time Spent: 10m
> Remaining Estimate: 0h
>
> According to [https://beam.apache.org/contribute/testing/] (which I'm working
> on), end-to-end tests should be run in precommit on each combination of
> \{batch, streaming}x\{SDK language}x\{supported runner}.
> At least 2 tests need to be added to Python's precommit: wordcount and
> wordcount_streaming on Dataflow, and possibly on other supported runners
> (direct runner and new runners plz).
> These tests should be configured to run from a Gradle sub-project, so that
> they're run in parallel to the unit tests.
> Example that parallelizes Java precommit integration tests:
> [https://github.com/apache/beam/pull/5731]
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