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https://issues.apache.org/jira/browse/BEAM-1251?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16890504#comment-16890504
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Valentyn Tymofieiev edited comment on BEAM-1251 at 8/8/19 8:04 PM:
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There have been several Python 3-related improvements to Beam since 2.11.0
release. Notable changes:
2.12.0:
* Pre and Post-commit test coverage expanded to Python 3.5, 3.6, 3.7.
* Direct and Dataflow runners added support for Python 3.6 - 3.7.
2.13.0:
* Avro IO support enabled on Python 3.
* Datastore IO support enabled on Python 3.
* Bigquery IO support for BYTES datatype enabled on Python 3.
2.14.0 (release in progress):
* Portable runner supports launching pipelines on Python 3 with Flink/Spark.
* Fixed handling of empty values of BYTES columns in Bigquery IO on Python 3.
* Strengthened type inference on Python 3.6+. More restrictions defined by type
annotations are now enforced.
Starting from 2.14.0, Beam will announce support of Python 3.6, 3.7 in
[PyPi|https://pypi.org/project/apache-beam/].
Work continues to address known issues and strengthen Beam's Python 3 offering,
in particular:
* Improve type annotations and inference on Python 3: BEAM-7060, BEAM-7712,
BEAM-7713.
* Mitigate known pickling errors on Python 3: BEAM-6158, BEAM-7540.
* Support syntactic constructs of Python 3 that are not yet supported by Beam:
BEAM-5878.
Contributions (and feedback!) are welcome, see:
https://beam.apache.org/roadmap/python-sdk/#python-3-support for details.
was (Author: tvalentyn):
There have been several Python 3-related improvements to Beam since 2.11.0
release. Notable changes:
2.12.0:
* Pre and Post-commit test coverage expanded to Python 3.5, 3.6, 3.7.
* Direct and Dataflow runners added support for Python 3.6 - 3.7.
2.13.0:
* Avro IO support enabled on Python 3.
* Datastore IO support enabled on Python 3.
* Bigquery IO support for BYTES datatype enabled on Python 3.
2.14.0 (release in progress):
* Portable runner supports launching pipelines on Python 3 with Flink/Spark.
* Fixed handling of empty values of BYTES columns in Bigquery IO on Python 3.
* Strengthened type inference on Python 3.6+. More restrictions defined by type
annotations are now enforced.
Starting from 2.14.0, Beam will announce support of Python 3.6, 3.7 in
[PyPi|https://pypi.org/project/apache-beam/].
Work continues to address known issues and strengthen Beam's Python 3 offering,
in particular:
* Improve type annotations and inference on Python 3: BEAM-7060, BEAM-7712,
BEAM-7713.
* Mitigate known pickling errors on Python 3: BEAM-7540.
* Support syntactic constructs of Python 3 that are not yet supported by Beam:
BEAM-5878.
Contributions (and feedback!) are welcome, see:
https://beam.apache.org/roadmap/python-sdk/#python-3-support for details.
> Python 3 Support
> ----------------
>
> Key: BEAM-1251
> URL: https://issues.apache.org/jira/browse/BEAM-1251
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Eyad Sibai
> Assignee: Valentyn Tymofieiev
> Priority: Major
> Time Spent: 29h 20m
> Remaining Estimate: 0h
>
> I have been trying to use google datalab with python3. As I see there are
> several packages that does not support python3 yet which google datalab
> depends on. This is one of them.
> https://github.com/GoogleCloudPlatform/DataflowPythonSDK/issues/6
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