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Valentyn Tymofieiev edited comment on BEAM-1251 at 7/22/19 10:18 PM: --------------------------------------------------------------------- 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. 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 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: Robbe > 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 -- This message was sent by Atlassian JIRA (v7.6.14#76016)