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Posted to issues@flink.apache.org by "Martijn Visser (Jira)" <ji...@apache.org> on 2022/04/07 07:26:00 UTC

[jira] [Updated] (FLINK-22517) Fix pickle compatibility problem in different Python versions

     [ https://issues.apache.org/jira/browse/FLINK-22517?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Martijn Visser updated FLINK-22517:
-----------------------------------
    Priority: Major  (was: Not a Priority)

> Fix pickle compatibility problem in different Python versions
> -------------------------------------------------------------
>
>                 Key: FLINK-22517
>                 URL: https://issues.apache.org/jira/browse/FLINK-22517
>             Project: Flink
>          Issue Type: Bug
>          Components: API / Python
>    Affects Versions: 1.13.0, 1.12.3
>            Reporter: Huang Xingbo
>            Priority: Major
>              Labels: auto-deprioritized-major, auto-deprioritized-minor, auto-unassigned
>
> Since release-1.12, PyFlink has supported Python3 8. Starting from Python 3.8, the default protocol version used by pickle is pickle5(https://www.python.org/dev/peps/pep-0574/), which will raising the following exception if the client uses python 3.8 to compile program and the cluster node uses python 3.7 or python 3.6 to run python udf:
> {code:python}
> ValueError: unsupported pickle protocol: 5
> {code}
> The workaround is to first let the python version used by the client be 3.6 or 3.7. For how to specify the client-side python execution environment, please refer to the doc(https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/python/python_config.html#python-client-executable).



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