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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2026/03/17 22:46:00 UTC
[jira] [Resolved] (SPARK-52785) Migrate from legacy super(Class, cls) to super() globally (for python 3)
[ https://issues.apache.org/jira/browse/SPARK-52785?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-52785.
----------------------------------
Fix Version/s: 4.2.0
Resolution: Fixed
Issue resolved by pull request 54790
[https://github.com/apache/spark/pull/54790]
> Migrate from legacy super(Class, cls) to super() globally (for python 3)
> ------------------------------------------------------------------------
>
> Key: SPARK-52785
> URL: https://issues.apache.org/jira/browse/SPARK-52785
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 4.0.0
> Reporter: kyungjunlee
> Assignee: kyungjunlee
> Priority: Minor
> Labels: pull-request-available
> Fix For: 4.2.0
>
>
> Apache Spark has dropped support for Python 2 and now requires Python 3. However, some parts of the codebase still use the legacy `super(Class, cls)` syntax, which was originally used for compatibility with Python 2.
> ```
> super(MyClass, cls).setUpClass()
> ```
> This can now be simplified to the modern Python 3 style:
> ```
> super().setUpClass()
> ```
> This change has no functional impact, but it helps improve readability and modernize the codebase.
> I would like to work on replacing these legacy patterns throughout the codebase as my first contribution to Apache Spark.
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