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https://issues.apache.org/jira/browse/SPARK-39048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-39048:
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Summary: Refactor `GroupBy._reduce_for_stat_function` on accepted data
types (was: Refactor GroupBy._reduce_for_stat_function on accepted data types
)
> Refactor `GroupBy._reduce_for_stat_function` on accepted data types
> --------------------------------------------------------------------
>
> Key: SPARK-39048
> URL: https://issues.apache.org/jira/browse/SPARK-39048
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.4.0
> Reporter: Xinrong Meng
> Priority: Major
>
> `Groupby._reduce_for_stat_function` is a common helper function leveraged by
> multiple statistical functions of GroupBy objects.
> It defines parameters `only_numeric` and `bool_as_numeric` to control
> accepted Spark types.
> To be consistent with pandas API, we may also have to introduce
> `str_as_numeric` for `sum` for example.
> Instead of introducing parameters designated for each Spark type, the PR is
> proposed to introduce a parameter `accepted_spark_types` to specify accepted
> types of Spark columns to be aggregated.
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