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Posted to issues@spark.apache.org by "Xinrong Meng (Jira)" <ji...@apache.org> on 2022/05/24 18:52:00 UTC
[jira] [Updated] (SPARK-39048) Refactor `GroupBy._reduce_for_stat_function` on accepted data types
[ https://issues.apache.org/jira/browse/SPARK-39048?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xinrong Meng updated SPARK-39048:
---------------------------------
Parent: SPARK-39076
Issue Type: Sub-task (was: Improvement)
> 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: Sub-task
> Components: PySpark
> Affects Versions: 3.4.0
> Reporter: Xinrong Meng
> Assignee: 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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