[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-39048: Assignee: Apache Spark > 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 >Assignee: Apache Spark >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. -- This message was sent by Atlassian Jira (v8.20.7#820007) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (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 ] Apache Spark reassigned SPARK-39048: Assignee: (was: Apache Spark) > 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. -- This message was sent by Atlassian Jira (v8.20.7#820007) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
