[jira] [Assigned] (SPARK-43574) Support to set Python executable in workers during runtime

["Dongjoon Hyun (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-43574?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Dongjoon Hyun reassigned SPARK-43574:
-------------------------------------

    Assignee: Hyukjin Kwon

> Support to set  Python executable in workers during runtime
> -----------------------------------------------------------
>
>                 Key: SPARK-43574
>                 URL: https://issues.apache.org/jira/browse/SPARK-43574
>             Project: Spark
>          Issue Type: New Feature
>          Components: PySpark
>    Affects Versions: 3.5.0
>            Reporter: Hyukjin Kwon
>            Assignee: Hyukjin Kwon
>            Priority: Major
>
> For Python UDF, we can support runtime configuration to set Python workers. It will create a new Python worker if the configuration is changed.
> This is especially useful when you want to run Spark with different dependencies during runtime. See also https://www.databricks.com/blog/2020/12/22/how-to-manage-python-dependencies-in-pyspark.html



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