[jira] [Resolved] (SPARK-44856) Improve Python UDTF arrow serializer performance

["Hyukjin Kwon (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-44856?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-44856.
----------------------------------
    Fix Version/s: 4.1.0
       Resolution: Fixed

Issue resolved by pull request 50099
[https://github.com/apache/spark/pull/50099]

> Improve Python UDTF arrow serializer performance
> ------------------------------------------------
>
>                 Key: SPARK-44856
>                 URL: https://issues.apache.org/jira/browse/SPARK-44856
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark
>    Affects Versions: 3.5.0, 4.0.0
>            Reporter: Allison Wang
>            Assignee: Michael Zhang
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.1.0
>
>
> Currently, there is a lot of overhead in the arrow serializer for Python UDTFs. The overhead is largely from converting arrow batches into pandas series and converting UDTF's results back to a pandas dataframe.
> We should try directly converting Python object into arrow and vice versa to avoid the expensive pandas conversion. Similar to this converter: [https://github.com/apache/spark/blob/be04ac1ace91f6da34b08a1510e41d3ab6f0377b/python/pyspark/sql/connect/conversion.py#L56]
>  



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