[jira] [Commented] (SPARK-42751) Pyspark.pandas.series.str.findall can't handle tuples that are returned by regex

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

    [ https://issues.apache.org/jira/browse/SPARK-42751?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17702394#comment-17702394 ] 

Hyukjin Kwon commented on SPARK-42751:
--------------------------------------

cc [~itholic] FYI

> Pyspark.pandas.series.str.findall can't handle tuples that are returned by regex
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-42751
>                 URL: https://issues.apache.org/jira/browse/SPARK-42751
>             Project: Spark
>          Issue Type: Bug
>          Components: Pandas API on Spark
>    Affects Versions: 3.3.2
>            Reporter: IonK
>            Priority: Major
>
> When you use the str.findall accessor method on a ps.series and you're passing a regex pattern that will return match groups, it will return a pyarrow data error.
> In pandas the result is this:
> {code:java}
> df.to_pandas()[col].str.findall(regex_pattern, flags=re.IGNORECASE)
> returns 
>  [("value", , , , )],
>  [("value", , , , )],
>  [(, , ,"value", )]{code}
>  
> In pyspark.pandas the result is:
> {code:java}
> org.apache.spark.api.python.PythonException: 'pyarrow.lib.ArrowTypeError: Expected bytes, got a 'tuple' object'.{code}
>  
> My temporary workaround is using 
> {code:java}
> df.apply(lambda x: re.findall(regex_pattern, x, flags=re.IGNORECASE)[0]{code}



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