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https://issues.apache.org/jira/browse/SPARK-32285?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17414216#comment-17414216
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Apache Spark commented on SPARK-32285:
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User 'pralabhkumar' has created a pull request for this issue:
https://github.com/apache/spark/pull/33980

> Add PySpark support for nested timestamps with arrow
> ----------------------------------------------------
>
>                 Key: SPARK-32285
>                 URL: https://issues.apache.org/jira/browse/SPARK-32285
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark, SQL
>    Affects Versions: 3.0.0
>            Reporter: Bryan Cutler
>            Assignee: Apache Spark
>            Priority: Major
>
> Currently with arrow optimizations, there is post-processing done in pandas 
> for timestamp columns to localize timezone. This is not done for nested 
> columns with timestamps such as StructType or ArrayType.
> Adding support for this is needed for Apache Arrow 1.0.0 upgrade due to use 
> of structs with timestamps in groupedby key over a window.
> As a simple first step, timestamps with 1 level nesting could be done first 
> and this will satisfy the immediate need.
> NOTE: with Arrow 1.0.0, it might be possible to do the timezone processing 
> with pyarrow.array.cast, which could be easier done than in pandas.



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