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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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