[jira] [Commented] (SPARK-32285) Add PySpark support for nested timestamps with arrow

["Micah Kornfield (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-32285?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17160546#comment-17160546 ] 

Micah Kornfield commented on SPARK-32285:
-----------------------------------------

I'll try to take a look at this next week and see if I can get a PR ready.

> Add PySpark support for nested timestamps with arrow
> ----------------------------------------------------
>
>                 Key: SPARK-32285
>                 URL: https://issues.apache.org/jira/browse/SPARK-32285
>             Project: Spark
>          Issue Type: Sub-task
>          Components: PySpark, SQL
>    Affects Versions: 3.0.0
>            Reporter: Bryan Cutler
>            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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