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https://issues.apache.org/jira/browse/SPARK-23858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bryan Cutler updated SPARK-23858:
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Summary: Need to apply pyarrow adjustments to complex types with
DateType/TimestampType (was: Need to apply adjustments to complex types with
DateType/TimestampType )
> Need to apply pyarrow adjustments to complex types with
> DateType/TimestampType
> -------------------------------------------------------------------------------
>
> Key: SPARK-23858
> URL: https://issues.apache.org/jira/browse/SPARK-23858
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark, SQL
> Affects Versions: 2.3.0
> Reporter: Bryan Cutler
> Priority: Major
>
> Currently, ArrayTypes with DateType and TimestampType need to perform the
> same adjustments as simple types, e.g.
> {{_check_series_localize_timestamps}}, and that should work for nested types
> as well.
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