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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2019/10/08 05:42:20 UTC
[jira] [Resolved] (SPARK-23858) Need to apply pyarrow adjustments
to complex types with DateType/TimestampType
[ https://issues.apache.org/jira/browse/SPARK-23858?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon resolved SPARK-23858.
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Resolution: Incomplete
> 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
> Labels: bulk-closed
>
> 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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