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Posted to issues@spark.apache.org by "Bryan Cutler (JIRA)" <ji...@apache.org> on 2018/04/03 20:28:00 UTC
[jira] [Updated] (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 ]
Bryan Cutler updated SPARK-23858:
---------------------------------
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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