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Posted to issues@spark.apache.org by "Maxim Gekk (JIRA)" <ji...@apache.org> on 2019/08/02 10:38:00 UTC

[jira] [Commented] (SPARK-28017) Enhance EXTRACT/DATE_TRUNC

    [ https://issues.apache.org/jira/browse/SPARK-28017?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16898780#comment-16898780 ] 

Maxim Gekk commented on SPARK-28017:
------------------------------------

I am working on DATE_TRUNC now.

> Enhance EXTRACT/DATE_TRUNC
> --------------------------
>
>                 Key: SPARK-28017
>                 URL: https://issues.apache.org/jira/browse/SPARK-28017
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 3.0.0
>            Reporter: Yuming Wang
>            Priority: Major
>
> 1. For EXTRACT:
> Currently, we support these field: YEAR, QUARTER, MONTH, WEEK, DAY, DAYOFWEEK, HOUR, MINUTE, SECOND.
> We also need support: EPOCH, CENTURY, MILLENNIUM, DECADE, MICROSECONDS, MILLISECONDS, DOW, ISODOW, DOY, TIMEZONE, TIMEZONE_M, TIMEZONE_H, JULIAN, ISOYEAR.
> https://www.postgresql.org/docs/11/functions-datetime.html#FUNCTIONS-DATETIME-EXTRACT
> 2. For DATE_TRUNC:
> We also need support: microseconds, milliseconds, decade, century, millennium.
> https://www.postgresql.org/docs/11/functions-datetime.html#FUNCTIONS-DATETIME-TRUNC



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