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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/03/16 22:53:04 UTC
[jira] [Updated] (SPARK-27882) Support SQL:2016 compatible datetime
patterns
[ https://issues.apache.org/jira/browse/SPARK-27882?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-27882:
----------------------------------
Affects Version/s: (was: 3.0.0)
3.1.0
> Support SQL:2016 compatible datetime patterns
> ---------------------------------------------
>
> Key: SPARK-27882
> URL: https://issues.apache.org/jira/browse/SPARK-27882
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Peter Toth
> Priority: Major
>
> Date and time related functions in Spark use [DateTimeFormatter|https://docs.oracle.com/javase/8/docs/api/java/time/format/DateTimeFormatter.html] to parse and format dates where a pattern is defined. Unfortunately, it is not entirely compatible with the SQL:2016 standard.
> There is an initiative in Impala: IMPALA-4018 and Hive HIVE-21575 to support SQL:2016 patterns as both these systems lack this feature currently.
> The [Impala design document|https://docs.google.com/document/d/1V7k6-lrPGW7_uhqM-FhKl3QsxwCRy69v2KIxPsGjc1k/edit] and [compatibility matrix|https://docs.google.com/spreadsheets/d/1lD4EcVaTp-qtm0JYPTPfhqYrwwNl0qJHHYP8dICS9EY/edit#gid=0] created by [~gaborkaszab] covers how the compliance with the standard can be achieved and how do other databases support this standard. I believe these documents are very useful for Spark community as well.
> Since Hive is also JVM based I also see an option to share some code that does the parsing/formatting according to the standard.
> (Please note that format patterns are just one part of these tickets, the other part about `CAST (... FORMAT <pattern>)` function, which is also part of the SQL:2016 standard, is covered here: SPARK-27881)
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