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Posted to issues@spark.apache.org by "Maxim Gekk (Jira)" <ji...@apache.org> on 2021/03/02 13:03:00 UTC
[jira] [Issue Comment Deleted] (SPARK-27790) Support ANSI SQL
INTERVAL types
[ https://issues.apache.org/jira/browse/SPARK-27790?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Maxim Gekk updated SPARK-27790:
-------------------------------
Comment: was deleted
(was: I am working on it.)
> Support ANSI SQL INTERVAL types
> -------------------------------
>
> Key: SPARK-27790
> URL: https://issues.apache.org/jira/browse/SPARK-27790
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Maxim Gekk
> Assignee: Apache Spark
> Priority: Major
>
> Spark has an INTERVAL data type, but it is “broken”:
> # It cannot be persisted
> # It is not comparable because it crosses the month day line. That is there is no telling whether “1 Month 1 Day” is equal to “1 Month 1 Day” since not all months have the same number of days.
> I propose here to introduce the two flavours of INTERVAL as described in the ANSI SQL Standard and deprecate the Sparks interval type.
> * ANSI describes two non overlapping “classes”:
> * YEAR-MONTH,
> * DAY-SECOND ranges
> * Members within each class can be compared and sorted.
> * Supports datetime arithmetic
> * Can be persisted.
> The old and new flavors of INTERVAL can coexist until Spark INTERVAL is eventually retired. Also any semantic “breakage” can be controlled via legacy config settings.
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