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Posted to issues@spark.apache.org by "Kousuke Saruta (Jira)" <ji...@apache.org> on 2021/09/11 13:12:00 UTC
[jira] [Updated] (SPARK-36723) day-time interval types should
respect daylight saving time correctly
[ https://issues.apache.org/jira/browse/SPARK-36723?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kousuke Saruta updated SPARK-36723:
-----------------------------------
Description:
In the current master, day-time interval types handle 24 hours as 1 day regardless of the time zone.
So, some operation with day-time interval data doesn't respect daylight saving time.
{code}
spark-sql> SET spark.sql.legacy.interval.enabled=false;
spark-sql> SET spark.sql.session.timeZone America/Los_Angeles
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
2019-03-11 01:00:00 -- OK. Expected result.
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
2019-03-11 01:00:00 -- Not OK. 2019-03-11 02:00:00 is expected.
{code}
On the other hand, non-ANSI interval types properly handles daylight saving time.
{code}
spark-sql> SET spark.sql.legacy.interval.enabled=true;
spark-sql> SET spark.sql.session.timeZone America/Los_Angeles
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
2019-03-11 01:00:00
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
2019-03-11 02:00:00
{code}
was:
In the current master, day-time interval types handle 24 hours as 1 day regardless of the time zone.
So, some operation with day-time interval data doesn't respect daylight saving time.
{code}
spark-sql> SET spark.sql.legacy.interval.enabled=false;
spark-sql> spark.sql.session.timeZone America/Los_Angeles
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
2019-03-11 01:00:00 -- OK. Expected result.
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
2019-03-11 01:00:00 -- Not OK. 2019-03-11 02:00:00 is expected.
{code}
On the other hand, non-ANSI interval types properly handles daylight saving time.
{code}
spark-sql> SET spark.sql.legacy.interval.enabled=true;
spark-sql> spark.sql.session.timeZone America/Los_Angeles
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
2019-03-11 01:00:00
spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
2019-03-11 02:00:00
{code}
> day-time interval types should respect daylight saving time correctly
> ---------------------------------------------------------------------
>
> Key: SPARK-36723
> URL: https://issues.apache.org/jira/browse/SPARK-36723
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Kousuke Saruta
> Priority: Major
>
> In the current master, day-time interval types handle 24 hours as 1 day regardless of the time zone.
> So, some operation with day-time interval data doesn't respect daylight saving time.
> {code}
> spark-sql> SET spark.sql.legacy.interval.enabled=false;
> spark-sql> SET spark.sql.session.timeZone America/Los_Angeles
> spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
> 2019-03-11 01:00:00 -- OK. Expected result.
> spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
> 2019-03-11 01:00:00 -- Not OK. 2019-03-11 02:00:00 is expected.
> {code}
> On the other hand, non-ANSI interval types properly handles daylight saving time.
> {code}
> spark-sql> SET spark.sql.legacy.interval.enabled=true;
> spark-sql> SET spark.sql.session.timeZone America/Los_Angeles
> spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '1' DAY;
> 2019-03-11 01:00:00
> spark-sql> SELECT timestamp'2019-03-10 01:00:00' + INTERVAL '24' HOUR;
> 2019-03-11 02:00:00
> {code}
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