[
https://issues.apache.org/jira/browse/SPARK-36590?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17404600#comment-17404600
]
Apache Spark commented on SPARK-36590:
--------------------------------------
User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/33838
> Special timestamp_ntz value should be converted in the session tz
> -----------------------------------------------------------------
>
> Key: SPARK-36590
> URL: https://issues.apache.org/jira/browse/SPARK-36590
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Max Gekk
> Assignee: Max Gekk
> Priority: Major
>
> Currently, special timestamp_ntz strings like *today*, *tomorrow*,
> *yesterday* are converted to timestamp_ntz values using JVM timezone which is
> incorrect. The conversion should base on the session time zone. The examples
> below demonstrate the problem:
> {code:sql}
> $ export TZ="Europe/Amsterdam"
> $ ./bin/spark-sql -S
> spark-sql> select timestamp_ntz'now';
> 2021-08-25 18:12:36.233
> spark-sql> set spark.sql.session.timeZone=America/Los_Angeles;
> spark.sql.session.timeZone America/Los_Angeles
> spark-sql> select timestamp_ntz'now';
> 2021-08-25 18:14:40.547
> {code}
> The special timestamp_ntz strings are converted in "Europe/Amsterdam" tz, and
> the converter doesn't respect Spark settings.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
