[
https://issues.apache.org/jira/browse/SPARK-28516?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Wenchen Fan resolved SPARK-28516.
---------------------------------
Fix Version/s: 3.4.0
Resolution: Fixed
Issue resolved by pull request 36365
[https://github.com/apache/spark/pull/36365]
> Data Type Formatting Functions: `to_char`
> -----------------------------------------
>
> Key: SPARK-28516
> URL: https://issues.apache.org/jira/browse/SPARK-28516
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Dylan Guedes
> Priority: Major
> Fix For: 3.4.0
>
>
> Currently, Spark does not have support for `to_char`. PgSQL, however,
> [does|[https://www.postgresql.org/docs/12/functions-formatting.html]]:
> Query example:
> {code:sql}
> SELECT to_char(SUM(n) OVER (ORDER BY i ROWS BETWEEN CURRENT ROW AND 1
> FOLLOWING),'999999999999999999999D9')
> {code}
> ||Function||Return Type||Description||Example||
> |{{to_char(}}{{timestamp}}{{, }}{{text}}{{)}}|{{text}}|convert time stamp to
> string|{{to_char(current_timestamp, 'HH12:MI:SS')}}|
> |{{to_char(}}{{interval}}{{, }}{{text}}{{)}}|{{text}}|convert interval to
> string|{{to_char(interval '15h 2m 12s', 'HH24:MI:SS')}}|
> |{{to_char(}}{{int}}{{, }}{{text}}{{)}}|{{text}}|convert integer to
> string|{{to_char(125, '999')}}|
> |{{to_char}}{{(}}{{double precision}}{{, }}{{text}}{{)}}|{{text}}|convert
> real/double precision to string|{{to_char(125.8::real, '999D9')}}|
> |{{to_char(}}{{numeric}}{{, }}{{text}}{{)}}|{{text}}|convert numeric to
> string|{{to_char(-125.8, '999D99S')}}|
--
This message was sent by Atlassian Jira
(v8.20.7#820007)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
