[
https://issues.apache.org/jira/browse/SPARK-36418?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17397376#comment-17397376
]
Apache Spark commented on SPARK-36418:
--------------------------------------
User 'MaxGekk' has created a pull request for this issue:
https://github.com/apache/spark/pull/33709
> Use CAST in parsing of dates/timestamps with default pattern
> ------------------------------------------------------------
>
> Key: SPARK-36418
> URL: https://issues.apache.org/jira/browse/SPARK-36418
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.0
> Reporter: Max Gekk
> Priority: Major
>
> In functions, CSV/JSON datasources and other places, when the pattern is
> default, use CAST logic in parsing strings to dates/timestamps.
> Currently, TimestampFormatter.getFormatter() applies the default pattern
> *yyyy-MM-dd HH:mm:ss* when the pattern is not set, see
> https://github.com/apache/spark/blob/f2492772baf1d00d802e704f84c22a9c410929e9/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/TimestampFormatter.scala#L344
> . Instead of that, need to create a special formatter which invokes the cast
> logic.
--
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
