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Posted to issues@spark.apache.org by "Wenchen Fan (Jira)" <ji...@apache.org> on 2021/08/16 15:31:00 UTC
[jira] [Resolved] (SPARK-36418) Use CAST in parsing of
dates/timestamps with default pattern
[ https://issues.apache.org/jira/browse/SPARK-36418?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan resolved SPARK-36418.
---------------------------------
Fix Version/s: 3.3.0
Resolution: Fixed
Issue resolved by pull request 33709
[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
> Assignee: Max Gekk
> Priority: Major
> Fix For: 3.3.0
>
>
> 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.
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