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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2021/08/11 14:06:00 UTC
[jira] [Commented] (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: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.
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