Max Gekk created SPARK-36418:
--------------------------------
Summary: 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
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: [email protected]
For additional commands, e-mail: [email protected]
