[ https://issues.apache.org/jira/browse/SPARK-40474?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-40474: --------------------------------- Fix Version/s: (was: 3.4.0) > Infer columns with mixed date and timestamp as String in CSV schema inference > ----------------------------------------------------------------------------- > > Key: SPARK-40474 > URL: https://issues.apache.org/jira/browse/SPARK-40474 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.4.0 > Reporter: Xiaonan Yang > Priority: Major > > In this ticket, we introduced the support of date type in CSV schema > inference. The schema inference behavior on date time columns now is: > * For a column only containing dates, we will infer it as Date type > * For a column only containing timestamps, we will infer it as Timestamp type > * For a column containing a mixture of dates and timestamps, we will infer > it as Timestamp type > However, we found that we are too ambitious on the last scenario, to support > which we have introduced much complexity in code and caused a lot of > performance concerns. Thus, we want to simplify the behavior of the last > scenario as: > * For a column containing a mixture of dates and timestamps, we will infer > it as String type -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org