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https://issues.apache.org/jira/browse/SPARK-39469?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-39469:
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Assignee: Apache Spark
> Infer date type for CSV schema inference
> ----------------------------------------
>
> Key: SPARK-39469
> URL: https://issues.apache.org/jira/browse/SPARK-39469
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.2.1
> Reporter: Jonathan Cui
> Assignee: Apache Spark
> Priority: Major
>
> 1. If a column contains only dates, it should be of “date” type in the
> inferred schema
> * If the date format and the timestamp format are identical (e.g. both are
> yyyy/mm/dd), entries will default to being interpreted as Date
> 2. If a column contains dates and timestamps, it should be of “timestamp”
> type in the inferred schema
>
> A similar issue was opened in the past but was reverted due to the lack of
> strict pattern matching.
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