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Posted to issues@spark.apache.org by "Xiaonan Yang (Jira)" <ji...@apache.org> on 2022/10/04 18:19:00 UTC

[jira] [Resolved] (SPARK-40649) Infer date type for Json schema inference

     [ https://issues.apache.org/jira/browse/SPARK-40649?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiaonan Yang resolved SPARK-40649.
----------------------------------
    Resolution: Duplicate

> Infer date type for Json schema inference
> -----------------------------------------
>
>                 Key: SPARK-40649
>                 URL: https://issues.apache.org/jira/browse/SPARK-40649
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.2.1
>            Reporter: Xiaonan Yang
>            Assignee: Jonathan Cui
>            Priority: Major
>             Fix For: 3.4.0
>
>
> 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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