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

Xiaonan Yang created SPARK-40649:
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             Summary: 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
             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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