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Posted to issues@spark.apache.org by "Anuradha Bhan (Jira)" <ji...@apache.org> on 2022/09/26 07:15:00 UTC
[jira] [Commented] (SPARK-39469) Infer date type for CSV schema inference
[ https://issues.apache.org/jira/browse/SPARK-39469?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17609338#comment-17609338 ]
Anuradha Bhan commented on SPARK-39469:
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[~apachespark] , when will this fix release ? And what is the alternative for 3.1.2 for inferring date type ?
> 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: 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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