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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2018/10/03 08:29:00 UTC

[jira] [Commented] (SPARK-25600) Make use of TypeCoercion.findTightestCommonType while inferring CSV schema

    [ https://issues.apache.org/jira/browse/SPARK-25600?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16636605#comment-16636605 ] 

Apache Spark commented on SPARK-25600:
--------------------------------------

User 'dilipbiswal' has created a pull request for this issue:
https://github.com/apache/spark/pull/22619

> Make use of TypeCoercion.findTightestCommonType while inferring CSV schema
> --------------------------------------------------------------------------
>
>                 Key: SPARK-25600
>                 URL: https://issues.apache.org/jira/browse/SPARK-25600
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.3.2
>            Reporter: Dilip Biswal
>            Priority: Minor
>
> Current the CSV's infer schema code inlines {{TypeCoercion.findTightestCommonType}}. This is a minor refactor to make use of the common type coercion code when applicable. This way we can take advantage of any improvement to the base method.



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