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Posted to issues@spark.apache.org by "Hyukjin Kwon (Jira)" <ji...@apache.org> on 2024/06/03 01:52:00 UTC

[jira] [Resolved] (SPARK-48489) Throw an user-facing error when reading invalid schema from text DataSource

     [ https://issues.apache.org/jira/browse/SPARK-48489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-48489.
----------------------------------
    Fix Version/s: 4.0.0
       Resolution: Fixed

Issue resolved by pull request 46823
[https://github.com/apache/spark/pull/46823]

> Throw an user-facing error when reading invalid schema from text DataSource
> ---------------------------------------------------------------------------
>
>                 Key: SPARK-48489
>                 URL: https://issues.apache.org/jira/browse/SPARK-48489
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.4.3
>            Reporter: Stefan Bukorovic
>            Assignee: Stefan Bukorovic
>            Priority: Minor
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>
> Text DataSource produces table schema with only 1 column, but it is possible to try and create a table with schema having multiple columns.
> Currently, when user tries this, we have an assert in the code, which fails and throws internal spark error. We should throw a better user-facing error.
>  



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