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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.
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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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