[jira] [Resolved] (SPARK-47079) Unable to create PySpark dataframe containing Variant columns

["Takuya Ueshin (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-47079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Takuya Ueshin resolved SPARK-47079.
-----------------------------------
    Fix Version/s: 4.0.0
       Resolution: Fixed

Issue resolved by pull request 45131
[https://github.com/apache/spark/pull/45131]

> Unable to create PySpark dataframe containing Variant columns
> -------------------------------------------------------------
>
>                 Key: SPARK-47079
>                 URL: https://issues.apache.org/jira/browse/SPARK-47079
>             Project: Spark
>          Issue Type: Bug
>          Components: Connect, PySpark, SQL
>    Affects Versions: 3.5.0
>            Reporter: Desmond Cheong
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 4.0.0
>
>
> Trying to create a dataframe containing a variant type results in:
> AssertionError: Undefined error message parameter for error class: CANNOT_PARSE_DATATYPE. Parameters: {'error': "Undefined error message parameter for error class: CANNOT_PARSE_DATATYPE. Parameters:
> {'error': 'variant'}
> "}



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