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Posted to issues@spark.apache.org by "Desmond Cheong (Jira)" <ji...@apache.org> on 2024/02/17 01:48:00 UTC
[jira] [Updated] (SPARK-47079) Unable to create PySpark dataframe containing Variant columns
[ https://issues.apache.org/jira/browse/SPARK-47079?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Desmond Cheong updated SPARK-47079:
-----------------------------------
Description:
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'}"}{}}}.
> 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
>
> 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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