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https://issues.apache.org/jira/browse/SPARK-61146?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61146:
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Assignee: Hyukjin Kwon
> Create DataFrames of pandas frames whose struct fields repeat names in the
> Python client, as PySpark does
> ---------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61146
> URL: https://issues.apache.org/jira/browse/SPARK-61146
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> PySpark Connect's createDataFrame of a pandas DataFrame under a schema whose
> structs repeat field names, such as struct<x: string, x: int>, converts the
> frame with the deduplicated names (x_0, x_1) of _deduplicate_field_names, and
> sends that Arrow table with the schema as given, which the server applies.
> The Python client converts the frame the same way, but then normalizes the
> table again as an Arrow table of the caller, which may not repeat the field
> names of a struct, and raises:
> UnsupportedOperationException: [DUPLICATED_FIELD_NAME_IN_ARROW_STRUCT]
> Duplicated field names in Arrow Struct are not allowed, got ['x', 'x']
> Apache Spark's test_createDataFrame_pandas_duplicate_field_names of
> test_parity_arrow.py fails on this client.
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