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https://issues.apache.org/jira/browse/SPARK-61152?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61152.
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Resolution: Fixed
Issue resolved by pull request 341
[https://github.com/apache/spark-connect-rust/pull/341]
> mapInPandas, mapInArrow and the grouped and cogrouped applyIn functions
> accept a non-struct return type
> -------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61152
> URL: https://issues.apache.org/jira/browse/SPARK-61152
> 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
>
>
> mapInPandas, mapInArrow, groupBy.applyInPandas, applyInArrow,
> applyInPandasWithState and cogroup.applyInPandas/applyInArrow take a
> non-struct return type such as "int", IntegerType() or ArrayType(...) and
> send the plan to the server, which fails with UnknownException
> (ClassCastException) or IllegalArgumentException "The returnType of the udf
> must be a struct". PySpark checks the return type when it builds the UDF and
> raises PySparkTypeError INVALID_RETURN_TYPE_FOR_PANDAS_UDF
> (INVALID_RETURN_TYPE_FOR_ARROW_UDF for the Arrow functions) on the client, at
> the call. Repro: df.mapInPandas(f, "int").
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