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https://issues.apache.org/jira/browse/SPARK-61006?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61006.
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Resolution: Fixed
Issue resolved by pull request 209
[https://github.com/apache/spark-connect-rust/pull/209]
> Pass the arguments of Python UDF and UDTF calls of the Python client as
> PySpark does
> ------------------------------------------------------------------------------------
>
> Key: SPARK-61006
> URL: https://issues.apache.org/jira/browse/SPARK-61006
> 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
>
>
> In PySpark Connect, a call of a Python UDF or UDTF takes keyword arguments:
> {{UserDefinedFunction.__call__(*args, **kwargs)}} and
> {{UserDefinedTableFunction.__call__(*args, **kwargs)}} send each keyword
> argument as a {{NamedArgumentExpression}}, so that {{plus(a=lit(1),
> b=col("x"))}} calls {{plus}} with {{a}} and {{b}}, and its column is
> {{Column<'plus(a => 1, b => x)'>}}. An argument of a UDTF call is a column or
> a column name, so {{udtf_call("x")}} refers to the column {{x}}.
> The Rust-backed Python client drops the keyword arguments of a UDF call, so
> the call fails on the server with a {{PythonException}} of the missing
> arguments, and its column is {{Column<'plus()'>}}; a UDTF call with keyword
> arguments raises {{TypeError}}; and a UDTF call takes a string as a literal,
> so {{udtf_call("x")}} returns a row of {{'x'}} where PySpark 4.3.0 raises
> {{UNRESOLVED_COLUMN}}. Pass the arguments as PySpark does.
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