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https://issues.apache.org/jira/browse/SPARK-61045?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61045.
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Resolution: Fixed
Issue resolved by pull request 246
[https://github.com/apache/spark-connect-rust/pull/246]
> Take the arguments of colRegex, metadataColumn, where and transpose in the
> Python client as PySpark does
> --------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61045
> URL: https://issues.apache.org/jira/browse/SPARK-61045
> 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, {{df.colRegex(colName)}} and
> {{df.metadataColumn(colName)}} raise {{NOT_EXPECTED_TYPE}} of {{colName}} for
> one that is not a str, {{df.where(condition)}} raises {{NOT_EXPECTED_TYPE}}
> of {{condition}} for one that is neither a Column nor a str, and
> {{df.transpose(indexColumn)}} takes a Column or a column name, else
> {{NOT_EXPECTED_TYPE}} of {{col}}.
> The Rust-backed Python client raises a {{TypeError}} for these, and for a
> column name of {{transpose}}, as {{df.transpose("id")}}. Take them as PySpark
> does.
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