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https://issues.apache.org/jira/browse/SPARK-61053?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61053:
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Fix Version/s: connect-rust-4.3.0
> Take the arguments of overwrite, partitionedBy and tableProperty of
> DataFrameWriterV2 in the Python client as PySpark does
> --------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61053
> URL: https://issues.apache.org/jira/browse/SPARK-61053
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> In PySpark Connect, {{DataFrameWriterV2.overwrite(condition)}} takes a Column
> or a column name, as {{F._to_col}} does, and {{partitionedBy(col, *cols)}} a
> Column or a column name of each argument, else {{NOT_EXPECTED_TYPE}} of
> {{col}}, also for a list. {{tableProperty(property, None)}} leaves the
> property unset.
> The Rust-backed Python client raises a {{TypeError}} for a str condition of
> {{overwrite}}, takes a list of columns in {{partitionedBy}}, names the
> argument of its error {{cols}}, and raises a {{TypeError}} for a property of
> None. Take them as PySpark does.
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