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https://issues.apache.org/jira/browse/SPARK-61015?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61015:
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Fix Version/s: connect-rust-4.3.0
> Take a column name or a Column for the ids and values of unpivot and melt,
> and the subset of replace, in the Python client as PySpark does
> ------------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61015
> URL: https://issues.apache.org/jira/browse/SPARK-61015
> 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, the {{ids}} and {{values}} of {{df.unpivot(ids, values,
> variableColumnName, valueColumnName)}} and {{df.melt(...)}} are a column
> name, a Column, or a list or tuple of them, and the {{subset}} of
> {{df.replace(to_replace, value, subset)}} is a column name or a list or tuple
> of them.
> The Rust-backed Python client takes only lists: {{df.unpivot("id", ["v"],
> "var", "val")}} raises {{TypeError: argument 'ids': Can't extract `str` to
> `Vec`}}, as does {{df.replace("a", "z", "k")}} for its subset. Take them as
> PySpark does.
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