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https://issues.apache.org/jira/browse/SPARK-61096?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-61096.
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Resolution: Fixed
Issue resolved by pull request 301
[https://github.com/apache/spark-connect-rust/pull/301]
> Represent GroupedData by its grouping expressions, the types of its DataFrame
> and its type in the Python client as PySpark does
> -------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61096
> URL: https://issues.apache.org/jira/browse/SPARK-61096
> 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, the repr of a {{GroupedData}} names its grouping
> expressions, the columns and types of its DataFrame, and its type:
> {{GroupedData[grouping expressions: [k], value: [k: int, s: string], type:
> GroupBy]}}, of {{GroupBy}}, {{RollUp}}, {{Cube}}, {{GroupingSets}} or
> {{Pivot}}.
> The Rust-backed Python client gives the default repr of an object,
> {{<pyspark.sql.group.GroupedData object at 0x...>}}. Represent it as PySpark
> does.
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