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https://issues.apache.org/jira/browse/SPARK-60912?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-60912:
-----------------------------------
Labels: pull-request-available (was: )
> Make Row in Spark Connect Rust behave as PySpark's Row
> ------------------------------------------------------
>
> Key: SPARK-60912
> URL: https://issues.apache.org/jira/browse/SPARK-60912
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> PySpark's {{Row}} is a {{tuple}} subclass. The Rust-backed Python client's
> {{Row}} differs from it in these PySpark 4.3.0 results:
> * {{repr()}} and {{str()}} give {{Row(x=1, y='a')}}, with the {{repr()}} of
> each value, and {{<Row(1, 2)>}} for a row without field names. The client
> gives {{[1, a]}} and {{[1, 2]}}, and shows a date as its day number, {{None}}
> as {{NULL}} and bytes as a list of numbers. So
> {{print(spark.range(1).collect())}} prints {{[[0]]}}, not {{[Row(id=0)]}}.
> * {{Row("a", "b")}} is a row class: {{Row("a", "b")(1, 2)}} gives {{Row(a=1,
> b=2)}}. The client raises {{TypeError}}, as its row is not callable.
> * A row is hashable, orders as the tuple of its values does, as in
> {{sorted(rows)}}, equals that tuple, and pickles. The client raises
> {{TypeError}} for {{hash()}}, {{<}} and {{pickle.dumps()}}, and {{Row(x=1) ==
> (1,)}} is false.
> * Slicing and concatenation give tuples, as in {{r[0:1]}} and {{r + (3,)}}.
> The client raises {{KeyError}} and {{TypeError}}.
> * {{"x" in r}} tests the field names of a row that has them. The client tests
> the values.
> * {{Row(1, 2).asDict()}} raises {{CANNOT_CONVERT_TYPE}}. The client returns a
> dict keyed by {{_1}} and {{_2}}.
> * A missing field raises {{PySparkAttributeError}}
> ({{ATTRIBUTE_NOT_SUPPORTED}}) for {{r.missing}}, and {{PySparkValueError}}
> for {{r["missing"]}}. The client raises a plain {{AttributeError}} and a
> {{KeyError}}.
> Make the client's {{Row}} behave as PySpark's. {{isinstance(r, tuple)}} stays
> false, as a PyO3 class cannot subclass {{tuple}}.
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