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https://issues.apache.org/jira/browse/SPARK-60949?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-60949:
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Fix Version/s: connect-rust-4.3.0
> Access struct fields as attributes of a Column in Spark Connect Rust as
> PySpark does
> ------------------------------------------------------------------------------------
>
> Key: SPARK-60949
> URL: https://issues.apache.org/jira/browse/SPARK-60949
> 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, an attribute that a Column does not have is the field of
> that name ({{Column.__getattr__}} returns {{self[item]}}): {{F.col("a").b}}
> is {{Column<'a['b']'>}}, and {{F.col("a").b.c}} is {{Column<'a['b']['c']'>}},
> so that {{df.person.name}} selects a field of a struct column. A name that
> starts with {{__}} raises {{PySparkAttributeError}}
> {{ATTRIBUTE_NOT_SUPPORTED}}, and {{_jc}} raises
> {{JVM_ATTRIBUTE_NOT_SUPPORTED}}.
> The Rust-backed Python client raises {{AttributeError}} for every such
> attribute, so {{df.select(F.col("s").field)}} fails. Resolve the attributes
> that a Column does not have as PySpark does.
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