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https://issues.apache.org/jira/browse/ARROW-10963?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Daniel Russo updated ARROW-10963:
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Component/s: (was: Rust)
> [Rust] [DataFusion] Improve the PartailEq implementation for UDF expressions
> ----------------------------------------------------------------------------
>
> Key: ARROW-10963
> URL: https://issues.apache.org/jira/browse/ARROW-10963
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Rust - DataFusion
> Reporter: Daniel Russo
> Priority: Major
>
> An implementation of {{PartialEq}} for {{ScalarUDF}} and {{AggregateUDF}} was
> added in ARROW-10808 ([pull
> request|https://github.com/apache/arrow/pull/8836]), which was a requirement
> for the {{PartialEq}} derivation for {{Expr}}.
> The implementation checks equality on only the UDFs' {{name}} and
> {{signature}} fields: the underlying assumption is two UDFs with the same
> name and signature must be the same UDF. This assumption may hold up in a SQL
> context where UDFs are registered by name (therefore guaranteeing they are
> distinct), however, it doesn't hold up in a general case where there are no
> uniqueness requirements on the name.
> Improve the equality implementation for {{ScalarUDF}} and {{AggregateUDF}}.
> For additional context, see the discussion in the pull request
> [here|https://github.com/apache/arrow/pull/8836#discussion_r536874229].
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