aryan-212 opened a new pull request, #19984:
URL: https://github.com/apache/datafusion/pull/19984

   ## Which issue does this PR close?
   
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   - This PR is part of the [Utf8View 
support](https://github.com/apache/datafusion/issues/10918) epic. It adds 
`Utf8View` support in the Spark-compat layer.
   
   ## Rationale for this change
   
   The `SparkConcat` function should accept `Utf8View` and mixed string types 
in line with the main DataFusion concat. This PR adds that support and follows 
the same patterns as [DataFusion’s 
concat](https://github.com/apache/datafusion/blob/main/datafusion/functions/src/string/concat.rs).
   
   ## What changes are included in this PR?
   
   - Extend the type signature to accept `Utf8View` in addition to `Utf8` and 
`LargeUtf8` via `TypeSignature::Variadic(vec![Utf8View, Utf8, LargeUtf8])` 
matching DataFusion’s concat.
   
   - In `return_field_from_args`, compute the result type with precedence 
Utf8View &gt; LargeUtf8 &gt; Utf8.
   In spark_concat, handle Utf8View and LargeUtf8 in scalar paths 
(zero-argument and all-NULL).
   
   
   ## Are these changes tested?
   
   Yes.
   - Unit tests: `cargo test --package datafusion-spark 
function::string::concat::tests`, including `test_concat_utf8view`.
   - Sqllogictest: `spark/string/concat.slt` includes a “**Utf8View: no extra 
CAST in plan**” case that uses EXPLAIN and a temporary table to ensure no extra 
CASTs when using arrow_cast(..., 'Utf8View') with table columns.
   
   ## Are there any user-facing changes?
   
   - **API:** SparkConcat’s signature is extended to include Utf8View in the 
variadic list. No breaking changes.
   
   _used gpt to rephrase some of these points_
   


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