lyne7-sc opened a new pull request, #23549:
URL: https://github.com/apache/datafusion/pull/23549

   ## Which issue does this PR close?
   
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   - Follow-up to #22905.
   
   ## Rationale for this change
   
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   #22905 introduced explicit dictionary encoding preservation for coercible 
function signatures, but dictionary inputs were still handled differently 
across `TypeSignatureClass` variants:
   
   | Signature category | Before | After |
   | --- | --- | --- |
   | `Native(...)` | Materialized by default; preserved when explicitly 
requested | Same default/opt-in contract |
   | Typed non-Native (e.g. `Integer`, `Numeric`, `Binary`) | Retained the 
physical dictionary type by default | Materialized by default; preserved when 
explicitly requested |
   | `Any` | Passed through the original physical input type | Unchanged |
   
   This PR makes the encoding preservation contract consistent across all typed 
signature classes: coercion operates on the dictionary value type, and the 
dictionary encoding is restored only when `EncodingPreservation::dictionary()` 
is enabled.
   
   An audit of the affected built-ins found two functions, Spark hex and 
bitmap_count, that intentionally handle dictionary inputs; both now opt in 
explicitly. Other affected functions generally expect materialized value 
arrays, so the new default also avoids cases where signature matching accepted 
a dictionary but the function implementation rejected it at execution time. 
Functions that continue to materialize dictionary inputs do not gain 
dictionary-aware execution efficiency yet, but they can opt in later if they 
add support for encoded inputs.
   
   ## What changes are included in this PR?
   
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   There is no need to duplicate the description in the issue here but it is 
sometimes worth providing a summary of the individual changes in this PR.
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   - Align dictionary coercion across typed signature classes and preserve 
dictionary encoding when explicitly requested.
   - Explicitly enable dictionary preservation for Spark `bitmap_count` and the 
binary variant of Spark `hex`.
   - Document the behavior change and migration guidance in the DataFusion 
55.0.0 upgrade guide.
   
   ## Are these changes tested?
   
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   - Unit tests cover materialization and preservation for Native, non-Native, 
and `Any` inputs. 
   - SLTs cover `to_hex` materialization and verify that `bitmap_count` 
preserves its dictionary input without an additional cast to `Binary`.
   - Existing Spark `hex` dictionary tests cover its opt-in preservation 
behavior.
   
   ## Are there any user-facing changes?
   
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updated before approving the PR.
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   <!--
   If there are any breaking changes to public APIs, please add the `api 
change` label.
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   This is a behavioral API change for UDFs using typed non-Native classes such 
as `Integer` or `Binary`. UDFs relying on implicit dictionary preservation must 
now enable `EncodingPreservation::dictionary()` explicitly.
   
   `TypeSignatureClass::Any` is unaffected. The upgrade guide has been updated, 
and this PR should carry the `api change` label.


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