peterxcli opened a new pull request, #5440:
URL: https://github.com/apache/datafusion-comet/pull/5440

   ## Which issue does this PR close?
   
   Closes #5094.
   
   ## Rationale for this change
   
   `DecimalRescaleCheckOverflow` duplicates Arrow's Decimal128 cast kernel, 
including rescaling, HALF_UP rounding, precision validation, and legacy 
overflow nulling. Reusing Arrow's single-pass implementation removes the 
duplicate arithmetic and sentinel/null-masking path while preserving legacy and 
ANSI behavior.
   
   ## What changes are included in this PR?
   
   - Delegate Decimal128 rescaling and precision checks to 
`ColumnarValue::cast_to` with Arrow `CastOptions`.
   - Remove the hand-written rescale, precision-bound, overflow-sentinel, and 
null-masking logic.
   - Add coverage for scale-down rounding that crosses the output precision 
boundary in legacy and ANSI modes.
   - Update the expression audit documentation for the Arrow-backed 
implementation.
   
   ## How are these changes tested?
   
   - `cargo test -p datafusion-comet-spark-expr decimal_rescale_check --lib` 
(15 passed)
   - `cargo fmt --all -- --check`
   - `cargo clippy -p datafusion-comet-spark-expr --all-targets -- -D warnings`
   - `git diff --check`
   - `cargo bench -p datafusion-comet-spark-expr --bench decimal_rescale -- 
--quick`
   
   The quick Criterion run was used as a regression screen. Point estimates 
improved in all measured shapes, although the quick-mode samples were not 
statistically significant:
   
   | Shape | Before | After |
   | --- | ---: | ---: |
   | Scale up, no overflow | 241.92 us | 39.708 us |
   | Scale up, no overflow, nulls | 480.80 us | 45.135 us |
   | Scale down, no overflow | 999.03 us | 42.780 us |
   | Sparse overflow | 374.10 us | 36.719 us |
   | Dense overflow | 364.63 us | 38.451 us |
   | ANSI scale up, no overflow | 155.48 us | 69.466 us |
   


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