theirix commented on code in PR #18032:
URL: https://github.com/apache/datafusion/pull/18032#discussion_r2509242678


##########
datafusion/functions/src/math/power.rs:
##########
@@ -91,58 +194,209 @@ impl ScalarUDFImpl for PowerFunc {
     }
 
     fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
-        match arg_types[0] {
-            DataType::Int64 => Ok(DataType::Int64),
-            _ => Ok(DataType::Float64),
+        // Ok(arg_types[0].clone())
+        let [data_type, _] = take_function_args(self.name(), arg_types)?;
+        match data_type {
+            d if d.is_floating() => Ok(DataType::Float64),
+            d if d.is_integer() => Ok(DataType::Int64),
+            d if is_decimal(data_type) => Ok(d.clone()),
+            // DataType::Decimal32(p, s) => Ok(DataType::Decimal32(*p, *s)),
+            // DataType::Decimal64(p, s) => Ok(DataType::Decimal64(*p, 0)),
+            // DataType::Decimal128(p, s) => Ok(DataType::Decimal128(*p, 0)),
+            // DataType::Decimal256(p, s) => Ok(DataType::Decimal256(*p, 0)),
+            other => exec_err!(
+                "Unsupported data type {other:?} for {} function",
+                self.name()
+            ),
         }
     }
 
     fn aliases(&self) -> &[String] {
         &self.aliases
     }
 
+    fn coerce_types(&self, arg_types: &[DataType]) -> Result<Vec<DataType>> {
+        let [arg1, arg2] = take_function_args(self.name(), arg_types)?;
+
+        fn coerced_type_base(name: &str, data_type: &DataType) -> 
Result<DataType> {
+            match data_type {
+                DataType::Null => Ok(DataType::Int64),
+                d if d.is_floating() => Ok(DataType::Float64),
+                d if d.is_integer() => Ok(DataType::Int64),
+                d if is_decimal(d) => Ok(d.clone()),
+                other => {
+                    exec_err!("Unsupported data type {other:?} for {} 
function", name)
+                }
+            }
+        }
+
+        fn coerced_type_exp(name: &str, data_type: &DataType) -> 
Result<DataType> {
+            match data_type {
+                DataType::Null => Ok(DataType::Int64),
+                d if d.is_floating() => Ok(DataType::Float64),
+                d if d.is_integer() => Ok(DataType::Int64),
+                d if is_decimal(d) => Ok(DataType::Float64),
+                other => {
+                    exec_err!("Unsupported data type {other:?} for {} 
function", name)
+                }
+            }
+        }
+
+        Ok(vec![
+            coerced_type_base(self.name(), arg1)?,
+            coerced_type_exp(self.name(), arg2)?,
+        ])
+    }
+
     fn invoke_with_args(&self, args: ScalarFunctionArgs) -> 
Result<ColumnarValue> {
-        let args = ColumnarValue::values_to_arrays(&args.args)?;
+        let base = &args.args[0].to_array(args.number_rows)?;
+        let exponent = &args.args[1];
 
-        let arr: ArrayRef = match args[0].data_type() {
+        let arr: ArrayRef = match base.data_type() {
+            DataType::Float32 => {
+                calculate_binary_math::<Float32Type, Float32Type, Float32Type, 
_>(
+                    base,
+                    exponent,
+                    |b, e| Ok(f32::powf(b, e)),
+                )?
+            }
             DataType::Float64 => {
-                let bases = args[0].as_primitive::<Float64Type>();
-                let exponents = args[1].as_primitive::<Float64Type>();
-                let result = arrow::compute::binary::<_, _, _, Float64Type>(
-                    bases,
-                    exponents,
-                    f64::powf,
-                )?;
-                Arc::new(result) as _
+                calculate_binary_math::<Float64Type, Float64Type, Float64Type, 
_>(
+                    &base,
+                    exponent,
+                    |b, e| Ok(f64::powf(b, e)),
+                )?
+            }
+            DataType::Int32 => {
+                calculate_binary_math::<Int32Type, Int32Type, Int32Type, _>(
+                    &base,
+                    exponent,
+                    |b, e| match e.try_into() {
+                        Ok(exp_u32) => b.pow_checked(exp_u32),
+                        Err(_) => Err(ArrowError::ArithmeticOverflow(format!(
+                            "Exponent {e} in integer computation is out of 
bounds."
+                        ))),
+                    },
+                )?
             }
             DataType::Int64 => {
-                let bases = downcast_named_arg!(&args[0], "base", Int64Array);
-                let exponents = downcast_named_arg!(&args[1], "exponent", 
Int64Array);
-                bases
-                    .iter()
-                    .zip(exponents.iter())
-                    .map(|(base, exp)| match (base, exp) {
-                        (Some(base), Some(exp)) => Ok(Some(base.pow_checked(
-                            exp.try_into().map_err(|_| {
-                                exec_datafusion_err!(
-                                    "Can't use negative exponents: {exp} in 
integer computation, please use Float."
-                                )
-                            })?,
-                        ).map_err(|e| arrow_datafusion_err!(e))?)),
-                        _ => Ok(None),
-                    })
-                    .collect::<Result<Int64Array>>()
-                    .map(Arc::new)? as _
+                calculate_binary_math::<Int64Type, Int64Type, Int64Type, _>(
+                    &base,
+                    exponent,
+                    |b, e| match e.try_into() {
+                        Ok(exp_u32) => b.pow_checked(exp_u32),
+                        Err(_) => Err(ArrowError::ArithmeticOverflow(format!(
+                            "Exponent {e} in integer computation is out of 
bounds."
+                        ))),
+                    },
+                )?
             }
+            DataType::Decimal32(precision, scale) => match 
exponent.data_type() {
+                DataType::Int64 => rescale_decimal(
+                    calculate_binary_math::<Decimal32Type, Int64Type, 
Decimal32Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal32_int(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                DataType::Float64 => rescale_decimal(
+                    calculate_binary_math::<Decimal32Type, Float64Type, 
Decimal32Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal32_float(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                other => {
+                    return exec_err!("Unsupported data type {other:?} for 
exponent")
+                }
+            },
+            DataType::Decimal64(precision, scale) => match 
exponent.data_type() {
+                DataType::Int64 => rescale_decimal(
+                    calculate_binary_math::<Decimal64Type, Int64Type, 
Decimal64Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal64_int(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                DataType::Float64 => rescale_decimal(
+                    calculate_binary_math::<Decimal64Type, Float64Type, 
Decimal64Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal64_float(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                other => {
+                    return exec_err!("Unsupported data type {other:?} for 
exponent")
+                }
+            },
+            DataType::Decimal128(precision, scale) => match 
exponent.data_type() {
+                DataType::Int64 => rescale_decimal(
+                    calculate_binary_math::<Decimal128Type, Int64Type, 
Decimal128Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal128_int(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                DataType::Float64 => rescale_decimal(
+                    calculate_binary_math::<
+                        Decimal128Type,
+                        Float64Type,
+                        Decimal128Type,
+                        _,
+                    >(&base, exponent, |b, e| {
+                        pow_decimal128_float(b, *scale, e)
+                    })?,
+                    *precision,
+                    *scale,
+                )?,
+                other => {
+                    return exec_err!("Unsupported data type {other:?} for 
exponent")
+                }
+            },
+            DataType::Decimal256(precision, scale) => match 
exponent.data_type() {
+                DataType::Int64 => rescale_decimal(
+                    calculate_binary_math::<Decimal256Type, Int64Type, 
Decimal256Type, _>(
+                        &base,
+                        exponent,
+                        |b, e| pow_decimal256_int(b, *scale, e),
+                    )?,
+                    *precision,
+                    *scale,
+                )?,
+                DataType::Float64 => rescale_decimal(
+                    calculate_binary_math::<

Review Comment:
   Introduced a shared wrapper to utils, so it can be reused when moving other 
functions. Code looks nicer now



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