andygrove commented on code in PR #3491:
URL: https://github.com/apache/datafusion-comet/pull/3491#discussion_r2826792055


##########
native/spark-expr/src/conversion_funcs/cast.rs:
##########
@@ -1138,25 +1125,26 @@ fn cast_binary_formatter(value: &[u8]) -> String {
 /// Determines if DataFusion supports the given cast in a way that is
 /// compatible with Spark
 fn is_datafusion_spark_compatible(from_type: &DataType, to_type: &DataType) -> 
bool {
-    if from_type == to_type {
-        return true;
-    }
-    match from_type {
-        DataType::Null => {
-            matches!(to_type, DataType::List(_))
-        }
-        DataType::Boolean => matches!(
-            to_type,
-            DataType::Int8
-                | DataType::Int16
-                | DataType::Int32
-                | DataType::Int64
-                | DataType::Float32
-                | DataType::Float64
-                | DataType::Utf8
-        ),
-        DataType::Int8 | DataType::Int16 | DataType::Int32 | DataType::Int64 
=> {
-            matches!(
+    from_type == to_type

Review Comment:
   refactoring the `if from_type == to_type` into `from_type == to_type || ...` 
makes the diff much larger due to the indent change to the rest of this 
function. Is it necessary?



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