comphead commented on code in PR #2760:
URL: https://github.com/apache/datafusion-comet/pull/2760#discussion_r2515239766


##########
docs/source/user-guide/latest/compatibility.md:
##########
@@ -191,3 +191,57 @@ The following cast operations are not compatible with 
Spark for all inputs and a
 
 Any cast not listed in the previous tables is currently unsupported. We are 
working on adding more. See the
 [tracking issue](https://github.com/apache/datafusion-comet/issues/286) for 
more details.
+
+### Complex Type Casting
+
+Comet provides support for casting involving complex types (arrays, structs, 
and maps) with the following rules:
+
+#### Array Type Casting
+
+- **Array to String**: Arrays can be cast to string. The cast is compatible if 
the element type can be cast to string.
+  - Recursively checks that the array element type supports casting to string
+  - Example: `CAST(array(1, 2, 3) AS STRING)` → `"[1, 2, 3]"`
+
+- **Array to Array**: Arrays can be cast to other array types if the element 
types are compatible.
+  - Recursively validates that the source element type can be cast to the 
target element type
+  - Example: `CAST(array(1, 2, 3) AS ARRAY<BIGINT>)` → `array(1L, 2L, 3L)`
+  - The compatibility level (Compatible/Incompatible/Unsupported) is 
determined by the element type cast
+
+- **Special case**: Arrays with `NullType` elements (empty arrays) can be cast 
to any array type
+
+#### Struct Type Casting
+
+- **Struct to Struct**: Structs can be cast to other struct types if all field 
types are compatible.
+  - Requires the same number of fields in source and target structs

Review Comment:
   Thanks @martin-g appreciate if you can provide an example. so it would be 
more clear for the user and we can also track this in the issue as future work 



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