fix: apply Spark's Parquet conversion rules to nested struct/list/map fields

docs/source/user-guide/latest/compatibility/scans.md

@@ -102,6 +102,10 @@ and `INT32 → DOUBLE` widening that Spark 4.0+ accepts unconditionally; `Timest
 is rejected by Spark 3.x but accepted by Spark 4.0+). Comet aims to follow the per-version Spark
 behavior.
 
+- **List conversion error paths assume Spark's standard encoding**. Comet inserts `list`
+  before the element name when reporting a rejected array element conversion. Arrow's schema
+  omits the repeated group name, so paths for legacy LIST encodings or custom group names may
+  differ from Spark's Parquet column path.
 - **`ParquetSchemaConvert` errors do not include the file path**. The mismatch itself is detected and
   rejected correctly, but the resulting Spark error message reads
   `Encountered error while reading file . Data type mismatches…` (note the empty path). Behavior is

native/core/src/execution/planner.rs

@@ -6802,7 +6802,8 @@ mod tests {
      */
     #[tokio::test]
     async fn test_nested_types_list_of_struct_by_index() -> Result<(), DataFusionError> {
-        let test_data = "select make_array(named_struct('a', 1, 'b', 'n', 'c', 'x')) c0";
+        let test_data =
+            "select make_array(named_struct('a', cast(1 as int), 'b', 'n', 'c', 'x')) c0";
 
         // Define schema Comet reads with
         let required_schema = Schema::new(Fields::from(vec![Field::new(