diff --git a/native/core/src/parquet/cast_column.rs b/native/core/src/parquet/cast_column.rs
index a44166a70b..8c62735562 100644
--- a/native/core/src/parquet/cast_column.rs
+++ b/native/core/src/parquet/cast_column.rs
@@ -15,7 +15,10 @@
 // specific language governing permissions and limitations
 // under the License.
 use arrow::{
-    array::{make_array, ArrayRef, TimestampMicrosecondArray, TimestampMillisecondArray},
+    array::{
+        make_array, Array, ArrayRef, LargeListArray, ListArray, MapArray, StructArray,
+        TimestampMicrosecondArray, TimestampMillisecondArray,
+    },
     compute::CastOptions,
     datatypes::{DataType, FieldRef, Schema, TimeUnit},
     record_batch::RecordBatch,
@@ -78,13 +81,66 @@ fn relabel_array(array: ArrayRef, target_type: &DataType) -> ArrayRef {
     if array.data_type() == target_type {
         return array;
     }
-    let data = array.to_data();
-    let new_data = data
-        .into_builder()
-        .data_type(target_type.clone())
-        .build()
-        .expect("relabel_array: data layout must be compatible");
-    make_array(new_data)
+    match target_type {
+        DataType::List(target_field) => {
+            let list = array.as_any().downcast_ref::<ListArray>().unwrap();
+            let values = relabel_array(Arc::clone(list.values()), target_field.data_type());
+            Arc::new(ListArray::new(
+                Arc::clone(target_field),
+                list.offsets().clone(),
+                values,
+                list.nulls().cloned(),
+            ))
+        }
+        DataType::LargeList(target_field) => {
+            let list = array.as_any().downcast_ref::<LargeListArray>().unwrap();
+            let values = relabel_array(Arc::clone(list.values()), target_field.data_type());
+            Arc::new(LargeListArray::new(
+                Arc::clone(target_field),
+                list.offsets().clone(),
+                values,
+                list.nulls().cloned(),
+            ))
+        }
+        DataType::Map(target_entries_field, sorted) => {
+            let map = array.as_any().downcast_ref::<MapArray>().unwrap();
+            let entries = relabel_array(
+                Arc::new(map.entries().clone()),
+                target_entries_field.data_type(),
+            );
+            let entries_struct = entries.as_any().downcast_ref::<StructArray>().unwrap();
+            Arc::new(MapArray::new(
+                Arc::clone(target_entries_field),
+                map.offsets().clone(),
+                entries_struct.clone(),
+                map.nulls().cloned(),
+                *sorted,
+            ))
+        }
+        DataType::Struct(target_fields) => {
+            let struct_arr = array.as_any().downcast_ref::<StructArray>().unwrap();
+            let columns: Vec<ArrayRef> = target_fields
+                .iter()
+                .zip(struct_arr.columns())
+                .map(|(tf, col)| relabel_array(Arc::clone(col), tf.data_type()))
+                .collect();
+            Arc::new(StructArray::new(
+                target_fields.clone(),
+                columns,
+                struct_arr.nulls().cloned(),
+            ))
+        }
+        // Primitive types - shallow swap is safe
+        _ => {
+            let data = array.to_data();
+            let new_data = data
+                .into_builder()
+                .data_type(target_type.clone())
+                .build()
+                .expect("relabel_array: data layout must be compatible");
+            make_array(new_data)
+        }
+    }
 }
 
 /// Casts a Timestamp(Microsecond) array to Timestamp(Millisecond) by dividing values by 1000.
@@ -300,8 +356,8 @@ impl PhysicalExpr for CometCastColumnExpr {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use arrow::array::Array;
-    use arrow::datatypes::Field;
+    use arrow::array::{Array, Int32Array, StringArray};
+    use arrow::datatypes::{Field, Fields};
     use datafusion::physical_expr::expressions::Column;
 
     #[test]
@@ -455,4 +511,129 @@ mod tests {
             _ => panic!("Expected Scalar result"),
         }
     }
+
+    #[test]
+    fn test_relabel_list_field_name() {
+        // Physical: List(Field("item", Int32))
+        // Logical:  List(Field("element", Int32))
+        let physical_field = Arc::new(Field::new("item", DataType::Int32, true));
+        let logical_field = Arc::new(Field::new("element", DataType::Int32, true));
+
+        let values = Int32Array::from(vec![1, 2, 3]);
+        let list = ListArray::new(
+            physical_field,
+            arrow::buffer::OffsetBuffer::new(vec![0, 2, 3].into()),
+            Arc::new(values),
+            None,
+        );
+        let array: ArrayRef = Arc::new(list);
+
+        let target_type = DataType::List(logical_field.clone());
+        let result = relabel_array(array, &target_type);
+        assert_eq!(result.data_type(), &target_type);
+    }
+
+    #[test]
+    fn test_relabel_map_entries_field_name() {
+        // Physical: Map(Field("key_value", Struct{key, value}))
+        // Logical:  Map(Field("entries", Struct{key, value}))
+        let key_field = Arc::new(Field::new("key", DataType::Utf8, false));
+        let value_field = Arc::new(Field::new("value", DataType::Int32, true));
+        let struct_fields = Fields::from(vec![key_field.clone(), value_field.clone()]);
+
+        let physical_entries_field = Arc::new(Field::new(
+            "key_value",
+            DataType::Struct(struct_fields.clone()),
+            false,
+        ));
+        let logical_entries_field = Arc::new(Field::new(
+            "entries",
+            DataType::Struct(struct_fields.clone()),
+            false,
+        ));
+
+        let keys = StringArray::from(vec!["a", "b"]);
+        let values = Int32Array::from(vec![1, 2]);
+        let entries = StructArray::new(struct_fields, vec![Arc::new(keys), Arc::new(values)], None);
+        let map = MapArray::new(
+            physical_entries_field,
+            arrow::buffer::OffsetBuffer::new(vec![0, 2].into()),
+            entries,
+            None,
+            false,
+        );
+        let array: ArrayRef = Arc::new(map);
+
+        let target_type = DataType::Map(logical_entries_field, false);
+        let result = relabel_array(array, &target_type);
+        assert_eq!(result.data_type(), &target_type);
+    }
+
+    #[test]
+    fn test_relabel_struct_metadata() {
+        // Physical: Struct { Field("a", Int32, metadata={"PARQUET:field_id": "1"}) }
+        // Logical:  Struct { Field("a", Int32, metadata={}) }
+        let mut metadata = std::collections::HashMap::new();
+        metadata.insert("PARQUET:field_id".to_string(), "1".to_string());
+        let physical_field =
+            Arc::new(Field::new("a", DataType::Int32, true).with_metadata(metadata));
+        let logical_field = Arc::new(Field::new("a", DataType::Int32, true));
+
+        let col = Int32Array::from(vec![10, 20]);
+        let physical_fields = Fields::from(vec![physical_field]);
+        let logical_fields = Fields::from(vec![logical_field]);
+
+        let struct_arr = StructArray::new(physical_fields, vec![Arc::new(col)], None);
+        let array: ArrayRef = Arc::new(struct_arr);
+
+        let target_type = DataType::Struct(logical_fields);
+        let result = relabel_array(array, &target_type);
+        assert_eq!(result.data_type(), &target_type);
+    }
+
+    #[test]
+    fn test_relabel_nested_struct_containing_list() {
+        // Physical: Struct { Field("col", List(Field("item", Int32))) }
+        // Logical:  Struct { Field("col", List(Field("element", Int32))) }
+        let physical_list_field = Arc::new(Field::new("item", DataType::Int32, true));
+        let logical_list_field = Arc::new(Field::new("element", DataType::Int32, true));
+
+        let physical_struct_field = Arc::new(Field::new(
+            "col",
+            DataType::List(physical_list_field.clone()),
+            true,
+        ));
+        let logical_struct_field = Arc::new(Field::new(
+            "col",
+            DataType::List(logical_list_field.clone()),
+            true,
+        ));
+
+        let values = Int32Array::from(vec![1, 2, 3]);
+        let list = ListArray::new(
+            physical_list_field,
+            arrow::buffer::OffsetBuffer::new(vec![0, 2, 3].into()),
+            Arc::new(values),
+            None,
+        );
+
+        let physical_fields = Fields::from(vec![physical_struct_field]);
+        let logical_fields = Fields::from(vec![logical_struct_field]);
+
+        let struct_arr = StructArray::new(physical_fields, vec![Arc::new(list) as ArrayRef], None);
+        let array: ArrayRef = Arc::new(struct_arr);
+
+        let target_type = DataType::Struct(logical_fields);
+        let result = relabel_array(array, &target_type);
+        assert_eq!(result.data_type(), &target_type);
+
+        // Verify we can access the nested data without panics
+        let result_struct = result.as_any().downcast_ref::<StructArray>().unwrap();
+        let result_list = result_struct
+            .column(0)
+            .as_any()
+            .downcast_ref::<ListArray>()
+            .unwrap();
+        assert_eq!(result_list.len(), 2);
+    }
 }