fix: array to array cast

native/core/src/parquet/parquet_support.rs

@@ -197,6 +197,9 @@ fn parquet_convert_array(
                     .with_timezone(Arc::clone(tz)),
             ))
         }
+        // Keep scan-time nested parquet conversion aligned with Spark's legacy
+        // array<Date> -> array<Int> behavior without affecting scalar Date -> Int casts.
+        (Date32, Int32) => Ok(new_null_array(to_type, array.len())),
         (Map(_, ordered_from), Map(_, ordered_to)) if ordered_from == ordered_to =>
             parquet_convert_map_to_map(array.as_map(), to_type, parquet_options, *ordered_to)
             ,

native/spark-expr/src/conversion_funcs/cast.rs

@@ -294,6 +294,9 @@ pub(crate) fn cast_array(
     };
 
     let cast_result = match (&from_type, to_type) {
+        // Null arrays carry no concrete values, so Arrow's native cast can change only the
+        // logical type while preserving length and nullness.
+        (Null, _) => Ok(cast_with_options(&array, to_type, &native_cast_options)?),
         (Utf8, Boolean) => spark_cast_utf8_to_boolean::<i32>(&array, eval_mode),
         (LargeUtf8, Boolean) => spark_cast_utf8_to_boolean::<i64>(&array, eval_mode),
         (Utf8, Timestamp(_, _)) => {
@@ -366,8 +369,19 @@ pub(crate) fn cast_array(
             cast_options,
         )?),
         (List(_), Utf8) => Ok(cast_array_to_string(array.as_list(), cast_options)?),
-        (List(_), List(_)) if can_cast_types(&from_type, to_type) => {
-            Ok(cast_with_options(&array, to_type, &CAST_OPTIONS)?)
+        (List(_), List(to)) => {
+            let list_array = array.as_list::<i32>();
+            let casted_values = match (list_array.values().data_type(), to.data_type()) {
+                // Spark legacy array casts produce null elements for array<Date> -> array<Int>.
+                (Date32, Int32) => new_null_array(to.data_type(), list_array.values().len()),
+                _ => cast_array(Arc::clone(list_array.values()), to.data_type(), cast_options)?,
+            };
+            Ok(Arc::new(ListArray::new(
+                Arc::clone(to),
+                list_array.offsets().clone(),
+                casted_values,
+                list_array.nulls().cloned(),
+            )) as ArrayRef)
         }
         (Map(_, _), Map(_, _)) => Ok(cast_map_to_map(&array, &from_type, to_type, cast_options)?),
         (UInt8 | UInt16 | UInt32 | UInt64, Int8 | Int16 | Int32 | Int64)
@@ -803,7 +817,8 @@ fn cast_binary_formatter(value: &[u8]) -> String {
 #[cfg(test)]
 mod tests {
     use super::*;
-    use arrow::array::StringArray;
+    use arrow::array::{ListArray, NullArray, StringArray};
+    use arrow::buffer::OffsetBuffer;
     use arrow::datatypes::TimestampMicrosecondType;
     use arrow::datatypes::{Field, Fields};
     #[test]
@@ -929,8 +944,6 @@ mod tests {
 
     #[test]
     fn test_cast_string_array_to_string() {
-        use arrow::array::ListArray;
-        use arrow::buffer::OffsetBuffer;
         let values_array =
             StringArray::from(vec![Some("a"), Some("b"), Some("c"), Some("a"), None, None]);
         let offsets_buffer = OffsetBuffer::<i32>::new(vec![0, 3, 5, 6, 6].into());
@@ -955,8 +968,6 @@ mod tests {
 
     #[test]
     fn test_cast_i32_array_to_string() {
-        use arrow::array::ListArray;
-        use arrow::buffer::OffsetBuffer;
         let values_array = Int32Array::from(vec![Some(1), Some(2), Some(3), Some(1), None, None]);
         let offsets_buffer = OffsetBuffer::<i32>::new(vec![0, 3, 5, 6, 6].into());
         let item_field = Arc::new(Field::new("item", DataType::Int32, true));
@@ -977,4 +988,33 @@ mod tests {
         assert_eq!(r#"[null]"#, string_array.value(2));
         assert_eq!(r#"[]"#, string_array.value(3));
     }
+
+    #[test]
+    fn test_cast_array_of_nulls_to_array() {
+        let offsets_buffer = OffsetBuffer::<i32>::new(vec![0, 2, 3, 3].into());
+        let from_item_field = Arc::new(Field::new("item", DataType::Null, true));
+        let from_array: ArrayRef = Arc::new(ListArray::new(
+            from_item_field,
+            offsets_buffer,
+            Arc::new(NullArray::new(3)),
+            None,
+        ));
+
+        let to_type = DataType::List(Arc::new(Field::new("item", DataType::Int32, true)));
+        let to_array = cast_array(
+            from_array,
+            &to_type,
+            &SparkCastOptions::new(EvalMode::Legacy, "UTC", false),
+        )
+        .unwrap();
+
+        let result = to_array.as_list::<i32>();
+        assert_eq!(3, result.len());
+        assert_eq!(result.value_offsets(), &[0, 2, 3, 3]);
+
+        let values = result.values().as_primitive::<Int32Type>();
+        assert_eq!(3, values.len());
+        assert_eq!(3, values.null_count());
+        assert!(values.iter().all(|value| value.is_none()));
+    }
 }

spark/src/main/scala/org/apache/comet/expressions/CometCast.scala

@@ -141,6 +141,9 @@ object CometCast extends CometExpressionSerde[Cast] with CometExprShim {
 
     (fromType, toType) match {
       case (dt: ArrayType, _: ArrayType) if dt.elementType == NullType => Compatible()
+      case (ArrayType(DataTypes.DateType, _), ArrayType(toElementType, _))
+          if toElementType != DataTypes.IntegerType && toElementType != DataTypes.StringType =>
+        unsupported(fromType, toType)
       case (dt: ArrayType, DataTypes.StringType) if dt.elementType == DataTypes.BinaryType =>
         Incompatible()
       case (dt: ArrayType, DataTypes.StringType) =>