feat: support literal for ARRAY top level

Author: comphead

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

@@ -20,6 +20,7 @@ use crate::utils::array_with_timezone;
 use crate::{EvalMode, SparkError, SparkResult};
 use arrow::array::builder::StringBuilder;
 use arrow::array::{DictionaryArray, StringArray, StructArray};
+use arrow::compute::can_cast_types;
 use arrow::datatypes::{DataType, Schema};
 use arrow::{
     array::{
@@ -967,6 +968,9 @@ fn cast_array(
             to_type,
             cast_options,
         )?),
+        (List(_), List(_)) if can_cast_types(from_type, to_type) => {
+            Ok(cast_with_options(&array, to_type, &CAST_OPTIONS)?)
+        }
         (UInt8 | UInt16 | UInt32 | UInt64, Int8 | Int16 | Int32 | Int64)
             if cast_options.allow_cast_unsigned_ints =>
         {

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

@@ -63,6 +63,8 @@ object CometCast {
 
     (fromType, toType) match {
       case (dt: ArrayType, _: ArrayType) if dt.elementType == NullType => Compatible()
+      case (dt: ArrayType, dt1: ArrayType) =>
+        isSupported(dt.elementType, dt1.elementType, timeZoneId, evalMode)
       case (dt: DataType, _) if dt.typeName == "timestamp_ntz" =>
         // https://github.com/apache/datafusion-comet/issues/378
         toType match {