rohitrastogi commented on code in PR #399:
URL: https://github.com/apache/datafusion-comet/pull/399#discussion_r1593390909
##########
core/src/execution/datafusion/expressions/cast.rs:
##########
@@ -191,44 +191,219 @@ macro_rules! cast_int_to_int_macro {
.as_any()
.downcast_ref::<PrimitiveArray<$from_arrow_primitive_type>>()
.unwrap();
+
let spark_int_literal_suffix = match $from_data_type {
&DataType::Int64 => "L",
&DataType::Int16 => "S",
&DataType::Int8 => "T",
_ => "",
};
- let output_array = match $eval_mode {
- EvalMode::Legacy => cast_array
- .iter()
- .map(|value| match value {
- Some(value) => {
- Ok::<Option<$to_native_type>, CometError>(Some(value
as $to_native_type))
- }
- _ => Ok(None),
- })
- .collect::<Result<PrimitiveArray<$to_arrow_primitive_type>,
_>>(),
- _ => cast_array
- .iter()
- .map(|value| match value {
- Some(value) => {
+ let output_array = cast_array
Review Comment:
Unrelated: Made function a little bit more idiomatic and used new
cast_overflow() function instead of directly using CastOverFlow struct.
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