coderfender commented on code in PR #3491:
URL: https://github.com/apache/datafusion-comet/pull/3491#discussion_r2828714406
##########
native/spark-expr/src/conversion_funcs/cast.rs:
##########
@@ -1138,25 +1125,26 @@ fn cast_binary_formatter(value: &[u8]) -> String {
/// Determines if DataFusion supports the given cast in a way that is
/// compatible with Spark
fn is_datafusion_spark_compatible(from_type: &DataType, to_type: &DataType) ->
bool {
- if from_type == to_type {
- return true;
- }
- match from_type {
- DataType::Null => {
- matches!(to_type, DataType::List(_))
- }
- DataType::Boolean => matches!(
- to_type,
- DataType::Int8
- | DataType::Int16
- | DataType::Int32
- | DataType::Int64
- | DataType::Float32
- | DataType::Float64
- | DataType::Utf8
- ),
- DataType::Int8 | DataType::Int16 | DataType::Int32 | DataType::Int64
=> {
- matches!(
+ from_type == to_type
Review Comment:
@andygrove , thank you for the comment. Perhaps I got carried away with
making more changes than intended with refactor :) . I have since reverted the
changes and we now have `is_df_cast_spark_bool_compatible` being called instead
of match statement as the only change in that part of the code
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