0lai0 commented on code in PR #5193:
URL: https://github.com/apache/datafusion-comet/pull/5193#discussion_r3699373500
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native/spark-expr/src/math_funcs/internal/make_decimal.rs:
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@@ -45,14 +47,41 @@ pub fn spark_make_decimal(
ColumnarValue::Array(a) => match a.data_type() {
DataType::Int64 => {
let arr = a.as_primitive::<Int64Type>();
- let mut result = Decimal128Builder::new();
- for v in arr.into_iter() {
- result.append_option(long_to_decimal(v, precision, scale,
fail_on_error)?)
- }
let result_type = DataType::Decimal128(precision, scale);
+ // The Int64 is already the unscaled Decimal128 value, so we
only reinterpret
+ // the bits (an Arrow Int64->Decimal cast would rescale the
value). Both arity
+ // helpers reuse the input null buffer and only invoke the
closure on valid rows.
+ let result: Decimal128Array = if fail_on_error {
Review Comment:
`make_decimal` update in
https://github.com/apache/datafusion-comet/pull/5193/changes/abde5801a1f8184d48817804f30d72f5eecbe6e2
`unary `+ scan update in
https://github.com/apache/datafusion-comet/pull/5193/changes/89873f85283b1e8154cad7207af0bc26e7d219f2
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