datafusion_comet_spark_expr/math_funcs/internal/
make_decimal.rs1use crate::math_funcs::utils::get_precision_scale;
19use arrow::datatypes::DataType;
20use arrow::{
21 array::{AsArray, Decimal128Builder},
22 datatypes::{validate_decimal_precision, Int64Type},
23};
24use datafusion::common::{internal_err, Result as DataFusionResult, ScalarValue};
25use datafusion::physical_plan::ColumnarValue;
26use std::sync::Arc;
27
28pub fn spark_make_decimal(
30 args: &[ColumnarValue],
31 data_type: &DataType,
32) -> DataFusionResult<ColumnarValue> {
33 let (precision, scale) = get_precision_scale(data_type);
34 match &args[0] {
35 ColumnarValue::Scalar(v) => match v {
36 ScalarValue::Int64(n) => Ok(ColumnarValue::Scalar(ScalarValue::Decimal128(
37 long_to_decimal(n, precision),
38 precision,
39 scale,
40 ))),
41 sv => internal_err!("Expected Int64 but found {sv:?}"),
42 },
43 ColumnarValue::Array(a) => {
44 let arr = a.as_primitive::<Int64Type>();
45 let mut result = Decimal128Builder::new();
46 for v in arr.into_iter() {
47 result.append_option(long_to_decimal(&v, precision))
48 }
49 let result_type = DataType::Decimal128(precision, scale);
50
51 Ok(ColumnarValue::Array(Arc::new(
52 result.finish().with_data_type(result_type),
53 )))
54 }
55 }
56}
57
58#[inline]
61fn long_to_decimal(v: &Option<i64>, precision: u8) -> Option<i128> {
62 match v {
63 Some(v) if validate_decimal_precision(*v as i128, precision).is_ok() => Some(*v as i128),
64 _ => None,
65 }
66}