datafusion_functions/math/
abs.rs1use std::any::Any;
21use std::sync::Arc;
22
23use arrow::array::{
24 ArrayRef, Decimal32Array, Decimal64Array, Decimal128Array, Decimal256Array,
25 Float16Array, Float32Array, Float64Array, Int8Array, Int16Array, Int32Array,
26 Int64Array,
27};
28use arrow::datatypes::DataType;
29use arrow::error::ArrowError;
30use datafusion_common::{Result, not_impl_err, utils::take_function_args};
31use datafusion_expr::interval_arithmetic::Interval;
32use datafusion_expr::sort_properties::{ExprProperties, SortProperties};
33use datafusion_expr::{
34 ColumnarValue, Documentation, ScalarFunctionArgs, ScalarUDFImpl, Signature,
35 Volatility,
36};
37use datafusion_macros::user_doc;
38use num_traits::sign::Signed;
39
40type MathArrayFunction = fn(&ArrayRef) -> Result<ArrayRef>;
41
42#[macro_export]
43macro_rules! make_abs_function {
44 ($ARRAY_TYPE:ident) => {{
45 |input: &ArrayRef| {
46 let array = downcast_named_arg!(&input, "abs arg", $ARRAY_TYPE);
47 let res: $ARRAY_TYPE = array.unary(|x| x.abs());
48 Ok(Arc::new(res) as ArrayRef)
49 }
50 }};
51}
52
53macro_rules! make_try_abs_function {
54 ($ARRAY_TYPE:ident) => {{
55 |input: &ArrayRef| {
56 let array = downcast_named_arg!(&input, "abs arg", $ARRAY_TYPE);
57 let res: $ARRAY_TYPE = array.try_unary(|x| {
58 x.checked_abs().ok_or_else(|| {
59 ArrowError::ComputeError(format!(
60 "{} overflow on abs({})",
61 stringify!($ARRAY_TYPE),
62 x
63 ))
64 })
65 })?;
66 Ok(Arc::new(res) as ArrayRef)
67 }
68 }};
69}
70
71#[macro_export]
72macro_rules! make_wrapping_abs_function {
73 ($ARRAY_TYPE:ident) => {{
74 |input: &ArrayRef| {
75 let array = downcast_named_arg!(&input, "abs arg", $ARRAY_TYPE);
76 let res: $ARRAY_TYPE = array
77 .unary(|x| x.wrapping_abs())
78 .with_data_type(input.data_type().clone());
79 Ok(Arc::new(res) as ArrayRef)
80 }
81 }};
82}
83
84fn create_abs_function(input_data_type: &DataType) -> Result<MathArrayFunction> {
87 match input_data_type {
88 DataType::Float16 => Ok(make_abs_function!(Float16Array)),
89 DataType::Float32 => Ok(make_abs_function!(Float32Array)),
90 DataType::Float64 => Ok(make_abs_function!(Float64Array)),
91
92 DataType::Int8 => Ok(make_try_abs_function!(Int8Array)),
94 DataType::Int16 => Ok(make_try_abs_function!(Int16Array)),
95 DataType::Int32 => Ok(make_try_abs_function!(Int32Array)),
96 DataType::Int64 => Ok(make_try_abs_function!(Int64Array)),
97
98 DataType::Null
100 | DataType::UInt8
101 | DataType::UInt16
102 | DataType::UInt32
103 | DataType::UInt64 => Ok(|input: &ArrayRef| Ok(Arc::clone(input))),
104
105 DataType::Decimal32(_, _) => Ok(make_wrapping_abs_function!(Decimal32Array)),
107 DataType::Decimal64(_, _) => Ok(make_wrapping_abs_function!(Decimal64Array)),
108 DataType::Decimal128(_, _) => Ok(make_wrapping_abs_function!(Decimal128Array)),
109 DataType::Decimal256(_, _) => Ok(make_wrapping_abs_function!(Decimal256Array)),
110
111 other => not_impl_err!("Unsupported data type {other:?} for function abs"),
112 }
113}
114#[user_doc(
115 doc_section(label = "Math Functions"),
116 description = "Returns the absolute value of a number.",
117 syntax_example = "abs(numeric_expression)",
118 sql_example = r#"```sql
119> SELECT abs(-5);
120+----------+
121| abs(-5) |
122+----------+
123| 5 |
124+----------+
125```"#,
126 standard_argument(name = "numeric_expression", prefix = "Numeric")
127)]
128#[derive(Debug, PartialEq, Eq, Hash)]
129pub struct AbsFunc {
130 signature: Signature,
131}
132
133impl Default for AbsFunc {
134 fn default() -> Self {
135 Self::new()
136 }
137}
138
139impl AbsFunc {
140 pub fn new() -> Self {
141 Self {
142 signature: Signature::numeric(1, Volatility::Immutable),
143 }
144 }
145}
146
147impl ScalarUDFImpl for AbsFunc {
148 fn as_any(&self) -> &dyn Any {
149 self
150 }
151
152 fn name(&self) -> &str {
153 "abs"
154 }
155
156 fn signature(&self) -> &Signature {
157 &self.signature
158 }
159
160 fn return_type(&self, arg_types: &[DataType]) -> Result<DataType> {
161 Ok(arg_types[0].clone())
162 }
163
164 fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
165 let args = ColumnarValue::values_to_arrays(&args.args)?;
166 let [input] = take_function_args(self.name(), args)?;
167
168 let input_data_type = input.data_type();
169 let abs_fun = create_abs_function(input_data_type)?;
170
171 abs_fun(&input).map(ColumnarValue::Array)
172 }
173
174 fn output_ordering(&self, input: &[ExprProperties]) -> Result<SortProperties> {
175 let arg = &input[0];
177 let range = &arg.range;
178 let zero_point = Interval::make_zero(&range.lower().data_type())?;
179
180 if range.gt_eq(&zero_point)? == Interval::TRUE {
181 Ok(arg.sort_properties)
182 } else if range.lt_eq(&zero_point)? == Interval::TRUE {
183 Ok(-arg.sort_properties)
184 } else {
185 Ok(SortProperties::Unordered)
186 }
187 }
188
189 fn documentation(&self) -> Option<&Documentation> {
190 self.doc()
191 }
192}