datafusion_functions/math/
random.rs1use std::any::Any;
19use std::sync::Arc;
20
21use arrow::array::Float64Array;
22use arrow::datatypes::DataType;
23use arrow::datatypes::DataType::Float64;
24use rand::{rng, Rng};
25
26use datafusion_common::{internal_err, Result};
27use datafusion_expr::{ColumnarValue, ScalarFunctionArgs};
28use datafusion_expr::{Documentation, ScalarUDFImpl, Signature, Volatility};
29use datafusion_macros::user_doc;
30
31#[user_doc(
32    doc_section(label = "Math Functions"),
33    description = r#"Returns a random float value in the range [0, 1).
34The random seed is unique to each row."#,
35    syntax_example = "random()"
36)]
37#[derive(Debug, PartialEq, Eq, Hash)]
38pub struct RandomFunc {
39    signature: Signature,
40}
41
42impl Default for RandomFunc {
43    fn default() -> Self {
44        RandomFunc::new()
45    }
46}
47
48impl RandomFunc {
49    pub fn new() -> Self {
50        Self {
51            signature: Signature::nullary(Volatility::Volatile),
52        }
53    }
54}
55
56impl ScalarUDFImpl for RandomFunc {
57    fn as_any(&self) -> &dyn Any {
58        self
59    }
60
61    fn name(&self) -> &str {
62        "random"
63    }
64
65    fn signature(&self) -> &Signature {
66        &self.signature
67    }
68
69    fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
70        Ok(Float64)
71    }
72
73    fn invoke_with_args(&self, args: ScalarFunctionArgs) -> Result<ColumnarValue> {
74        if !args.args.is_empty() {
75            return internal_err!("{} function does not accept arguments", self.name());
76        }
77        let mut rng = rng();
78        let mut values = vec![0.0; args.number_rows];
79        rng.fill(&mut values[..]);
81        let array = Float64Array::from(values);
82
83        Ok(ColumnarValue::Array(Arc::new(array)))
84    }
85
86    fn documentation(&self) -> Option<&Documentation> {
87        self.doc()
88    }
89}