datafusion_functions/math/
pi.rsuse std::any::Any;
use arrow::datatypes::DataType;
use arrow::datatypes::DataType::Float64;
use datafusion_common::{internal_err, Result, ScalarValue};
use datafusion_expr::sort_properties::{ExprProperties, SortProperties};
use datafusion_expr::{
ColumnarValue, Documentation, ScalarUDFImpl, Signature, Volatility,
};
use datafusion_macros::user_doc;
#[user_doc(
doc_section(label = "Math Functions"),
description = "Returns an approximate value of π.",
syntax_example = "pi()"
)]
#[derive(Debug)]
pub struct PiFunc {
signature: Signature,
}
impl Default for PiFunc {
fn default() -> Self {
PiFunc::new()
}
}
impl PiFunc {
pub fn new() -> Self {
Self {
signature: Signature::nullary(Volatility::Immutable),
}
}
}
impl ScalarUDFImpl for PiFunc {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"pi"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
Ok(Float64)
}
fn invoke_batch(
&self,
args: &[ColumnarValue],
_number_rows: usize,
) -> Result<ColumnarValue> {
if !args.is_empty() {
return internal_err!("{} function does not accept arguments", self.name());
}
Ok(ColumnarValue::Scalar(ScalarValue::Float64(Some(
std::f64::consts::PI,
))))
}
fn output_ordering(&self, _input: &[ExprProperties]) -> Result<SortProperties> {
Ok(SortProperties::Singleton)
}
fn documentation(&self) -> Option<&Documentation> {
self.doc()
}
}