use crate::utils::make_scalar_function;
use arrow::array::Int32Array;
use arrow::array::{ArrayRef, OffsetSizeTrait};
use arrow::datatypes::DataType;
use datafusion_common::{cast::as_generic_string_array, internal_err, Result};
use datafusion_expr::ColumnarValue;
use datafusion_expr::{ScalarUDFImpl, Signature, Volatility};
use std::any::Any;
use std::sync::Arc;
pub fn ascii<T: OffsetSizeTrait>(args: &[ArrayRef]) -> Result<ArrayRef> {
let string_array = as_generic_string_array::<T>(&args[0])?;
let result = string_array
.iter()
.map(|string| {
string.map(|string: &str| {
let mut chars = string.chars();
chars.next().map_or(0, |v| v as i32)
})
})
.collect::<Int32Array>();
Ok(Arc::new(result) as ArrayRef)
}
#[derive(Debug)]
pub struct AsciiFunc {
signature: Signature,
}
impl Default for AsciiFunc {
fn default() -> Self {
Self::new()
}
}
impl AsciiFunc {
pub fn new() -> Self {
use DataType::*;
Self {
signature: Signature::uniform(
1,
vec![Utf8, LargeUtf8],
Volatility::Immutable,
),
}
}
}
impl ScalarUDFImpl for AsciiFunc {
fn as_any(&self) -> &dyn Any {
self
}
fn name(&self) -> &str {
"ascii"
}
fn signature(&self) -> &Signature {
&self.signature
}
fn return_type(&self, _arg_types: &[DataType]) -> Result<DataType> {
use DataType::*;
Ok(Int32)
}
fn invoke(&self, args: &[ColumnarValue]) -> Result<ColumnarValue> {
match args[0].data_type() {
DataType::Utf8 => make_scalar_function(ascii::<i32>, vec![])(args),
DataType::LargeUtf8 => {
return make_scalar_function(ascii::<i64>, vec![])(args);
}
_ => internal_err!("Unsupported data type"),
}
}
}