use std::rc::Rc;
use arrow::datatypes::*;
use super::super::super::errors::*;
use super::super::super::types::*;
pub struct STPointFunc;
impl ScalarFunction for STPointFunc {
fn name(&self) -> String {
"ST_Point".to_string()
}
fn execute(&self, args: &[Value]) -> Result<Value> {
assert_eq!(2, args.len());
match (&args[0], &args[1]) {
(Value::Column(ref arr1), Value::Column(ref arr2)) => {
match (arr1.data(), arr2.data()) {
(&ArrayData::Float64(_), &ArrayData::Float64(_)) => {
let nested: Vec<Rc<Array>> = vec![arr1.clone(), arr2.clone()];
let new_array = Array::new(arr1.len() as usize, ArrayData::Struct(nested));
Ok(Value::Column(Rc::new(new_array)))
}
_ => Err(ExecutionError::General(
"Unsupported type for ST_Point".to_string(),
)),
}
}
_ => Err(ExecutionError::General(
"Unsupported type for ST_Point".to_string(),
)),
}
}
fn args(&self) -> Vec<Field> {
vec![
Field::new("x", DataType::Float64, false),
Field::new("y", DataType::Float64, false),
]
}
fn return_type(&self) -> DataType {
DataType::Struct(vec![
Field::new("x", DataType::Float64, false),
Field::new("y", DataType::Float64, false),
])
}
}