1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
use crate::window::partition_evaluator::PartitionEvaluator;
use crate::window::BuiltInWindowFunctionExpr;
use crate::PhysicalExpr;
use arrow::array::{ArrayRef, UInt64Array};
use arrow::datatypes::Field;
use arrow_schema::DataType;
use datafusion_common::Result;
use std::any::Any;
use std::sync::Arc;
#[derive(Debug)]
pub struct Ntile {
name: String,
n: u64,
}
impl Ntile {
pub fn new(name: String, n: u64) -> Self {
Self { name, n }
}
}
impl BuiltInWindowFunctionExpr for Ntile {
fn as_any(&self) -> &dyn Any {
self
}
fn field(&self) -> Result<Field> {
let nullable = false;
let data_type = DataType::UInt64;
Ok(Field::new(self.name(), data_type, nullable))
}
fn expressions(&self) -> Vec<Arc<dyn PhysicalExpr>> {
vec![]
}
fn name(&self) -> &str {
&self.name
}
fn create_evaluator(&self) -> Result<Box<dyn PartitionEvaluator>> {
Ok(Box::new(NtileEvaluator { n: self.n }))
}
}
#[derive(Debug)]
pub(crate) struct NtileEvaluator {
n: u64,
}
impl PartitionEvaluator for NtileEvaluator {
fn evaluate(&self, _values: &[ArrayRef], num_rows: usize) -> Result<ArrayRef> {
let num_rows = num_rows as u64;
let mut vec: Vec<u64> = Vec::new();
for i in 0..num_rows {
let res = i * self.n / num_rows;
vec.push(res + 1)
}
Ok(Arc::new(UInt64Array::from_iter_values(vec)))
}
}