datafusion_functions_window/
ntile.rs1use crate::utils::{
21 get_scalar_value_from_args, get_signed_integer, get_unsigned_integer,
22};
23use arrow::datatypes::FieldRef;
24use datafusion_common::arrow::array::{ArrayRef, UInt64Array};
25use datafusion_common::arrow::datatypes::{DataType, Field};
26use datafusion_common::{exec_datafusion_err, exec_err, Result};
27use datafusion_expr::{
28 Documentation, LimitEffect, PartitionEvaluator, Signature, Volatility, WindowUDFImpl,
29};
30use datafusion_functions_window_common::field;
31use datafusion_functions_window_common::partition::PartitionEvaluatorArgs;
32use datafusion_macros::user_doc;
33use datafusion_physical_expr_common::physical_expr::PhysicalExpr;
34use field::WindowUDFFieldArgs;
35use std::any::Any;
36use std::fmt::Debug;
37use std::sync::Arc;
38
39define_udwf_and_expr!(
40 Ntile,
41 ntile,
42 [arg],
43 "Integer ranging from 1 to the argument value, dividing the partition as equally as possible."
44);
45
46#[user_doc(
47 doc_section(label = "Ranking Functions"),
48 description = "Integer ranging from 1 to the argument value, dividing the partition as equally as possible",
49 syntax_example = "ntile(expression)",
50 argument(
51 name = "expression",
52 description = "An integer describing the number groups the partition should be split into"
53 ),
54 sql_example = r#"
55```sql
56-- Example usage of the ntile window function:
57SELECT employee_id,
58 salary,
59 ntile(4) OVER (ORDER BY salary DESC) AS quartile
60FROM employees;
61
62+-------------+--------+----------+
63| employee_id | salary | quartile |
64+-------------+--------+----------+
65| 1 | 90000 | 1 |
66| 2 | 85000 | 1 |
67| 3 | 80000 | 2 |
68| 4 | 70000 | 2 |
69| 5 | 60000 | 3 |
70| 6 | 50000 | 3 |
71| 7 | 40000 | 4 |
72| 8 | 30000 | 4 |
73+-------------+--------+----------+
74```
75"#
76)]
77#[derive(Debug, PartialEq, Eq, Hash)]
78pub struct Ntile {
79 signature: Signature,
80}
81
82impl Ntile {
83 pub fn new() -> Self {
85 Self {
86 signature: Signature::uniform(
87 1,
88 vec![
89 DataType::UInt64,
90 DataType::UInt32,
91 DataType::UInt16,
92 DataType::UInt8,
93 DataType::Int64,
94 DataType::Int32,
95 DataType::Int16,
96 DataType::Int8,
97 ],
98 Volatility::Immutable,
99 ),
100 }
101 }
102}
103
104impl Default for Ntile {
105 fn default() -> Self {
106 Self::new()
107 }
108}
109
110impl WindowUDFImpl for Ntile {
111 fn as_any(&self) -> &dyn Any {
112 self
113 }
114
115 fn name(&self) -> &str {
116 "ntile"
117 }
118
119 fn signature(&self) -> &Signature {
120 &self.signature
121 }
122
123 fn partition_evaluator(
124 &self,
125 partition_evaluator_args: PartitionEvaluatorArgs,
126 ) -> Result<Box<dyn PartitionEvaluator>> {
127 let scalar_n =
128 get_scalar_value_from_args(partition_evaluator_args.input_exprs(), 0)?
129 .ok_or_else(|| {
130 exec_datafusion_err!("NTILE requires a positive integer")
131 })?;
132
133 if scalar_n.is_null() {
134 return exec_err!("NTILE requires a positive integer, but finds NULL");
135 }
136
137 if scalar_n.is_unsigned() {
138 let n = get_unsigned_integer(scalar_n)?;
139 Ok(Box::new(NtileEvaluator { n }))
140 } else {
141 let n: i64 = get_signed_integer(scalar_n)?;
142 if n <= 0 {
143 return exec_err!("NTILE requires a positive integer");
144 }
145 Ok(Box::new(NtileEvaluator { n: n as u64 }))
146 }
147 }
148 fn field(&self, field_args: WindowUDFFieldArgs) -> Result<FieldRef> {
149 let nullable = false;
150
151 Ok(Field::new(field_args.name(), DataType::UInt64, nullable).into())
152 }
153
154 fn documentation(&self) -> Option<&Documentation> {
155 self.doc()
156 }
157
158 fn limit_effect(&self, _args: &[Arc<dyn PhysicalExpr>]) -> LimitEffect {
159 LimitEffect::Unknown
160 }
161}
162
163#[derive(Debug)]
164struct NtileEvaluator {
165 n: u64,
166}
167
168impl PartitionEvaluator for NtileEvaluator {
169 fn evaluate_all(
170 &mut self,
171 _values: &[ArrayRef],
172 num_rows: usize,
173 ) -> Result<ArrayRef> {
174 let num_rows = num_rows as u64;
175 let mut vec: Vec<u64> = Vec::new();
176 let n = u64::min(self.n, num_rows);
177 for i in 0..num_rows {
178 let res = i * n / num_rows;
179 vec.push(res + 1)
180 }
181 Ok(Arc::new(UInt64Array::from(vec)))
182 }
183}