reifydb_routine/function/math/
modulo.rs1use num_traits::ToPrimitive;
5use reifydb_core::value::column::{ColumnWithName, buffer::ColumnBuffer, columns::Columns};
6use reifydb_type::value::r#type::{Type, input_types::InputTypes};
7
8use crate::routine::{Function, FunctionKind, Routine, RoutineInfo, context::FunctionContext, error::RoutineError};
9
10pub struct Modulo {
11 info: RoutineInfo,
12}
13
14impl Default for Modulo {
15 fn default() -> Self {
16 Self::new()
17 }
18}
19
20impl Modulo {
21 pub fn new() -> Self {
22 Self {
23 info: RoutineInfo::new("math::mod"),
24 }
25 }
26}
27
28fn numeric_to_f64(data: &ColumnBuffer, i: usize) -> Option<f64> {
29 match data {
30 ColumnBuffer::Int1(c) => c.get(i).map(|&v| v as f64),
31 ColumnBuffer::Int2(c) => c.get(i).map(|&v| v as f64),
32 ColumnBuffer::Int4(c) => c.get(i).map(|&v| v as f64),
33 ColumnBuffer::Int8(c) => c.get(i).map(|&v| v as f64),
34 ColumnBuffer::Int16(c) => c.get(i).map(|&v| v as f64),
35 ColumnBuffer::Uint1(c) => c.get(i).map(|&v| v as f64),
36 ColumnBuffer::Uint2(c) => c.get(i).map(|&v| v as f64),
37 ColumnBuffer::Uint4(c) => c.get(i).map(|&v| v as f64),
38 ColumnBuffer::Uint8(c) => c.get(i).map(|&v| v as f64),
39 ColumnBuffer::Uint16(c) => c.get(i).map(|&v| v as f64),
40 ColumnBuffer::Float4(c) => c.get(i).map(|&v| v as f64),
41 ColumnBuffer::Float8(c) => c.get(i).copied(),
42 ColumnBuffer::Int {
43 container,
44 ..
45 } => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
46 ColumnBuffer::Uint {
47 container,
48 ..
49 } => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
50 ColumnBuffer::Decimal {
51 container,
52 ..
53 } => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
54 _ => None,
55 }
56}
57
58impl<'a> Routine<FunctionContext<'a>> for Modulo {
59 fn info(&self) -> &RoutineInfo {
60 &self.info
61 }
62
63 fn return_type(&self, _input_types: &[Type]) -> Type {
64 Type::Float8
65 }
66
67 fn execute(&self, ctx: &mut FunctionContext<'a>, args: &Columns) -> Result<Columns, RoutineError> {
68 if args.len() != 2 {
69 return Err(RoutineError::FunctionArityMismatch {
70 function: ctx.fragment.clone(),
71 expected: 2,
72 actual: args.len(),
73 });
74 }
75
76 let a_col = &args[0];
77 let b_col = &args[1];
78
79 let (a_data, a_bitvec) = a_col.unwrap_option();
80 let (b_data, b_bitvec) = b_col.unwrap_option();
81 let row_count = a_data.len();
82
83 if !a_data.get_type().is_number() {
84 return Err(RoutineError::FunctionInvalidArgumentType {
85 function: ctx.fragment.clone(),
86 argument_index: 0,
87 expected: InputTypes::numeric().expected_at(0).to_vec(),
88 actual: a_data.get_type(),
89 });
90 }
91 if !b_data.get_type().is_number() {
92 return Err(RoutineError::FunctionInvalidArgumentType {
93 function: ctx.fragment.clone(),
94 argument_index: 1,
95 expected: InputTypes::numeric().expected_at(0).to_vec(),
96 actual: b_data.get_type(),
97 });
98 }
99
100 let mut result = Vec::with_capacity(row_count);
101 let mut res_bitvec = Vec::with_capacity(row_count);
102
103 for i in 0..row_count {
104 match (numeric_to_f64(a_data, i), numeric_to_f64(b_data, i)) {
105 (Some(a), Some(b)) => {
106 if b == 0.0 {
107 result.push(f64::NAN);
108 } else {
109 result.push(a % b);
110 }
111 res_bitvec.push(true);
112 }
113 _ => {
114 result.push(0.0);
115 res_bitvec.push(false);
116 }
117 }
118 }
119
120 let result_data = ColumnBuffer::float8_with_bitvec(result, res_bitvec);
121 let combined_bitvec = match (a_bitvec, b_bitvec) {
122 (Some(a), Some(b)) => Some(a.and(b)),
123 (Some(a), None) => Some(a.clone()),
124 (None, Some(b)) => Some(b.clone()),
125 (None, None) => None,
126 };
127
128 let final_data = if let Some(bv) = combined_bitvec {
129 ColumnBuffer::Option {
130 inner: Box::new(result_data),
131 bitvec: bv,
132 }
133 } else {
134 result_data
135 };
136
137 Ok(Columns::new(vec![ColumnWithName::new(ctx.fragment.clone(), final_data)]))
138 }
139}
140
141impl Function for Modulo {
142 fn kinds(&self) -> &[FunctionKind] {
143 &[FunctionKind::Scalar]
144 }
145}