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