reifydb_function/math/scalar/
log10.rs

1// SPDX-License-Identifier: AGPL-3.0-or-later
2// Copyright (c) 2025 ReifyDB
3
4use num_traits::ToPrimitive;
5use reifydb_core::value::column::data::ColumnData;
6use reifydb_type::value::r#type::Type;
7
8use crate::{ScalarFunction, ScalarFunctionContext, error::ScalarFunctionError, propagate_options};
9
10pub struct Log10;
11
12impl Log10 {
13	pub fn new() -> Self {
14		Self
15	}
16}
17
18fn numeric_to_f64(data: &ColumnData, i: usize) -> Option<f64> {
19	match data {
20		ColumnData::Int1(c) => c.get(i).map(|&v| v as f64),
21		ColumnData::Int2(c) => c.get(i).map(|&v| v as f64),
22		ColumnData::Int4(c) => c.get(i).map(|&v| v as f64),
23		ColumnData::Int8(c) => c.get(i).map(|&v| v as f64),
24		ColumnData::Int16(c) => c.get(i).map(|&v| v as f64),
25		ColumnData::Uint1(c) => c.get(i).map(|&v| v as f64),
26		ColumnData::Uint2(c) => c.get(i).map(|&v| v as f64),
27		ColumnData::Uint4(c) => c.get(i).map(|&v| v as f64),
28		ColumnData::Uint8(c) => c.get(i).map(|&v| v as f64),
29		ColumnData::Uint16(c) => c.get(i).map(|&v| v as f64),
30		ColumnData::Float4(c) => c.get(i).map(|&v| v as f64),
31		ColumnData::Float8(c) => c.get(i).copied(),
32		ColumnData::Int {
33			container,
34			..
35		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
36		ColumnData::Uint {
37			container,
38			..
39		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
40		ColumnData::Decimal {
41			container,
42			..
43		} => container.get(i).map(|v| v.0.to_f64().unwrap_or(0.0)),
44		_ => None,
45	}
46}
47
48impl ScalarFunction for Log10 {
49	fn scalar(&self, ctx: ScalarFunctionContext) -> crate::error::ScalarFunctionResult<ColumnData> {
50		if let Some(result) = propagate_options(self, &ctx) {
51			return result;
52		}
53		let columns = ctx.columns;
54		let row_count = ctx.row_count;
55
56		if columns.len() != 1 {
57			return Err(ScalarFunctionError::ArityMismatch {
58				function: ctx.fragment.clone(),
59				expected: 1,
60				actual: columns.len(),
61			});
62		}
63
64		let column = columns.get(0).unwrap();
65
66		if !column.data().get_type().is_number() {
67			return Err(ScalarFunctionError::InvalidArgumentType {
68				function: ctx.fragment.clone(),
69				argument_index: 0,
70				expected: vec![
71					Type::Int1,
72					Type::Int2,
73					Type::Int4,
74					Type::Int8,
75					Type::Int16,
76					Type::Uint1,
77					Type::Uint2,
78					Type::Uint4,
79					Type::Uint8,
80					Type::Uint16,
81					Type::Float4,
82					Type::Float8,
83					Type::Int,
84					Type::Uint,
85					Type::Decimal,
86				],
87				actual: column.data().get_type(),
88			});
89		}
90
91		let mut result = Vec::with_capacity(row_count);
92		let mut bitvec = Vec::with_capacity(row_count);
93
94		for i in 0..row_count {
95			match numeric_to_f64(column.data(), i) {
96				Some(v) => {
97					result.push(v.log10());
98					bitvec.push(true);
99				}
100				None => {
101					result.push(0.0);
102					bitvec.push(false);
103				}
104			}
105		}
106
107		Ok(ColumnData::float8_with_bitvec(result, bitvec))
108	}
109
110	fn return_type(&self, _input_types: &[Type]) -> Type {
111		Type::Float8
112	}
113}
reifydb_function/math/scalar/log10.rs

reifydb_function/math/scalar/
log10.rs
