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| 1 | +// Copyright 2023 Greptime Team |
| 2 | +// |
| 3 | +// Licensed under the Apache License, Version 2.0 (the "License"); |
| 4 | +// you may not use this file except in compliance with the License. |
| 5 | +// You may obtain a copy of the License at |
| 6 | +// |
| 7 | +// http://www.apache.org/licenses/LICENSE-2.0 |
| 8 | +// |
| 9 | +// Unless required by applicable law or agreed to in writing, software |
| 10 | +// distributed under the License is distributed on an "AS IS" BASIS, |
| 11 | +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| 12 | +// See the License for the specific language governing permissions and |
| 13 | +// limitations under the License. |
| 14 | + |
| 15 | +use std::borrow::Cow; |
| 16 | +use std::fmt::Display; |
| 17 | + |
| 18 | +use common_query::error::{InvalidFuncArgsSnafu, Result}; |
| 19 | +use common_query::prelude::Signature; |
| 20 | +use datatypes::prelude::ConcreteDataType; |
| 21 | +use datatypes::scalars::ScalarVectorBuilder; |
| 22 | +use datatypes::vectors::{BinaryVectorBuilder, MutableVector, VectorRef}; |
| 23 | +use nalgebra::DVectorView; |
| 24 | +use snafu::ensure; |
| 25 | + |
| 26 | +use crate::function::{Function, FunctionContext}; |
| 27 | +use crate::helper; |
| 28 | +use crate::scalars::vector::impl_conv::{as_veclit, as_veclit_if_const, veclit_to_binlit}; |
| 29 | + |
| 30 | +const NAME: &str = "vec_mul"; |
| 31 | + |
| 32 | +/// Multiplies corresponding elements of two vectors. |
| 33 | +/// |
| 34 | +/// # Example |
| 35 | +/// |
| 36 | +/// ```sql |
| 37 | +/// SELECT vec_to_string(vec_mul("[1, 2, 3]", "[1, 2, 3]")) as result; |
| 38 | +/// |
| 39 | +/// +---------+ |
| 40 | +/// | result | |
| 41 | +/// +---------+ |
| 42 | +/// | [1,4,9] | |
| 43 | +/// +---------+ |
| 44 | +/// |
| 45 | +/// ``` |
| 46 | +#[derive(Debug, Clone, Default)] |
| 47 | +pub struct VectorMulFunction; |
| 48 | + |
| 49 | +impl Function for VectorMulFunction { |
| 50 | + fn name(&self) -> &str { |
| 51 | + NAME |
| 52 | + } |
| 53 | + |
| 54 | + fn return_type(&self, _input_types: &[ConcreteDataType]) -> Result<ConcreteDataType> { |
| 55 | + Ok(ConcreteDataType::binary_datatype()) |
| 56 | + } |
| 57 | + |
| 58 | + fn signature(&self) -> Signature { |
| 59 | + helper::one_of_sigs2( |
| 60 | + vec![ |
| 61 | + ConcreteDataType::string_datatype(), |
| 62 | + ConcreteDataType::binary_datatype(), |
| 63 | + ], |
| 64 | + vec![ |
| 65 | + ConcreteDataType::string_datatype(), |
| 66 | + ConcreteDataType::binary_datatype(), |
| 67 | + ], |
| 68 | + ) |
| 69 | + } |
| 70 | + |
| 71 | + fn eval(&self, _func_ctx: FunctionContext, columns: &[VectorRef]) -> Result<VectorRef> { |
| 72 | + ensure!( |
| 73 | + columns.len() == 2, |
| 74 | + InvalidFuncArgsSnafu { |
| 75 | + err_msg: format!( |
| 76 | + "The length of the args is not correct, expect exactly two, have: {}", |
| 77 | + columns.len() |
| 78 | + ), |
| 79 | + } |
| 80 | + ); |
| 81 | + |
| 82 | + let arg0 = &columns[0]; |
| 83 | + let arg1 = &columns[1]; |
| 84 | + |
| 85 | + let len = arg0.len(); |
| 86 | + let mut result = BinaryVectorBuilder::with_capacity(len); |
| 87 | + if len == 0 { |
| 88 | + return Ok(result.to_vector()); |
| 89 | + } |
| 90 | + |
| 91 | + let arg0_const = as_veclit_if_const(arg0)?; |
| 92 | + let arg1_const = as_veclit_if_const(arg1)?; |
| 93 | + |
| 94 | + for i in 0..len { |
| 95 | + let arg0 = match arg0_const.as_ref() { |
| 96 | + Some(arg0) => Some(Cow::Borrowed(arg0.as_ref())), |
| 97 | + None => as_veclit(arg0.get_ref(i))?, |
| 98 | + }; |
| 99 | + |
| 100 | + let arg1 = match arg1_const.as_ref() { |
| 101 | + Some(arg1) => Some(Cow::Borrowed(arg1.as_ref())), |
| 102 | + None => as_veclit(arg1.get_ref(i))?, |
| 103 | + }; |
| 104 | + |
| 105 | + if let (Some(arg0), Some(arg1)) = (arg0, arg1) { |
| 106 | + ensure!( |
| 107 | + arg0.len() == arg1.len(), |
| 108 | + InvalidFuncArgsSnafu { |
| 109 | + err_msg: format!( |
| 110 | + "The length of the vectors must match for multiplying, have: {} vs {}", |
| 111 | + arg0.len(), |
| 112 | + arg1.len() |
| 113 | + ), |
| 114 | + } |
| 115 | + ); |
| 116 | + let vec0 = DVectorView::from_slice(&arg0, arg0.len()); |
| 117 | + let vec1 = DVectorView::from_slice(&arg1, arg1.len()); |
| 118 | + let vec_res = vec1.component_mul(&vec0); |
| 119 | + |
| 120 | + let veclit = vec_res.as_slice(); |
| 121 | + let binlit = veclit_to_binlit(veclit); |
| 122 | + result.push(Some(&binlit)); |
| 123 | + } else { |
| 124 | + result.push_null(); |
| 125 | + } |
| 126 | + } |
| 127 | + |
| 128 | + Ok(result.to_vector()) |
| 129 | + } |
| 130 | +} |
| 131 | + |
| 132 | +impl Display for VectorMulFunction { |
| 133 | + fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result { |
| 134 | + write!(f, "{}", NAME.to_ascii_uppercase()) |
| 135 | + } |
| 136 | +} |
| 137 | + |
| 138 | +#[cfg(test)] |
| 139 | +mod tests { |
| 140 | + use std::sync::Arc; |
| 141 | + |
| 142 | + use common_query::error; |
| 143 | + use datatypes::vectors::StringVector; |
| 144 | + |
| 145 | + use super::*; |
| 146 | + |
| 147 | + #[test] |
| 148 | + fn test_vector_mul() { |
| 149 | + let func = VectorMulFunction; |
| 150 | + |
| 151 | + let vec0 = vec![1.0, 2.0, 3.0]; |
| 152 | + let vec1 = vec![1.0, 1.0]; |
| 153 | + let (len0, len1) = (vec0.len(), vec1.len()); |
| 154 | + let input0 = Arc::new(StringVector::from(vec![Some(format!("{vec0:?}"))])); |
| 155 | + let input1 = Arc::new(StringVector::from(vec![Some(format!("{vec1:?}"))])); |
| 156 | + |
| 157 | + let err = func |
| 158 | + .eval(FunctionContext::default(), &[input0, input1]) |
| 159 | + .unwrap_err(); |
| 160 | + |
| 161 | + match err { |
| 162 | + error::Error::InvalidFuncArgs { err_msg, .. } => { |
| 163 | + assert_eq!( |
| 164 | + err_msg, |
| 165 | + format!( |
| 166 | + "The length of the vectors must match for multiplying, have: {} vs {}", |
| 167 | + len0, len1 |
| 168 | + ) |
| 169 | + ) |
| 170 | + } |
| 171 | + _ => unreachable!(), |
| 172 | + } |
| 173 | + |
| 174 | + let input0 = Arc::new(StringVector::from(vec![ |
| 175 | + Some("[1.0,2.0,3.0]".to_string()), |
| 176 | + Some("[8.0,10.0,12.0]".to_string()), |
| 177 | + Some("[7.0,8.0,9.0]".to_string()), |
| 178 | + None, |
| 179 | + ])); |
| 180 | + |
| 181 | + let input1 = Arc::new(StringVector::from(vec![ |
| 182 | + Some("[1.0,1.0,1.0]".to_string()), |
| 183 | + Some("[2.0,2.0,2.0]".to_string()), |
| 184 | + None, |
| 185 | + Some("[3.0,3.0,3.0]".to_string()), |
| 186 | + ])); |
| 187 | + |
| 188 | + let result = func |
| 189 | + .eval(FunctionContext::default(), &[input0, input1]) |
| 190 | + .unwrap(); |
| 191 | + |
| 192 | + let result = result.as_ref(); |
| 193 | + assert_eq!(result.len(), 4); |
| 194 | + assert_eq!( |
| 195 | + result.get_ref(0).as_binary().unwrap(), |
| 196 | + Some(veclit_to_binlit(&[1.0, 2.0, 3.0]).as_slice()) |
| 197 | + ); |
| 198 | + assert_eq!( |
| 199 | + result.get_ref(1).as_binary().unwrap(), |
| 200 | + Some(veclit_to_binlit(&[16.0, 20.0, 24.0]).as_slice()) |
| 201 | + ); |
| 202 | + assert!(result.get_ref(2).is_null()); |
| 203 | + assert!(result.get_ref(3).is_null()); |
| 204 | + } |
| 205 | +} |
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