| 1 | #pragma once |
| 2 | |
| 3 | #include <Core/callOnTypeIndex.h> |
| 4 | #include <DataTypes/DataTypesNumber.h> |
| 5 | #include <DataTypes/DataTypesDecimal.h> |
| 6 | #include <Columns/ColumnsNumber.h> |
| 7 | #include <Columns/ColumnDecimal.h> |
| 8 | #include <Columns/ColumnConst.h> |
| 9 | #include <Functions/IFunctionImpl.h> |
| 10 | #include <Functions/FunctionHelpers.h> |
| 11 | #include "config_functions.h" |
| 12 | |
| 13 | /** More efficient implementations of mathematical functions are possible when using a separate library. |
| 14 | * Disabled due to license compatibility limitations. |
| 15 | * To enable: download http://www.agner.org/optimize/vectorclass.zip and unpack to contrib/vectorclass |
| 16 | * Then rebuild with -DENABLE_VECTORCLASS=1 |
| 17 | */ |
| 18 | |
| 19 | #if USE_VECTORCLASS |
| 20 | #ifdef __clang__ |
| 21 | #pragma clang diagnostic push |
| 22 | #pragma clang diagnostic ignored "-Wshift-negative-value" |
| 23 | #endif |
| 24 | |
| 25 | #include <vectorf128.h> |
| 26 | #include <vectormath_exp.h> |
| 27 | |
| 28 | #ifdef __clang__ |
| 29 | #pragma clang diagnostic pop |
| 30 | #endif |
| 31 | #endif |
| 32 | |
| 33 | |
| 34 | namespace DB |
| 35 | { |
| 36 | |
| 37 | namespace ErrorCodes |
| 38 | { |
| 39 | extern const int ILLEGAL_COLUMN; |
| 40 | } |
| 41 | |
| 42 | |
| 43 | template <typename Impl> |
| 44 | class FunctionMathBinaryFloat64 : public IFunction |
| 45 | { |
| 46 | public: |
| 47 | static constexpr auto name = Impl::name; |
| 48 | static FunctionPtr create(const Context &) { return std::make_shared<FunctionMathBinaryFloat64>(); } |
| 49 | static_assert(Impl::rows_per_iteration > 0, "Impl must process at least one row per iteration" ); |
| 50 | |
| 51 | bool useDefaultImplementationForConstants() const override { return true; } |
| 52 | |
| 53 | private: |
| 54 | String getName() const override { return name; } |
| 55 | |
| 56 | size_t getNumberOfArguments() const override { return 2; } |
| 57 | |
| 58 | DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override |
| 59 | { |
| 60 | const auto check_argument_type = [this] (const IDataType * arg) |
| 61 | { |
| 62 | if (!isNativeNumber(arg)) |
| 63 | throw Exception{"Illegal type " + arg->getName() + " of argument of function " + getName(), |
| 64 | ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT}; |
| 65 | }; |
| 66 | |
| 67 | check_argument_type(arguments.front().get()); |
| 68 | check_argument_type(arguments.back().get()); |
| 69 | |
| 70 | return std::make_shared<DataTypeFloat64>(); |
| 71 | } |
| 72 | |
| 73 | template <typename LeftType, typename RightType> |
| 74 | bool executeTyped(Block & block, const size_t result, const ColumnConst * left_arg, const IColumn * right_arg) |
| 75 | { |
| 76 | if (const auto right_arg_typed = checkAndGetColumn<ColumnVector<RightType>>(right_arg)) |
| 77 | { |
| 78 | auto dst = ColumnVector<Float64>::create(); |
| 79 | |
| 80 | LeftType left_src_data[Impl::rows_per_iteration]; |
| 81 | std::fill(std::begin(left_src_data), std::end(left_src_data), left_arg->template getValue<LeftType>()); |
| 82 | const auto & right_src_data = right_arg_typed->getData(); |
| 83 | const auto src_size = right_src_data.size(); |
| 84 | auto & dst_data = dst->getData(); |
| 85 | dst_data.resize(src_size); |
| 86 | |
| 87 | const auto rows_remaining = src_size % Impl::rows_per_iteration; |
| 88 | const auto rows_size = src_size - rows_remaining; |
| 89 | |
| 90 | for (size_t i = 0; i < rows_size; i += Impl::rows_per_iteration) |
| 91 | Impl::execute(left_src_data, &right_src_data[i], &dst_data[i]); |
| 92 | |
| 93 | if (rows_remaining != 0) |
| 94 | { |
| 95 | RightType right_src_remaining[Impl::rows_per_iteration]; |
| 96 | memcpy(right_src_remaining, &right_src_data[rows_size], rows_remaining * sizeof(RightType)); |
| 97 | memset(right_src_remaining + rows_remaining, 0, (Impl::rows_per_iteration - rows_remaining) * sizeof(RightType)); |
| 98 | Float64 dst_remaining[Impl::rows_per_iteration]; |
| 99 | |
| 100 | Impl::execute(left_src_data, right_src_remaining, dst_remaining); |
| 101 | |
| 102 | memcpy(&dst_data[rows_size], dst_remaining, rows_remaining * sizeof(Float64)); |
| 103 | } |
| 104 | |
| 105 | block.getByPosition(result).column = std::move(dst); |
| 106 | return true; |
| 107 | } |
| 108 | |
| 109 | return false; |
| 110 | } |
| 111 | |
| 112 | template <typename LeftType, typename RightType> |
| 113 | bool executeTyped(Block & block, const size_t result, const ColumnVector<LeftType> * left_arg, const IColumn * right_arg) |
| 114 | { |
| 115 | if (const auto right_arg_typed = checkAndGetColumn<ColumnVector<RightType>>(right_arg)) |
| 116 | { |
| 117 | auto dst = ColumnVector<Float64>::create(); |
| 118 | |
| 119 | const auto & left_src_data = left_arg->getData(); |
| 120 | const auto & right_src_data = right_arg_typed->getData(); |
| 121 | const auto src_size = left_src_data.size(); |
| 122 | auto & dst_data = dst->getData(); |
| 123 | dst_data.resize(src_size); |
| 124 | |
| 125 | const auto rows_remaining = src_size % Impl::rows_per_iteration; |
| 126 | const auto rows_size = src_size - rows_remaining; |
| 127 | |
| 128 | for (size_t i = 0; i < rows_size; i += Impl::rows_per_iteration) |
| 129 | Impl::execute(&left_src_data[i], &right_src_data[i], &dst_data[i]); |
| 130 | |
| 131 | if (rows_remaining != 0) |
| 132 | { |
| 133 | LeftType left_src_remaining[Impl::rows_per_iteration]; |
| 134 | memcpy(left_src_remaining, &left_src_data[rows_size], rows_remaining * sizeof(LeftType)); |
| 135 | memset(left_src_remaining + rows_remaining, 0, (Impl::rows_per_iteration - rows_remaining) * sizeof(LeftType)); |
| 136 | RightType right_src_remaining[Impl::rows_per_iteration]; |
| 137 | memcpy(right_src_remaining, &right_src_data[rows_size], rows_remaining * sizeof(RightType)); |
| 138 | memset(right_src_remaining + rows_remaining, 0, (Impl::rows_per_iteration - rows_remaining) * sizeof(RightType)); |
| 139 | Float64 dst_remaining[Impl::rows_per_iteration]; |
| 140 | |
| 141 | Impl::execute(left_src_remaining, right_src_remaining, dst_remaining); |
| 142 | |
| 143 | memcpy(&dst_data[rows_size], dst_remaining, rows_remaining * sizeof(Float64)); |
| 144 | } |
| 145 | |
| 146 | block.getByPosition(result).column = std::move(dst); |
| 147 | return true; |
| 148 | } |
| 149 | if (const auto right_arg_typed = checkAndGetColumnConst<ColumnVector<RightType>>(right_arg)) |
| 150 | { |
| 151 | auto dst = ColumnVector<Float64>::create(); |
| 152 | |
| 153 | const auto & left_src_data = left_arg->getData(); |
| 154 | RightType right_src_data[Impl::rows_per_iteration]; |
| 155 | std::fill(std::begin(right_src_data), std::end(right_src_data), right_arg_typed->template getValue<RightType>()); |
| 156 | const auto src_size = left_src_data.size(); |
| 157 | auto & dst_data = dst->getData(); |
| 158 | dst_data.resize(src_size); |
| 159 | |
| 160 | const auto rows_remaining = src_size % Impl::rows_per_iteration; |
| 161 | const auto rows_size = src_size - rows_remaining; |
| 162 | |
| 163 | for (size_t i = 0; i < rows_size; i += Impl::rows_per_iteration) |
| 164 | Impl::execute(&left_src_data[i], right_src_data, &dst_data[i]); |
| 165 | |
| 166 | if (rows_remaining != 0) |
| 167 | { |
| 168 | LeftType left_src_remaining[Impl::rows_per_iteration]; |
| 169 | memcpy(left_src_remaining, &left_src_data[rows_size], rows_remaining * sizeof(LeftType)); |
| 170 | memset(left_src_remaining + rows_remaining, 0, (Impl::rows_per_iteration - rows_remaining) * sizeof(LeftType)); |
| 171 | Float64 dst_remaining[Impl::rows_per_iteration]; |
| 172 | |
| 173 | Impl::execute(left_src_remaining, right_src_data, dst_remaining); |
| 174 | |
| 175 | memcpy(&dst_data[rows_size], dst_remaining, rows_remaining * sizeof(Float64)); |
| 176 | } |
| 177 | |
| 178 | block.getByPosition(result).column = std::move(dst); |
| 179 | return true; |
| 180 | } |
| 181 | |
| 182 | return false; |
| 183 | } |
| 184 | |
| 185 | void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t /*input_rows_count*/) override |
| 186 | { |
| 187 | const ColumnWithTypeAndName & col_left = block.getByPosition(arguments[0]); |
| 188 | const ColumnWithTypeAndName & col_right = block.getByPosition(arguments[1]); |
| 189 | |
| 190 | auto call = [&](const auto & types) -> bool |
| 191 | { |
| 192 | using Types = std::decay_t<decltype(types)>; |
| 193 | using LeftType = typename Types::LeftType; |
| 194 | using RightType = typename Types::RightType; |
| 195 | using ColVecLeft = ColumnVector<LeftType>; |
| 196 | |
| 197 | const IColumn * left_arg = col_left.column.get(); |
| 198 | const IColumn * right_arg = col_right.column.get(); |
| 199 | |
| 200 | if (const auto left_arg_typed = checkAndGetColumn<ColVecLeft>(left_arg)) |
| 201 | { |
| 202 | if (executeTyped<LeftType, RightType>(block, result, left_arg_typed, right_arg)) |
| 203 | return true; |
| 204 | |
| 205 | throw Exception{"Illegal column " + right_arg->getName() + " of second argument of function " + getName(), |
| 206 | ErrorCodes::ILLEGAL_COLUMN}; |
| 207 | } |
| 208 | if (const auto left_arg_typed = checkAndGetColumnConst<ColVecLeft>(left_arg)) |
| 209 | { |
| 210 | if (executeTyped<LeftType, RightType>(block, result, left_arg_typed, right_arg)) |
| 211 | return true; |
| 212 | |
| 213 | throw Exception{"Illegal column " + right_arg->getName() + " of second argument of function " + getName(), |
| 214 | ErrorCodes::ILLEGAL_COLUMN}; |
| 215 | } |
| 216 | |
| 217 | return false; |
| 218 | }; |
| 219 | |
| 220 | TypeIndex left_index = col_left.type->getTypeId(); |
| 221 | TypeIndex right_index = col_right.type->getTypeId(); |
| 222 | |
| 223 | if (!callOnBasicTypes<true, true, false, false>(left_index, right_index, call)) |
| 224 | throw Exception{"Illegal column " + col_left.column->getName() + " of argument of function " + getName(), |
| 225 | ErrorCodes::ILLEGAL_COLUMN}; |
| 226 | } |
| 227 | }; |
| 228 | |
| 229 | |
| 230 | template <typename Name, Float64(Function)(Float64, Float64)> |
| 231 | struct BinaryFunctionPlain |
| 232 | { |
| 233 | static constexpr auto name = Name::name; |
| 234 | static constexpr auto rows_per_iteration = 1; |
| 235 | |
| 236 | template <typename T1, typename T2> |
| 237 | static void execute(const T1 * src_left, const T2 * src_right, Float64 * dst) |
| 238 | { |
| 239 | dst[0] = static_cast<Float64>(Function(static_cast<Float64>(src_left[0]), static_cast<Float64>(src_right[0]))); |
| 240 | } |
| 241 | }; |
| 242 | |
| 243 | #if USE_VECTORCLASS |
| 244 | |
| 245 | template <typename Name, Vec2d(Function)(const Vec2d &, const Vec2d &)> |
| 246 | struct BinaryFunctionVectorized |
| 247 | { |
| 248 | static constexpr auto name = Name::name; |
| 249 | static constexpr auto rows_per_iteration = 2; |
| 250 | |
| 251 | template <typename T1, typename T2> |
| 252 | static void execute(const T1 * src_left, const T2 * src_right, Float64 * dst) |
| 253 | { |
| 254 | const auto result = Function(Vec2d(src_left[0], src_left[1]), Vec2d(src_right[0], src_right[1])); |
| 255 | result.store(dst); |
| 256 | } |
| 257 | }; |
| 258 | |
| 259 | #else |
| 260 | |
| 261 | #define BinaryFunctionVectorized BinaryFunctionPlain |
| 262 | |
| 263 | #endif |
| 264 | |
| 265 | } |
| 266 | |