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188 lines
6.1 KiB
C++
188 lines
6.1 KiB
C++
#pragma once
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#include <Core/callOnTypeIndex.h>
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#include <DataTypes/DataTypesNumber.h>
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#include <DataTypes/DataTypesDecimal.h>
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#include <Columns/ColumnsNumber.h>
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#include <Columns/ColumnDecimal.h>
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#include <Functions/IFunction.h>
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#include <Functions/FunctionHelpers.h>
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#include "config.h"
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/** FastOps is a fast vector math library from Mikhail Parakhin, https://www.linkedin.com/in/mikhail-parakhin/
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* Enabled by default.
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*/
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#if USE_FASTOPS
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# include <fastops/fastops.h>
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#endif
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namespace DB
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{
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namespace ErrorCodes
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{
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extern const int ILLEGAL_TYPE_OF_ARGUMENT;
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extern const int ILLEGAL_COLUMN;
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}
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template <typename Impl>
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class FunctionMathUnary : public IFunction
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{
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public:
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static constexpr auto name = Impl::name;
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static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionMathUnary>(); }
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private:
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String getName() const override { return name; }
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size_t getNumberOfArguments() const override { return 1; }
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bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; }
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DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
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{
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const auto & argument = arguments.front();
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if (!isNumber(argument))
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throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
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"Illegal type {} of argument of function {}",
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argument->getName(),
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getName());
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/// Integers are converted to Float64.
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if (Impl::always_returns_float64 || !isFloat(argument))
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return std::make_shared<DataTypeFloat64>();
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else
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return argument;
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}
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template <typename T, typename ReturnType>
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static void executeInIterations(const T * src_data, ReturnType * dst_data, size_t size)
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{
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if constexpr (Impl::rows_per_iteration == 0)
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{
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/// Process all data as a whole and use FastOps implementation
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/// If the argument is integer, convert to Float64 beforehand
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if constexpr (!std::is_floating_point_v<T>)
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{
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PODArray<Float64> tmp_vec(size);
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for (size_t i = 0; i < size; ++i)
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tmp_vec[i] = static_cast<Float64>(src_data[i]);
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Impl::execute(tmp_vec.data(), size, dst_data);
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}
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else
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{
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Impl::execute(src_data, size, dst_data);
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}
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}
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else
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{
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const size_t rows_remaining = size % Impl::rows_per_iteration;
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const size_t rows_size = size - rows_remaining;
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for (size_t i = 0; i < rows_size; i += Impl::rows_per_iteration)
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Impl::execute(&src_data[i], &dst_data[i]);
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if (rows_remaining != 0)
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{
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T src_remaining[Impl::rows_per_iteration];
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memcpy(src_remaining, &src_data[rows_size], rows_remaining * sizeof(T));
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memset(src_remaining + rows_remaining, 0, (Impl::rows_per_iteration - rows_remaining) * sizeof(T));
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ReturnType dst_remaining[Impl::rows_per_iteration];
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Impl::execute(src_remaining, dst_remaining);
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if constexpr (is_big_int_v<T> || std::is_same_v<T, Decimal256>)
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for (size_t i = 0; i < rows_remaining; ++i)
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dst_data[rows_size + i] = dst_remaining[i];
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else
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memcpy(&dst_data[rows_size], dst_remaining, rows_remaining * sizeof(ReturnType));
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}
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}
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}
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template <typename T, typename ReturnType>
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static ColumnPtr execute(const ColumnVector<T> * col)
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{
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const auto & src_data = col->getData();
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const size_t size = src_data.size();
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auto dst = ColumnVector<ReturnType>::create();
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auto & dst_data = dst->getData();
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dst_data.resize(size);
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executeInIterations(src_data.data(), dst_data.data(), size);
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return dst;
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}
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template <typename T, typename ReturnType>
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static ColumnPtr execute(const ColumnDecimal<T> * col)
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{
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const auto & src_data = col->getData();
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const size_t size = src_data.size();
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UInt32 scale = col->getScale();
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auto dst = ColumnVector<ReturnType>::create();
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auto & dst_data = dst->getData();
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dst_data.resize(size);
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for (size_t i = 0; i < size; ++i)
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dst_data[i] = DecimalUtils::convertTo<ReturnType>(src_data[i], scale);
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executeInIterations(dst_data.data(), dst_data.data(), size);
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return dst;
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}
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bool useDefaultImplementationForConstants() const override { return true; }
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ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override
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{
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const ColumnWithTypeAndName & col = arguments[0];
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ColumnPtr res;
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auto call = [&](const auto & types) -> bool
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{
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using Types = std::decay_t<decltype(types)>;
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using Type = typename Types::RightType;
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using ReturnType = std::conditional_t<Impl::always_returns_float64 || !std::is_floating_point_v<Type>, Float64, Type>;
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using ColVecType = ColumnVectorOrDecimal<Type>;
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const auto col_vec = checkAndGetColumn<ColVecType>(col.column.get());
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if (col_vec == nullptr)
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return false;
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return (res = execute<Type, ReturnType>(col_vec)) != nullptr;
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};
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if (!callOnBasicType<void, true, true, true, false>(col.type->getTypeId(), call))
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throw Exception(ErrorCodes::ILLEGAL_COLUMN,
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"Illegal column {} of argument of function {}",
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col.column->getName(),
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getName());
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return res;
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}
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};
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template <typename Name, Float64(Function)(Float64)>
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struct UnaryFunctionVectorized
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{
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static constexpr auto name = Name::name;
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static constexpr auto rows_per_iteration = 1;
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static constexpr bool always_returns_float64 = true;
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template <typename T>
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static void execute(const T * __restrict src, Float64 * __restrict dst)
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{
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*dst = Function(static_cast<Float64>(*src));
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}
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};
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}
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