cpp-ch/local-engine/Functions/SparkFunctionRoundHalfUp.h (205 lines of code) (raw):

/* * Licensed to the Apache Software Foundation (ASF) under one or more * contributor license agreements. See the NOTICE file distributed with * this work for additional information regarding copyright ownership. * The ASF licenses this file to You under the Apache License, Version 2.0 * (the "License"); you may not use this file except in compliance with * the License. You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. */ #pragma once #include <Functions/FunctionsRound.h> namespace local_engine { using namespace DB; template <typename T> class BaseFloatRoundingHalfUpComputation { public: using ScalarType = T; using VectorType = Float64; static const size_t data_count = 1; static VectorType load(const ScalarType * in) { return static_cast<VectorType>(*in); } static VectorType load1(ScalarType in) { return in; } static ScalarType store(ScalarType * out, VectorType val) { return *out = static_cast<ScalarType>(val); } static VectorType multiply(VectorType val, VectorType scale) { return val * scale; } static VectorType divide(VectorType val, VectorType scale) { return val / scale; } static VectorType apply(VectorType val) { return round(val); } static VectorType prepare(size_t scale) { return load1(scale); } }; /** Implementation of low-level round-off functions for floating-point values. */ template <typename T, ScaleMode scale_mode> class FloatRoundingHalfUpComputation : public BaseFloatRoundingHalfUpComputation<T> { using Base = BaseFloatRoundingHalfUpComputation<T>; public: static inline void compute(const T * __restrict in, const typename Base::VectorType & scale, T * __restrict out) { auto val = Base::load(in); if (scale_mode == ScaleMode::Positive) val = Base::multiply(val, scale); else if (scale_mode == ScaleMode::Negative) val = Base::divide(val, scale); val = Base::apply(val); if (scale_mode == ScaleMode::Positive) val = Base::divide(val, scale); else if (scale_mode == ScaleMode::Negative) val = Base::multiply(val, scale); Base::store(out, val); } }; /** Implementing high-level rounding functions. */ template <typename T, ScaleMode scale_mode> struct FloatRoundingHalfUpImpl { private: static_assert(!is_decimal<T>); using Op = FloatRoundingHalfUpComputation<T, scale_mode>; using Data = std::array<T, Op::data_count>; using ColumnType = ColumnVector<T>; using Container = typename ColumnType::Container; public: static NO_INLINE void apply(const Container & in, size_t scale, Container & out) { auto mm_scale = Op::prepare(scale); const size_t data_count = std::tuple_size<Data>(); const T* end_in = in.data() + in.size(); const T* limit = in.data() + in.size() / data_count * data_count; const T* __restrict p_in = in.data(); T* __restrict p_out = out.data(); while (p_in < limit) { Op::compute(p_in, mm_scale, p_out); p_in += data_count; p_out += data_count; } if (p_in < end_in) { Data tmp_src{{}}; Data tmp_dst; size_t tail_size_bytes = (end_in - p_in) * sizeof(*p_in); memcpy(&tmp_src, p_in, tail_size_bytes); Op::compute(reinterpret_cast<T *>(&tmp_src), mm_scale, reinterpret_cast<T *>(&tmp_dst)); memcpy(p_out, &tmp_dst, tail_size_bytes); } } }; /** Select the appropriate processing algorithm depending on the scale. */ template <typename T, RoundingMode rounding_mode, TieBreakingMode tie_breaking_mode> struct DispatcherRoundingHalfUp { template <ScaleMode scale_mode> using FunctionRoundingImpl = std::conditional_t<std::is_floating_point_v<T>, FloatRoundingHalfUpImpl<T, scale_mode>, IntegerRoundingImpl<T, rounding_mode, scale_mode, tie_breaking_mode>>; static ColumnPtr apply(const IColumn * col_general, Scale scale_arg) { const auto * const col = checkAndGetColumn<ColumnVector<T>>(col_general); auto col_res = ColumnVector<T>::create(); typename ColumnVector<T>::Container & vec_res = col_res->getData(); vec_res.resize(col->getData().size()); if (!vec_res.empty()) { if (scale_arg == 0) { size_t scale = 1; FunctionRoundingImpl<ScaleMode::Zero>::apply(col->getData(), scale, vec_res); } else if (scale_arg > 0) { size_t scale = intExp10(scale_arg); FunctionRoundingImpl<ScaleMode::Positive>::apply(col->getData(), scale, vec_res); } else { size_t scale = intExp10(-scale_arg); FunctionRoundingImpl<ScaleMode::Negative>::apply(col->getData(), scale, vec_res); } } return col_res; } }; template <is_decimal T, RoundingMode rounding_mode, TieBreakingMode tie_breaking_mode> struct DispatcherRoundingHalfUp<T, rounding_mode, tie_breaking_mode> { public: static ColumnPtr apply(const IColumn * col_general, Scale scale_arg) { const auto * const col = checkAndGetColumn<ColumnDecimal<T>>(col_general); const typename ColumnDecimal<T>::Container & vec_src = col->getData(); auto col_res = ColumnDecimal<T>::create(vec_src.size(), col->getScale()); auto & vec_res = col_res->getData(); if (!vec_res.empty()) DecimalRoundingImpl<T, rounding_mode, tie_breaking_mode>::apply(col->getData(), col->getScale(), vec_res, scale_arg); return col_res; } }; /** A template for functions that round the value of an input parameter of type * (U)Int8/16/32/64, Float32/64 or Decimal32/64/128, and accept an additional optional parameter (default is 0). */ template <typename Name, RoundingMode rounding_mode, TieBreakingMode tie_breaking_mode> class FunctionRoundingHalfUp : public IFunction { public: static constexpr auto name = "roundHalfUp"; static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionRoundingHalfUp>(); } String getName() const override { return name; } bool isVariadic() const override { return true; } size_t getNumberOfArguments() const override { return 0; } bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return false; } /// Get result types by argument types. If the function does not apply to these arguments, throw an exception. DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override { if ((arguments.empty()) || (arguments.size() > 2)) throw Exception(ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH, "Number of arguments for function {} doesn't match: passed {}, should be 1 or 2.", getName(), arguments.size()); for (const auto & type : arguments) if (!isNumber(type)) throw Exception(ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT, "Illegal type {} of argument of function {}", arguments[0]->getName(), getName()); return arguments[0]; } static Scale getScaleArg(const ColumnsWithTypeAndName & arguments) { if (arguments.size() == 2) { const IColumn & scale_column = *arguments[1].column; if (!isColumnConst(scale_column)) throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Scale argument for rounding functions must be constant"); Field scale_field = assert_cast<const ColumnConst &>(scale_column).getField(); if (scale_field.getType() != Field::Types::UInt64 && scale_field.getType() != Field::Types::Int64) throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Scale argument for rounding functions must have integer type"); Int64 scale64 = scale_field.get<Int64>(); if (scale64 > std::numeric_limits<Scale>::max() || scale64 < std::numeric_limits<Scale>::min()) throw Exception(ErrorCodes::ARGUMENT_OUT_OF_BOUND, "Scale argument for rounding function is too large"); return scale64; } return 0; } bool useDefaultImplementationForConstants() const override { return true; } ColumnNumbers getArgumentsThatAreAlwaysConstant() const override { return {1}; } ColumnPtr executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr &, size_t /*input_rows_count*/) const override { const ColumnWithTypeAndName & column = arguments[0]; Scale scale_arg = getScaleArg(arguments); ColumnPtr res; auto call = [&](const auto & types) -> bool { using Types = std::decay_t<decltype(types)>; using DataType = typename Types::LeftType; if constexpr (IsDataTypeNumber<DataType> || IsDataTypeDecimal<DataType>) { using FieldType = typename DataType::FieldType; res = DispatcherRoundingHalfUp<FieldType, rounding_mode, tie_breaking_mode>::apply(column.column.get(), scale_arg); return true; } return false; }; if (!callOnIndexAndDataType<void>(column.type->getTypeId(), call)) { throw Exception(ErrorCodes::ILLEGAL_COLUMN, "Illegal column {} of argument of function {}", column.name, getName()); } return res; } bool hasInformationAboutMonotonicity() const override { return true; } Monotonicity getMonotonicityForRange(const IDataType &, const Field &, const Field &) const override { return { .is_monotonic = true, .is_always_monotonic = true }; } }; struct NameRoundHalfUp { static constexpr auto name = "roundHalfUp"; }; using FunctionRoundHalfUp = FunctionRoundingHalfUp<NameRoundHalfUp, RoundingMode::Round, TieBreakingMode::Auto>; }