ClickHouse/dbms/src/AggregateFunctions/AggregateFunctionSum.h
2019-02-13 15:53:36 +03:00

157 lines
4.0 KiB
C++

#pragma once
#include <type_traits>
#include <IO/WriteHelpers.h>
#include <IO/ReadHelpers.h>
#include <DataTypes/DataTypesNumber.h>
#include <DataTypes/DataTypesDecimal.h>
#include <Columns/ColumnVector.h>
#include <AggregateFunctions/IAggregateFunction.h>
namespace DB
{
template <typename T>
struct AggregateFunctionSumData
{
T sum{};
void add(T value)
{
sum += value;
}
void merge(const AggregateFunctionSumData & rhs)
{
sum += rhs.sum;
}
void write(WriteBuffer & buf) const
{
writeBinary(sum, buf);
}
void read(ReadBuffer & buf)
{
readBinary(sum, buf);
}
T get() const
{
return sum;
}
};
template <typename T>
struct AggregateFunctionSumKahanData
{
static_assert(std::is_floating_point_v<T>,
"It doesn't make sense to use Kahan Summation algorithm for non floating point types");
T sum{};
T compensation{};
void add(T value)
{
auto compensated_value = value - compensation;
auto new_sum = sum + compensated_value;
compensation = (new_sum - sum) - compensated_value;
sum = new_sum;
}
void merge(const AggregateFunctionSumKahanData & rhs)
{
auto raw_sum = sum + rhs.sum;
auto rhs_compensated = raw_sum - sum;
auto compensations = ((rhs.sum - rhs_compensated) + (sum - (raw_sum - rhs_compensated))) + compensation + rhs.compensation;
sum = raw_sum + compensations;
compensation = compensations - (sum - raw_sum);
}
void write(WriteBuffer & buf) const
{
writeBinary(sum, buf);
writeBinary(compensation, buf);
}
void read(ReadBuffer & buf)
{
readBinary(sum, buf);
readBinary(compensation, buf);
}
T get() const
{
return sum;
}
};
/// Counts the sum of the numbers.
template <typename T, typename TResult, typename Data>
class AggregateFunctionSum final : public IAggregateFunctionDataHelper<Data, AggregateFunctionSum<T, TResult, Data>>
{
public:
using ResultDataType = std::conditional_t<IsDecimalNumber<T>, DataTypeDecimal<TResult>, DataTypeNumber<TResult>>;
using ColVecType = std::conditional_t<IsDecimalNumber<T>, ColumnDecimal<T>, ColumnVector<T>>;
using ColVecResult = std::conditional_t<IsDecimalNumber<T>, ColumnDecimal<TResult>, ColumnVector<TResult>>;
String getName() const override { return "sum"; }
AggregateFunctionSum(const DataTypes & argument_types_)
: IAggregateFunctionDataHelper<Data, AggregateFunctionSum<T, TResult, Data>>(argument_types_, {})
, scale(0)
{}
AggregateFunctionSum(const IDataType & data_type, const DataTypes & argument_types_)
: IAggregateFunctionDataHelper<Data, AggregateFunctionSum<T, TResult, Data>>(argument_types_, {})
, scale(getDecimalScale(data_type))
{}
DataTypePtr getReturnType() const override
{
if constexpr (IsDecimalNumber<T>)
return std::make_shared<ResultDataType>(ResultDataType::maxPrecision(), scale);
else
return std::make_shared<ResultDataType>();
}
void add(AggregateDataPtr place, const IColumn ** columns, size_t row_num, Arena *) const override
{
const auto & column = static_cast<const ColVecType &>(*columns[0]);
this->data(place).add(column.getData()[row_num]);
}
void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs, Arena *) const override
{
this->data(place).merge(this->data(rhs));
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
{
this->data(place).write(buf);
}
void deserialize(AggregateDataPtr place, ReadBuffer & buf, Arena *) const override
{
this->data(place).read(buf);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
{
auto & column = static_cast<ColVecResult &>(to);
column.getData().push_back(this->data(place).get());
}
const char * getHeaderFilePath() const override { return __FILE__; }
private:
UInt32 scale;
};
}