ClickHouse/dbms/include/DB/AggregateFunctions/AggregateFunctionQuantileDeterministic.h
2016-05-28 10:48:40 +03:00

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#pragma once
#include <DB/AggregateFunctions/ReservoirSamplerDeterministic.h>
#include <DB/Core/FieldVisitors.h>
#include <DB/IO/WriteHelpers.h>
#include <DB/IO/ReadHelpers.h>
#include <DB/DataTypes/DataTypesNumberFixed.h>
#include <DB/DataTypes/DataTypeArray.h>
#include <DB/AggregateFunctions/IBinaryAggregateFunction.h>
#include <DB/Columns/ColumnArray.h>
namespace DB
{
template <typename ArgumentFieldType>
struct AggregateFunctionQuantileDeterministicData
{
using Sample = ReservoirSamplerDeterministic<ArgumentFieldType, ReservoirSamplerDeterministicOnEmpty::RETURN_NAN_OR_ZERO>;
Sample sample; /// TODO Добавить MemoryTracker
};
/** Приближённо вычисляет квантиль.
* В качестве типа аргумента может быть только числовой тип (в том числе, дата и дата-с-временем).
* Если returns_float = true, то типом результата будет Float64, иначе - тип результата совпадает с типом аргумента.
* Для дат и дат-с-временем returns_float следует задавать равным false.
*/
template <typename ArgumentFieldType, bool returns_float = true>
class AggregateFunctionQuantileDeterministic final
: public IBinaryAggregateFunction<
AggregateFunctionQuantileDeterministicData<ArgumentFieldType>,
AggregateFunctionQuantileDeterministic<ArgumentFieldType, returns_float>>
{
private:
using Sample = typename AggregateFunctionQuantileDeterministicData<ArgumentFieldType>::Sample;
double level;
DataTypePtr type;
public:
AggregateFunctionQuantileDeterministic(double level_ = 0.5) : level(level_) {}
String getName() const override { return "quantileDeterministic"; }
DataTypePtr getReturnType() const override
{
return type;
}
void setArgumentsImpl(const DataTypes & arguments)
{
type = returns_float ? std::make_shared<DataTypeFloat64>() : arguments[0];
if (!arguments[1]->isNumeric())
throw Exception{
"Invalid type of second argument to function " + getName() +
", got " + arguments[1]->getName() + ", expected numeric",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT
};
}
void setParameters(const Array & params) override
{
if (params.size() != 1)
throw Exception("Aggregate function " + getName() + " requires exactly one parameter.", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
level = apply_visitor(FieldVisitorConvertToNumber<Float64>(), params[0]);
}
void addImpl(AggregateDataPtr place, const IColumn & column, const IColumn & determinator, size_t row_num) const
{
this->data(place).sample.insert(static_cast<const ColumnVector<ArgumentFieldType> &>(column).getData()[row_num],
determinator.get64(row_num));
}
void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs) const override
{
this->data(place).sample.merge(this->data(rhs).sample);
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
{
this->data(place).sample.write(buf);
}
void deserialize(AggregateDataPtr place, ReadBuffer & buf) const override
{
this->data(place).sample.read(buf);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
{
/// Sample может отсортироваться при получении квантиля, но в этом контексте можно не считать это нарушением константности.
Sample & sample = const_cast<Sample &>(this->data(place).sample);
if (returns_float)
static_cast<ColumnFloat64 &>(to).getData().push_back(sample.quantileInterpolated(level));
else
static_cast<ColumnVector<ArgumentFieldType> &>(to).getData().push_back(sample.quantileInterpolated(level));
}
};
/** То же самое, но позволяет вычислить сразу несколько квантилей.
* Для этого, принимает в качестве параметров несколько уровней. Пример: quantiles(0.5, 0.8, 0.9, 0.95)(ConnectTiming).
* Возвращает массив результатов.
*/
template <typename ArgumentFieldType, bool returns_float = true>
class AggregateFunctionQuantilesDeterministic final
: public IBinaryAggregateFunction<
AggregateFunctionQuantileDeterministicData<ArgumentFieldType>,
AggregateFunctionQuantilesDeterministic<ArgumentFieldType, returns_float>>
{
private:
using Sample = typename AggregateFunctionQuantileDeterministicData<ArgumentFieldType>::Sample;
using Levels = std::vector<double>;
Levels levels;
DataTypePtr type;
public:
String getName() const override { return "quantilesDeterministic"; }
DataTypePtr getReturnType() const override
{
return std::make_shared<DataTypeArray>(type);
}
void setArgumentsImpl(const DataTypes & arguments)
{
type = returns_float ? std::make_shared<DataTypeFloat64>() : arguments[0];
if (!arguments[1]->isNumeric())
throw Exception{
"Invalid type of second argument to function " + getName() +
", got " + arguments[1]->getName() + ", expected numeric",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT
};
}
void setParameters(const Array & params) override
{
if (params.empty())
throw Exception("Aggregate function " + getName() + " requires at least one parameter.", ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
size_t size = params.size();
levels.resize(size);
for (size_t i = 0; i < size; ++i)
levels[i] = apply_visitor(FieldVisitorConvertToNumber<Float64>(), params[i]);
}
void addImpl(AggregateDataPtr place, const IColumn & column, const IColumn & determinator, size_t row_num) const
{
this->data(place).sample.insert(static_cast<const ColumnVector<ArgumentFieldType> &>(column).getData()[row_num],
determinator.get64(row_num));
}
void merge(AggregateDataPtr place, ConstAggregateDataPtr rhs) const override
{
this->data(place).sample.merge(this->data(rhs).sample);
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const override
{
this->data(place).sample.write(buf);
}
void deserialize(AggregateDataPtr place, ReadBuffer & buf) const override
{
this->data(place).sample.read(buf);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const override
{
/// Sample может отсортироваться при получении квантиля, но в этом контексте можно не считать это нарушением константности.
Sample & sample = const_cast<Sample &>(this->data(place).sample);
ColumnArray & arr_to = static_cast<ColumnArray &>(to);
ColumnArray::Offsets_t & offsets_to = arr_to.getOffsets();
size_t size = levels.size();
offsets_to.push_back((offsets_to.size() == 0 ? 0 : offsets_to.back()) + size);
if (returns_float)
{
ColumnFloat64::Container_t & data_to = static_cast<ColumnFloat64 &>(arr_to.getData()).getData();
for (size_t i = 0; i < size; ++i)
data_to.push_back(sample.quantileInterpolated(levels[i]));
}
else
{
typename ColumnVector<ArgumentFieldType>::Container_t & data_to = static_cast<ColumnVector<ArgumentFieldType> &>(arr_to.getData()).getData();
for (size_t i = 0; i < size; ++i)
data_to.push_back(sample.quantileInterpolated(levels[i]));
}
}
};
}