dbms: add quantile[s]Deterministic, rename stdext:: to ext:: [#METR-13199]

This commit is contained in:
Andrey Mironov 2014-11-21 15:29:33 +03:00
parent 24f3f80b9f
commit d0971956e0
15 changed files with 528 additions and 27 deletions

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@ -33,7 +33,7 @@ template <typename ArgumentFieldType, bool returns_float = true>
class AggregateFunctionQuantile final : public IUnaryAggregateFunction<AggregateFunctionQuantileData<ArgumentFieldType>, AggregateFunctionQuantile<ArgumentFieldType, returns_float> >
{
private:
typedef ReservoirSampler<ArgumentFieldType, ReservoirSamplerOnEmpty::RETURN_NAN_OR_ZERO> Sample;
using Sample = typename AggregateFunctionQuantileData<ArgumentFieldType>::Sample;
double level;
DataTypePtr type;
@ -108,7 +108,7 @@ template <typename ArgumentFieldType, bool returns_float = true>
class AggregateFunctionQuantiles final : public IUnaryAggregateFunction<AggregateFunctionQuantileData<ArgumentFieldType>, AggregateFunctionQuantiles<ArgumentFieldType, returns_float> >
{
private:
typedef ReservoirSampler<ArgumentFieldType, ReservoirSamplerOnEmpty::RETURN_NAN_OR_ZERO> Sample;
using Sample = typename AggregateFunctionQuantileData<ArgumentFieldType>::Sample;
typedef std::vector<double> Levels;
Levels levels;

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@ -0,0 +1,212 @@
#pragma once
#include <DB/AggregateFunctions/ReservoirSamplerDeterministic.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 { return "quantileDeterministic"; }
DataTypePtr getReturnType() const
{
return type;
}
void setArgumentsImpl(const DataTypes & arguments)
{
type = returns_float ? new 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)
{
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 addOne(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
{
this->data(place).sample.merge(this->data(rhs).sample);
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const
{
this->data(place).sample.write(buf);
}
void deserializeMerge(AggregateDataPtr place, ReadBuffer & buf) const
{
Sample tmp_sample;
tmp_sample.read(buf);
this->data(place).sample.merge(tmp_sample);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const
{
/// 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;
typedef std::vector<double> Levels;
Levels levels;
DataTypePtr type;
public:
String getName() const { return "quantilesDeterministic"; }
DataTypePtr getReturnType() const
{
return new DataTypeArray(type);
}
void setArgumentsImpl(const DataTypes & arguments)
{
type = returns_float ? new 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)
{
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 addOne(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
{
this->data(place).sample.merge(this->data(rhs).sample);
}
void serialize(ConstAggregateDataPtr place, WriteBuffer & buf) const
{
this->data(place).sample.write(buf);
}
void deserializeMerge(AggregateDataPtr place, ReadBuffer & buf) const
{
Sample tmp_sample;
tmp_sample.read(buf);
this->data(place).sample.merge(tmp_sample);
}
void insertResultInto(ConstAggregateDataPtr place, IColumn & to) const
{
/// 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]));
}
}
};
}

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@ -0,0 +1,32 @@
#pragma once
#include <DB/AggregateFunctions/IAggregateFunction.h>
namespace DB
{
template <typename T, typename Derived>
class IBinaryAggregateFunction : public IAggregateFunctionHelper<T>
{
Derived & getDerived() { return static_cast<Derived &>(*this); }
const Derived & getDerived() const { return static_cast<const Derived &>(*this); }
public:
void setArguments(const DataTypes & arguments)
{
if (arguments.size() != 2)
throw Exception{
"Passed " + toString(arguments.size()) + " arguments to binary aggregate function " + this->getName(),
ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH
};
getDerived().setArgumentsImpl(arguments);
}
void add(AggregateDataPtr place, const IColumn ** columns, const size_t row_num) const
{
getDerived().addOne(place, *columns[0], *columns[1], row_num);
}
};
}

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@ -0,0 +1,210 @@
#pragma once
#include <limits>
#include <vector>
#include <algorithm>
#include <climits>
#include <sstream>
#include <stats/ReservoirSampler.h>
#include <Yandex/Common.h>
#include <DB/IO/ReadBuffer.h>
#include <DB/IO/ReadHelpers.h>
#include <DB/IO/WriteHelpers.h>
#include <Poco/Exception.h>
#include <boost/random.hpp>
/// Реализация алгоритма Reservoir Sampling. Инкрементально выбирает из добавленных объектов случайное подмножество размера sample_count.
/// Умеет приближенно получать квантили.
/// Вызов quantile занимает O(sample_count log sample_count), если после предыдущего вызова quantile был хотя бы один вызов insert. Иначе, O(1).
/// То есть, имеет смысл сначала добавлять, потом получать квантили, не добавляя.
namespace detail
{
const size_t DEFAULT_SAMPLE_COUNT = 8192;
}
/// Что делать, если нет ни одного значения - кинуть исключение, или вернуть 0 или NaN в случае double?
enum class ReservoirSamplerDeterministicOnEmpty
{
THROW,
RETURN_NAN_OR_ZERO,
};
template<typename T,
ReservoirSamplerDeterministicOnEmpty OnEmpty = ReservoirSamplerDeterministicOnEmpty::THROW>
class ReservoirSamplerDeterministic
{
bool good(const UInt32 hash)
{
return hash == ((hash >> skip_degree) << skip_degree);
}
public:
ReservoirSamplerDeterministic(const size_t sample_count = DEFAULT_SAMPLE_COUNT)
: sample_count{sample_count}
{
}
void clear()
{
samples.clear();
sorted = false;
total_values = 0;
}
void insert(const T & v, const UInt64 determinator)
{
const UInt32 hash = intHash64(determinator);
if (!good(hash))
return;
insertImpl(v, hash);
sorted = false;
++total_values;
}
void insertImpl(const T & v, const UInt32 hash)
{
if (samples.size() == sample_count)
{
++skip_degree;
thinOut();
}
samples.emplace_back(v, hash);
}
void thinOut()
{
auto size = samples.size();
for (size_t i = 0; i < size;)
{
if (!good(samples[i].second))
{
/// swap current element with the last one
std::swap(samples[size - 1], samples[i]);
--size;
}
else
++i;
}
if (size != samples.size())
{
samples.resize(size);
sorted = false;
}
}
size_t size() const
{
return total_values;
}
T quantileNearest(double level)
{
if (samples.empty())
return onEmpty<T>();
sortIfNeeded();
double index = level * (samples.size() - 1);
size_t int_index = static_cast<size_t>(index + 0.5);
int_index = std::max(0LU, std::min(samples.size() - 1, int_index));
return samples[int_index].first;
}
/** Если T не числовой тип, использование этого метода вызывает ошибку компиляции,
* но использование класса ошибки не вызывает. SFINAE.
*/
double quantileInterpolated(double level)
{
if (samples.empty())
return onEmpty<double>();
sortIfNeeded();
const double index = std::max(0., std::min(samples.size() - 1., level * (samples.size() - 1)));
/// Чтобы получить значение по дробному индексу линейно интерполируем между соседними значениями.
size_t left_index = static_cast<size_t>(index);
size_t right_index = left_index + 1;
if (right_index == samples.size())
return samples[left_index].first;
const double left_coef = right_index - index;
const double right_coef = index - left_index;
return samples[left_index].first * left_coef + samples[right_index].first * right_coef;
}
void merge(const ReservoirSamplerDeterministic & b)
{
if (sample_count != b.sample_count)
throw Poco::Exception("Cannot merge ReservoirSamplerDeterministic's with different sample_count");
sorted = false;
if (b.skip_degree > skip_degree)
{
skip_degree = b.skip_degree;
thinOut();
}
for (size_t i = 0; i < b.samples.size(); ++i)
if (good(b.samples[i].second))
insertImpl(b.samples[i].first, b.samples[i].second);
total_values += b.total_values;
}
void read(DB::ReadBuffer & buf)
{
DB::readIntBinary<size_t>(sample_count, buf);
DB::readIntBinary<size_t>(total_values, buf);
samples.resize(std::min(total_values, sample_count));
for (size_t i = 0; i < samples.size(); ++i)
DB::readBinary(samples[i].first, buf);
sorted = false;
}
void write(DB::WriteBuffer & buf) const
{
DB::writeIntBinary<size_t>(sample_count, buf);
DB::writeIntBinary<size_t>(total_values, buf);
for (size_t i = 0; i < std::min(sample_count, total_values); ++i)
DB::writeBinary(samples[i].first, buf);
}
private:
friend void rs_perf_test();
friend void qdigest_test(int, UInt64, const std::vector<UInt64> &, int, bool);
size_t sample_count;
size_t total_values{};
bool sorted{};
std::vector<std::pair<T, UInt32>> samples;
UInt8 skip_degree{};
void sortIfNeeded()
{
if (sorted)
return;
sorted = true;
std::sort(samples.begin(), samples.end(), [] (const std::pair<T, UInt32> & lhs, const std::pair<T, UInt32> & rhs) {
return lhs.first < rhs.first;
});
}
template <typename ResultType>
ResultType onEmpty() const
{
if (OnEmpty == ReservoirSamplerDeterministicOnEmpty::THROW)
throw Poco::Exception("Quantile of empty ReservoirSamplerDeterministic");
else
return NanLikeValueConstructor<ResultType, std::is_floating_point<ResultType>::value>::getValue();
}
};

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@ -3,7 +3,7 @@
#include <Poco/Mutex.h>
#include <statdaemons/OptimizedRegularExpression.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <DB/DataTypes/DataTypesNumberFixed.h>
#include <DB/DataTypes/DataTypeString.h>
@ -313,7 +313,7 @@ namespace Regexps
auto it = known_regexps.find(pattern);
if (known_regexps.end() == it)
it = known_regexps.emplace(pattern, stdext::make_unique<Holder>()).first;
it = known_regexps.emplace(pattern, ext::make_unique<Holder>()).first;
return it->second->get([&pattern] {
return new Regexp{createRegexp<like>(pattern)};

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@ -16,7 +16,7 @@ inline void evaluateMissingDefaults(Block & block,
if (column_defaults.empty())
return;
ASTPtr default_expr_list{stdext::make_unique<ASTExpressionList>().release()};
ASTPtr default_expr_list{ext::make_unique<ASTExpressionList>().release()};
for (const auto & column : required_columns)
{

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@ -10,7 +10,7 @@
#include <DB/Interpreters/InterpreterInsertQuery.h>
#include <statdaemons/Increment.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <iostream>
#include <type_traits>

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@ -14,7 +14,7 @@
#include <DB/Storages/AlterCommands.h>
#include <Poco/File.h>
#include <Poco/RWLock.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
namespace DB
@ -125,7 +125,7 @@ public:
*/
TableDataWriteLockPtr lockDataForAlter()
{
auto res = stdext::make_unique<Poco::ScopedWriteRWLock>(data_lock);
auto res = ext::make_unique<Poco::ScopedWriteRWLock>(data_lock);
if (is_dropped)
throw Exception("Table is dropped", ErrorCodes::TABLE_IS_DROPPED);
return res;
@ -133,7 +133,7 @@ public:
TableStructureWriteLockPtr lockStructureForAlter()
{
auto res = stdext::make_unique<Poco::ScopedWriteRWLock>(structure_lock);
auto res = ext::make_unique<Poco::ScopedWriteRWLock>(structure_lock);
if (is_dropped)
throw Exception("Table is dropped", ErrorCodes::TABLE_IS_DROPPED);
return res;

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@ -1,7 +1,7 @@
#pragma once
#include <statdaemons/Stopwatch.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <list>
#include <mutex>
#include <atomic>
@ -67,7 +67,7 @@ public:
EntryPtr insert(Args &&... args)
{
std::lock_guard<std::mutex> lock{mutex};
return stdext::make_unique<Entry>(*this, merges.emplace(merges.end(), std::forward<Args>(args)...));
return ext::make_unique<Entry>(*this, merges.emplace(merges.end(), std::forward<Args>(args)...));
}
container_t get() const

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@ -9,7 +9,7 @@
#include <DB/Parsers/ASTSubquery.h>
#include <DB/Parsers/formatAST.h>
#include <DB/Common/escapeForFileName.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <unordered_map>
#include <map>
#include <limits>

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@ -9,6 +9,7 @@
#include <DB/AggregateFunctions/AggregateFunctionGroupUniqArray.h>
#include <DB/AggregateFunctions/AggregateFunctionQuantile.h>
#include <DB/AggregateFunctions/AggregateFunctionQuantileTiming.h>
#include <DB/AggregateFunctions/AggregateFunctionQuantileDeterministic.h>
#include <DB/AggregateFunctions/AggregateFunctionIf.h>
#include <DB/AggregateFunctions/AggregateFunctionArray.h>
#include <DB/AggregateFunctions/AggregateFunctionState.h>
@ -325,6 +326,50 @@ AggregateFunctionPtr AggregateFunctionFactory::get(const String & name, const Da
return res;
}
else if (name == "quantileDeterministic")
{
if (argument_types.size() != 2)
throw Exception("Incorrect number of arguments for aggregate function " + name, ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
const IDataType & argument_type = *argument_types[0];
if (typeid_cast<const DataTypeUInt8 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<UInt8>;
else if (typeid_cast<const DataTypeUInt16 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<UInt16>;
else if (typeid_cast<const DataTypeUInt32 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<UInt32>;
else if (typeid_cast<const DataTypeUInt64 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<UInt64>;
else if (typeid_cast<const DataTypeInt8 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Int8>;
else if (typeid_cast<const DataTypeInt16 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Int16>;
else if (typeid_cast<const DataTypeInt32 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Int32>;
else if (typeid_cast<const DataTypeInt64 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Int64>;
else if (typeid_cast<const DataTypeFloat32 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Float32>;
else if (typeid_cast<const DataTypeFloat64 *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<Float64>;
else if (typeid_cast<const DataTypeDate *>(&argument_type)) return new AggregateFunctionQuantileDeterministic<DataTypeDate::FieldType, false>;
else if (typeid_cast<const DataTypeDateTime*>(&argument_type)) return new AggregateFunctionQuantileDeterministic<DataTypeDateTime::FieldType, false>;
else
throw Exception("Illegal type " + argument_types[0]->getName() + " of argument for aggregate function " + name, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
else if (name == "quantilesDeterministic")
{
if (argument_types.size() != 2)
throw Exception("Incorrect number of arguments for aggregate function " + name, ErrorCodes::NUMBER_OF_ARGUMENTS_DOESNT_MATCH);
const IDataType & argument_type = *argument_types[0];
if (typeid_cast<const DataTypeUInt8 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<UInt8>;
else if (typeid_cast<const DataTypeUInt16 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<UInt16>;
else if (typeid_cast<const DataTypeUInt32 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<UInt32>;
else if (typeid_cast<const DataTypeUInt64 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<UInt64>;
else if (typeid_cast<const DataTypeInt8 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Int8>;
else if (typeid_cast<const DataTypeInt16 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Int16>;
else if (typeid_cast<const DataTypeInt32 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Int32>;
else if (typeid_cast<const DataTypeInt64 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Int64>;
else if (typeid_cast<const DataTypeFloat32 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Float32>;
else if (typeid_cast<const DataTypeFloat64 *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<Float64>;
else if (typeid_cast<const DataTypeDate *>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<DataTypeDate::FieldType, false>;
else if (typeid_cast<const DataTypeDateTime*>(&argument_type)) return new AggregateFunctionQuantilesDeterministic<DataTypeDateTime::FieldType, false>;
else
throw Exception("Illegal type " + argument_types[0]->getName() + " of argument for aggregate function " + name, ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
else if (recursion_level == 0 && name.size() > strlen("State") && !(strcmp(name.data() + name.size() - strlen("State"), "State")))
{
/// Для агрегатных функций вида aggState, где agg - имя другой агрегатной функции.
@ -386,7 +431,7 @@ AggregateFunctionPtr AggregateFunctionFactory::tryGet(const String & name, const
bool AggregateFunctionFactory::isAggregateFunctionName(const String & name, int recursion_level) const
{
static const char * names[] =
static const char * names[]
{
"count",
"any",
@ -409,7 +454,9 @@ bool AggregateFunctionFactory::isAggregateFunctionName(const String & name, int
"medianTiming",
"quantileTiming",
"quantilesTiming",
NULL
"quantileDeterministic",
"quantilesDeterministic",
nullptr
};
for (const char ** it = names; *it; ++it)

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@ -12,7 +12,7 @@
#include <DB/Parsers/ASTExpressionList.h>
#include <DB/Interpreters/ExpressionAnalyzer.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <DB/Parsers/formatAST.h>

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@ -5,7 +5,7 @@
#include <Yandex/ApplicationServerExt.h>
#include <statdaemons/ConfigProcessor.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
#include <DB/Interpreters/loadMetadata.h>
#include <DB/Storages/StorageSystemNumbers.h>
@ -383,7 +383,7 @@ int Server::main(const std::vector<std::string> & args)
global_context->setMacros(Macros(config(), "macros"));
std::string users_config_path = config().getString("users_config", config().getString("config-file", "config.xml"));
auto users_config_reloader = stdext::make_unique<UsersConfigReloader>(users_config_path, global_context.get());
auto users_config_reloader = ext::make_unique<UsersConfigReloader>(users_config_path, global_context.get());
/// Максимальное количество одновременно выполняющихся запросов.
global_context->getProcessList().setMaxSize(config().getInt("max_concurrent_queries", 0));
@ -428,7 +428,7 @@ int Server::main(const std::vector<std::string> & args)
{
const auto profile_events_transmitter = config().getBool("use_graphite", true)
? stdext::make_unique<ProfileEventsTransmitter>()
? ext::make_unique<ProfileEventsTransmitter>()
: nullptr;
const std::string listen_host = config().getString("listen_host", "::");

View File

@ -348,7 +348,7 @@ MergeTreeData::DataPartPtr MergeTreeDataMerger::mergeParts(
{
MarkRanges ranges(1, MarkRange(0, parts[i]->size));
auto input = stdext::make_unique<MergeTreeBlockInputStream>(
auto input = ext::make_unique<MergeTreeBlockInputStream>(
data.getFullPath() + parts[i]->name + '/', DEFAULT_MERGE_BLOCK_SIZE, union_column_names, data,
parts[i], ranges, false, nullptr, "");
@ -372,19 +372,19 @@ MergeTreeData::DataPartPtr MergeTreeDataMerger::mergeParts(
switch (data.mode)
{
case MergeTreeData::Ordinary:
merged_stream = stdext::make_unique<MergingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
merged_stream = ext::make_unique<MergingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
break;
case MergeTreeData::Collapsing:
merged_stream = stdext::make_unique<CollapsingSortedBlockInputStream>(src_streams, data.getSortDescription(), data.sign_column, DEFAULT_MERGE_BLOCK_SIZE);
merged_stream = ext::make_unique<CollapsingSortedBlockInputStream>(src_streams, data.getSortDescription(), data.sign_column, DEFAULT_MERGE_BLOCK_SIZE);
break;
case MergeTreeData::Summing:
merged_stream = stdext::make_unique<SummingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
merged_stream = ext::make_unique<SummingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
break;
case MergeTreeData::Aggregating:
merged_stream = stdext::make_unique<AggregatingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
merged_stream = ext::make_unique<AggregatingSortedBlockInputStream>(src_streams, data.getSortDescription(), DEFAULT_MERGE_BLOCK_SIZE);
break;
default:

View File

@ -12,7 +12,7 @@
#include <DB/Core/Field.h>
#include <statdaemons/stdext.h>
#include <statdaemons/ext/memory.hpp>
namespace DB
{
@ -228,7 +228,7 @@ bool StorageDistributed::hasColumn(const String & column_name) const
void StorageDistributed::createDirectoryMonitor(const std::string & name)
{
directory_monitors.emplace(name, stdext::make_unique<DirectoryMonitor>(*this, name));
directory_monitors.emplace(name, ext::make_unique<DirectoryMonitor>(*this, name));
}
void StorageDistributed::createDirectoryMonitors()