ClickHouse/dbms/include/DB/Functions/FunctionsArithmetic.h

1087 lines
39 KiB
C++
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

#pragma once
#include <DB/DataTypes/DataTypesNumberFixed.h>
#include <DB/DataTypes/DataTypeDate.h>
#include <DB/DataTypes/DataTypeDateTime.h>
#include <DB/Functions/IFunction.h>
#include <DB/Functions/NumberTraits.h>
#include <DB/Functions/AccurateComparison.h>
#include <DB/Core/FieldVisitors.h>
namespace DB
{
namespace ErrorCodes
{
extern const int ILLEGAL_DIVISION;
}
/** Арифметические функции: +, -, *, /, %,
* intDiv (целочисленное деление), унарный минус.
* Битовые функции: |, &, ^, ~.
*/
template<typename A, typename B, typename Op, typename ResultType_ = typename Op::ResultType>
struct BinaryOperationImplBase
{
using ResultType = ResultType_;
static void vector_vector(const PaddedPODArray<A> & a, const PaddedPODArray<B> & b, PaddedPODArray<ResultType> & c)
{
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a[i], b[i]);
}
static void vector_constant(const PaddedPODArray<A> & a, B b, PaddedPODArray<ResultType> & c)
{
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a[i], b);
}
static void constant_vector(A a, const PaddedPODArray<B> & b, PaddedPODArray<ResultType> & c)
{
size_t size = b.size();
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a, b[i]);
}
static void constant_constant(A a, B b, ResultType & c)
{
c = Op::template apply<ResultType>(a, b);
}
};
template<typename A, typename B, typename Op, typename ResultType = typename Op::ResultType>
struct BinaryOperationImpl : BinaryOperationImplBase<A, B, Op, ResultType>
{
};
template<typename A, typename Op>
struct UnaryOperationImpl
{
using ResultType = typename Op::ResultType;
static void vector(const PaddedPODArray<A> & a, PaddedPODArray<ResultType> & c)
{
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = Op::apply(a[i]);
}
static void constant(A a, ResultType & c)
{
c = Op::apply(a);
}
};
template<typename A, typename B>
struct PlusImpl
{
using ResultType = typename NumberTraits::ResultOfAdditionMultiplication<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
/// Далее везде, static_cast - чтобы не было неправильного результата в выражениях вида Int64 c = UInt32(a) * Int32(-1).
return static_cast<Result>(a) + b;
}
};
template<typename A, typename B>
struct MultiplyImpl
{
using ResultType = typename NumberTraits::ResultOfAdditionMultiplication<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a) * b;
}
};
template<typename A, typename B>
struct MinusImpl
{
using ResultType = typename NumberTraits::ResultOfSubtraction<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a) - b;
}
};
template<typename A, typename B>
struct DivideFloatingImpl
{
using ResultType = typename NumberTraits::ResultOfFloatingPointDivision<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a) / b;
}
};
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wsign-compare"
template <typename A, typename B>
inline void throwIfDivisionLeadsToFPE(A a, B b)
{
/// Возможно, лучше вместо проверок использовать siglongjmp?
if (unlikely(b == 0))
throw Exception("Division by zero", ErrorCodes::ILLEGAL_DIVISION);
/// http://avva.livejournal.com/2548306.html
if (unlikely(std::is_signed<A>::value && std::is_signed<B>::value && a == std::numeric_limits<A>::min() && b == -1))
throw Exception("Division of minimal signed number by minus one", ErrorCodes::ILLEGAL_DIVISION);
}
template <typename A, typename B>
inline bool divisionLeadsToFPE(A a, B b)
{
/// Возможно, лучше вместо проверок использовать siglongjmp?
if (unlikely(b == 0))
return true;
/// http://avva.livejournal.com/2548306.html
if (unlikely(std::is_signed<A>::value && std::is_signed<B>::value && a == std::numeric_limits<A>::min() && b == -1))
return true;
return false;
}
#pragma GCC diagnostic pop
template<typename A, typename B>
struct DivideIntegralImpl
{
using ResultType = typename NumberTraits::ResultOfIntegerDivision<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
throwIfDivisionLeadsToFPE(a, b);
return a / b;
}
};
template<typename A, typename B>
struct DivideIntegralOrZeroImpl
{
using ResultType = typename NumberTraits::ResultOfIntegerDivision<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return unlikely(divisionLeadsToFPE(a, b)) ? 0 : a / b;
}
};
template<typename A, typename B>
struct ModuloImpl
{
using ResultType = typename NumberTraits::ResultOfModulo<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
throwIfDivisionLeadsToFPE(typename NumberTraits::ToInteger<A>::Type(a), typename NumberTraits::ToInteger<A>::Type(b));
return typename NumberTraits::ToInteger<A>::Type(a)
% typename NumberTraits::ToInteger<A>::Type(b);
}
};
template<typename A, typename B>
struct BitAndImpl
{
using ResultType = typename NumberTraits::ResultOfBit<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a)
& static_cast<Result>(b);
}
};
template<typename A, typename B>
struct BitOrImpl
{
using ResultType = typename NumberTraits::ResultOfBit<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a)
| static_cast<Result>(b);
}
};
template<typename A, typename B>
struct BitXorImpl
{
using ResultType = typename NumberTraits::ResultOfBit<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a)
^ static_cast<Result>(b);
}
};
template<typename A, typename B>
struct BitShiftLeftImpl
{
using ResultType = typename NumberTraits::ResultOfBit<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a)
<< static_cast<Result>(b);
}
};
template<typename A, typename B>
struct BitShiftRightImpl
{
using ResultType = typename NumberTraits::ResultOfBit<A, B>::Type;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a)
>> static_cast<Result>(b);
}
};
template<typename A, typename B>
struct LeastBaseImpl
{
using ResultType = NumberTraits::ResultOfLeast<A, B>;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
/** gcc 4.9.2 успешно векторизует цикл из этой функции. */
return static_cast<Result>(a) < static_cast<Result>(b) ? static_cast<Result>(a) : static_cast<Result>(b);
}
};
template<typename A, typename B>
struct LeastSpecialImpl
{
using ResultType = std::make_signed_t<A>;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
static_assert(std::is_same<Result, ResultType>::value, "ResultType != Result");
return accurate::lessOp(a, b) ? static_cast<Result>(a) : static_cast<Result>(b);
}
};
template<typename A, typename B>
using LeastImpl = std::conditional_t<!NumberTraits::LeastGreatestSpecialCase<A, B>::value, LeastBaseImpl<A, B>, LeastSpecialImpl<A, B>>;
template<typename A, typename B>
struct GreatestBaseImpl
{
using ResultType = NumberTraits::ResultOfGreatest<A, B>;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
return static_cast<Result>(a) > static_cast<Result>(b) ? static_cast<Result>(a) : static_cast<Result>(b);
}
};
template<typename A, typename B>
struct GreatestSpecialImpl
{
using ResultType = std::make_unsigned_t<A>;
template <typename Result = ResultType>
static inline Result apply(A a, B b)
{
static_assert(std::is_same<Result, ResultType>::value, "ResultType != Result");
return accurate::greaterOp(a, b) ? static_cast<Result>(a) : static_cast<Result>(b);
}
};
template<typename A, typename B>
using GreatestImpl = std::conditional_t<!NumberTraits::LeastGreatestSpecialCase<A, B>::value, GreatestBaseImpl<A, B>, GreatestSpecialImpl<A, B>>;
template<typename A>
struct NegateImpl
{
using ResultType = typename NumberTraits::ResultOfNegate<A>::Type;
static inline ResultType apply(A a)
{
return -static_cast<ResultType>(a);
}
};
template<typename A>
struct BitNotImpl
{
using ResultType = typename NumberTraits::ResultOfBitNot<A>::Type;
static inline ResultType apply(A a)
{
return ~static_cast<ResultType>(a);
}
};
template<typename A>
struct AbsImpl
{
using ResultType = typename NumberTraits::ResultOfAbs<A>::Type;
template<typename T = A>
static inline ResultType apply(T a,
typename std::enable_if<std::is_integral<T>::value && std::is_signed<T>::value, void>::type * = nullptr)
{
return a < 0 ? static_cast<ResultType>(~a) + 1 : a;
}
template<typename T = A>
static inline ResultType apply(T a,
typename std::enable_if<std::is_integral<T>::value && std::is_unsigned<T>::value, void>::type * = nullptr)
{
return static_cast<ResultType>(a);
}
template<typename T = A>
static inline ResultType apply(T a, typename std::enable_if<std::is_floating_point<T>::value, void>::type * = nullptr)
{
return static_cast<ResultType>(std::abs(a));
}
};
/// this one is just for convenience
template <bool B, typename T1, typename T2> using If = typename std::conditional<B, T1, T2>::type;
/// these ones for better semantics
template <typename T> using Then = T;
template <typename T> using Else = T;
/// Used to indicate undefined operation
struct InvalidType;
template <>
struct DataTypeFromFieldType<NumberTraits::Error>
{
using Type = InvalidType;
};
template <typename DataType> struct IsIntegral { static constexpr auto value = false; };
template <> struct IsIntegral<DataTypeUInt8> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeUInt16> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeUInt32> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeUInt64> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeInt8> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeInt16> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeInt32> { static constexpr auto value = true; };
template <> struct IsIntegral<DataTypeInt64> { static constexpr auto value = true; };
template <typename DataType> struct IsFloating { static constexpr auto value = false; };
template <> struct IsFloating<DataTypeFloat32> { static constexpr auto value = true; };
template <> struct IsFloating<DataTypeFloat64> { static constexpr auto value = true; };
template <typename DataType> struct IsNumeric
{
static constexpr auto value = IsIntegral<DataType>::value || IsFloating<DataType>::value;
};
template <typename DataType> struct IsDateOrDateTime { static constexpr auto value = false; };
template <> struct IsDateOrDateTime<DataTypeDate> { static constexpr auto value = true; };
template <> struct IsDateOrDateTime<DataTypeDateTime> { static constexpr auto value = true; };
/** Returns appropriate result type for binary operator on dates (or datetimes):
* Date + Integral -> Date
* Integral + Date -> Date
* Date - Date -> Int32
* Date - Integral -> Date
* least(Date, Date) -> Date
* greatest(Date, Date) -> Date
* All other operations are not defined and return InvalidType, operations on
* distinct date types are also undefined (e.g. DataTypeDate - DataTypeDateTime) */
template <template <typename, typename> class Operation, typename LeftDataType, typename RightDataType>
struct DateBinaryOperationTraits
{
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using Op = Operation<T0, T1>;
using ResultDataType =
If<std::is_same<Op, PlusImpl<T0, T1>>::value,
Then<
If<IsDateOrDateTime<LeftDataType>::value && IsIntegral<RightDataType>::value,
Then<LeftDataType>,
Else<
If<IsIntegral<LeftDataType>::value && IsDateOrDateTime<RightDataType>::value,
Then<RightDataType>,
Else<InvalidType>
>
>
>
>,
Else<
If<std::is_same<Op, MinusImpl<T0, T1>>::value,
Then<
If<IsDateOrDateTime<LeftDataType>::value,
Then<
If<std::is_same<LeftDataType, RightDataType>::value,
Then<DataTypeInt32>,
Else<
If<IsIntegral<RightDataType>::value,
Then<LeftDataType>,
Else<InvalidType>
>
>
>
>,
Else<InvalidType>
>
>,
Else<
If<std::is_same<T0, T1>::value
&& (std::is_same<Op, LeastImpl<T0, T1>>::value || std::is_same<Op, GreatestImpl<T0, T1>>::value),
Then<LeftDataType>,
Else<InvalidType>
>
>
>
>
>;
};
/// Decides among date and numeric operations
template <template <typename, typename> class Operation, typename LeftDataType, typename RightDataType>
struct BinaryOperationTraits
{
using ResultDataType =
If<IsDateOrDateTime<LeftDataType>::value || IsDateOrDateTime<RightDataType>::value,
Then<
typename DateBinaryOperationTraits<
Operation, LeftDataType, RightDataType
>::ResultDataType
>,
Else<
typename DataTypeFromFieldType<
typename Operation<
typename LeftDataType::FieldType,
typename RightDataType::FieldType
>::ResultType
>::Type
>
>;
};
template <template <typename, typename> class Op, typename Name>
class FunctionBinaryArithmetic : public IFunction
{
public:
static constexpr auto name = Name::name;
static FunctionPtr create(const Context & context) { return std::make_shared<FunctionBinaryArithmetic>(); }
private:
/// Overload for InvalidType
template <typename ResultDataType,
typename std::enable_if<std::is_same<ResultDataType, InvalidType>::value>::type * = nullptr>
bool checkRightTypeImpl(DataTypePtr & type_res) const
{
return false;
}
/// Overload for well-defined operations
template <typename ResultDataType,
typename std::enable_if<!std::is_same<ResultDataType, InvalidType>::value>::type * = nullptr>
bool checkRightTypeImpl(DataTypePtr & type_res) const
{
type_res = std::make_shared<ResultDataType>();
return true;
}
template <typename LeftDataType, typename RightDataType>
bool checkRightType(const DataTypes & arguments, DataTypePtr & type_res) const
{
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
if (typeid_cast<const RightDataType *>(&*arguments[1]))
return checkRightTypeImpl<ResultDataType>(type_res);
return false;
}
template <typename T0>
bool checkLeftType(const DataTypes & arguments, DataTypePtr & type_res) const
{
if (typeid_cast<const T0 *>(&*arguments[0]))
{
if ( checkRightType<T0, DataTypeDate>(arguments, type_res)
|| checkRightType<T0, DataTypeDateTime>(arguments, type_res)
|| checkRightType<T0, DataTypeUInt8>(arguments, type_res)
|| checkRightType<T0, DataTypeUInt16>(arguments, type_res)
|| checkRightType<T0, DataTypeUInt32>(arguments, type_res)
|| checkRightType<T0, DataTypeUInt64>(arguments, type_res)
|| checkRightType<T0, DataTypeInt8>(arguments, type_res)
|| checkRightType<T0, DataTypeInt16>(arguments, type_res)
|| checkRightType<T0, DataTypeInt32>(arguments, type_res)
|| checkRightType<T0, DataTypeInt64>(arguments, type_res)
|| checkRightType<T0, DataTypeFloat32>(arguments, type_res)
|| checkRightType<T0, DataTypeFloat64>(arguments, type_res))
return true;
else
throw Exception("Illegal type " + arguments[1]->getName() + " of second argument of function " + getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
return false;
}
/// Overload for date operations
template <typename LeftDataType, typename RightDataType, typename ColumnType>
bool executeRightType(Block & block, const ColumnNumbers & arguments, const size_t result, const ColumnType * col_left)
{
if (!typeid_cast<const RightDataType *>(block.safeGetByPosition(arguments[1]).type.get()))
return false;
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
return executeRightTypeDispatch<LeftDataType, RightDataType, ResultDataType>(
block, arguments, result, col_left);
}
/// Overload for InvalidType
template <typename LeftDataType, typename RightDataType, typename ResultDataType, typename ColumnType,
typename std::enable_if<std::is_same<ResultDataType, InvalidType>::value>::type * = nullptr>
bool executeRightTypeDispatch(Block & block, const ColumnNumbers & arguments, const size_t result,
const ColumnType * col_left)
{
throw Exception("Types " + TypeName<typename LeftDataType::FieldType>::get()
+ " and " + TypeName<typename LeftDataType::FieldType>::get()
+ " are incompatible for function " + getName() + " or not upscaleable to common type", ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
}
/// Overload for well-defined operations
template <typename LeftDataType, typename RightDataType, typename ResultDataType, typename ColumnType,
typename std::enable_if<!std::is_same<ResultDataType, InvalidType>::value>::type * = nullptr>
bool executeRightTypeDispatch(Block & block, const ColumnNumbers & arguments, const size_t result,
const ColumnType * col_left)
{
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using ResultType = typename ResultDataType::FieldType;
return executeRightTypeImpl<T0, T1, ResultType>(block, arguments, result, col_left);
}
/// ColumnVector overload
template <typename T0, typename T1, typename ResultType = typename Op<T0, T1>::ResultType>
bool executeRightTypeImpl(Block & block, const ColumnNumbers & arguments, size_t result, const ColumnVector<T0> * col_left)
{
if (auto col_right = typeid_cast<const ColumnVector<T1> *>(block.safeGetByPosition(arguments[1]).column.get()))
{
auto col_res = std::make_shared<ColumnVector<ResultType>>();
block.safeGetByPosition(result).column = col_res;
auto & vec_res = col_res->getData();
vec_res.resize(col_left->getData().size());
BinaryOperationImpl<T0, T1, Op<T0, T1>, ResultType>::vector_vector(col_left->getData(), col_right->getData(), vec_res);
return true;
}
else if (auto col_right = typeid_cast<const ColumnConst<T1> *>(block.safeGetByPosition(arguments[1]).column.get()))
{
auto col_res = std::make_shared<ColumnVector<ResultType>>();
block.safeGetByPosition(result).column = col_res;
auto & vec_res = col_res->getData();
vec_res.resize(col_left->getData().size());
BinaryOperationImpl<T0, T1, Op<T0, T1>, ResultType>::vector_constant(col_left->getData(), col_right->getData(), vec_res);
return true;
}
throw Exception("Logical error: unexpected type of column", ErrorCodes::LOGICAL_ERROR);
}
/// ColumnConst overload
template <typename T0, typename T1, typename ResultType = typename Op<T0, T1>::ResultType>
bool executeRightTypeImpl(Block & block, const ColumnNumbers & arguments, size_t result, const ColumnConst<T0> * col_left)
{
if (auto col_right = typeid_cast<const ColumnVector<T1> *>(block.safeGetByPosition(arguments[1]).column.get()))
{
auto col_res = std::make_shared<ColumnVector<ResultType>>();
block.safeGetByPosition(result).column = col_res;
auto & vec_res = col_res->getData();
vec_res.resize(col_left->size());
BinaryOperationImpl<T0, T1, Op<T0, T1>, ResultType>::constant_vector(col_left->getData(), col_right->getData(), vec_res);
return true;
}
else if (auto col_right = typeid_cast<const ColumnConst<T1> *>(block.safeGetByPosition(arguments[1]).column.get()))
{
ResultType res = 0;
BinaryOperationImpl<T0, T1, Op<T0, T1>, ResultType>::constant_constant(col_left->getData(), col_right->getData(), res);
auto col_res = std::make_shared<ColumnConst<ResultType>>(col_left->size(), res);
block.safeGetByPosition(result).column = col_res;
return true;
}
return false;
}
template <typename LeftDataType>
bool executeLeftType(Block & block, const ColumnNumbers & arguments, const size_t result)
{
if (!typeid_cast<const LeftDataType *>(block.safeGetByPosition(arguments[0]).type.get()))
return false;
using T0 = typename LeftDataType::FieldType;
if ( executeLeftTypeImpl<LeftDataType, ColumnVector<T0>>(block, arguments, result)
|| executeLeftTypeImpl<LeftDataType, ColumnConst<T0>>(block, arguments, result))
return true;
return false;
}
template <typename LeftDataType, typename ColumnType>
bool executeLeftTypeImpl(Block & block, const ColumnNumbers & arguments, const size_t result)
{
if (auto col_left = typeid_cast<const ColumnType *>(block.safeGetByPosition(arguments[0]).column.get()))
{
if ( executeRightType<LeftDataType, DataTypeDate>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeDateTime>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeUInt8>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeUInt16>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeUInt32>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeUInt64>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeInt8>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeInt16>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeInt32>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeInt64>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeFloat32>(block, arguments, result, col_left)
|| executeRightType<LeftDataType, DataTypeFloat64>(block, arguments, result, col_left))
return true;
else
throw Exception("Illegal column " + block.safeGetByPosition(arguments[1]).column->getName()
+ " of second argument of function " + getName(),
ErrorCodes::ILLEGAL_COLUMN);
}
return false;
}
public:
/// Получить имя функции.
String getName() const override
{
return name;
}
size_t getNumberOfArguments() const override { return 2; }
/// Получить типы результата по типам аргументов. Если функция неприменима для данных аргументов - кинуть исключение.
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
DataTypePtr type_res;
if (!( checkLeftType<DataTypeDate>(arguments, type_res)
|| checkLeftType<DataTypeDateTime>(arguments, type_res)
|| checkLeftType<DataTypeUInt8>(arguments, type_res)
|| checkLeftType<DataTypeUInt16>(arguments, type_res)
|| checkLeftType<DataTypeUInt32>(arguments, type_res)
|| checkLeftType<DataTypeUInt64>(arguments, type_res)
|| checkLeftType<DataTypeInt8>(arguments, type_res)
|| checkLeftType<DataTypeInt16>(arguments, type_res)
|| checkLeftType<DataTypeInt32>(arguments, type_res)
|| checkLeftType<DataTypeInt64>(arguments, type_res)
|| checkLeftType<DataTypeFloat32>(arguments, type_res)
|| checkLeftType<DataTypeFloat64>(arguments, type_res)))
throw Exception("Illegal type " + arguments[0]->getName() + " of first argument of function " + getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return type_res;
}
/// Выполнить функцию над блоком.
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result) override
{
if (!( executeLeftType<DataTypeDate>(block, arguments, result)
|| executeLeftType<DataTypeDateTime>(block, arguments, result)
|| executeLeftType<DataTypeUInt8>(block, arguments, result)
|| executeLeftType<DataTypeUInt16>(block, arguments, result)
|| executeLeftType<DataTypeUInt32>(block, arguments, result)
|| executeLeftType<DataTypeUInt64>(block, arguments, result)
|| executeLeftType<DataTypeInt8>(block, arguments, result)
|| executeLeftType<DataTypeInt16>(block, arguments, result)
|| executeLeftType<DataTypeInt32>(block, arguments, result)
|| executeLeftType<DataTypeInt64>(block, arguments, result)
|| executeLeftType<DataTypeFloat32>(block, arguments, result)
|| executeLeftType<DataTypeFloat64>(block, arguments, result)))
throw Exception("Illegal column " + block.safeGetByPosition(arguments[0]).column->getName()
+ " of first argument of function " + getName(),
ErrorCodes::ILLEGAL_COLUMN);
}
};
template <typename FunctionName>
struct FunctionUnaryArithmeticMonotonicity;
template <template <typename> class Op, typename Name, bool is_injective>
class FunctionUnaryArithmetic : public IFunction
{
public:
static constexpr auto name = Name::name;
static FunctionPtr create(const Context & context) { return std::make_shared<FunctionUnaryArithmetic>(); }
private:
template <typename T0>
bool checkType(const DataTypes & arguments, DataTypePtr & result) const
{
if (typeid_cast<const T0 *>(&*arguments[0]))
{
result = std::make_shared<typename DataTypeFromFieldType<
typename Op<typename T0::FieldType>::ResultType>::Type>();
return true;
}
return false;
}
template <typename T0>
bool executeType(Block & block, const ColumnNumbers & arguments, size_t result)
{
if (const ColumnVector<T0> * col = typeid_cast<const ColumnVector<T0> *>(block.safeGetByPosition(arguments[0]).column.get()))
{
using ResultType = typename Op<T0>::ResultType;
std::shared_ptr<ColumnVector<ResultType>> col_res = std::make_shared<ColumnVector<ResultType>>();
block.safeGetByPosition(result).column = col_res;
typename ColumnVector<ResultType>::Container_t & vec_res = col_res->getData();
vec_res.resize(col->getData().size());
UnaryOperationImpl<T0, Op<T0> >::vector(col->getData(), vec_res);
return true;
}
else if (const ColumnConst<T0> * col = typeid_cast<const ColumnConst<T0> *>(block.safeGetByPosition(arguments[0]).column.get()))
{
using ResultType = typename Op<T0>::ResultType;
ResultType res = 0;
UnaryOperationImpl<T0, Op<T0> >::constant(col->getData(), res);
std::shared_ptr<ColumnConst<ResultType>> col_res = std::make_shared<ColumnConst<ResultType>>(col->size(), res);
block.safeGetByPosition(result).column = col_res;
return true;
}
return false;
}
public:
/// Получить имя функции.
String getName() const override
{
return name;
}
size_t getNumberOfArguments() const override { return 1; }
bool isInjective(const Block &) override { return is_injective; }
/// Получить типы результата по типам аргументов. Если функция неприменима для данных аргументов - кинуть исключение.
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
DataTypePtr result;
if (!( checkType<DataTypeUInt8>(arguments, result)
|| checkType<DataTypeUInt16>(arguments, result)
|| checkType<DataTypeUInt32>(arguments, result)
|| checkType<DataTypeUInt64>(arguments, result)
|| checkType<DataTypeInt8>(arguments, result)
|| checkType<DataTypeInt16>(arguments, result)
|| checkType<DataTypeInt32>(arguments, result)
|| checkType<DataTypeInt64>(arguments, result)
|| checkType<DataTypeFloat32>(arguments, result)
|| checkType<DataTypeFloat64>(arguments, result)))
throw Exception("Illegal type " + arguments[0]->getName() + " of argument of function " + getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return result;
}
/// Выполнить функцию над блоком.
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result) override
{
if (!( executeType<UInt8>(block, arguments, result)
|| executeType<UInt16>(block, arguments, result)
|| executeType<UInt32>(block, arguments, result)
|| executeType<UInt64>(block, arguments, result)
|| executeType<Int8>(block, arguments, result)
|| executeType<Int16>(block, arguments, result)
|| executeType<Int32>(block, arguments, result)
|| executeType<Int64>(block, arguments, result)
|| executeType<Float32>(block, arguments, result)
|| executeType<Float64>(block, arguments, result)))
throw Exception("Illegal column " + block.safeGetByPosition(arguments[0]).column->getName()
+ " of argument of function " + getName(),
ErrorCodes::ILLEGAL_COLUMN);
}
bool hasInformationAboutMonotonicity() const override
{
return FunctionUnaryArithmeticMonotonicity<Name>::has();
}
Monotonicity getMonotonicityForRange(const IDataType & type, const Field & left, const Field & right) const override
{
return FunctionUnaryArithmeticMonotonicity<Name>::get(left, right);
}
};
struct NamePlus { static constexpr auto name = "plus"; };
struct NameMinus { static constexpr auto name = "minus"; };
struct NameMultiply { static constexpr auto name = "multiply"; };
struct NameDivideFloating { static constexpr auto name = "divide"; };
struct NameDivideIntegral { static constexpr auto name = "intDiv"; };
struct NameDivideIntegralOrZero { static constexpr auto name = "intDivOrZero"; };
struct NameModulo { static constexpr auto name = "modulo"; };
struct NameNegate { static constexpr auto name = "negate"; };
struct NameAbs { static constexpr auto name = "abs"; };
struct NameBitAnd { static constexpr auto name = "bitAnd"; };
struct NameBitOr { static constexpr auto name = "bitOr"; };
struct NameBitXor { static constexpr auto name = "bitXor"; };
struct NameBitNot { static constexpr auto name = "bitNot"; };
struct NameBitShiftLeft { static constexpr auto name = "bitShiftLeft"; };
struct NameBitShiftRight { static constexpr auto name = "bitShiftRight"; };
struct NameLeast { static constexpr auto name = "least"; };
struct NameGreatest { static constexpr auto name = "greatest"; };
using FunctionPlus = FunctionBinaryArithmetic<PlusImpl, NamePlus>;
using FunctionMinus = FunctionBinaryArithmetic<MinusImpl, NameMinus>;
using FunctionMultiply = FunctionBinaryArithmetic<MultiplyImpl, NameMultiply>;
using FunctionDivideFloating = FunctionBinaryArithmetic<DivideFloatingImpl, NameDivideFloating>;
using FunctionDivideIntegral = FunctionBinaryArithmetic<DivideIntegralImpl, NameDivideIntegral>;
using FunctionDivideIntegralOrZero = FunctionBinaryArithmetic<DivideIntegralOrZeroImpl, NameDivideIntegralOrZero>;
using FunctionModulo = FunctionBinaryArithmetic<ModuloImpl, NameModulo>;
using FunctionNegate = FunctionUnaryArithmetic<NegateImpl, NameNegate, true>;
using FunctionAbs = FunctionUnaryArithmetic<AbsImpl, NameAbs, false>;
using FunctionBitAnd = FunctionBinaryArithmetic<BitAndImpl, NameBitAnd>;
using FunctionBitOr = FunctionBinaryArithmetic<BitOrImpl, NameBitOr>;
using FunctionBitXor = FunctionBinaryArithmetic<BitXorImpl, NameBitXor>;
using FunctionBitNot = FunctionUnaryArithmetic<BitNotImpl, NameBitNot, true>;
using FunctionBitShiftLeft = FunctionBinaryArithmetic<BitShiftLeftImpl, NameBitShiftLeft>;
using FunctionBitShiftRight = FunctionBinaryArithmetic<BitShiftRightImpl, NameBitShiftRight>;
using FunctionLeast = FunctionBinaryArithmetic<LeastImpl, NameLeast>;
using FunctionGreatest = FunctionBinaryArithmetic<GreatestImpl, NameGreatest>;
/// Свойства монотонности для некоторых функций.
template <> struct FunctionUnaryArithmeticMonotonicity<NameNegate>
{
static bool has() { return true; }
static IFunction::Monotonicity get(const Field & left, const Field & right)
{
return { true, false };
}
};
template <> struct FunctionUnaryArithmeticMonotonicity<NameAbs>
{
static bool has() { return true; }
static IFunction::Monotonicity get(const Field & left, const Field & right)
{
Float64 left_float = left.isNull() ? -std::numeric_limits<Float64>::infinity() : applyVisitor(FieldVisitorConvertToNumber<Float64>(), left);
Float64 right_float = right.isNull() ? std::numeric_limits<Float64>::infinity() : applyVisitor(FieldVisitorConvertToNumber<Float64>(), right);
if ((left_float < 0 && right_float > 0) || (left_float > 0 && right_float < 0))
return {};
return { true, (left_float > 0) };
}
};
template <> struct FunctionUnaryArithmeticMonotonicity<NameBitNot>
{
static bool has() { return false; }
static IFunction::Monotonicity get(const Field & left, const Field & right)
{
return {};
}
};
/// Оптимизации для целочисленного деления на константу.
#if defined(__x86_64__)
#define LIBDIVIDE_USE_SSE2 1
#endif
#include <libdivide.h>
template <typename A, typename B>
struct DivideIntegralByConstantImpl
: BinaryOperationImplBase<A, B, DivideIntegralImpl<A, B>>
{
using ResultType = typename DivideIntegralImpl<A, B>::ResultType;
static void vector_constant(const PaddedPODArray<A> & a, B b, PaddedPODArray<ResultType> & c)
{
if (unlikely(b == 0))
throw Exception("Division by zero", ErrorCodes::ILLEGAL_DIVISION);
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wsign-compare"
if (unlikely(std::is_signed<B>::value && b == -1))
{
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = -c[i];
return;
}
#pragma GCC diagnostic pop
libdivide::divider<A> divider(b);
size_t size = a.size();
const A * a_pos = &a[0];
const A * a_end = a_pos + size;
ResultType * c_pos = &c[0];
#if defined(__x86_64__)
static constexpr size_t values_per_sse_register = 16 / sizeof(A);
const A * a_end_sse = a_pos + size / values_per_sse_register * values_per_sse_register;
while (a_pos < a_end_sse)
{
_mm_storeu_si128(reinterpret_cast<__m128i *>(c_pos),
_mm_loadu_si128(reinterpret_cast<const __m128i *>(a_pos)) / divider);
a_pos += values_per_sse_register;
c_pos += values_per_sse_register;
}
#endif
while (a_pos < a_end)
{
*c_pos = *a_pos / divider;
++a_pos;
++c_pos;
}
}
};
template <typename A, typename B>
struct ModuloByConstantImpl
: BinaryOperationImplBase<A, B, ModuloImpl<A, B>>
{
using ResultType = typename ModuloImpl<A, B>::ResultType;
static void vector_constant(const PaddedPODArray<A> & a, B b, PaddedPODArray<ResultType> & c)
{
if (unlikely(b == 0))
throw Exception("Division by zero", ErrorCodes::ILLEGAL_DIVISION);
#pragma GCC diagnostic push
#pragma GCC diagnostic ignored "-Wsign-compare"
if (unlikely((std::is_signed<B>::value && b == -1) || b == 1))
{
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = 0;
return;
}
#pragma GCC diagnostic pop
libdivide::divider<A> divider(b);
/// Тут не удалось сделать так, чтобы SSE вариант из libdivide давал преимущество.
size_t size = a.size();
for (size_t i = 0; i < size; ++i)
c[i] = a[i] - (a[i] / divider) * b; /// NOTE: возможно, не сохраняется семантика деления с остатком отрицательных чисел.
}
};
/** Прописаны специализации для деления чисел типа UInt64 и UInt32 на числа той же знаковости.
* Можно дополнить до всех возможных комбинаций, но потребуется больше кода.
*/
template <> struct BinaryOperationImpl<UInt64, UInt8, DivideIntegralImpl<UInt64, UInt8>> : DivideIntegralByConstantImpl<UInt64, UInt8> {};
template <> struct BinaryOperationImpl<UInt64, UInt16, DivideIntegralImpl<UInt64, UInt16>> : DivideIntegralByConstantImpl<UInt64, UInt16> {};
template <> struct BinaryOperationImpl<UInt64, UInt32, DivideIntegralImpl<UInt64, UInt32>> : DivideIntegralByConstantImpl<UInt64, UInt32> {};
template <> struct BinaryOperationImpl<UInt64, UInt64, DivideIntegralImpl<UInt64, UInt64>> : DivideIntegralByConstantImpl<UInt64, UInt64> {};
template <> struct BinaryOperationImpl<UInt32, UInt8, DivideIntegralImpl<UInt32, UInt8>> : DivideIntegralByConstantImpl<UInt32, UInt8> {};
template <> struct BinaryOperationImpl<UInt32, UInt16, DivideIntegralImpl<UInt32, UInt16>> : DivideIntegralByConstantImpl<UInt32, UInt16> {};
template <> struct BinaryOperationImpl<UInt32, UInt32, DivideIntegralImpl<UInt32, UInt32>> : DivideIntegralByConstantImpl<UInt32, UInt32> {};
template <> struct BinaryOperationImpl<UInt32, UInt64, DivideIntegralImpl<UInt32, UInt64>> : DivideIntegralByConstantImpl<UInt32, UInt64> {};
template <> struct BinaryOperationImpl<Int64, Int8, DivideIntegralImpl<Int64, Int8>> : DivideIntegralByConstantImpl<Int64, Int8> {};
template <> struct BinaryOperationImpl<Int64, Int16, DivideIntegralImpl<Int64, Int16>> : DivideIntegralByConstantImpl<Int64, Int16> {};
template <> struct BinaryOperationImpl<Int64, Int32, DivideIntegralImpl<Int64, Int32>> : DivideIntegralByConstantImpl<Int64, Int32> {};
template <> struct BinaryOperationImpl<Int64, Int64, DivideIntegralImpl<Int64, Int64>> : DivideIntegralByConstantImpl<Int64, Int64> {};
template <> struct BinaryOperationImpl<Int32, Int8, DivideIntegralImpl<Int32, Int8>> : DivideIntegralByConstantImpl<Int32, Int8> {};
template <> struct BinaryOperationImpl<Int32, Int16, DivideIntegralImpl<Int32, Int16>> : DivideIntegralByConstantImpl<Int32, Int16> {};
template <> struct BinaryOperationImpl<Int32, Int32, DivideIntegralImpl<Int32, Int32>> : DivideIntegralByConstantImpl<Int32, Int32> {};
template <> struct BinaryOperationImpl<Int32, Int64, DivideIntegralImpl<Int32, Int64>> : DivideIntegralByConstantImpl<Int32, Int64> {};
template <> struct BinaryOperationImpl<UInt64, UInt8, ModuloImpl<UInt64, UInt8>> : ModuloByConstantImpl<UInt64, UInt8> {};
template <> struct BinaryOperationImpl<UInt64, UInt16, ModuloImpl<UInt64, UInt16>> : ModuloByConstantImpl<UInt64, UInt16> {};
template <> struct BinaryOperationImpl<UInt64, UInt32, ModuloImpl<UInt64, UInt32>> : ModuloByConstantImpl<UInt64, UInt32> {};
template <> struct BinaryOperationImpl<UInt64, UInt64, ModuloImpl<UInt64, UInt64>> : ModuloByConstantImpl<UInt64, UInt64> {};
template <> struct BinaryOperationImpl<UInt32, UInt8, ModuloImpl<UInt32, UInt8>> : ModuloByConstantImpl<UInt32, UInt8> {};
template <> struct BinaryOperationImpl<UInt32, UInt16, ModuloImpl<UInt32, UInt16>> : ModuloByConstantImpl<UInt32, UInt16> {};
template <> struct BinaryOperationImpl<UInt32, UInt32, ModuloImpl<UInt32, UInt32>> : ModuloByConstantImpl<UInt32, UInt32> {};
template <> struct BinaryOperationImpl<UInt32, UInt64, ModuloImpl<UInt32, UInt64>> : ModuloByConstantImpl<UInt32, UInt64> {};
template <> struct BinaryOperationImpl<Int64, Int8, ModuloImpl<Int64, Int8>> : ModuloByConstantImpl<Int64, Int8> {};
template <> struct BinaryOperationImpl<Int64, Int16, ModuloImpl<Int64, Int16>> : ModuloByConstantImpl<Int64, Int16> {};
template <> struct BinaryOperationImpl<Int64, Int32, ModuloImpl<Int64, Int32>> : ModuloByConstantImpl<Int64, Int32> {};
template <> struct BinaryOperationImpl<Int64, Int64, ModuloImpl<Int64, Int64>> : ModuloByConstantImpl<Int64, Int64> {};
template <> struct BinaryOperationImpl<Int32, Int8, ModuloImpl<Int32, Int8>> : ModuloByConstantImpl<Int32, Int8> {};
template <> struct BinaryOperationImpl<Int32, Int16, ModuloImpl<Int32, Int16>> : ModuloByConstantImpl<Int32, Int16> {};
template <> struct BinaryOperationImpl<Int32, Int32, ModuloImpl<Int32, Int32>> : ModuloByConstantImpl<Int32, Int32> {};
template <> struct BinaryOperationImpl<Int32, Int64, ModuloImpl<Int32, Int64>> : ModuloByConstantImpl<Int32, Int64> {};
}