thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-12-04 13:32:13 +00:00
Code Issues Packages Projects Releases Wiki Activity
7c20aa2c62
ClickHouse/src/Functions/FunctionBinaryArithmetic.h

1251 lines
55 KiB
C++
Raw Blame History

#pragma once
// Include this first, because `#define _asan_poison_address` from
// llvm/Support/Compiler.h conflicts with its forward declaration in
// sanitizer/asan_interface.h
#include <Common/Arena.h>
#include <DataTypes/DataTypesNumber.h>
#include <DataTypes/DataTypesDecimal.h>
#include <DataTypes/DataTypeDate.h>
#include <DataTypes/DataTypeDateTime.h>
#include <DataTypes/DataTypeDateTime64.h>
#include <DataTypes/DataTypeInterval.h>
#include <DataTypes/DataTypeAggregateFunction.h>
#include <DataTypes/DataTypeFixedString.h>
#include <DataTypes/Native.h>
#include <DataTypes/NumberTraits.h>
#include <Columns/ColumnVector.h>
#include <Columns/ColumnDecimal.h>
#include <Columns/ColumnFixedString.h>
#include <Columns/ColumnConst.h>
#include <Columns/ColumnAggregateFunction.h>
#include "IFunctionImpl.h"
#include "FunctionHelpers.h"
#include "DivisionUtils.h"
#include "castTypeToEither.h"
#include "FunctionFactory.h"
#include <Common/typeid_cast.h>
#include <Common/assert_cast.h>
#if !defined(ARCADIA_BUILD)
# include <Common/config.h>
#endif
#if USE_EMBEDDED_COMPILER
# pragma GCC diagnostic push
# pragma GCC diagnostic ignored "-Wunused-parameter"
# include <llvm/IR/IRBuilder.h>
# pragma GCC diagnostic pop
#endif
namespace DB
{
namespace ErrorCodes
{
extern const int ILLEGAL_COLUMN;
extern const int ILLEGAL_TYPE_OF_ARGUMENT;
extern const int LOGICAL_ERROR;
extern const int DECIMAL_OVERFLOW;
extern const int CANNOT_ADD_DIFFERENT_AGGREGATE_STATES;
}
/** Arithmetic operations: +, -, *, /, %,
* intDiv (integer division)
* Bitwise operations: |, &, ^, ~.
* Etc.
*/
template <typename A, typename B, typename Op, typename ResultType_ = typename Op::ResultType>
struct BinaryOperationImplBase
{
using ResultType = ResultType_;
static const constexpr bool allow_fixed_string = false;
static void NO_INLINE vectorVector(const A * __restrict a, const B * __restrict b, ResultType * __restrict c, size_t size)
{
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a[i], b[i]);
}
static void NO_INLINE vectorConstant(const A * __restrict a, B b, ResultType * __restrict c, size_t size)
{
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a[i], b);
}
static void NO_INLINE constantVector(A a, const B * __restrict b, ResultType * __restrict c, size_t size)
{
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<ResultType>(a, b[i]);
}
static ResultType constantConstant(A a, B b)
{
return Op::template apply<ResultType>(a, b);
}
};
template <typename Op>
struct FixedStringOperationImpl
{
static void NO_INLINE vectorVector(const UInt8 * __restrict a, const UInt8 * __restrict b, UInt8 * __restrict c, size_t size)
{
for (size_t i = 0; i < size; ++i)
c[i] = Op::template apply<UInt8>(a[i], b[i]);
}
template <bool inverted>
static void NO_INLINE vector_constant_impl(const UInt8 * __restrict a, const UInt8 * __restrict b, UInt8 * __restrict c, size_t size, size_t N)
{
/// These complications are needed to avoid integer division in inner loop.
/// Create a pattern of repeated values of b with at least 16 bytes,
/// so we can read 16 bytes of this repeated pattern starting from any offset inside b.
///
/// Example:
///
/// N = 6
/// ------
/// [abcdefabcdefabcdefabc]
/// ^^^^^^^^^^^^^^^^
/// 16 bytes starting from the last offset inside b.
const size_t b_repeated_size = N + 15;
UInt8 b_repeated[b_repeated_size];
for (size_t i = 0; i < b_repeated_size; ++i)
b_repeated[i] = b[i % N];
size_t b_offset = 0;
size_t b_increment = 16 % N;
/// Example:
///
/// At first iteration we copy 16 bytes at offset 0 from b_repeated:
/// [abcdefabcdefabcdefabc]
/// ^^^^^^^^^^^^^^^^
/// At second iteration we copy 16 bytes at offset 4 = 16 % 6 from b_repeated:
/// [abcdefabcdefabcdefabc]
/// ^^^^^^^^^^^^^^^^
/// At third iteration we copy 16 bytes at offset 2 = (16 * 2) % 6 from b_repeated:
/// [abcdefabcdefabcdefabc]
/// ^^^^^^^^^^^^^^^^
/// PaddedPODArray allows overflow for 15 bytes.
for (size_t i = 0; i < size; i += 16)
{
/// This loop is formed in a way to be vectorized into two SIMD mov.
for (size_t j = 0; j < 16; ++j)
c[i + j] = inverted
? Op::template apply<UInt8>(a[i + j], b_repeated[b_offset + j])
: Op::template apply<UInt8>(b_repeated[b_offset + j], a[i + j]);
b_offset += b_increment;
if (b_offset >= N) /// This condition is easily predictable.
b_offset -= N;
}
}
static void vectorConstant(const UInt8 * __restrict a, const UInt8 * __restrict b, UInt8 * __restrict c, size_t size, size_t N)
{
vector_constant_impl<false>(a, b, c, size, N);
}
static void constantVector(const UInt8 * __restrict a, const UInt8 * __restrict b, UInt8 * __restrict c, size_t size, size_t N)
{
vector_constant_impl<true>(b, a, c, size, N);
}
};
template <typename A, typename B, typename Op, typename ResultType = typename Op::ResultType>
struct BinaryOperationImpl : BinaryOperationImplBase<A, B, Op, ResultType>
{
};
template <typename, typename> struct PlusImpl;
template <typename, typename> struct MinusImpl;
template <typename, typename> struct MultiplyImpl;
template <typename, typename> struct DivideFloatingImpl;
template <typename, typename> struct DivideIntegralImpl;
template <typename, typename> struct DivideIntegralOrZeroImpl;
template <typename, typename> struct LeastBaseImpl;
template <typename, typename> struct GreatestBaseImpl;
template <typename, typename> struct ModuloImpl;
/// Binary operations for Decimals need scale args
/// +|- scale one of args (which scale factor is not 1). ScaleR = oneof(Scale1, Scale2);
/// * no agrs scale. ScaleR = Scale1 + Scale2;
/// / first arg scale. ScaleR = Scale1 (scale_a = DecimalType<B>::getScale()).
template <typename A, typename B, template <typename, typename> typename Operation, typename ResultType_, bool _check_overflow = true>
struct DecimalBinaryOperation
{
static constexpr bool is_plus_minus = std::is_same_v<Operation<Int32, Int32>, PlusImpl<Int32, Int32>> ||
std::is_same_v<Operation<Int32, Int32>, MinusImpl<Int32, Int32>>;
static constexpr bool is_multiply = std::is_same_v<Operation<Int32, Int32>, MultiplyImpl<Int32, Int32>>;
static constexpr bool is_float_division = std::is_same_v<Operation<Int32, Int32>, DivideFloatingImpl<Int32, Int32>>;
static constexpr bool is_int_division = std::is_same_v<Operation<Int32, Int32>, DivideIntegralImpl<Int32, Int32>> ||
std::is_same_v<Operation<Int32, Int32>, DivideIntegralOrZeroImpl<Int32, Int32>>;
static constexpr bool is_division = is_float_division || is_int_division;
static constexpr bool is_compare = std::is_same_v<Operation<Int32, Int32>, LeastBaseImpl<Int32, Int32>> ||
std::is_same_v<Operation<Int32, Int32>, GreatestBaseImpl<Int32, Int32>>;
static constexpr bool is_plus_minus_compare = is_plus_minus || is_compare;
static constexpr bool can_overflow = is_plus_minus || is_multiply;
using ResultType = ResultType_;
using NativeResultType = typename NativeType<ResultType>::Type;
using Op = std::conditional_t<is_float_division,
DivideIntegralImpl<NativeResultType, NativeResultType>, /// substitute divide by intDiv (throw on division by zero)
Operation<NativeResultType, NativeResultType>>;
using ColVecA = std::conditional_t<IsDecimalNumber<A>, ColumnDecimal<A>, ColumnVector<A>>;
using ColVecB = std::conditional_t<IsDecimalNumber<B>, ColumnDecimal<B>, ColumnVector<B>>;
using ArrayA = typename ColVecA::Container;
using ArrayB = typename ColVecB::Container;
using ArrayC = typename ColumnDecimal<ResultType>::Container;
using SelfNoOverflow = DecimalBinaryOperation<A, B, Operation, ResultType_, false>;
static void vectorVector(const ArrayA & a, const ArrayB & b, ArrayC & c,
NativeResultType scale_a, NativeResultType scale_b, bool check_overflow)
{
if (check_overflow)
vectorVector(a, b, c, scale_a, scale_b);
else
SelfNoOverflow::vectorVector(a, b, c, scale_a, scale_b);
}
static void vectorConstant(const ArrayA & a, B b, ArrayC & c,
NativeResultType scale_a, NativeResultType scale_b, bool check_overflow)
{
if (check_overflow)
vectorConstant(a, b, c, scale_a, scale_b);
else
SelfNoOverflow::vectorConstant(a, b, c, scale_a, scale_b);
}
static void constantVector(A a, const ArrayB & b, ArrayC & c,
NativeResultType scale_a, NativeResultType scale_b, bool check_overflow)
{
if (check_overflow)
constantVector(a, b, c, scale_a, scale_b);
else
SelfNoOverflow::constantVector(a, b, c, scale_a, scale_b);
}
static ResultType constantConstant(A a, B b, NativeResultType scale_a, NativeResultType scale_b, bool check_overflow)
{
if (check_overflow)
return constantConstant(a, b, scale_a, scale_b);
else
return SelfNoOverflow::constantConstant(a, b, scale_a, scale_b);
}
static void NO_INLINE vectorVector(const ArrayA & a, const ArrayB & b, ArrayC & c,
NativeResultType scale_a [[maybe_unused]], NativeResultType scale_b [[maybe_unused]])
{
size_t size = a.size();
if constexpr (is_plus_minus_compare)
{
if (scale_a != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<true>(a[i], b[i], scale_a);
return;
}
else if (scale_b != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<false>(a[i], b[i], scale_b);
return;
}
}
else if constexpr (is_division && IsDecimalNumber<B>)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaledDiv(a[i], b[i], scale_a);
return;
}
/// default: use it if no return before
for (size_t i = 0; i < size; ++i)
c[i] = apply(a[i], b[i]);
}
static void NO_INLINE vectorConstant(const ArrayA & a, B b, ArrayC & c,
NativeResultType scale_a [[maybe_unused]], NativeResultType scale_b [[maybe_unused]])
{
size_t size = a.size();
if constexpr (is_plus_minus_compare)
{
if (scale_a != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<true>(a[i], b, scale_a);
return;
}
else if (scale_b != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<false>(a[i], b, scale_b);
return;
}
}
else if constexpr (is_division && IsDecimalNumber<B>)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaledDiv(a[i], b, scale_a);
return;
}
/// default: use it if no return before
for (size_t i = 0; i < size; ++i)
c[i] = apply(a[i], b);
}
static void NO_INLINE constantVector(A a, const ArrayB & b, ArrayC & c,
NativeResultType scale_a [[maybe_unused]], NativeResultType scale_b [[maybe_unused]])
{
size_t size = b.size();
if constexpr (is_plus_minus_compare)
{
if (scale_a != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<true>(a, b[i], scale_a);
return;
}
else if (scale_b != 1)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaled<false>(a, b[i], scale_b);
return;
}
}
else if constexpr (is_division && IsDecimalNumber<B>)
{
for (size_t i = 0; i < size; ++i)
c[i] = applyScaledDiv(a, b[i], scale_a);
return;
}
/// default: use it if no return before
for (size_t i = 0; i < size; ++i)
c[i] = apply(a, b[i]);
}
static ResultType constantConstant(A a, B b, NativeResultType scale_a [[maybe_unused]], NativeResultType scale_b [[maybe_unused]])
{
if constexpr (is_plus_minus_compare)
{
if (scale_a != 1)
return applyScaled<true>(a, b, scale_a);
else if (scale_b != 1)
return applyScaled<false>(a, b, scale_b);
}
else if constexpr (is_division && IsDecimalNumber<B>)
return applyScaledDiv(a, b, scale_a);
return apply(a, b);
}
private:
template <typename T, typename U>
static NativeResultType apply(const T & a, const U & b)
{
if constexpr (OverBigInt<T> || OverBigInt<U>)
{
if constexpr (IsDecimalNumber<T>)
return apply(a.value, b);
else if constexpr (IsDecimalNumber<U>)
return apply(a, b.value);
else
return applyNative(bigint_cast<NativeResultType>(a), bigint_cast<NativeResultType>(b));
}
else
return applyNative(a, b);
}
template <bool scale_left, typename T, typename U>
static NativeResultType applyScaled(const T & a, const U & b, NativeResultType scale)
{
if constexpr (OverBigInt<T> || OverBigInt<U>)
{
if constexpr (IsDecimalNumber<T>)
return applyScaled<scale_left>(a.value, b, scale);
else if constexpr (IsDecimalNumber<U>)
return applyScaled<scale_left>(a, b.value, scale);
else
return applyNativeScaled<scale_left>(bigint_cast<NativeResultType>(a), bigint_cast<NativeResultType>(b), scale);
}
else
return applyNativeScaled<scale_left>(a, b, scale);
}
template <typename T, typename U>
static NativeResultType applyScaledDiv(const T & a, const U & b, NativeResultType scale)
{
if constexpr (OverBigInt<T> || OverBigInt<U>)
{
if constexpr (IsDecimalNumber<T>)
return applyScaledDiv(a.value, b, scale);
else if constexpr (IsDecimalNumber<U>)
return applyScaledDiv(a, b.value, scale);
else
return applyNativeScaledDiv(bigint_cast<NativeResultType>(a), bigint_cast<NativeResultType>(b), scale);
}
else
return applyNativeScaledDiv(a, b, scale);
}
/// there's implicit type convertion here
static NativeResultType applyNative(NativeResultType a, NativeResultType b)
{
if constexpr (can_overflow && _check_overflow)
{
NativeResultType res;
if (Op::template apply<NativeResultType>(a, b, res))
throw Exception("Decimal math overflow", ErrorCodes::DECIMAL_OVERFLOW);
return res;
}
else
return Op::template apply<NativeResultType>(a, b);
}
template <bool scale_left>
static NO_SANITIZE_UNDEFINED NativeResultType applyNativeScaled(NativeResultType a, NativeResultType b, NativeResultType scale)
{
if constexpr (is_plus_minus_compare)
{
NativeResultType res;
if constexpr (_check_overflow)
{
bool overflow = false;
if constexpr (scale_left)
overflow |= common::mulOverflow(a, scale, a);
else
overflow |= common::mulOverflow(b, scale, b);
if constexpr (can_overflow)
overflow |= Op::template apply<NativeResultType>(a, b, res);
else
res = Op::template apply<NativeResultType>(a, b);
if (overflow)
throw Exception("Decimal math overflow", ErrorCodes::DECIMAL_OVERFLOW);
}
else
{
if constexpr (scale_left)
a *= scale;
else
b *= scale;
res = Op::template apply<NativeResultType>(a, b);
}
return res;
}
}
static NO_SANITIZE_UNDEFINED NativeResultType applyNativeScaledDiv(NativeResultType a, NativeResultType b, NativeResultType scale)
{
if constexpr (is_division)
{
if constexpr (_check_overflow)
{
bool overflow = false;
if constexpr (!IsDecimalNumber<A>)
overflow |= common::mulOverflow(scale, scale, scale);
overflow |= common::mulOverflow(a, scale, a);
if (overflow)
throw Exception("Decimal math overflow", ErrorCodes::DECIMAL_OVERFLOW);
}
else
{
if constexpr (!IsDecimalNumber<A>)
scale *= scale;
a *= scale;
}
return Op::template apply<NativeResultType>(a, b);
}
}
};
/// Used to indicate undefined operation
struct InvalidType;
template <bool V, typename T> struct Case : std::bool_constant<V> { using type = T; };
/// Switch<Case<C0, T0>, ...> -- select the first Ti for which Ci is true; InvalidType if none.
template <typename... Ts> using Switch = typename std::disjunction<Ts..., Case<true, InvalidType>>::type;
template <typename DataType> constexpr bool IsIntegral = false;
template <> inline constexpr bool IsIntegral<DataTypeUInt8> = true;
template <> inline constexpr bool IsIntegral<DataTypeUInt16> = true;
template <> inline constexpr bool IsIntegral<DataTypeUInt32> = true;
template <> inline constexpr bool IsIntegral<DataTypeUInt64> = true;
template <> inline constexpr bool IsIntegral<DataTypeInt8> = true;
template <> inline constexpr bool IsIntegral<DataTypeInt16> = true;
template <> inline constexpr bool IsIntegral<DataTypeInt32> = true;
template <> inline constexpr bool IsIntegral<DataTypeInt64> = true;
template <typename DataType> constexpr bool IsExtended = false;
template <> inline constexpr bool IsExtended<DataTypeUInt256> = true;
template <> inline constexpr bool IsExtended<DataTypeInt128> = true;
template <> inline constexpr bool IsExtended<DataTypeInt256> = true;
template <typename DataType> constexpr bool IsIntegralOrExtended = IsIntegral<DataType> || IsExtended<DataType>;
template <typename DataType> constexpr bool IsIntegralOrExtendedOrDecimal = IsIntegralOrExtended<DataType> || IsDataTypeDecimal<DataType>;
template <typename DataType> constexpr bool IsFloatingPoint = false;
template <> inline constexpr bool IsFloatingPoint<DataTypeFloat32> = true;
template <> inline constexpr bool IsFloatingPoint<DataTypeFloat64> = true;
template <typename DataType> constexpr bool IsDateOrDateTime = false;
template <> inline constexpr bool IsDateOrDateTime<DataTypeDate> = true;
template <> inline constexpr bool IsDateOrDateTime<DataTypeDateTime> = true;
template <typename T0, typename T1> constexpr bool UseLeftDecimal = false;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal256>, DataTypeDecimal<Decimal128>> = true;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal256>, DataTypeDecimal<Decimal64>> = true;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal256>, DataTypeDecimal<Decimal32>> = true;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal128>, DataTypeDecimal<Decimal32>> = true;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal128>, DataTypeDecimal<Decimal64>> = true;
template <> inline constexpr bool UseLeftDecimal<DataTypeDecimal<Decimal64>, DataTypeDecimal<Decimal32>> = true;
template <typename T> using DataTypeFromFieldType = std::conditional_t<std::is_same_v<T, NumberTraits::Error>, InvalidType, DataTypeNumber<T>>;
template <template <typename, typename> class Operation, typename LeftDataType, typename RightDataType>
struct BinaryOperationTraits
{
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
private: /// it's not correct for Decimal
using Op = Operation<T0, T1>;
public:
static constexpr bool allow_decimal =
std::is_same_v<Operation<T0, T0>, PlusImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, MinusImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, MultiplyImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, DivideFloatingImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, DivideIntegralImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, DivideIntegralOrZeroImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, LeastBaseImpl<T0, T0>> ||
std::is_same_v<Operation<T0, T0>, GreatestBaseImpl<T0, T0>>;
/// Appropriate result type for binary operator on numeric types. "Date" can also mean
/// DateTime, but if both operands are Dates, their type must be the same (e.g. Date - DateTime is invalid).
using ResultDataType = Switch<
/// Decimal cases
Case<!allow_decimal && (IsDataTypeDecimal<LeftDataType> || IsDataTypeDecimal<RightDataType>), InvalidType>,
Case<IsDataTypeDecimal<LeftDataType> && IsDataTypeDecimal<RightDataType> && UseLeftDecimal<LeftDataType, RightDataType>, LeftDataType>,
Case<IsDataTypeDecimal<LeftDataType> && IsDataTypeDecimal<RightDataType>, RightDataType>,
Case<IsDataTypeDecimal<LeftDataType> && IsIntegralOrExtended<RightDataType>, LeftDataType>,
Case<IsDataTypeDecimal<RightDataType> && IsIntegralOrExtended<LeftDataType>, RightDataType>,
/// Decimal <op> Real is not supported (traditional DBs convert Decimal <op> Real to Real)
Case<IsDataTypeDecimal<LeftDataType> && !IsIntegralOrExtendedOrDecimal<RightDataType>, InvalidType>,
Case<IsDataTypeDecimal<RightDataType> && !IsIntegralOrExtendedOrDecimal<LeftDataType>, InvalidType>,
/// number <op> number -> see corresponding impl
Case<!IsDateOrDateTime<LeftDataType> && !IsDateOrDateTime<RightDataType>,
DataTypeFromFieldType<typename Op::ResultType>>,
/// Date + Integral -> Date
/// Integral + Date -> Date
Case<std::is_same_v<Op, PlusImpl<T0, T1>>, Switch<
Case<IsIntegral<RightDataType>, LeftDataType>,
Case<IsIntegral<LeftDataType>, RightDataType>>>,
/// Date - Date -> Int32
/// Date - Integral -> Date
Case<std::is_same_v<Op, MinusImpl<T0, T1>>, Switch<
Case<std::is_same_v<LeftDataType, RightDataType>, DataTypeInt32>,
Case<IsDateOrDateTime<LeftDataType> && IsIntegral<RightDataType>, LeftDataType>>>,
/// least(Date, Date) -> Date
/// greatest(Date, Date) -> Date
Case<std::is_same_v<LeftDataType, RightDataType> && (std::is_same_v<Op, LeastBaseImpl<T0, T1>> || std::is_same_v<Op, GreatestBaseImpl<T0, T1>>),
LeftDataType>,
/// Date % Int32 -> Int32
/// Date % Float -> Float64
Case<std::is_same_v<Op, ModuloImpl<T0, T1>>, Switch<
Case<IsDateOrDateTime<LeftDataType> && IsIntegral<RightDataType>, RightDataType>,
Case<IsDateOrDateTime<LeftDataType> && IsFloatingPoint<RightDataType>, DataTypeFloat64>>>>;
};
template <template <typename, typename> class Op, typename Name, bool valid_on_default_arguments = true>
class FunctionBinaryArithmetic : public IFunction
{
const Context & context;
bool check_decimal_overflow = true;
template <typename F>
static bool castType(const IDataType * type, F && f)
{
return castTypeToEither<
DataTypeUInt8,
DataTypeUInt16,
DataTypeUInt32,
DataTypeUInt64,
DataTypeUInt256,
DataTypeInt8,
DataTypeInt16,
DataTypeInt32,
DataTypeInt64,
DataTypeInt128,
DataTypeInt256,
DataTypeFloat32,
DataTypeFloat64,
DataTypeDate,
DataTypeDateTime,
DataTypeDecimal<Decimal32>,
DataTypeDecimal<Decimal64>,
DataTypeDecimal<Decimal128>,
DataTypeDecimal<Decimal256>,
DataTypeFixedString
>(type, std::forward<F>(f));
}
template <typename F>
static bool castBothTypes(const IDataType * left, const IDataType * right, F && f)
{
return castType(left, [&](const auto & left_) { return castType(right, [&](const auto & right_) { return f(left_, right_); }); });
}
FunctionOverloadResolverPtr getFunctionForIntervalArithmetic(const DataTypePtr & type0, const DataTypePtr & type1) const
{
bool first_is_date_or_datetime = isDateOrDateTime(type0);
bool second_is_date_or_datetime = isDateOrDateTime(type1);
/// Exactly one argument must be Date or DateTime
if (first_is_date_or_datetime == second_is_date_or_datetime)
return {};
/// Special case when the function is plus or minus, one of arguments is Date/DateTime and another is Interval.
/// We construct another function (example: addMonths) and call it.
static constexpr bool function_is_plus = std::is_same_v<Op<UInt8, UInt8>, PlusImpl<UInt8, UInt8>>;
static constexpr bool function_is_minus = std::is_same_v<Op<UInt8, UInt8>, MinusImpl<UInt8, UInt8>>;
if (!function_is_plus && !function_is_minus)
return {};
const DataTypePtr & type_time = first_is_date_or_datetime ? type0 : type1;
const DataTypePtr & type_interval = first_is_date_or_datetime ? type1 : type0;
bool interval_is_number = isNumber(type_interval);
const DataTypeInterval * interval_data_type = nullptr;
if (!interval_is_number)
{
interval_data_type = checkAndGetDataType<DataTypeInterval>(type_interval.get());
if (!interval_data_type)
return {};
}
if (second_is_date_or_datetime && function_is_minus)
throw Exception("Wrong order of arguments for function " + getName() + ": argument of type Interval cannot be first.",
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
std::string function_name;
if (interval_data_type)
{
function_name = String(function_is_plus ? "add" : "subtract") + interval_data_type->getKind().toString() + 's';
}
else
{
if (isDate(type_time))
function_name = function_is_plus ? "addDays" : "subtractDays";
else
function_name = function_is_plus ? "addSeconds" : "subtractSeconds";
}
return FunctionFactory::instance().get(function_name, context);
}
bool isAggregateMultiply(const DataTypePtr & type0, const DataTypePtr & type1) const
{
if constexpr (!std::is_same_v<Op<UInt8, UInt8>, MultiplyImpl<UInt8, UInt8>>)
return false;
WhichDataType which0(type0);
WhichDataType which1(type1);
return (which0.isAggregateFunction() && which1.isNativeUInt())
|| (which0.isNativeUInt() && which1.isAggregateFunction());
}
bool isAggregateAddition(const DataTypePtr & type0, const DataTypePtr & type1) const
{
if constexpr (!std::is_same_v<Op<UInt8, UInt8>, PlusImpl<UInt8, UInt8>>)
return false;
WhichDataType which0(type0);
WhichDataType which1(type1);
return which0.isAggregateFunction() && which1.isAggregateFunction();
}
/// Multiply aggregation state by integer constant: by merging it with itself specified number of times.
void executeAggregateMultiply(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) const
{
ColumnNumbers new_arguments = arguments;
if (WhichDataType(block.getByPosition(new_arguments[1]).type).isAggregateFunction())
std::swap(new_arguments[0], new_arguments[1]);
if (!isColumnConst(*block.getByPosition(new_arguments[1]).column))
throw Exception{"Illegal column " + block.getByPosition(new_arguments[1]).column->getName()
+ " of argument of aggregation state multiply. Should be integer constant", ErrorCodes::ILLEGAL_COLUMN};
const IColumn & agg_state_column = *block.getByPosition(new_arguments[0]).column;
bool agg_state_is_const = isColumnConst(agg_state_column);
const ColumnAggregateFunction & column = typeid_cast<const ColumnAggregateFunction &>(
agg_state_is_const ? assert_cast<const ColumnConst &>(agg_state_column).getDataColumn() : agg_state_column);
AggregateFunctionPtr function = column.getAggregateFunction();
size_t size = agg_state_is_const ? 1 : input_rows_count;
auto column_to = ColumnAggregateFunction::create(function);
column_to->reserve(size);
auto column_from = ColumnAggregateFunction::create(function);
column_from->reserve(size);
for (size_t i = 0; i < size; ++i)
{
column_to->insertDefault();
column_from->insertFrom(column.getData()[i]);
}
auto & vec_to = column_to->getData();
auto & vec_from = column_from->getData();
UInt64 m = typeid_cast<const ColumnConst *>(block.getByPosition(new_arguments[1]).column.get())->getValue<UInt64>();
// Since we merge the function states by ourselves, we have to have an
// Arena for this. Pass it to the resulting column so that the arena
// has a proper lifetime.
auto arena = std::make_shared<Arena>();
column_to->addArena(arena);
/// We use exponentiation by squaring algorithm to perform multiplying aggregate states by N in O(log(N)) operations
/// https://en.wikipedia.org/wiki/Exponentiation_by_squaring
while (m)
{
if (m % 2)
{
for (size_t i = 0; i < size; ++i)
function->merge(vec_to[i], vec_from[i], arena.get());
--m;
}
else
{
for (size_t i = 0; i < size; ++i)
function->merge(vec_from[i], vec_from[i], arena.get());
m /= 2;
}
}
if (agg_state_is_const)
block.getByPosition(result).column = ColumnConst::create(std::move(column_to), input_rows_count);
else
block.getByPosition(result).column = std::move(column_to);
}
/// Merge two aggregation states together.
void executeAggregateAddition(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) const
{
const IColumn & lhs_column = *block.getByPosition(arguments[0]).column;
const IColumn & rhs_column = *block.getByPosition(arguments[1]).column;
bool lhs_is_const = isColumnConst(lhs_column);
bool rhs_is_const = isColumnConst(rhs_column);
const ColumnAggregateFunction & lhs = typeid_cast<const ColumnAggregateFunction &>(
lhs_is_const ? assert_cast<const ColumnConst &>(lhs_column).getDataColumn() : lhs_column);
const ColumnAggregateFunction & rhs = typeid_cast<const ColumnAggregateFunction &>(
rhs_is_const ? assert_cast<const ColumnConst &>(rhs_column).getDataColumn() : rhs_column);
AggregateFunctionPtr function = lhs.getAggregateFunction();
size_t size = (lhs_is_const && rhs_is_const) ? 1 : input_rows_count;
auto column_to = ColumnAggregateFunction::create(function);
column_to->reserve(size);
for (size_t i = 0; i < size; ++i)
{
column_to->insertFrom(lhs.getData()[lhs_is_const ? 0 : i]);
column_to->insertMergeFrom(rhs.getData()[rhs_is_const ? 0 : i]);
}
if (lhs_is_const && rhs_is_const)
block.getByPosition(result).column = ColumnConst::create(std::move(column_to), input_rows_count);
else
block.getByPosition(result).column = std::move(column_to);
}
void executeDateTimeIntervalPlusMinus(Block & block, const ColumnNumbers & arguments,
size_t result, size_t input_rows_count, const FunctionOverloadResolverPtr & function_builder) const
{
ColumnNumbers new_arguments = arguments;
/// Interval argument must be second.
if (WhichDataType(block.getByPosition(arguments[1]).type).isDateOrDateTime())
std::swap(new_arguments[0], new_arguments[1]);
/// Change interval argument type to its representation
Block new_block = block;
new_block.getByPosition(new_arguments[1]).type = std::make_shared<DataTypeNumber<DataTypeInterval::FieldType>>();
ColumnsWithTypeAndName new_arguments_with_type_and_name =
{new_block.getByPosition(new_arguments[0]), new_block.getByPosition(new_arguments[1])};
auto function = function_builder->build(new_arguments_with_type_and_name);
function->execute(new_block, new_arguments, result, input_rows_count);
block.getByPosition(result).column = new_block.getByPosition(result).column;
}
public:
static constexpr auto name = Name::name;
static FunctionPtr create(const Context & context) { return std::make_shared<FunctionBinaryArithmetic>(context); }
FunctionBinaryArithmetic(const Context & context_)
: context(context_),
check_decimal_overflow(decimalCheckArithmeticOverflow(context))
{}
String getName() const override
{
return name;
}
size_t getNumberOfArguments() const override { return 2; }
DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
{
/// Special case when multiply aggregate function state
if (isAggregateMultiply(arguments[0], arguments[1]))
{
if (WhichDataType(arguments[0]).isAggregateFunction())
return arguments[0];
return arguments[1];
}
/// Special case - addition of two aggregate functions states
if (isAggregateAddition(arguments[0], arguments[1]))
{
if (!arguments[0]->equals(*arguments[1]))
throw Exception("Cannot add aggregate states of different functions: "
+ arguments[0]->getName() + " and " + arguments[1]->getName(), ErrorCodes::CANNOT_ADD_DIFFERENT_AGGREGATE_STATES);
return arguments[0];
}
/// Special case when the function is plus or minus, one of arguments is Date/DateTime and another is Interval.
if (auto function_builder = getFunctionForIntervalArithmetic(arguments[0], arguments[1]))
{
ColumnsWithTypeAndName new_arguments(2);
for (size_t i = 0; i < 2; ++i)
new_arguments[i].type = arguments[i];
/// Interval argument must be second.
if (WhichDataType(new_arguments[1].type).isDateOrDateTime())
std::swap(new_arguments[0], new_arguments[1]);
/// Change interval argument to its representation
new_arguments[1].type = std::make_shared<DataTypeNumber<DataTypeInterval::FieldType>>();
auto function = function_builder->build(new_arguments);
return function->getReturnType();
}
DataTypePtr type_res;
bool valid = castBothTypes(arguments[0].get(), arguments[1].get(), [&](const auto & left, const auto & right)
{
using LeftDataType = std::decay_t<decltype(left)>;
using RightDataType = std::decay_t<decltype(right)>;
if constexpr (std::is_same_v<DataTypeFixedString, LeftDataType> || std::is_same_v<DataTypeFixedString, RightDataType>)
{
if constexpr (!Op<DataTypeFixedString, DataTypeFixedString>::allow_fixed_string)
return false;
else if constexpr (std::is_same_v<LeftDataType, RightDataType>)
{
if (left.getN() == right.getN())
{
type_res = std::make_shared<LeftDataType>(left.getN());
return true;
}
}
}
else
{
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
if constexpr (!std::is_same_v<ResultDataType, InvalidType>)
{
if constexpr (IsDataTypeDecimal<LeftDataType> && IsDataTypeDecimal<RightDataType>)
{
constexpr bool is_multiply = std::is_same_v<Op<UInt8, UInt8>, MultiplyImpl<UInt8, UInt8>>;
constexpr bool is_division = std::is_same_v<Op<UInt8, UInt8>, DivideFloatingImpl<UInt8, UInt8>> ||
std::is_same_v<Op<UInt8, UInt8>, DivideIntegralImpl<UInt8, UInt8>> ||
std::is_same_v<Op<UInt8, UInt8>, DivideIntegralOrZeroImpl<UInt8, UInt8>>;
ResultDataType result_type = decimalResultType(left, right, is_multiply, is_division);
type_res = std::make_shared<ResultDataType>(result_type.getPrecision(), result_type.getScale());
}
else if constexpr (IsDataTypeDecimal<LeftDataType>)
type_res = std::make_shared<LeftDataType>(left.getPrecision(), left.getScale());
else if constexpr (IsDataTypeDecimal<RightDataType>)
type_res = std::make_shared<RightDataType>(right.getPrecision(), right.getScale());
else if constexpr (std::is_same_v<ResultDataType, DataTypeDateTime>)
{
// Special case for DateTime: binary OPS should reuse timezone
// of DateTime argument as timezeone of result type.
// NOTE: binary plus/minus are not allowed on DateTime64, and we are not handling it here.
const TimezoneMixin * tz = nullptr;
if constexpr (std::is_same_v<RightDataType, DataTypeDateTime>)
tz = &right;
if constexpr (std::is_same_v<LeftDataType, DataTypeDateTime>)
tz = &left;
type_res = std::make_shared<ResultDataType>(*tz);
}
else
type_res = std::make_shared<ResultDataType>();
return true;
}
}
return false;
});
if (!valid)
throw Exception("Illegal types " + arguments[0]->getName() + " and " + arguments[1]->getName() + " of arguments of function " + getName(),
ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT);
return type_res;
}
bool executeFixedString(Block & block, const ColumnNumbers & arguments, size_t result) const
{
using OpImpl = FixedStringOperationImpl<Op<UInt8, UInt8>>;
auto col_left_raw = block.getByPosition(arguments[0]).column.get();
auto col_right_raw = block.getByPosition(arguments[1]).column.get();
if (auto col_left_const = checkAndGetColumnConst<ColumnFixedString>(col_left_raw))
{
if (auto col_right_const = checkAndGetColumnConst<ColumnFixedString>(col_right_raw))
{
auto col_left = checkAndGetColumn<ColumnFixedString>(col_left_const->getDataColumn());
auto col_right = checkAndGetColumn<ColumnFixedString>(col_right_const->getDataColumn());
if (col_left->getN() != col_right->getN())
return false;
auto col_res = ColumnFixedString::create(col_left->getN());
auto & out_chars = col_res->getChars();
out_chars.resize(col_left->getN());
OpImpl::vectorVector(col_left->getChars().data(),
col_right->getChars().data(),
out_chars.data(),
out_chars.size());
block.getByPosition(result).column = ColumnConst::create(std::move(col_res), block.rows());
return true;
}
}
bool is_left_column_const = checkAndGetColumnConst<ColumnFixedString>(col_left_raw) != nullptr;
bool is_right_column_const = checkAndGetColumnConst<ColumnFixedString>(col_right_raw) != nullptr;
auto col_left = is_left_column_const
? checkAndGetColumn<ColumnFixedString>(checkAndGetColumnConst<ColumnFixedString>(col_left_raw)->getDataColumn())
: checkAndGetColumn<ColumnFixedString>(col_left_raw);
auto col_right = is_right_column_const
? checkAndGetColumn<ColumnFixedString>(checkAndGetColumnConst<ColumnFixedString>(col_right_raw)->getDataColumn())
: checkAndGetColumn<ColumnFixedString>(col_right_raw);
if (col_left && col_right)
{
if (col_left->getN() != col_right->getN())
return false;
auto col_res = ColumnFixedString::create(col_left->getN());
auto & out_chars = col_res->getChars();
out_chars.resize((is_right_column_const ? col_left->size() : col_right->size()) * col_left->getN());
if (!is_left_column_const && !is_right_column_const)
{
OpImpl::vectorVector(
col_left->getChars().data(),
col_right->getChars().data(),
out_chars.data(),
out_chars.size());
}
else if (is_left_column_const)
{
OpImpl::constantVector(
col_left->getChars().data(),
col_right->getChars().data(),
out_chars.data(),
out_chars.size(),
col_left->getN());
}
else
{
OpImpl::vectorConstant(
col_left->getChars().data(),
col_right->getChars().data(),
out_chars.data(),
out_chars.size(),
col_left->getN());
}
block.getByPosition(result).column = std::move(col_res);
return true;
}
return false;
}
template <typename A, typename B>
bool executeNumeric(Block & block, const ColumnNumbers & arguments, size_t result [[maybe_unused]], const A & left, const B & right) const
{
using LeftDataType = std::decay_t<decltype(left)>;
using RightDataType = std::decay_t<decltype(right)>;
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
if constexpr (!std::is_same_v<ResultDataType, InvalidType>)
{
constexpr bool result_is_decimal = IsDataTypeDecimal<LeftDataType> || IsDataTypeDecimal<RightDataType>;
constexpr bool is_multiply = std::is_same_v<Op<UInt8, UInt8>, MultiplyImpl<UInt8, UInt8>>;
constexpr bool is_division = std::is_same_v<Op<UInt8, UInt8>, DivideFloatingImpl<UInt8, UInt8>> ||
std::is_same_v<Op<UInt8, UInt8>, DivideIntegralImpl<UInt8, UInt8>> ||
std::is_same_v<Op<UInt8, UInt8>, DivideIntegralOrZeroImpl<UInt8, UInt8>>;
using T0 = typename LeftDataType::FieldType;
using T1 = typename RightDataType::FieldType;
using ResultType = typename ResultDataType::FieldType;
using ColVecT0 = std::conditional_t<IsDecimalNumber<T0>, ColumnDecimal<T0>, ColumnVector<T0>>;
using ColVecT1 = std::conditional_t<IsDecimalNumber<T1>, ColumnDecimal<T1>, ColumnVector<T1>>;
using ColVecResult = std::conditional_t<IsDecimalNumber<ResultType>, ColumnDecimal<ResultType>, ColumnVector<ResultType>>;
/// Decimal operations need scale. Operations are on result type.
using OpImpl = std::conditional_t<IsDataTypeDecimal<ResultDataType>,
DecimalBinaryOperation<T0, T1, Op, ResultType>,
BinaryOperationImpl<T0, T1, Op<T0, T1>, ResultType>>;
auto col_left_raw = block.getByPosition(arguments[0]).column.get();
auto col_right_raw = block.getByPosition(arguments[1]).column.get();
if (auto col_left = checkAndGetColumnConst<ColVecT0>(col_left_raw))
{
if (auto col_right = checkAndGetColumnConst<ColVecT1>(col_right_raw))
{
/// the only case with a non-vector result
if constexpr (result_is_decimal)
{
ResultDataType type = decimalResultType(left, right, is_multiply, is_division);
typename ResultDataType::FieldType scale_a = type.scaleFactorFor(left, is_multiply);
typename ResultDataType::FieldType scale_b = type.scaleFactorFor(right, is_multiply || is_division);
if constexpr (IsDataTypeDecimal<RightDataType> && is_division)
scale_a = right.getScaleMultiplier();
auto res = OpImpl::constantConstant(col_left->template getValue<T0>(), col_right->template getValue<T1>(),
scale_a, scale_b, check_decimal_overflow);
block.getByPosition(result).column =
ResultDataType(type.getPrecision(), type.getScale()).createColumnConst(
col_left->size(), toField(res, type.getScale()));
}
else
{
auto res = OpImpl::constantConstant(col_left->template getValue<T0>(), col_right->template getValue<T1>());
block.getByPosition(result).column = ResultDataType().createColumnConst(col_left->size(), toField(res));
}
return true;
}
}
typename ColVecResult::MutablePtr col_res = nullptr;
if constexpr (result_is_decimal)
{
ResultDataType type = decimalResultType(left, right, is_multiply, is_division);
col_res = ColVecResult::create(0, type.getScale());
}
else
col_res = ColVecResult::create();
auto & vec_res = col_res->getData();
vec_res.resize(block.rows());
if (auto col_left_const = checkAndGetColumnConst<ColVecT0>(col_left_raw))
{
if (auto col_right = checkAndGetColumn<ColVecT1>(col_right_raw))
{
if constexpr (result_is_decimal)
{
ResultDataType type = decimalResultType(left, right, is_multiply, is_division);
typename ResultDataType::FieldType scale_a = type.scaleFactorFor(left, is_multiply);
typename ResultDataType::FieldType scale_b = type.scaleFactorFor(right, is_multiply || is_division);
if constexpr (IsDataTypeDecimal<RightDataType> && is_division)
scale_a = right.getScaleMultiplier();
OpImpl::constantVector(col_left_const->template getValue<T0>(), col_right->getData(), vec_res,
scale_a, scale_b, check_decimal_overflow);
}
else
OpImpl::constantVector(col_left_const->template getValue<T0>(), col_right->getData().data(), vec_res.data(), vec_res.size());
}
else
return false;
}
else if (auto col_left = checkAndGetColumn<ColVecT0>(col_left_raw))
{
if constexpr (result_is_decimal)
{
ResultDataType type = decimalResultType(left, right, is_multiply, is_division);
typename ResultDataType::FieldType scale_a = type.scaleFactorFor(left, is_multiply);
typename ResultDataType::FieldType scale_b = type.scaleFactorFor(right, is_multiply || is_division);
if constexpr (IsDataTypeDecimal<RightDataType> && is_division)
scale_a = right.getScaleMultiplier();
if (auto col_right = checkAndGetColumn<ColVecT1>(col_right_raw))
{
OpImpl::vectorVector(col_left->getData(), col_right->getData(), vec_res, scale_a, scale_b,
check_decimal_overflow);
}
else if (auto col_right_const = checkAndGetColumnConst<ColVecT1>(col_right_raw))
{
OpImpl::vectorConstant(col_left->getData(), col_right_const->template getValue<T1>(), vec_res,
scale_a, scale_b, check_decimal_overflow);
}
else
return false;
}
else
{
if (auto col_right = checkAndGetColumn<ColVecT1>(col_right_raw))
OpImpl::vectorVector(col_left->getData().data(), col_right->getData().data(), vec_res.data(), vec_res.size());
else if (auto col_right_const = checkAndGetColumnConst<ColVecT1>(col_right_raw))
OpImpl::vectorConstant(col_left->getData().data(), col_right_const->template getValue<T1>(), vec_res.data(), vec_res.size());
else
return false;
}
}
else
return false;
block.getByPosition(result).column = std::move(col_res);
return true;
}
return false;
}
void executeImpl(Block & block, const ColumnNumbers & arguments, size_t result, size_t input_rows_count) const override
{
/// Special case when multiply aggregate function state
if (isAggregateMultiply(block.getByPosition(arguments[0]).type, block.getByPosition(arguments[1]).type))
{
executeAggregateMultiply(block, arguments, result, input_rows_count);
return;
}
/// Special case - addition of two aggregate functions states
if (isAggregateAddition(block.getByPosition(arguments[0]).type, block.getByPosition(arguments[1]).type))
{
executeAggregateAddition(block, arguments, result, input_rows_count);
return;
}
/// Special case when the function is plus or minus, one of arguments is Date/DateTime and another is Interval.
if (auto function_builder = getFunctionForIntervalArithmetic(block.getByPosition(arguments[0]).type, block.getByPosition(arguments[1]).type))
{
executeDateTimeIntervalPlusMinus(block, arguments, result, input_rows_count, function_builder);
return;
}
const auto & left_argument = block.getByPosition(arguments[0]);
const auto & right_argument = block.getByPosition(arguments[1]);
auto * left_generic = left_argument.type.get();
auto * right_generic = right_argument.type.get();
bool valid = castBothTypes(left_generic, right_generic, [&](const auto & left, const auto & right)
{
using LeftDataType = std::decay_t<decltype(left)>;
using RightDataType = std::decay_t<decltype(right)>;
if constexpr (std::is_same_v<DataTypeFixedString, LeftDataType> || std::is_same_v<DataTypeFixedString, RightDataType>)
{
if constexpr (!Op<DataTypeFixedString, DataTypeFixedString>::allow_fixed_string)
return false;
else
return executeFixedString(block, arguments, result);
}
else
return executeNumeric(block, arguments, result, left, right);
});
if (!valid)
{
// This is a logical error, because the types should have been checked
// by getReturnTypeImpl().
throw Exception(ErrorCodes::LOGICAL_ERROR,
"Arguments of '{}' have incorrect data types: '{}' of type '{}',"
" '{}' of type '{}'", getName(),
left_argument.name, left_argument.type->getName(),
right_argument.name, right_argument.type->getName());
}
}
#if USE_EMBEDDED_COMPILER
bool isCompilableImpl(const DataTypes & arguments) const override
{
if (2 != arguments.size())
return false;
return castBothTypes(arguments[0].get(), arguments[1].get(), [&](const auto & left, const auto & right)
{
using LeftDataType = std::decay_t<decltype(left)>;
using RightDataType = std::decay_t<decltype(right)>;
if constexpr (std::is_same_v<DataTypeFixedString, LeftDataType> || std::is_same_v<DataTypeFixedString, RightDataType>)
return false;
else
{
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
using OpSpec = Op<typename LeftDataType::FieldType, typename RightDataType::FieldType>;
return !std::is_same_v<ResultDataType, InvalidType> && !IsDataTypeDecimal<ResultDataType> && OpSpec::compilable;
}
});
}
llvm::Value * compileImpl(llvm::IRBuilderBase & builder, const DataTypes & types, ValuePlaceholders values) const override
{
assert(2 == types.size() && 2 == values.size());
llvm::Value * result = nullptr;
castBothTypes(types[0].get(), types[1].get(), [&](const auto & left, const auto & right)
{
using LeftDataType = std::decay_t<decltype(left)>;
using RightDataType = std::decay_t<decltype(right)>;
if constexpr (!std::is_same_v<DataTypeFixedString, LeftDataType> && !std::is_same_v<DataTypeFixedString, RightDataType>)
{
using ResultDataType = typename BinaryOperationTraits<Op, LeftDataType, RightDataType>::ResultDataType;
using OpSpec = Op<typename LeftDataType::FieldType, typename RightDataType::FieldType>;
if constexpr (!std::is_same_v<ResultDataType, InvalidType> && !IsDataTypeDecimal<ResultDataType> && OpSpec::compilable)
{
auto & b = static_cast<llvm::IRBuilder<> &>(builder);
auto type = std::make_shared<ResultDataType>();
auto * lval = nativeCast(b, types[0], values[0](), type);
auto * rval = nativeCast(b, types[1], values[1](), type);
result = OpSpec::compile(b, lval, rval, std::is_signed_v<typename ResultDataType::FieldType>);
return true;
}
}
return false;
});
return result;
}
#endif
bool canBeExecutedOnDefaultArguments() const override { return valid_on_default_arguments; }
};
}
Reference in New Issue View Git Blame Copy Permalink