blob: 061edce4004081eaca54356c1f6dd9cc9a8349dc [file] [log] [blame]
// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements. See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership. The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied. See the License for the
// specific language governing permissions and limitations
// under the License.
// This file is copied from
// https://github.com/ClickHouse/ClickHouse/blob/master/src/Functions/bitAnd.cpp
// and modified by Doris
#include <utility>
#include "common/status.h"
#include "vec/columns/column.h"
#include "vec/columns/column_string.h"
#include "vec/columns/column_vector.h"
#include "vec/common/pod_array_fwd.h"
#include "vec/core/types.h"
#include "vec/data_types/data_type_number.h"
#include "vec/data_types/number_traits.h"
#include "vec/functions/function_binary_arithmetic.h"
#include "vec/functions/function_totype.h"
#include "vec/functions/function_unary_arithmetic.h"
#include "vec/functions/simple_function_factory.h"
namespace doris::vectorized {
struct NameBitAnd {
static constexpr auto name = "bitand";
};
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);
}
};
struct NameBitNot {
static constexpr auto name = "bitnot";
};
template <typename A>
struct BitNotImpl {
using ResultType = typename NumberTraits::ResultOfBitNot<A>::Type;
static inline ResultType apply(A a) { return ~static_cast<ResultType>(a); }
};
struct NameBitOr {
static constexpr auto name = "bitor";
};
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);
}
};
struct NameBitXor {
static constexpr auto name = "bitxor";
};
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);
}
};
struct NameBitLength {
static constexpr auto name = "bit_length";
};
struct BitLengthImpl {
using ReturnType = DataTypeInt32;
static constexpr auto PrimitiveTypeImpl = PrimitiveType::TYPE_STRING;
using Type = String;
using ReturnColumnType = ColumnVector<Int32>;
static Status vector(const ColumnString::Chars& data, const ColumnString::Offsets& offsets,
PaddedPODArray<Int32>& res) {
auto size = offsets.size();
res.resize(size);
for (int i = 0; i < size; ++i) {
int str_size = offsets[i] - offsets[i - 1];
res[i] = (str_size * 8);
}
return Status::OK();
}
};
using FunctionBitAnd = FunctionBinaryArithmetic<BitAndImpl, NameBitAnd, false>;
using FunctionBitNot = FunctionUnaryArithmetic<BitNotImpl, NameBitNot>;
using FunctionBitOr = FunctionBinaryArithmetic<BitOrImpl, NameBitOr, false>;
using FunctionBitXor = FunctionBinaryArithmetic<BitXorImpl, NameBitXor, false>;
using FunctionBitLength = FunctionUnaryToType<BitLengthImpl, NameBitLength>;
void register_function_bit(SimpleFunctionFactory& factory) {
factory.register_function<FunctionBitAnd>();
factory.register_function<FunctionBitNot>();
factory.register_function<FunctionBitOr>();
factory.register_function<FunctionBitXor>();
factory.register_function<FunctionBitLength>();
}
} // namespace doris::vectorized