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// Licensed to the Apache Software Foundation (ASF) under one
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// 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.
#include <bit>
#include <bitset>
#include "common/status.h"
#include "vec/columns/column.h"
#include "vec/columns/column_vector.h"
#include "vec/common/assert_cast.h"
#include "vec/core/types.h"
#include "vec/data_types/data_type_number.h"
#include "vec/functions/cast_type_to_either.h"
#include "vec/functions/simple_function_factory.h"
namespace doris::vectorized {
class FunctionBitTest : public IFunction {
public:
static constexpr auto name = "bit_test";
static FunctionPtr create() { return std::make_shared<FunctionBitTest>(); }
String get_name() const override { return name; }
size_t get_number_of_arguments() const override { return 0; }
bool is_variadic() const override { return true; }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
return std::make_shared<DataTypeInt8>();
}
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count) const override {
bool valid =
cast_type(block.get_by_position(arguments[0]).type.get(), [&](const auto& type) {
using DataType = std::decay_t<decltype(type)>;
if (auto col = check_and_get_column<ColumnVector<DataType::PType>>(
block.get_by_position(arguments[0]).column.get()) ||
is_column_const(*block.get_by_position(arguments[0]).column)) {
execute_inner<DataType::PType>(block, arguments, result, input_rows_count);
return true;
}
return false;
});
if (!valid) {
return Status::RuntimeError(
"{}'s argument does not match the expected data type, type: {}, column: {}",
get_name(), block.get_by_position(arguments[0]).type->get_name(),
block.get_by_position(arguments[0]).column->dump_structure());
}
return Status::OK();
}
template <typename F>
static bool cast_type(const IDataType* type, F&& f) {
return cast_type_to_either<DataTypeInt8, DataTypeInt16, DataTypeInt32, DataTypeInt64,
DataTypeInt128>(type, std::forward<F>(f));
}
template <PrimitiveType T>
void execute_inner(Block& block, const ColumnNumbers& arguments, uint32_t result,
size_t input_rows_count) const {
size_t argument_size = arguments.size();
std::vector<ColumnPtr> argument_columns(argument_size);
auto result_data_column = ColumnInt8::create(input_rows_count, 1);
auto& res_data = result_data_column->get_data();
// maybe most user is bit_test(column, const), so only handle this case
if (argument_size == 2) {
std::vector<uint8_t> is_consts(argument_size);
std::tie(argument_columns[0], is_consts[0]) =
unpack_if_const(block.get_by_position(arguments[0]).column);
std::tie(argument_columns[1], is_consts[1]) =
unpack_if_const(block.get_by_position(arguments[1]).column);
execute_for_two_argument<T>(argument_columns, is_consts, res_data, input_rows_count);
} else {
for (size_t i = 0; i < argument_size; ++i) {
argument_columns[i] = block.get_by_position(arguments[i])
.column->convert_to_full_column_if_const();
}
execute_for_others_arg<T>(argument_columns, res_data, argument_size, input_rows_count);
}
block.replace_by_position(result, std::move(result_data_column));
}
template <PrimitiveType T>
void execute_for_two_argument(std::vector<ColumnPtr>& argument_columns,
std::vector<uint8_t>& is_consts, ColumnInt8::Container& res_data,
size_t input_rows_count) const {
const auto& first_column_data =
assert_cast<const ColumnVector<T>&>(*argument_columns[0].get()).get_data();
const auto& second_column_data =
assert_cast<const ColumnVector<T>&>(*argument_columns[1].get()).get_data();
for (int i = 0; i < input_rows_count; ++i) {
auto first_value = first_column_data[index_check_const(i, is_consts[0])];
auto second_value = second_column_data[index_check_const(i, is_consts[1])];
// the pos is invalid, set result = 0
if (second_value < 0 ||
second_value >= sizeof(typename PrimitiveTypeTraits<T>::CppType) * 8) {
res_data[i] = 0;
continue;
}
res_data[i] = ((first_value >> second_value) & 1);
}
}
template <PrimitiveType T>
void execute_for_others_arg(std::vector<ColumnPtr>& argument_columns,
ColumnInt8::Container& res_data, size_t argument_size,
size_t input_rows_count) const {
const auto& first_column_data =
assert_cast<const ColumnVector<T>&>(*argument_columns[0].get()).get_data();
for (int i = 0; i < input_rows_count; ++i) {
auto first_value = first_column_data[i];
for (int col = 1; col < argument_size; ++col) {
const auto& arg_column_data =
assert_cast<const ColumnVector<T>&>(*argument_columns[col].get())
.get_data();
// the pos is invalid, set result = 0
if (arg_column_data[i] < 0 ||
arg_column_data[i] >= sizeof(typename PrimitiveTypeTraits<T>::CppType) * 8) {
res_data[i] = 0;
break;
}
// if one of pos & result is 0, could set res = 0, and return directly.
if (!((first_value >> arg_column_data[i]) & 1)) {
res_data[i] = 0;
break;
}
}
}
}
};
void register_function_bit_test(SimpleFunctionFactory& factory) {
factory.register_function<FunctionBitTest>();
factory.register_alias("bit_test", "bit_test_all");
}
} // namespace doris::vectorized