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// 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.
#pragma once
#include "vec/columns/column_array.h"
#include "vec/data_types/data_type_array.h"
#include "vec/data_types/data_type_number.h"
#include "vec/functions/array/function_array_utils.h"
#include "vec/functions/function.h"
#include "vec/functions/function_helpers.h"
namespace doris::vectorized {
#include "common/compile_check_begin.h"
// Functions with more than two arrays of the same element type.
template <typename Impl, typename Name>
class FunctionArrayNary : public IFunction {
public:
static constexpr auto name = Name::name;
static FunctionPtr create() { return std::make_shared<FunctionArrayNary>(); }
String get_name() const override { return name; }
bool is_variadic() const override { return true; }
size_t get_number_of_arguments() const override { return 0; }
DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
DCHECK(arguments.size() >= 2)
<< "function: " << get_name() << ", arguments should large equals than 2";
CHECK(arguments[0]->get_primitive_type() == TYPE_ARRAY)
<< "0-th element is " << arguments[0]->get_name() << ",not array type";
auto nested_type = remove_nullable(
assert_cast<const DataTypeArray&>(*(arguments[0])).get_nested_type());
for (size_t i = 1; i < arguments.size(); ++i) {
CHECK(arguments[i]->get_primitive_type() == TYPE_ARRAY)
<< i << "-th element is " << arguments[i]->get_name() << ", not array type";
auto right_nested_type = remove_nullable(
assert_cast<const DataTypeArray&>(*(remove_nullable(arguments[i])))
.get_nested_type());
// do check array nested data type, now we just support same nested data type
CHECK(nested_type->equals_ignore_precision(*right_nested_type))
<< "data type " << arguments[i]->get_name() << " not equal with "
<< arguments[0]->get_name();
}
DataTypePtr res_data_type = Impl::get_return_type(arguments);
return res_data_type;
}
Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
uint32_t result, size_t input_rows_count) const override {
ColumnPtr res_ptr;
ColumnArrayExecutionDatas datas(arguments.size());
std::vector<bool> col_const(arguments.size());
for (int i = 0; i < arguments.size(); ++i) {
const auto& [col, is_const] =
unpack_if_const(block.get_by_position(arguments[i]).column);
col_const[i] = is_const;
extract_column_array_info(*col, datas[i]);
}
if (Status st = Impl::execute(res_ptr, datas, col_const, 0, input_rows_count); !st.ok()) {
return Status::RuntimeError(
fmt::format("function {} execute failed {} ", get_name(), st.to_string()));
}
block.replace_by_position(result, std::move(res_ptr));
return Status::OK();
}
};
#include "common/compile_check_end.h"
} // namespace doris::vectorized