be/src/vec/functions/array/function_array_binary.h

// 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
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// 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 {

// Functions with arguments is two arrays of the same element type.
template <typename Impl, typename Name>
class FunctionArrayBinary : public IFunction {
public:
    static constexpr auto name = Name::name;
    static FunctionPtr create() { return std::make_shared<FunctionArrayBinary>(); }
    String get_name() const override { return name; }
    bool is_variadic() const override { return false; }
    size_t get_number_of_arguments() const override { return 2; }

    DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
        DCHECK(arguments[0]->get_primitive_type() == TYPE_ARRAY) << arguments[0]->get_name();
        DCHECK(arguments[1]->get_primitive_type() == TYPE_ARRAY) << arguments[1]->get_name();
        auto left_nested_type = remove_nullable(
                assert_cast<const DataTypeArray&>(*(arguments[0])).get_nested_type());
        auto right_nested_type = remove_nullable(
                assert_cast<const DataTypeArray&>(*(arguments[1])).get_nested_type());
        DCHECK(left_nested_type->equals_ignore_precision(*right_nested_type))
                << "data type " << arguments[0]->get_name() << " not equal with "
                << arguments[1]->get_name();
        return Impl::get_return_type(arguments);
    }

    Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
                        uint32_t result, size_t input_rows_count) const override {
        const auto& [left_column, left_const] =
                unpack_if_const(block.get_by_position(arguments[0]).column);
        const auto& [right_column, right_const] =
                unpack_if_const(block.get_by_position(arguments[1]).column);

        // extract array column
        ColumnArrayExecutionData left_data;
        ColumnArrayExecutionData right_data;
        ColumnPtr res_ptr = nullptr;
        if (extract_column_array_info(*left_column, left_data) &&
            extract_column_array_info(*right_column, right_data) &&
            Impl::execute(res_ptr, left_data, right_data, left_const, right_const) ==
                    Status::OK()) {
            block.replace_by_position(result, std::move(res_ptr));
            return Status::OK();
        }
        return Status::RuntimeError(
                fmt::format("execute failed, unsupported types for function {}({}, {})", get_name(),
                            block.get_by_position(arguments[0]).type->get_name(),
                            block.get_by_position(arguments[1]).type->get_name()));
    }
};

} // namespace doris::vectorized