93 lines
4.0 KiB
C++
93 lines
4.0 KiB
C++
// Licensed to the Apache Software Foundation (ASF) under one
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// or more contributor license agreements. See the NOTICE file
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// distributed with this work for additional information
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// regarding copyright ownership. The ASF licenses this file
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// to you under the Apache License, Version 2.0 (the
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// "License"); you may not use this file except in compliance
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// with the License. You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing,
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// software distributed under the License is distributed on an
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// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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// KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations
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// under the License.
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#include <cstddef>
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#include "vec/columns/column_array.h"
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#include "vec/data_types/data_type_array.h"
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#include "vec/functions/function.h"
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#include "vec/functions/simple_function_factory.h"
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namespace doris::vectorized {
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// array_concat([1, 2], [7, 8], [5, 6]) -> [1, 2, 7, 8, 5, 6]
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class FunctionArrayConcat : public IFunction {
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public:
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static constexpr auto name = "array_concat";
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static FunctionPtr create() { return std::make_shared<FunctionArrayConcat>(); }
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String get_name() const override { return name; }
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bool is_variadic() const override { return true; }
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size_t get_number_of_arguments() const override { return 1; }
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DataTypePtr get_return_type_impl(const DataTypes& arguments) const override {
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DCHECK(arguments.size() > 0)
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<< "function: " << get_name() << ", arguments should not be empty";
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for (const auto& arg : arguments) {
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DCHECK(is_array(arg)) << "argument for function array_concat should be DataTypeArray"
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<< " and argument is " << arg->get_name();
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}
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return arguments[0];
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}
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Status execute_impl(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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const size_t result, size_t input_rows_count) override {
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DataTypePtr column_type = block.get_by_position(arguments[0]).type;
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auto nested_type = assert_cast<const DataTypeArray&>(*column_type).get_nested_type();
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auto result_column = ColumnArray::create(nested_type->create_column(),
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ColumnArray::ColumnOffsets::create());
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IColumn& result_nested_col = result_column->get_data();
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ColumnArray::Offsets64& column_offsets = result_column->get_offsets();
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column_offsets.resize(input_rows_count);
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size_t total_size = 0;
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for (size_t col : arguments) {
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ColumnPtr src_column =
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block.get_by_position(col).column->convert_to_full_column_if_const();
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const auto& src_column_array = check_and_get_column<ColumnArray>(*src_column);
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total_size += src_column_array->get_data().size();
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}
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result_nested_col.reserve(total_size);
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size_t off = 0;
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for (size_t row = 0; row < input_rows_count; ++row) {
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for (size_t col : arguments) {
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ColumnPtr src_column =
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block.get_by_position(col).column->convert_to_full_column_if_const();
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const auto& src_column_array = check_and_get_column<ColumnArray>(*src_column);
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const auto& src_column_offsets = src_column_array->get_offsets();
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const size_t length = src_column_offsets[row] - src_column_offsets[row - 1];
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result_nested_col.insert_range_from(src_column_array->get_data(),
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src_column_offsets[row - 1], length);
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off += length;
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}
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column_offsets[row] = off;
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}
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block.replace_by_position(result, std::move(result_column));
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return Status::OK();
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}
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};
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void register_function_array_concat(SimpleFunctionFactory& factory) {
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factory.register_function<FunctionArrayConcat>();
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}
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} // namespace doris::vectorized
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