e412dd12e8
Currently, there are some useless includes in the codebase. We can use a tool named include-what-you-use to optimize these includes. By using a strict include-what-you-use policy, we can get lots of benefits from it.
112 lines
3.9 KiB
C++
112 lines
3.9 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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#pragma once
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#include <fmt/format.h>
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#include <gen_cpp/Types_types.h>
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#include <stddef.h>
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#include <memory>
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#include <string>
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#include <vector>
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#include "common/status.h"
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#include "udf/udf.h"
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#include "vec/core/block.h"
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#include "vec/core/column_numbers.h"
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#include "vec/core/column_with_type_and_name.h"
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#include "vec/core/columns_with_type_and_name.h"
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#include "vec/core/types.h"
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#include "vec/data_types/data_type.h"
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#include "vec/functions/function.h"
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namespace doris {
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class PFunctionCallRequest;
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class PFunctionService_Stub;
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class PValues;
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} // namespace doris
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namespace doris::vectorized {
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class RPCFnImpl {
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public:
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RPCFnImpl(const TFunction& fn);
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~RPCFnImpl() = default;
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Status vec_call(FunctionContext* context, vectorized::Block& block,
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const std::vector<size_t>& arguments, size_t result, size_t input_rows_count);
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bool available() { return _client != nullptr; }
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private:
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void _convert_block_to_proto(vectorized::Block& block,
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const vectorized::ColumnNumbers& arguments,
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size_t input_rows_count, PFunctionCallRequest* request);
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void _convert_to_block(vectorized::Block& block, const PValues& result, size_t pos);
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std::shared_ptr<PFunctionService_Stub> _client;
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std::string _function_name;
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std::string _server_addr;
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std::string _signature;
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TFunction _fn;
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};
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class FunctionRPC : public IFunctionBase {
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public:
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FunctionRPC(const TFunction& fn, const DataTypes& argument_types,
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const DataTypePtr& return_type);
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static FunctionBasePtr create(const TFunction& fn, const ColumnsWithTypeAndName& argument_types,
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const DataTypePtr& return_type) {
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DataTypes data_types(argument_types.size());
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for (size_t i = 0; i < argument_types.size(); ++i) {
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data_types[i] = argument_types[i].type;
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}
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return std::make_shared<FunctionRPC>(fn, data_types, return_type);
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}
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/// Get the main function name.
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String get_name() const override {
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return fmt::format("{}: [{}/{}]", _tfn.name.function_name, _tfn.hdfs_location,
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_tfn.scalar_fn.symbol);
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}
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const DataTypes& get_argument_types() const override { return _argument_types; }
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const DataTypePtr& get_return_type() const override { return _return_type; }
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PreparedFunctionPtr prepare(FunctionContext* context, const Block& sample_block,
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const ColumnNumbers& arguments, size_t result) const override {
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return nullptr;
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}
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Status open(FunctionContext* context, FunctionContext::FunctionStateScope scope) override;
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Status execute(FunctionContext* context, Block& block, const ColumnNumbers& arguments,
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size_t result, size_t input_rows_count, bool dry_run = false) override;
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bool is_deterministic() const override { return false; }
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bool is_deterministic_in_scope_of_query() const override { return false; }
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private:
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DataTypes _argument_types;
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DataTypePtr _return_type;
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TFunction _tfn;
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std::unique_ptr<RPCFnImpl> _fn;
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};
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} // namespace doris::vectorized
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