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# rest_rpc
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c++11, high performance, simple, easy to use rpc framework.
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c++11, high performance, cross platform, easy to use rpc framework.
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It's so easy to love RPC.
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Modern C++开发的RPC库就是这么简单好用！
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# performance
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# rest_rpc简介
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Here are the [performance test result](https://github.com/qicosmos/rest_rpc/blob/master/doc/%E5%8D%95%E6%9C%BA%E4%B8%8Arest_rpc%E5%92%8Cbrpc%E6%80%A7%E8%83%BD%E6%B5%8B%E8%AF%95.md "performance")
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rest_rpc是一个高性能、易用、跨平台、header only的c++11 rpc库，它的目标是让tcp通信变得非常简单易用，即使不懂网络通信的人也可以直接使用它。
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可以快速上手，使用者只需要关注自己的业务逻辑即可。
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# quick example
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# rest_rpc的特点
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server code
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## 易
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#include "rpc_server.h"
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using namespace rest_rpc;
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using namespace rpc_service;
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rest_rpc为用户提供了非常简单易用的接口，几行代码就可以实现rpc通信了，来看第一个例子
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### 一个加法的rpc服务
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```
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//服务端注册加法rpc服务
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struct dummy{
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int add(connection* conn, int a, int b) { return a + b; }
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int add(rpc_conn conn, int a, int b) { return a + b; }
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};
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std::string translate(connection* conn, const std::string& orignal) {
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std::string temp = orignal;
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for (auto& c : temp) {
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c = std::toupper(c);
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}
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return temp;
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}
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void hello(connection* conn, const std::string& str) {
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std::cout << "hello " << str << std::endl;
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}
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int main(){
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rpc_server server(9000, 4);
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rpc_server server(9000, std::thread::hardware_concurrency());
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dummy d;
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server.register_handler("add", &dummy::add, &d);
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server.register_handler("translate", translate);
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server.register_handler("hello", hello);
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server.run();
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std::string str;
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std::cin >> str;
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}
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```
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通用的rpc_client用法_
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#include <iostream>
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#include <rpc_client.hpp>
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#include <chrono>
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#include <fstream>
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#include "codec.h"
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using namespace rest_rpc;
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using namespace rest_rpc::rpc_service;
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void test_add() {
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try{
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```
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//客户端调用加法的rpc服务
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int main(){
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rpc_client client("127.0.0.1", 9000);
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bool r = client.connect();
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if (!r) {
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std::cout << "connect timeout" << std::endl;
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return;
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}
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client.connect();
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auto result = client.call<int>("add", 1, 2);
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std::cout << result << std::endl;
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}
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catch (const std::exception& e){
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std::cout << e.what() << std::endl;
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}
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}
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int result = client.call<int>("add", 1, 2);
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void test_translate() {
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try {
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rpc_client client("127.0.0.1", 9000);
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bool r = client.connect();
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if (!r) {
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std::cout << "connect timeout" << std::endl;
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return;
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client.run();
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}
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```
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auto result = client.call<std::string>("translate", "hello");
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std::cout << result << std::endl;
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}
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catch (const std::exception& e) {
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std::cout << e.what() << std::endl;
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}
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}
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### 获取一个对象的rpc服务
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void test_hello() {
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try {
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rpc_client client("127.0.0.1", 9000);
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bool r = client.connect();
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if (!r) {
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std::cout << "connect timeout" << std::endl;
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return;
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}
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```
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//服务端注册获取person的rpc服务
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client.call("hello", "purecpp");
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}
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catch (const std::exception& e) {
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std::cout << e.what() << std::endl;
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}
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//1.先定义person对象
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struct person {
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int id;
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std::string name;
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int age;
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MSGPACK_DEFINE(id, name, age);
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};
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//2.提供并服务
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person get_person(rpc_conn conn) {
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return { 1, "tom", 20 };
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}
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int main(){
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test_add();
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test_translate();
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test_hello();
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return 0;
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}
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如果希望client使用的时候更加安全，可以自己对通用的rpc_client做一个简单的封装，就可以更安全的使用接口了，具体可以参考example中的app_client.
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在app_client中不需要输入rpc服务名称，需要输入的参数也做了类型限定，可以保证不会传入错误的参数。
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app_client的用法
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#include <iostream>
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#include "client.hpp"
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void test_client() {
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client cl("127.0.0.1", 9000);
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bool r = cl.connect();
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if (!r) {
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std::cout << "connect failed" << std::endl;
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return;
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}
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try {
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int result = cl.add(2, 3);
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cl.hello("purecpp");
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auto str = cl.translate("purecpp");
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auto name = cl.get_person_name({ 1, "tom", 20 });
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auto p = cl.get_person();
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std::cout << result << '\n';
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std::cout << str << '\n';
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std::cout << name << '\n';
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std::cout << p.name << '\n';
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{
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auto future = cl.async_add(4, 5);
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if (future.wait_for(std::chrono::milliseconds(50)) == std::future_status::timeout) {
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std::cout << "timeout" << std::endl;
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}
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else {
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auto result = future.get().as<int>();
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std::cout << result << std::endl;
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}
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}
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{
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auto future = cl.async_translate("modern c++");
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if (future.wait_for(std::chrono::milliseconds(50)) == std::future_status::timeout) {
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std::cout << "timeout" << std::endl;
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}
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else {
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auto result = future.get().as<std::string>();
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std::cout << result << std::endl;
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}
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}
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}
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catch (const std::exception& ex) {
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std::cout << ex.what() << std::endl;
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}
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//...
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server.register_handler("get_person", get_person);
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}
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```
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```
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//客户端调用获取person对象的rpc服务
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int main(){
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test_client();
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rpc_client client("127.0.0.1", 9000);
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client.connect();
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std::string str;
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std::cin >> str;
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person result = client.call<person>("get_person");
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std::cout << result.name << std::endl;
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client.run();
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}
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```
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## 酷
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异步？
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同步？
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future?
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callback？
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当初为了提供什么样的接口在社区群里还争论了一番，有人希望提供callback接口，有人希望提供future接口，最后我
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决定都提供，专治强迫症患者:)
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现在想要的这些接口都给你提供了，你想用什么类型的接口就用什么类型的接口，够酷吧，让我们来看看怎么用这些接口吧：
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```
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//服务端提供echo服务
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std::string echo(rpc_conn conn, const std::string& src) {
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return src;
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}
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server.register_handler("echo", echo);
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```
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除了简单好用，没什么多余的要说的。
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客户端同步接口
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```
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auto result = client.call<std::string>("echo", "hello");
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```
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客户端异步回调接口
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```
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client.async_call("echo", [](boost::system::error_code ec, string_view data){
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auto str = as<std::string>(data);
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std::cout << "echo " << str << '\n';
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});
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```
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客户端异步future接口
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```
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auto future = client->async_call<FUTURE>("echo", "hello");
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auto status = future.wait_for(std::chrono::seconds(2));
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if (status == std::future_status::timeout) {
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std::cout << "timeout\n";
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}
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else if (status == std::future_status::ready) {
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auto str = future.get().as<std::string>();
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std::cout << "echo " << str << '\n';
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}
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```
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除了上面的这些很棒的接口之外，更酷的是rest_rpc还支持了服务端推送的功能，这是目前很多rpc库做不到的。
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服务端定时推送的例子在这里：
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https://github.com/qicosmos/rest_rpc/blob/master/examples/server/main.cpp#L88
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https://github.com/qicosmos/rest_rpc/blob/master/examples/client/main.cpp#L372
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## 快
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rest_rpc是目前最快的rpc库，具体和grpc和brpc做了性能对比测试，rest_rpc性能是最高的，远超grpc。
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性能测试的结果在这里：
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https://github.com/qicosmos/rest_rpc/blob/master/doc/%E5%8D%95%E6%9C%BA%E4%B8%8Arest_rpc%E5%92%8Cbrpc%E6%80%A7%E8%83%BD%E6%B5%8B%E8%AF%95.md
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# rest_rpc的更多用法
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可以参考rest_rpc的example:
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https://github.com/qicosmos/rest_rpc/tree/master/examples
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# future
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