yaLanTingLibs

A Collection of C++20 libraries, include struct_pack, struct_json, struct_xml, struct_yaml, struct_pb, easylog, coro_rpc, coro_http and async_simple

中文版

yaLanTingLibs is a collection of C++20 libraries, now it contains struct_pack, struct_json, struct_xml, struct_yaml, struct_pb, easylog, coro_rpc, coro_http and async_simple, more and more cool libraries will be added into yaLanTingLibs(such as http.) in the future.

The target of yaLanTingLibs: provide very easy and high performance C++20 libraries for C++ developers, it can help to quickly build high performance applications.

OS (Compiler Version)	Status
Ubuntu 22.04 (clang 14.0.0)
Ubuntu 22.04 (gcc 11.2.0)
macOS Monterey 12 (AppleClang 14.0.0.14000029)
Windows Server 2022 (MSVC 19.33.31630.0)

Quick Start

compiler requirements

make sure you have such compilers:

• g++10 above;
• clang++13 above (with stdlib = libc++-13/libstdc++-8 or later version);
• msvc 14.29 above;

Install & Compile

Yalantinglibs is a head-only library. You can just copy ./include/ylt directory into your project. But we suggest you use cmake to install it.

1. clone repo

git clone https://github.com/alibaba/yalantinglibs.git
cd yalantinglibs
mkdir build
cd build

2. build & test

• We suggest you compile the example and test the code first:

cmake ..
cmake --build . --config debug # add -j, if you have enough memory to parallel compile
ctest . # run tests

You can see the test/example/benchmark executable file in ./build/output/.

• Or you can just skip build example/test/benchmark:

# You can use those option to skip build unit-test & benchmark & example: 
cmake .. -DBUILD_EXAMPLES=OFF -DBUILD_BENCHMARK=OFF -DBUILD_UNIT_TESTS=OFF
cmake --build .

3. install

cmake --install . # --prefix ./user_defined_install_path 

4. start develop

• Use Cmake:

After install ylt, copy then open the directory src/*/examples, then:

mkdir build
cd build
cmake ..
cmake --build .

• Compile Manually:

1. Add include/ directory to include path(skip it if you have install ylt into system default path).
2. Add include/ylt/thirdparty to include path(skip it if you have install thirdparty independency by the cmake option -DINSTALL_INDEPENDENT_THIRDPARTY=ON).
3. Enable c++20 standard by option -std=c++20(g++/clang++) or /std:c++20(msvc)
4. If you use any header with coro_ prefix, add link option -pthread in linux and add option -fcoroutines when you use g++.
5. That's all. We could find other options in example/cmakelist.txt.

• More Details: For more details, see the cmake file here and there.

Introduction

coro_rpc

Very easy-to-use, coroutine-based, high performance rpc framework with C++20, more than 0.4M QPS per thread in pipeline mode. coro_rpc is a header only library.

You can finish a rpc server and rpc client in 5 minutes!

English Introduction

[English API] (TODO)

Talk (Chinese) of coro_rpc on purecpp conference.

Video (Chinese) on purecpp conference, start from 04:55:08 of the video record.

quick example

1.define a rpc function as a local normal function.

// rpc_service.hpp
inline std::string_view echo(std::string_view str) { return str; }

2.register rpc function and start a server

#include "rpc_service.hpp"
#include <ylt/coro_rpc/coro_rpc_server.hpp>

int main() {
  coro_rpc_server server(/*thread_num =*/10, /*port =*/9000);
  server.register_handler<echo>(); // register function echo
  server.start(); // start the server & block
}

3.rpc client call rpc service

#include "rpc_service.hpp"
#include <ylt/coro_rpc/coro_rpc_client.hpp>

Lazy<void> test_client() {
  coro_rpc_client client;
  co_await client.connect("localhost", /*port =*/"9000"); // connect to the server

  auto r = co_await client.call<echo>("hello coro_rpc"); // call remote function echo
  std::cout << r.result.value() << "\n"; //will print "hello coro_rpc"
}

int main() {
  syncAwait(test_client());
}

More examples here.

struct_pack

Based on compile-time reflection, very easy to use, high performance serialization library, struct_pack is a header only library, it is used by coro_rpc now.

Only one line code to finish serialization and deserialization, 2-50x faster than protobuf.

quick example

struct person {
  int64_t id;
  std::string name;
  int age;
  double salary;
};

person person1{.id = 1, .name = "hello struct pack", .age = 20, .salary = 1024.42};

// one line code serialize
std::vector<char> buffer = struct_pack::serialize(person1);

// one line code deserialization
auto person2 = deserialize<person>(buffer);

struct_pack is very faster.

English Introduction

[English API] (TODO)

(Slides) A Faster Serialization Library Based on Compile-time Reflection and C++ 20 of struct_pack on CppCon2022

(Video) A Faster Serialization Library Based on Compile-time Reflection and C++ 20 on cppcon2022

(Slides)(Chinese) of struct_pack on purecpp conference.

(Video)(Chinese) on purecpp conference, start from 01:32:20 of the video record.

See more examples here.

struct_json

reflection-based json lib, very easy to do struct to json and json to struct.

quick example

#include "ylt/struct_json/json_reader.h"
#include "ylt/struct_json/json_writer.h"

struct person {
  std::string name;
  int age;
};
REFLECTION(person, name, age);

int main() {
  person p{.name = "tom", .age = 20};
  std::string str;
  struct_json::to_json(p, str); // {"name":"tom","age":20}

  person p1;
  struct_json::from_json(p1, str);
}

struct_xml

reflection-based xml lib, very easy to do struct to xml and xml to struct.

quick example

#include "ylt/struct_xml/xml_reader.h"
#include "ylt/struct_xml/xml_writer.h"

struct person {
  std::string name;
  int age;
};
REFLECTION(person, name, age);

void basic_usage() {
  std::string xml = R"(
<person>
    <name>tom</name>
    <age>20</age>
</person>
)";

  person p;
  bool r = struct_xml::from_xml(p, xml.data());
  assert(r);
  assert(p.name == "tom" && p.age == 20);

  std::string str;
  r = struct_xml::to_xml_pretty(p, str);
  assert(r);
  std::cout << str;
}

struct_yaml

reflection-based yaml lib, very easy to do struct to yaml and yaml to struct.

quick example

#include "ylt/struct_yaml/yaml_reader.h"
#include "ylt/struct_yaml/yaml_writer.h"

struct person {
  std::string name;
  int age;
};
REFLECTION(person, name, age);

void basic_usage() {
    // serialization the structure to the string
    person p = {"admin", 20};
    std::string ss;
    struct_yaml::to_yaml(ss, p);
    std::cout << ss << std::endl;
    
    std::string yaml = R"(
    name : tom
    age : 30
    )";
    
    // deserialization the structure from the string
    struct_yaml::from_yaml(p, yaml);
}

coro_http

coro_http is a C++20 coroutine http(https) client, include: get/post, websocket, multipart file upload, chunked and ranges download etc.

get/post

#include "ylt/coro_http/coro_http_client.hpp"
using namespace coro_http;

async_simple::coro::Lazy<void> get_post(coro_http_client &client) {
  std::string uri = "http://www.example.com";
  auto result = co_await client.async_get(uri);
  std::cout << result.status << "\n";
  
  result = co_await client.async_post(uri, "hello", req_content_type::string);
  std::cout << result.status << "\n";
}

int main() {
  coro_http_client client{};
  async_simple::coro::syncAwait(get_post(client));
}

websocket

async_simple::coro::Lazy<void> websocket(coro_http_client &client) {
  client.on_ws_close([](std::string_view reason) {
    std::cout << "web socket close " << reason << std::endl;
  });
  
  client.on_ws_msg([](resp_data data) {
    std::cout << data.resp_body << std::endl;
  });

  // connect to your websocket server.
  bool r = co_await client.async_connect("ws://example.com/ws");
  if (!r) {
    co_return;
  }

  co_await client.async_send_ws("hello websocket");
  co_await client.async_send_ws("test again", /*need_mask = */ false);
  co_await client.async_send_ws_close("ws close reason");
}

upload/download

async_simple::coro::Lazy<void> upload_files(coro_http_client &client) {
  std::string uri = "http://example.com";
  
  client.add_str_part("hello", "world");
  client.add_str_part("key", "value");
  client.add_file_part("test", "test.jpg");
  auto result = co_await client.async_upload(uri);
  std::cout << result.status << "\n";
  
  result = co_await client.async_upload(uri, "test", "test.jpg");
}

async_simple::coro::Lazy<void> download_files(coro_http_client &client) {
  // chunked download
  auto result = co_await client.async_download("http://example.com/test.jpg",
                                               "myfile.jpg");
  std::cout << result.status << "\n";
  
  // ranges download
  result = co_await client.async_download("http://example.com/test.txt",
                                               "myfile.txt", "1-10,11-16");
  std::cout << result.status << "\n";
}

async_simple

A C++ 20 coroutine library offering simple, light-weight and easy-to-use components to write asynchronous codes. See async_simple

Details

CMAKE OPTION

These CMake options is used for yalantinglibs developing/installing itself. They are not effected for your project, because ylt is a head-only.

INSTALL OPTION

ylt develop option

ylt config option

These option maybe useful for your project. If you want to enable it in your project, see the cmake code here

Thirdparty Dependency

In default, yalantinglibs will install thirdparty librarys in ylt/thirdparty. You need add it to include path when compile.

If you don't want to install the thirdparty librarys, you can turn off cmake option -DINSTALL_THIRDPARTY=OFF. If you want to install the thirdparty independently (direct install it in system include path so that you don't need add ylt/thirdparty to include path), you can use turn on cmake option -DINSTALL_INDEPENDENT_THIRDPARTY=ON.

Here are the thirdparty libraries we used(Although async_simple is a part of ylt, it open source first, so we import it as a independence thirdparty library).

coro_io

• asio
• async_simple
• openssl (optional)

coro_rpc

• asio
• async_simple
• openssl (optional)

coro_http

• asio
• async_simple
• cinatra

easylog

No dependency.

struct_pack

No dependency.

struct_json

• iguana

struct_pb (optional)

• protobuf

struct_xml

• iguana

struct_yaml

• iguana

Benchmark

coro_rpc

options:

./benchmark_client # [threads = hardware counts] [client_pre_thread = 20] [pipeline_size = 1] [host = 127.0.0.1] [port = 9000] [test_data_path = ./test_data/echo_test] [test_seconds = 30] [warm_up_seconds = 5]

How to generate document

see Build Website

How to Contribute

1. Create an issue in the issue template.
2. Run tests and git-clang-format HEAD^ locally for the change.
3. Create a PR, fill in the PR template.
4. Choose one or more reviewers from contributors: (e.g., qicosmos, poor-circle, PikachuHyA).
5. Get approved and merged.

License

yaLanTingLibs is distributed under the Apache License (Version 2.0) This product contains various third-party components under other open-source licenses. See the NOTICE file for more information.