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A collection of C++20 libraries, include coro_rpc, struct_pack, struct_json, struct_xml, struct_pb, easylog, async_simple

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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

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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-clang
Ubuntu 22.04 (gcc 11.2.0) ubuntu-gcc
macOS Monterey 12 (AppleClang 14.0.0.14000029) macos-clang
Windows Server 2022 (MSVC 19.33.31630.0) win-msvc

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
  1. 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 .
  1. install
cmake --install . # --prefix ./user_defined_install_path 
  1. 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, 10-50x faster than protobuf.

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.

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);

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

option default value
INSTALL_THIRDPARTY ON
INSTALL_INDEPENDENT_THIRDPARTY OFF

ylt develop option

option default value
BUILD_EXAMPLES ON
BUILD_BENCHMARK ON
BUILD_UNIT_TESTS ON
BUILD_*(BUILD_CORO_RPC, BUILD_STRUCT_PACK etc) ON
COVERAGE_TEST OFF
GENERATE_BENCHMARK_DATA ON
CORO_RPC_USE_OTHER_RPC ON

ylt config option

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

option default value
ENABLE_SSL OFF
ENABLE_PMR OFF
ENABLE_IO_URING OFF
ENABLE_FILE_IO_URING OFF
ENABLE_STRUCT_PACK_UNPORTABLE_TYPE OFF
ENABLE_STRUCT_PACK_OPTIMIZE OFF

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

coro_rpc

coro_http

easylog

No dependency.

struct_pack

No dependency.

struct_json

struct_pb (optional)

struct_xml

struct_yaml

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.

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