中文版

yaLanTingLibs is a collection of modern c++ util libraries, now it contains struct_pack, struct_json, struct_xml, struct_yaml, struct_pb, easylog, coro_rpc, coro_io, coro_http and async_simple, more and more cool libraries will be added into yaLanTingLibs in the future.

The target of yaLanTingLibs: provide very easy and high performance modern C++ libraries for 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

If your compiler don't support C++20, yalantinglibs will only compile the serialization libraries (struct_pack, struct_json, struct_xml, struct_yaml, easylog support C++17). Make sure you have such compilers:

• g++9 above;
• clang++6 above
• msvc 14.20 above;

Otherwise, yalantinglibs will compile all the libraries. Make sure you have such compilers:

• g++10 above;
• clang++13 above
• msvc 14.29 above;

You can also use cmake option -DENABLE_CPP_20=ON or -DENABLE_CPP_20=OFF to control it.

Install & Compile

By Homebrew

1. Install homebrew
2. run brew install yalantinglibs
3. If you use cmake, add those codes:

find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

By Vcpkg

1. Install vcpkg
2. run ./vcpkg install yalantinglibs
3. If you use cmake, add those codes:

find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

Cmake FetchContent

You can also import ylt by cmake FetchContent

cmake_minimum_required(VERSION 3.15)
project(ylt_test)

include(FetchContent)

FetchContent_Declare(
    yalantinglibs
    GIT_REPOSITORY https://github.com/alibaba/yalantinglibs.git
    GIT_TAG main 
    GIT_SHALLOW 1 # optional ( --depth=1 )
)

FetchContent_MakeAvailable(yalantinglibs)
add_executable(main main.cpp)

target_link_libraries(main yalantinglibs::yalantinglibs)
target_compile_features(main PRIVATE cxx_std_20)

Cmake add_subdirectory

1. download ylt source code and put it in your project
2. add ylt to your project as subdirectory:

cmake_minimum_required(VERSION 3.15)
project(ylt_test)

add_subdirectory(yalantinglibs)  # you may modify the path as the real relative path in your project
add_executable(main main.cpp)

target_link_libraries(main yalantinglibs::yalantinglibs)
target_compile_features(main PRIVATE cxx_std_20)

Manually Install & Import

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:

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

3. install

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

4. start develop

• start by example:

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

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

• import ylt to your project(cmake):

find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)

• import ylt in your project Manually if you don't want to use cmake:

1. Add include/ directory to include path(skip it if you have install ylt into default include path).
2. Add include/ylt/thirdparty to include path(skip it if you have install ylt by cmake).
3. Add include/ylt/standalone to include path(skip it if you have install ylt by cmake).
4. Enable c++20 standard by option -std=c++20(g++/clang++) or /std:c++20(msvc)
5. Add link option -pthread,-ldl when you use g++, add option -fcoroutines when you use g++10.

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, 2-20x 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 fast.

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;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(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;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(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;
};

// static reflection works in C++20. In C++17 we need add macro manually
// YLT_REFL(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) library, include server and client, functions: get/post, websocket, multipart file upload, chunked and ranges download etc. more examples

get/post

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

async_simple::coro::Lazy<void> basic_usage() {
  coro_http_server server(1, 9001);
  server.set_http_handler<GET>(
      "/get", [](coro_http_request &req, coro_http_response &resp) {
        resp.set_s