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
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) |  |
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 vcpkg
- run
./vcpkg install yalantinglibs - If you use cmake, add those codes:
find_package(yalantinglibs CONFIG REQUIRED)
target_link_libraries(main PRIVATE yalantinglibs::yalantinglibs)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.
- clone repo
git clone https://github.com/alibaba/yalantinglibs.git
cd yalantinglibs
mkdir build
cd build- 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
- Build in bazel:
bazel build ylt # Please make sure bazel in you bin path.
bazel build coro_http_example # Or replace in anyone you want to build and test.
# Actually you might take it in other project in prefix @com_alibaba_yalangtinglibs, like
bazel build @com_alibaba_yalangtinglibs://ylt
bazel version > 7
bazel build ylt --enable_bzlmodYou 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- install
cmake --install . # --prefix ./user_defined_install_path - start develop
- Use Cmake:
After install ylt, copy then open the directory src/*/examples, then:
mkdir build
cd build
cmake ..
cmake --build .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 0766d839fe52eb12ac7ecd34bc39a76399cfde41 # optional ( default master / 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)- Add
include/directory to include path(skip it if you have install ylt into default include path). - Add
include/ylt/thirdpartyto include path(skip it if you have install ylt by cmake). - Add
include/ylt/standaloneto include path(skip it if you have install ylt by cmake). - Enable
c++20standard by option-std=c++20(g++/clang++) or/std:c++20(msvc) - If you use any header with
coro_prefix, add link option-pthreadin linux, add option-fcoroutineswhen you use g++10.
For more details, see the cmake file here and there.
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 API] (TODO)
Talk (Chinese) of coro_rpc on purecpp conference.
Video (Chinese) on purecpp conference, start from 04:55:08 of the video record.
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.
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.
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 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.
reflection-based json lib, very easy to do struct to json and json to struct.
#include "ylt/struct_json/json_reader.h"
#include "ylt/struct_json/json_writer.h"
struct person {
std::string name;
int age;
};
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);
}reflection-based xml lib, very easy to do struct to xml and xml to struct.
#include "ylt/struct_xml/xml_reader.h"
#include "ylt/struct_xml/xml_writer.h"
struct person {
std::string name;
int age;
};
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;
}reflection-based yaml lib, very easy to do struct to yaml and yaml to struct.
#include "ylt/struct_yaml/yaml_reader.h"
#include "ylt/struct_yaml/yaml_writer.h"
struct person {
std::string name;
int age;
};
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 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
#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_status_and_content(status_type::ok, "ok");
});
server.set_http_handler<GET>(
"/coro",
[](coro_http_request &req,
coro_http_response &resp) -> async_simple::coro::Lazy<void> {
resp.set_status_and_content(status_type::ok, "ok");
co_return;
});
server.aync_start(); // aync_start() don't block, sync_start() will block.
std::this_thread::sleep_for(300ms); // wait for server start
coro_http_client client{};
auto result = co_await client.async_get("http://127.0.0.1:9001/get");
assert(result.status == 200);
assert(result.resp_body == "ok");
for (auto [key, val] : result.resp_headers) {
std::cout << key << ": " << val << "\n";
}
}
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));
}async_simple::coro::Lazy<void> websocket(coro_http_client &client) {
// connect to your websocket server.
bool r = co_await client.async_connect("ws://example.com/ws");
if (!r) {
co_return;
}
co_await client.write_websocket("hello websocket");
auto data = co_await client.read_websocket();
CHECK(data.resp_body == "hello websocket");
co_await client.write_websocket("test again");
data = co_await client.read_websocket();
CHECK(data.resp_body == "test again");
co_await client.write_websocket("ws close");
data = co_await client.read_websocket();
CHECK(data.net_err == asio::error::eof);
CHECK(data.resp_body == "ws close");
}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";
}A C++ 20 coroutine library offering simple, light-weight and easy-to-use components to write asynchronous codes. See async_simple
These option maybe useful for your project. You can enable it in your project if you import ylt by cmake fetchContent or find_package.
| option | default value | description |
|---|---|---|
| YLT_ENABLE_SSL | OFF | enable optional ssl support for rpc/http |
| YLT_ENABLE_PMR | OFF | enable pmr optimize |
| YLT_ENABLE_IO_URING | OFF | enable io_uring in linux |
| YLT_ENABLE_FILE_IO_URING | OFF | enable file io_uring as backend in linux |
| YLT_ENABLE_STRUCT_PACK_UNPORTABLE_TYPE | OFF | enable unportable type(like wstring, int128_t) for struct_pack |
| YLT_ENABLE_STRUCT_PACK_OPTIMIZE | OFF | optimize struct_pack by radical template unwinding(will cost more compile time) |
In default, yalantinglibs will install thirdparty librarys and standalone sublibrarires in your install path independently.
If you don't want to install the thirdparty librarys(you need install it manually), you can turn off cmake option -DINSTALL_THIRDPARTY=OFF.
If you want to install the thirdparty dependently. (install thirdparty librarys and standalone sublibrarires in ylt/thirdparty and ylt/standalone ), you can use turn off cmake option -DINSTALL_INDEPENDENT_THIRDPARTY=OFF and -DINSTALL_INDEPENDENT_STANDALONE=OFF.
| option | default value |
|---|---|
| INSTALL_THIRDPARTY | ON |
| INSTALL_STANDALONE | ON |
| INSTALL_INDEPENDENT_THIRDPARTY | ON |
| INSTALL_INDEPENDENT_STANDALONE | ON |
Those options only work in installation.
These CMake options is used for yalantinglibs developing/installing itself. They are not effected for your project, because ylt is a head-only.
| 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 |
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).
Those dependency will by install by default. you can control it by cmake option.
- asio
- async_simple
- openssl (optional)
No dependency.
No dependency.
No dependency.
coro_http is implemented by a standalone sublibrary cinatra
struct_json、struct_xml、struct_yaml are implemented by a standalone sublibrary iguana
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]see Build Website
- Create an issue in the issue template.
- Run tests and
git-clang-format HEAD^locally for the change. - Create a PR, fill in the PR template.
- Choose one or more reviewers from contributors: (e.g., qicosmos, poor-circle, PikachuHyA).
- Get approved and merged.
DingTalk group id: 645010455
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.