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- 🎉 Welcome the new oatpp version
1.3.0. Now it's better than ever! See the changelog for details. 🎉
Oat++ is a modern Web Framework for C++. It's fully loaded and contains all necessary components for effective production level development. It's also light and has a small memory footprint.
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- Latest Benchmarks: 5 Million WebSockets
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- Oat++ High Level Overview - Get a quick overview of Oat++ features.
- Example Project - A complete example of a "CRUD" service (UserService) built with Oat++. REST + Swagger-UI + SQLite.
See ApiController for more details.
ENDPOINT_INFO(getUserById) {
info->summary = "Get one User by userId";
info->addResponse<Object<UserDto>>(Status::CODE_200, "application/json");
info->addResponse<Object<StatusDto>>(Status::CODE_404, "application/json");
info->addResponse<Object<StatusDto>>(Status::CODE_500, "application/json");
info->pathParams["userId"].description = "User Identifier";
}
ENDPOINT("GET", "users/{userId}", getUserById,
PATH(Int32, userId))
{
return createDtoResponse(Status::CODE_200, m_userService.getUserById(userId));
}See Oat++ ORM for more details.
QUERY(createUser,
"INSERT INTO users (username, email, role) VALUES (:username, :email, :role);",
PARAM(oatpp::String, username),
PARAM(oatpp::String, email),
PARAM(oatpp::Enum<UserRoles>::AsString, role))- "Oat" is something light, organic, and green. It can be easily cooked and consumed with no effort.
- "++" gives a hint that it is "something" for C++.
Oat++ is used for many different purposes, from building REST APIs that run on embedded devices to building microservices and highly-loaded cloud applications.
But the majority of use cases appears to be in IoT and Robotics.
Theoretically, Oat++ can be easily ported everywhere where you have threads and network stack. With an additional comparably small effort, it can be ported almost everywhere depending on how much you strip it and what would be the final binary size.
See supported platforms for additional info.
About 1Mb, depending on C/C++ std-lib and oatpp version.
Always choose Simple API wherever possible. Simple API is more developed and makes the code cleaner.
Async API is designed for small, specific tasks that run at high concurrency levels ex.:
- Serving file downloads to a large number of concurrent users (1K users and more).
- Streaming to a large number of clients (1K or more).
- Websocket Chat servers.
F 8000 or all other purposes use simple API.
- REST Service - A complete example of a "CRUD" service (UserService) built with Oat++. REST + Swagger-UI + SQLite.
- REST Client - Example project of how-to use Retrofit-like client wrapper (ApiClient) and how it works.
- Can Chat - Feature-complete rooms-based chat for tens of thousands users. Client plus Server.
- WebSocket - Collection of oatpp WebSocket examples.
- YUV Websocket Stream - Example project how-to create a YUV image stream from a V4L device (i.E. Webcam) using websockets.
- SQLite - A complete example of a "CRUD" service. REST + Swagger-UI + SQLite.
- PostgreSQL - Example of a production-grade entity service storing information in PostgreSQL. With Swagger-UI and configuration profiles.
- MongoDB - Example project how to work with MongoDB using oatpp-mongo mondule. Project is a web-service with basic CRUD and Swagger-UI.
- Example-IoT-Hue - Example project how-to create an Philips Hue compatible REST-API that is discovered and controllable by Hue compatible Smart-Home devices like Amazon Alexa or Google Echo.
- HTTP Live Streaming Server - Example project on how to build an HLS-streaming server using Oat++ asynchronous API.
- YUV Websocket Stream - Example project how-to create a YUV image stream from a V4L device (i.E. Webcam) using websockets.
- TLS With Libressl - Example project how-to setup secure connection and serve via HTTPS.
- Consul Integration - Example project on how to use oatpp::consul::Client. Consul integration.
- Microservices - Example project on how to build microservices with Oat++, and example on how to consolidate those microservices using monolithization technique.
- Async Service - Example project on how to use asynchronous API to handle a large number of simultaneous connections.