For details, the reactive HTTP framework technical principles in the Java library

Reacting programming is an asynchronous and event -based programming model that is suitable for applications with higher requirements for concurrent and scalability.An important aspect of reaction programming is the reaction HTTP framework, which can handle HTTP requests and responses in an efficient and scalable way. The Java class library provides a variety of reactive HTTP framework technology, such as Spring Webflux, Vert.x, and Reactor.These frameworks are based on the Reactive Streams standard. This standard defines a set of APIs and protocols to achieve asynchronous flow processing.The principle of Spring Webflux is described in detail below as the principle of reaction HTTP framework. Spring Webflux is a module of Spring Framework. It realizes the reaction programming model based on the Reactor library.Its core principle is to handle HTTP requests and responses using event drive and asynchronous non -blocking.The following is the working principle of Spring Webflux: 1. Response programming model: Spring Webflux uses a model processing request called reactive programming.It is based on the release-subscription mode, requesting the form of being packaged into streams and passed in the stream.The request can be imagined as a series of ever -generated events, and the application subscribe to these events by registering the corresponding processor (Handler). 2. Function routing and processing: Spring Webflux uses a routing function to define the processing logic of the request.This is implemented by using Router Functions, where the predicate, path, and processor can be used to map the request to the corresponding processing function.The route function can match and filter according to the features of the request, and then forward the request to the appropriate processing function for processing. 3. Non -blocking I/O: Spring Webflux uses asynchronous non -blocking I/O models to process requests.It uses the event drive mechanism provided by underlying technologies such as Java NiO or Netty to use asynchronous processing requests and response data to block threads.In this way, it can make full use of thread resources to improve the concurrent capacity and throughput of the system. 4. Response data stream: WebFlux framework supports processing flow data in a response.It process the data stream through the operators and methods provided by Flux and Mono.Flux represents the stream of 0 to n data, and Mono represents the flow of 0 to 1 data.Developers can apply various operators in the response data stream, such as filtering, conversion, mergers, etc. 5. Asynchronous harmony: Spring Webflux makes full use of the asynchronous and concurrent processing capabilities to improve the throughput of the system by reducing the blocking time.It follows the response programming model so that the application can easily process a large number of concurrent requests without having to allocate an independent thread for each request. Below is a simple example code that demonstrates how to use Spring Webflux to process HTTP requests: // Import the required class import org.springframework.web.reactive.function.server.*; import reactor.core.publisher.Mono; // Define the processing function public class HelloHandler { public Mono<ServerResponse> hello(ServerRequest request) { String name = request.queryParam("name").orElse("World"); return ServerResponse.ok().body(Mono.just("Hello, " + name + "!"), String.class); } } // Define routing public class HelloRouter { public RouterFunction<ServerResponse> route(HelloHandler handler) { return RouterFunctions .route(RequestPredicates.GET("/hello"), handler::hello); } } // Start the web server public class Application { public static void main(String[] args) { HelloHandler handler = new HelloHandler(); HelloRouter router = new HelloRouter(); RouterFunction<ServerResponse> route = router.route(handler); HttpHandler httpHandler = RouterFunctions.toHttpHandler(route); ReactorHttpHandlerAdapter adapter = new ReactorHttpHandlerAdapter(httpHandler); HttpServer.create(8080).handle(adapter).bindNow(); } } In this example, we first define a processing function `Hello` for processing`/Hello` requests, and return the corresponding message according to the query parameter.Then, we map the request to the processing function by defining the routing function `route`.Finally, create a web server in the `main` method, convert the route function to HTTPHANDLER, and bind it to the specified port. The above code demonstrates the basic principles and usage methods of Spring Webflux.Developers can configure and expand them according to actual needs to achieve more complex response HTTP applications.