Giriş
Spring tarafından geliştirilen
Reactive Streams Specification uyumlu bir
altyapı. RxJava ile aynı şeyi yapar. Spring 5 ve Java 8+ ile çalışır.
Açıklaması
şöyle.
There's Spring Reactive, Akka, and Vertx, but they work off a single threaded event loop (though they do have Schedulers, which are really a workaround to allow multi-threading).
WebFlux offers two programming models:
- annotated controllers
- functional endpoints
@EnableWebFlux Anotasyonu
If you want to keep Spring Boot WebFlux features and you want to add additional WebFlux configuration, you can add your own @Configuration class of type WebFluxConfigurer but without @EnableWebFlux.
If you want to take complete control of Spring WebFlux, you can add your own @Configuration annotated with @EnableWebFlux.
Maven
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-webflux</artifactId>
</dependency>
Spring gelişimi içindeki tarihçesi
şöyle. Yani 2017 yılından itibaren Reactive desteği bulunuyor.
WebFlux WebServer Olarak Altta Netty Kullanır
Netty is the default web server for Spring WebFlux applications (not Jetty or Tomcat, which are typical for SpringMVC). Since the Spring team designed WebFlux to be asynchronous and event-driven, Netty is the obvious choice because it uses the exact same model.
Ancak istenirse Tomcat kullanılabilir. Açıklaması
şöyle
WebFlux is supported on Tomcat, Jetty, Servlet 3.1+ containers, as well as on non-Servlet runtimes such as Netty and Undertow. Netty is most commonly used for async and non-blocking designs, so WebFlux will default to that. You can easily switch between these server options with a simple change to your Maven or Gradle build software.
This makes WebFlux highly versatile in what technologies it can work with and allows you to easily implement it with existing infrastructure.
The reactive streams specification has many implementations. Project Reactor is one of the implementations. The Reactor is fully non-blocking and provides efficient demand management. The Reactor offers two reactive and composable APIs, Flux [N], and Mono [0|1], which extensively implement Reactive Extensions. Reactor offers Non-Blocking, backpressure-ready network engines for HTTP (including Websockets), TCP, and UDP. It is well-suited for a microservices architecture.
- Project Reactor is VMware/Spring’s implementation of Reactive Streams.
- RxJava is Netflix’s implementation.
Project Reactor Java 8+ ile kullanılır. Açıklaması
şöyle.
Reactor on the other hand is Java 8+ only, so it can make full use of the new Java 8 native classes. Since Spring 5.0 is also Java 8+ only, that means Reactor has the edge in this regard.
Project Reactor impot'ları için şöyle
yaparız
import reactor.core.publisher.Flux;
import reactor.core.publisher.Mono;
Project Reactor Subscriber Nedir
Subscriber: Receives and processes events emitted by Publisher. Multiple Subscribers can link to a single Publisher and respond differently to the same event. Subscribers can be set to react:
- onNext, when it receives the next event.
- onSubscribe, when a new subscriber is added
- onError, when an error occurs with another subscriber
- onComplete, when another subscriber finishes its task
Project Reactor Flux Nedir
[0-N) arası nesne
üretir.
Flux Sınıfı yazısına taşıdım.
Project Reactor Mono Nedir
Mono Sınıfı yazısına taşıdım.
Flux ve Monu'nun Farkları Nedir
Açıklaması
şöyle.
First, it should be noted that both a Flux and Mono are implementations of the Reactive Streams Publisher interface. Both classes are compliant with the specification, and we could use this interface in their place:
Spring Reactive JPA İle Birlikte Çalışmıyor
Açıklaması
şöyle. Bunun yerine ReactiveCrudRepository'den kalıtan sınıfları kullanmak lazım.
MongoDB Reactive yazısına bakabilirsiniz. Ayrıca
Integrating Hibernate Reactive with Spring yazısına bakabilirsiniz.
For example, say we choose Spring Reactive. Yay, we can make concurrent asynchronous calls out to various microservices. We can also use the latest in NoSQL data stores. This was all a great decision. However, over time, we realize that we have a small amount of data where integrity of the data is very important. We find that we want to use a relational database to solve this and then incorporate JPA on this database for easier interaction. However, our choice of Spring Reactive has disallowed this because it requires all I/O to be asynchronous (JPA is synchronous database calls).