Book Image

Reactive Programming With Java 9

By : Tejaswini Mandar Jog
Book Image

Reactive Programming With Java 9

By: Tejaswini Mandar Jog

Overview of this book

<p>Reactive programming is an asynchronous programming model that helps you tackle the essential complexity that comes with writing such applications.</p> <p>Using Reactive programming to start building applications is not immediately intuitive to a developer who has been writing programs in the imperative paradigm. To tackle the essential complexity, Reactive programming uses declarative and functional paradigms to build programs. This book sets out to make the paradigm shift easy.</p> <p>This book begins by explaining what Reactive programming is, the Reactive manifesto, and the Reactive Streams specifi cation. It uses Java 9 to introduce the declarative and functional paradigm, which is necessary to write programs in the Reactive style. It explains Java 9’s Flow API, an adoption of the Reactive Streams specifi cation. From this point on, it focuses on RxJava 2.0, covering topics such as creating, transforming,fi ltering, combining, and testing Observables. It discusses how to use Java’s popular framework, Spring, to build event-driven, Reactive applications. You will also learn how to implement resiliency patterns using Hystrix. By the end, you will be fully equipped with the tools and techniques needed to implement robust, event-driven, Reactive applications.</p>
Table of Contents (12 chapters)
Free Chapter
1
Introduction to Reactive Programming

Summary

The enterprise application developed by the developers may be distributed over the network. These distributed applications may have dependencies. Under normal conditions, these dependencies can be fetched successfully. However, sometimes, these dependencies may fail, causing the failure of the application due to various reasons. In this chapter, we discussed the Hystrix framework that enables developers to control the interactions between the distributed services along with additional support for latency and fault tolerance. We discussed the working of Hystrix using HystrixCommand or HystrixObservableCommand to present the request we are making to the dependency using the execute(), queue(), observe(), and toObservables() methods. However, due to network problems, increase in the load on service, timeout, and thread pool rejection, these methods may throw an exception...