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

We used lots of operators to create, transform, and merge an Observable in many ways, keeping in mind RxJava supports asynchronous Reactive Programming. We expected the operators provided by the RxJava library to be using multithreading internally. However, in the first half of this chapter, we proved the operators are not using multiple threads. They use a single thread to execute the complete process of the creation of an Observable emitting the items, the processing of the emitted items, and then their subscription. In the second half, we discussed concurrency, how to achieve it, and the difference between concurrency and parallelism. We know creating threads and handling processes using the created threads adds overhead to the developers. We now need to schedule the process of emission, transformation, and subscription on different threads. RxJava provides a Scheduler...