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

Operator fusion

Reactive programming has collection of operators which mainly enable the developers to handle, modify, filter, and transform the data emitted by the source. The list of operators is unending. You can also consider the operators as predefined functions, taking lots of load from the developer's shoulder. It's always great to spend some time in understanding the operator and their functionalities. Studying them is good, but unfortunately we hardly find a perfect match of the operator for the data transformation which matches the requirements. Don't worry! Single operators don't match, so let's combine them.

The developers can use two or more operators and combine them in such a way that the memory and time overhead reduces while handling the data flow known as operator fusion. While performing the data fusion we must keep the following things...