Book Image

Hands-On Reactive Programming with Reactor

By : Rahul Sharma
Book Image

Hands-On Reactive Programming with Reactor

By: Rahul Sharma

Overview of this book

Reactor is an implementation of the Java 9 Reactive Streams specification, an API for asynchronous data processing. This specification is based on a reactive programming paradigm, enabling developers to build enterprise-grade, robust applications with reduced complexity and in less time. Hands-On Reactive Programming with Reactor shows you how Reactor works, as well as how to use it to develop reactive applications in Java. The book begins with the fundamentals of Reactor and the role it plays in building effective applications. You will learn how to build fully non-blocking applications and will later be guided by the Publisher and Subscriber APIs. You will gain an understanding how to use two reactive composable APIs, Flux and Mono, which are used extensively to implement Reactive Extensions. All of these components are combined using various operations to build a complete solution. In addition to this, you will get to grips with the Flow API and understand backpressure in order to control overruns. You will also study the use of Spring WebFlux, an extension of the Reactor framework for building microservices. By the end of the book, you will have gained enough confidence to build reactive and scalable microservices.
Table of Contents (13 chapters)

Summary

This chapter focused on testing and debugging Reactor Streams. Testing Reactor Flux/Mono streams is complex, as each stream is evaluated lazily in an async manner. We also looked at StepVerifier, which can validate individual steps in isolation. Next, we looked at a virtual clock to validate time-sensitive operations, such as delays. We also looked at the PublisherProbe utility used to validate a Publisher's end state. Then, in order to unit test Reactive operators and stream business logic, we performed stubbing using TestPublisher. The next section was about debugging Reactor Streams to gain further knowledge about under-the-covers processing. Debugging Reactor streams is complex, since the operators are evaluated in an asynchronous manner. We looked at the Debug hook and checkpoint operator to generate an operator mapped error stacktrace. Finally, we looked at...