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

In this chapter, we discussed the flow control operators that are available in Reactor in detail. We looked at the different overload options that are available in the groupBy, buffer, and window operators. We then considered how we can throttle events using the sample operator, which allows only a single event to be delivered in the specified time interval. After that, we recapped the support for backpressure that is available in Reactor and studied the different overflow strategies that it provides. We also learned that Reactor uses the Overflow.Buffer strategy by default, which can be provided as part of the Flux.create API. Finally, we discussed the backpressure operators that can be used to alter the strategy of the producer. To sum up, we discussed the complete list of operators available for flow control and backpressure. In the next chapter we will look at handling...