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)

Chapter 8: Handling Errors

  1. How is an error handled in Reactor?

Errors arise when either the publisher or the subscriber throws back an exception. Reactor intercepts the exception, builds an Error event, and then sends it to the subscriber. The subscriber must implement ErrorCallbackHandler to handle the error.

  1. Which operators allow us to configure error handling?
  • onErrorReturn
  • onErrorResume
  • onErrorMap
  1. What is the difference between onErrorResume and onErrorReturn?

The OnErrorReturn operator provides a fall-back value in the event of an error. On the other hand, the OnErrorResume operator provides a fall-back value stream instead of a single fall-back value.

  1. How can we generate a timely response for a Reactive Streams?

The timeout() operator can be configured for a time interval. The operator will raise an error when it first discovers a delay of more than the configured...