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Clement Escoffier - Reactive Systems in Java

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Clement Escoffier Reactive Systems in Java

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Reactive Systems in Java by Clement Escoffier and Ken Finnigan Copyright 2021 - photo 1
Reactive Systems in Java

by Clement Escoffier and Ken Finnigan

Copyright 2021 Clement Escoffier and Ken Finnigan. All rights reserved.

Printed in the United States of America.

Published by OReilly Media, Inc. , 1005 Gravenstein Highway North, Sebastopol, CA 95472.

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  • January 2022: First Edition
Revision History for the Early Release
  • 2021-04-20: First Release
  • 2021-08-02: Second Release

See http://oreilly.com/catalog/errata.csp?isbn=9781492091653 for release details.

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978-1-492-09165-3

[FILL IN]

Part I. Reactive and Quarkus Introduction
Chapter 1. Reactive in a nutshell
A Note for Early Release Readers

With Early Release ebooks, you get books in their earliest formthe authors raw and unedited content as they writeso you can take advantage of these technologies long before the official release of these titles.

This will be the 1st chapter of the final book. Please note that the GitHub repo will be made active later on.

If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material within this chapter, please reach out to the authors at (Ken Finnigan).

Reactive is an overloaded word.If you are reading this book, you probably searched for reactive with a search engine to understand what its all about.If you didnt, no worries, you save yourself from a lot of confusion.There are many reactive things: reactive systems, reactive programming, reactive extensions, reactive messaging.Every day new ones pop up.Are all these reactives the same reactive?Are they different?

These are the questions we are going to answer in this chapter.We are going to sneak a peek at the reactive landscape to identify and understand these different nuances of reactive, what they mean, the concepts associated with them, and how do they relate to each other.Because yes, without spoiling too much, all these reactives are related.

Note

As said in the preface, in this book, we use the noun Reactive, with an uppercase R, to aggregate all the various facets of the reactive landscape, such as reactive programming, reactive systems, reactive streams, and so on.

What do we mean by reactive?

Lets start at the beginning.Forget about software and IT for a few minutes, and use an out-of-fashion approach.If we look for reactive in the Oxford dictionary, we find the following definition:

*reactive*ADJECTIVE1. Showing a response to a stimulus.1.1 Acting in response to a situation rather than creating or controlling it.1.2 Having a tendency to react chemically.1.3 (Physiology) Showing an immune response to a specific antigen.1.4 (of a disease or illness) caused by a reaction to something.1.5 (Physics) Relating to reactance.

Among these definitions, two are relevant in our context.The first definition, showing a response to a stimulus, refers to some kind of reaction.Being reactive means reacting to stimuli, whatever they are.Sub-definition 1.1 says that being reactive is also about facing unexpected and uncontrolled situations.We will see along with this book, that Cloud-Native applications, and distributed systems in general, face plenty of such kind of situation.

But, while these definitions are interesting, they dont apply to software.So, lets make one.Taking these definitions into account, we can add a new one specific to software:

1.6 (Software) Application reacting to stimuli, such as user events, requests,and failures.

But, we will see in this book that todays reactive goes beyond this.Reactive is an approach to design, implement, and reason about your system in term of events and flows.Reactive is about building responsive, resilient, and elastic applications.Reactive is also about resource utilization through efficient management of resources and communication.

To put another way: Reactive is about designing and building better distributed systems.More robust, more efficient.We call them: reactive systems.

Reactive software is not new!

But wait, the definition (1.6) we just gave; its not groundbreaking.On the contrary, it looks dj-vu, no?

Isnt the nature of software to react to user inputs, and operating systems signals?How does a software behave when you hit a keystroke, it reacts.So, why so many books, talks and debate about it if its just regular software?Please be patient; there is a bit more about it.

But you are right; Reactive is not new.Its actually pretty old.We can track the foundation of the ideas behind reactive software just after the apparition of computers in the 50s.The DYSEAC, a first-generation computer (in operation in 1954), was already using hardware interrupts as an optimization, eliminating waiting time in polling loops, waiting for external events.This computer was one of the first systems to use reactive and event-driven architecture!

Reacting to events implies being event-driven.Event-driven software receives and produces events.The received events determine the flow of the program.A fundamental aspect of this event-driven aspect is the asynchronous nature of event-driven architecture.You dont know when you are going to receive events.It is precisely the (1.1) definition from the previous section.You cannot plan when you will receive events; you are not in control of which events you will get; you need to be prepared to handle them.

Thats the essence of being reactive: being asynchronous.

The reactive landscape

From this idea of being asynchronous and event-driven, many forms of Reactive have emerged.The reactive landscape is broad and crowded.

But dont forget our objective: building better distributed systems - reactive systems.The other reactives are here to help us implement these systems.

The reasons for Reactive, and reactive systems in particular, come from distributed systems.As we will see in introducing the concept of reactive systems.

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