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Learning RxJava

Learning RxJava

By : Nield
5 (10)
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Learning RxJava

Learning RxJava

5 (10)
By: Nield

Overview of this book

RxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time. Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications. Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin.
Table of Contents (14 chapters)
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When to use RxJava

A common question ReactiveX newcomers ask is what circumstances warrant a reactive approach? Do we always want to use RxJava? As someone who has been living and breathing reactive programming for a while, I have learned that there are two answers to this question:

The first answer is when you first start out: yes! You always want to take a reactive approach. The only way to truly become a master of reactive programming is to build reactive applications from the ground up. Think of everything as Observable and always model your program in terms of data and event flows. When you do this, you will leverage everything reactive programming has to offer and see the quality of your applications go up significantly.

The second answer is that when you become experienced in RxJava, you will find cases where RxJava may not be appropriate. There will occasionally be times where a reactive approach may not be optimal, but usually, this exception applies to only part of your code. Your entire project itself should be reactive. There may be parts that are not reactive and for good reason. These exceptions only stand out to a trained Rx veteran who sees that returning List<String> is perhaps better than returning Observable<String>.

Rx greenhorns should not worry about when something should be reactive versus something not reactive. Over time, they will start to see cases where the benefits of Rx are marginalized, and this is something that only comes with experience.

So for now, no compromises. Go reactive all the way!

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