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Learning RxJava

Learning RxJava - Second Edition

By : Nick Samoylov, Nield
4.8 (4)
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Learning RxJava

Learning RxJava

4.8 (4)
By: Nick Samoylov, Nield

Overview of this book

RxJava is not just a popular library for building asynchronous and event-based applications; it also enables you to create a cleaner and more readable code base. In this book, you’ll cover the core fundamentals of reactive programming and learn how to design and implement reactive libraries and applications. Learning RxJava will help you understand how reactive programming works and guide you in writing your first example in reactive code. You’ll get to grips with the workings of Observable and Subscriber, and see how they are used in different contexts using real-world use cases. The book will also take you through multicasting and caching to help prevent redundant work with multiple Observers. You’ll then learn how to create your own RxJava operators by reusing reactive logic. As you advance, you’ll explore effective tools and libraries to test and debug RxJava code. Finally, you’ll delve into RxAndroid extensions and use Kotlin features to streamline your Android apps. By the end of this book, you'll become proficient in writing reactive code in Java and Kotlin to build concurrent applications, including Android applications.
Table of Contents (22 chapters)
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1
Section 1: Foundations of Reactive Programming in Java
5
Section 2: Reactive Operators
12
Section 3: Integration of RxJava applications
1
Appendix A: Introducing Lambda Expressions
2
Appendix B: Functional Types
5
Appendix E: Understanding Schedulers

Summary

In this chapter, you learned about Flowable and backpressure and the situations in which they should be preferred over an Observable. A Flowable is especially useful when the application uses concurrency and a lot of data can flow through it, as it regulates how much data comes from the source at a given time. Some Flowable objects, such as Flowable.interval() or those derived from an Observable, do not have backpressure implemented. In these situations, you can use onBackpressureXXX() operators to queue or drop emissions for the downstream. If you are creating your own Flowable source from scratch, prefer to use the existing Flowable factories. If that fails, use Flowable.generate() instead of Flowable.create().

If you have reached this point and have understood most of the content in this book so far, congratulations! You have all the core concepts of RxJava in your...

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Learning RxJava
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