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Learning RxJava

You're reading from   Learning RxJava Build concurrent applications using reactive programming with the latest features of RxJava 3

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Product type Paperback
Published in Feb 2020
Publisher Packt
ISBN-13 9781789950151
Length 412 pages
Edition 2nd Edition
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Authors (2):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Toc

Table of Contents (22) Chapters Close

Preface 1. Section 1: Foundations of Reactive Programming in Java
2. Thinking Reactively FREE CHAPTER 3. Observable and Observer 4. Basic Operators 5. Section 2: Reactive Operators
6. Combining Observables 7. Multicasting, Replaying, and Caching 8. Concurrency and Parallelization 9. Switching, Throttling, Windowing, and Buffering 10. Flowable and Backpressure 11. Transformers and Custom Operators 12. Section 3: Integration of RxJava applications
13. Testing and Debugging 14. RxJava on Android 15. Using RxJava for Kotlin 16. Other Books You May Enjoy Appendix A: Introducing Lambda Expressions 1. Appendix B: Functional Types 2. Appendix C: Mixing Object-Oriented and Reactive Programming 3. Appendix D: Materializing and Dematerializing 4. Appendix E: Understanding Schedulers

Reducing operators

You will likely have moments when you need to take a series of emitted values and aggregate them into a single value (usually emitted through a Single). We will cover a few operators that accomplish this. Note that nearly all of these operators only work on a finite Observable that calls onComplete() because, typically, we can aggregate only finite datasets. We will explore this behavior as we cover these operators.

count()

The count() operator counts the number of emitted items and emits the result through a Single once onComplete() is called. Here is an example:

import io.reactivex.rxjava3.core.Observable;

public class Ch3_22 {
public static void main(String[] args) {
Observable.just("Alpha...
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