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Learning Reactive Programming With Java 8

You're reading from   Learning Reactive Programming With Java 8 Learn how to use RxJava and its reactive Observables to build fast, concurrent, and powerful applications through detailed examples

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Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781785288722
Length 182 pages
Edition 1st Edition
Languages
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Author (1):
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Nickolay Tzvetinov Nickolay Tzvetinov
Author Profile Icon Nickolay Tzvetinov
Nickolay Tzvetinov
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Table of Contents (10) Chapters Close

Preface 1. An Introduction to Reactive Programming FREE CHAPTER 2. Using the Functional Constructions of Java 8 3. Creating and Connecting Observables, Observers, and Subjects 4. Transforming, Filtering, and Accumulating Your Data 5. Combinators, Conditionals, and Error Handling 6. Using Concurrency and Parallelism with Schedulers 7. Testing Your RxJava Application 8. Resource Management and Extending RxJava Index

Implementing the reactive sum example with lambdas

So this time, our main piece of code will be quite similar to the previous one:

ConnectableObservable<String> input = CreateObservable.from(System.in);

Observable<Double> a = varStream("a", input);
Observable<Double> b = varStream("b", input);

reactiveSum(a, b); // The difference

input.connect();

The only difference is that we are going to take a more functional approach in calculating our sum and not to keep the same state. We won't be implementing the Observer interface; instead, we are going to pass lambdas to subscribe. This solution is much cleaner.

The CreateObservable.from(InputStream) method is a lot like we used previously. We will skip it and look at the Observable<Double> varStream(String, Observable<String>) method, which creates the Observable instances representing the collectors:

public static Observable<Double> varStream(
  final String name, Observable<String...
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