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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

Composing multiple operators with the Observable.compose operator


The compose() operator has one parameter of type Transformer. The Transformer interface, like the Operator one, is an empty interface that extends Func1 (this approach hides the type complexities that are involved by using Func1). The difference is that it extends the Func1<Observable<T>, Observable<R>> method, so that it transforms an Observable and not a Subscriber. This means that, instead of operating on each individual item emitted by the source observable, it operates directly on the source.

We can illustrate the use of this operator and the Transformer interface through an example. First, we will create a Transformer implementation:

public class OddFilter<T> implements Transformer<T, T> {
  @Override
  public Observable<T> call(Observable<T> observable) {
    return observable
      .lift(new Indexed<T>(1L))
      .filter(pair -> pair.getLeft() % 2 == 1)
      .map(pair...
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