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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

RxJava's schedulers


The schedulers are the RxJava's way of achieving concurrency. They are in charge of creating and managing the threads for us (internally relying on Java's threadpool facilities). We won't be dealing with Java's concurrency API and its quirks and complexities. We've been using the schedulers all along, implicitly with timers and intervals, but the time has come to master them.

Let's recall the Observable.interval factory method, which we introduced back in Chapter 3, Creating and Connecting Observables, Observers, and Subjects. As we saw before, RxJava is single-threaded by default, so in most cases, calling the subscribe method on the Observable instance will block the current thread. But that is not the case with the interval Observable instances. If we look at the JavaDoc of the Observable<Long> interval(long interval, TimeUnit unit) method, we'll see that it says that the Observable instance created by it operates on something called 'the computation Scheduler...

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