Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Jun 2015
Publisher Packt
ISBN-13 9781785288722
Length 182 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Nickolay Tzvetinov Nickolay Tzvetinov
Author Profile Icon Nickolay Tzvetinov
Nickolay Tzvetinov
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. An Introduction to Reactive Programming 2. Using the Functional Constructions of Java 8 FREE CHAPTER 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...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime