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Learning RxJava

You're reading from   Learning RxJava Reactive, Concurrent, and responsive applications

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Product type Paperback
Published in Jun 2017
Publisher Packt
ISBN-13 9781787120426
Length 400 pages
Edition 1st Edition
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Author (1):
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Thomas Nield Thomas Nield
Author Profile Icon Thomas Nield
Thomas Nield
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Table of Contents (14) Chapters Close

Preface 1. Thinking Reactively FREE CHAPTER 2. Observables and Subscribers 3. Basic Operators 4. Combining Observables 5. Multicasting, Replaying, and Caching 6. Concurrency and Parallelization 7. Switching, Throttling, Windowing, and Buffering 8. Flowables and Backpressure 9. Transformers and Custom Operators 10. Testing and Debugging 11. RxJava on Android 12. Using RxJava for Kotlin New Appendix

Understanding Schedulers

As discussed earlier, thread pools are a collection of threads. Depending on the policy of that thread pool, threads may be persisted and maintained so they can be reused. A queue of tasks is then executed by that thread pool.

Some thread pools hold a fixed number of threads (such as the  computation() one we used earlier), while others dynamically create and destroy threads as needed. Typically in Java, you use an ExecutorService as your thread pool. However, RxJava implements its own concurrency abstraction called Scheduler.  It define methods and rules that an actual concurrency provider such as an ExecutorService or actor system must obey. The construct flexibly makes RxJava non-opinionated on the source of concurrency.

Many of the default Scheduler implementations can be found in the Schedulers static factory class. For a given Observer...

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