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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

Manipulating time with the TestScheduler

In our previous examples, did you notice that testing a time-driven Observable or Flowable requires that time to elapse before the test completes? In the last exercise, we took five emissions from an Observable.interval() emitting every 1 second, so that test took 5 seconds to complete. If we have a lot of unit tests that deal with time-driven sources, it can take a long time for testing to complete. Would it not be nice if we could simulate time elapses rather than experiencing them?

The TestScheduler does exactly this. It is a Scheduler implementation that allows us to fast-forward by a specific amount of elapsed time, and we can do any assertions after each fast-forward to see what events have occurred.

Here, we create a test against Observable.interval() that emits every minute and ultimately asserts that 90 emissions have occurred...

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