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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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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

Testing with the aggregate operators and the BlockingObservable class


Using the operators and methods learned in the previous two sections, we are able to rework the test we've written to look like this:

@Test
public void testUsingBlockingObservable() {
  List<String> result = tested
    .toList()
    .toBlocking()
    .single();
  Assert.assertEquals(expected, result);
}

There is no boilerplate code here. We retrieve all the items emitted as a list and compare them to the expected list.

Using the BlockingObsevables class and the aggregate operators is pretty useful in most cases. While testing asynchronous Observable instances, which emit long, slow sequences, they are not so useful though. It is not good practice to block the test cases for a long time: slow tests are bad tests.

Note

The source code for the preceding test can be found at https://github.com/meddle0x53/learning-rxjava/blob/master/src/test/java/com/packtpub/reactive/chapter07/SortedObservableTest.java—this is the second...

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