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  • Book Overview & Buying Learning Reactive Programming With Java 8
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Learning Reactive Programming With Java 8

Learning Reactive Programming With Java 8

By : Nickolay Tzvetinov
3.6 (5)
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Learning Reactive Programming With Java 8

Learning Reactive Programming With Java 8

3.6 (5)
By: Nickolay Tzvetinov
Buy this Book

Overview of this book

If you are a Java developer that knows how to write software and would like to learn how to apply your existing skills to reactive programming, this book is for you.
Table of Contents (10 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. An Introduction to Reactive Programming
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1. An Introduction to Reactive Programming
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What is reactive programming?
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Why should we be reactive?
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Introducing RxJava
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Summary
2
2. Using the Functional Constructions of Java 8
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2. Using the Functional Constructions of Java 8
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Lambdas in Java 8
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Implementing the reactive sum example with lambdas
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Pure functions and higher order functions
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Summary
3
3. Creating and Connecting Observables, Observers, and Subjects
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3. Creating and Connecting Observables, Observers, and Subjects
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The Observable.from method
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The Observable.just method
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Other Observable factory methods
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The Observable.create method
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Subscribing and unsubscribing
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Hot and cold Observable instances
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The Subject instances
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Summary
4
4. Transforming, Filtering, and Accumulating Your Data
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4. Transforming, Filtering, and Accumulating Your Data
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Observable transformations
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Filtering data
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Accumulating data
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Summary
5
5. Combinators, Conditionals, and Error Handling
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5. Combinators, Conditionals, and Error Handling
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Combining the Observable instances
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The conditional operators
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Handling errors
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An HTTP client example
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Summary
6
6. Using Concurrency and Parallelism with Schedulers
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6. Using Concurrency and Parallelism with Schedulers
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RxJava's schedulers
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Buffering, throttling, and debouncing
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Summary
7
7. Testing Your RxJava Application
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7. Testing Your RxJava Application
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Testing using simple subscription
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The BlockingObservable class
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The aggregate operators and the BlockingObservable class
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Testing with the aggregate operators and the BlockingObservable class
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Using the TestSubscriber class for in-depth testing
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Testing asynchronous Observable instances with the help of the TestScheduler class
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Summary
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8. Resource Management and Extending RxJava
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8. Resource Management and Extending RxJava
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Resource management
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Caching data with Observable.cache
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Creating custom operators with lift
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Composing multiple operators with the Observable.compose operator
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Summary
9
Index
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Index

Handling errors

When dealing with errors in RxJava, you should be aware that they terminate the Observable chain of actions. Much like with your normal procedural code, once you are in the catch block, you can't go back to the code that has thrown the exception. You can execute some backup logic though and use it instead of failing the program. The return*, retry*, and resume* operators do something similar.

The return and resume operators

The onErrorReturn operator can be used in order to prevent the Subscriber instance's onError from being called. Instead, it will emit one last item and complete. Here is an example:

Observable<String> numbers = Observable
  .just("1", "2", "three", "4", "5")
  .map(Integer::parseInt)
  .onErrorReturn(e -> -1);
  subscribePrint(numbers, "Error returned");

The Integer::parseInt method will succeed in converting the strings 1 and 2 to Integer values, but it will fail on three with a NumberFormatException exception. This exception will be passed to the...

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Learning Reactive Programming With Java 8
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