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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
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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
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Index
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Index

Chapter 4. Transforming, Filtering, and Accumulating Your Data

Now that we have the means for creating Observable instances from a wide variety of source data, it's time to build programming logic around these instances. We will present the basic reactive operators that we'll use to achieve step-by-step computations (the reactive way of handling data).

We will begin with transformations, using the famous flatMap() and map() operators, as well as some more less common transforming operators. After that we'll learn how to filter our data, using the filter() operator, skipping elements, receiving only elements at a given position in time. The chapter will also cover accumulating data with the scan operator. Most of these operators will be presented using marble diagrams.

This chapter covers the following topics:

  • Introduction to marble diagrams and transformations with mapping
  • Filtering your data
  • Accumulating values using the scan operator
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Learning Reactive Programming With Java 8
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