You will likely have moments where you want to take a series of emissions and consolidate them into a single emission (usually emitted through a Single). We will cover a few operators that accomplish this. Note that nearly all of these operators only work on a finite Observable that calls onComplete() because typically, we can consolidate only finite datasets. We will explore this behavior as we cover these operators.
Learning RxJava
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Learning RxJava
By:
Overview of this book
RxJava is a library for composing asynchronous and event-based programs using Observable sequences for the JVM, allowing developers to build robust applications in less time.
Learning RxJava addresses all the fundamentals of reactive programming to help readers write reactive code, as well as teach them an effective approach to designing and implementing reactive libraries and applications.
Starting with a brief introduction to reactive programming concepts, there is an overview of Observables and Observers, the core components of RxJava, and how to combine different streams of data and events together. You will also learn simpler ways to achieve concurrency and remain highly performant, with no need for synchronization. Later on, we will leverage backpressure and other strategies to cope with rapidly-producing sources to prevent bottlenecks in your application. After covering custom operators, testing, and debugging, the book dives into hands-on examples using RxJava on Android as well as Kotlin.
Table of Contents (14 chapters)
Preface
Free Chapter
Thinking Reactively
Observables and Subscribers
Basic Operators
Combining Observables
Multicasting, Replaying, and Caching
Concurrency and Parallelization
Switching, Throttling, Windowing, and Buffering
Flowables and Backpressure
Transformers and Custom Operators
Testing and Debugging
RxJava on Android
Using RxJava for Kotlin New
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