Gain insights into RxJava's principles, explore its integration into Android, and discover why it’s the leading reactive library for enhanced app development.

Reactive Programming on Android with RxJava_468 x 60 copy 2.png

tarball.tar.gz

RxJava

Since its inception in 2012, RxJava has slowly gained in popularity for enabling reactive programming on Android. It is now deemed as the go-to and leading reactive library. Many companies have adopted the reactive way of programming, including Google, with its release of Android Architecture Components, which has many reactive elements in its design.

In this course, you will learn the fundamental principles of RxJava which will serve as a foundation for experienced Android developers who are new to the library and want to start integrating it into their apps.

Reactive Programming with RxJava

So far, we have looked at ways to introduce multithreading through the use of `Schedulers` along with the `.subscribeOn()` and `.observeOn()` operators. To achieve true concurrency, however, these operators alone are not sufficient.

# The basics of true concurrency

If you noticed in our example of using `.subscribeOn()`, events received from upstream are not processed on separate threads. All emissions were executed on the same thread, `RxCachedThreadScheduler-1`. To achieve true concurrency, we need the help of `.flatMap()`.


# Example
Say, for example, we wanted to get the corresponding `User` object given a list of usernames. We define the following classes:

Learn to implement true concurrency with the help of .flatMap().

Getting Started

Part 1: RxJava Basics

Reactive Programming

RxJava Core Components

Operators

Multithreading

Part 2: RxJava Advanced

Reactive Modeling on Android

Backpressure

Error Handling

Conclusion

Achieving True Concurrency

The basics of true concurrency