Introduction to RxJava
Yaroslav Heriatovych
RxJava
is a library for composing asynchronous and event-based programs by using observable sequences.
Event-based system
The notion of time
Ordered sequence
- Is it a List?
- Is it a Iterable?
- It's Observable!
Event-based system
Observable
Observables fill the gap by being the ideal implementation of access to asynchronous sequences of multiple items | ||
---|---|---|
single items | multiple items | |
synchronous |
T getData()
|
Iterable<T> getData()
|
asynchronous |
Future<T> getData()
|
Observable<T> getData()
|
Observable
Primitives
public interface Observer <T> {
void onCompleted();
void onError(java.lang.Throwable throwable);
void onNext(T t);
}
public class Observable <T> {
public final static <T> Observable<T> create(OnSubscribe<T> f)
public rx.Subscription subscribe(rx.Observer<? super T> observer)
// ...
}
public static interface OnSubscribe<T> extends Action1<Subscriber<? super T>> {}
public interface Subscription {
public void unsubscribe();
public boolean isUnsubscribed();
}
public abstract class Subscriber<T> implements Observer<T>, Subscription {...}
Create Observable
Observable<String> o = Observable.from("a", "b", "c");
Observable<String> o = Observable.just("one object");
Observable<String> o = Observable.create(new Observable.OnSubscribe<String>() {
@Override
public void call(Subscriber<? super String> subscriber) {
subscriber.onNext("Hello");
subscriber.onNext("World");
subscriber.onCompleted();
}
});
Subscribe
obs.subscribe(new Observer<String>() {
@Override
public void onCompleted() {
System.out.println("completed");
}
@Override
public void onError(Throwable e) {
e.printStackTrace();
}
@Override
public void onNext(String s) {
System.out.println("item " + s);
}
});
obs.subscribe(
(String s) -> System.out.println("item " + s),
(Throwable t) -> t.printStackTrace()
);
obs.subscribe((String s) -> System.out.println("item " + s));
Subscription
Subscription subscription = obs.subscribe(s -> System.out.println(s));
//...somewhere else
subscription.unsubscribe();
Transform Observable
public Observable<Integer> mapLength(Observable<String> source) {
return Observable.create(subscriber ->
source.subscribe(new Observer<String>() {
@Override
public void onCompleted() {
subscriber.onCompleted();
}
@Override
public void onError(Throwable e) {
subscriber.onError(e);
}
@Override
public void onNext(String s) {
subscriber.onNext(s.length());
}
}));
}
map
Observable<Integer> lengthObservable = source.map(s -> s.length());
filter
take
scan
reduce
merge
zip
flatMap
map + merge
Composition
request1()
.flatMap(result1 -> request2(result1))
.flatMap(result2 -> request3(result2))
.subscribe(finalResult -> System.out.println(finalResult));
Error Handling
retry
retryWhen
onErrorReturn
onErrorResumeNext
Execution Context
Observable<String> observable =
Observable.create(new Observable.OnSubscribe<String>() {
@Override
public void call(Subscriber<? super String> subscriber) {
subscriber.onNext("Hello");
subscriber.onNext("World");
subscriber.onCompleted();
}
});
Simple Observable
observable.subscribe(new Action1<String>() {
@Override
public void call(String s) {
handleString(s);
}
});
Schedulers
observable
.map(x -> heavyTransformation(x))
.subscribe(System.out::println);
observable
.observeOn(Schedulers.computation())
.map(x -> heavyTransformation(x))
.observeOn(Schedulers.newThread())
.subscribe(System.out::println);
Schedulers
Schedulers.computation();
Schedulers.io();
Schedulers.newThread();
Schedulers.from(executor);
observable.subscribeOn(scheduler)
observable.observeOn(scheduler)
observable.unsubscribeOn(scheduler)
Build-in Schedulers
Operators
RxJava
Not only for Java
Language adapters
- RxScala
- RxClojure
- RxGroovy
- RxKotlin
- RxJRuby
Questions?
Links
Introduction to RxJava
By Yaroslav Heriatovych
Introduction to RxJava
- 5,360