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Rxjava 线程切换原理

前言


rxjava 可以很方便的进行线程切换, 那么rxjava是如何进行线程切换的呢?阅读本文可以了解下rxjava 是如何进行线程切换的及线程切换的影响点。




一个简单的代码:


Observable.create(new ObservableOnSubscribe<String>() {
@Override
public void subscribe(ObservableEmitter<String> e) throws Exception {
Log.d("WanRxjava ", "subscrib td ==" + Thread.currentThread().getName());
e.onNext("我在发送next");
e.onComplete();
}
}).subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(new Observer<String>() {
@Override
public void onSubscribe(Disposable d) {
Log.d("WanRxjava ", "onSubscribe td ==" + Thread.currentThread().getName());
}

@Override
public void onNext(String value) {
Log.d("WanRxjava ", "onNext td ==" + Thread.currentThread().getName());
}

@Override
public void onError(Throwable e) {

}

@Override
public void onComplete() {
Log.d("WanRxjava ", "onComplete td ==" + Thread.currentThread().getName());
}
});

如上代码,实现了线程切换和观察者被观察者绑定的逻辑。我们分四部分看上述代码逻辑create、subscribeOn、observeOn、subscribe


1.create

create 顾名思议是 创建被观察者,这里有一个参数是 ObservableOnSubscribe,这是个接口类,我们看下create 的源码:


@SchedulerSupport(SchedulerSupport.NONE)
public static <T> Observable<T> create(ObservableOnSubscribe<T> source) {
ObjectHelper.requireNonNull(source, "source is null");
return RxJavaPlugins.onAssembly(new ObservableCreate<T>(source));
}



将ObservableOnSubscribe 传入后 又调用了 new ObservableCreate(source)


public final class ObservableCreate<T> extends Observable<T> {
final ObservableOnSubscribe<T> source;

public ObservableCreate(ObservableOnSubscribe<T> source) {
this.source = source;
}
}


ObservableCreate 有一个变量是 source,这里只是将传入的ObservableOnSubscribe 赋值给source,也就是做了一层包装,然后返回。


2.subscribeOn

调用完create后返回了 ObservableCreate(Observable),然后继续调用subscribeOn,传入了一个变量 Schedulers.io()


@SchedulerSupport(SchedulerSupport.CUSTOM)
public final Observable<T> subscribeOn(Scheduler scheduler) {
ObjectHelper.requireNonNull(scheduler, "scheduler is null");
return RxJavaPlugins.onAssembly(new ObservableSubscribeOn<T>(this, scheduler));
}


我们看到调用了new ObservableSubscribeOn(this, scheduler) 将自身和 scheduler 传入


public final class ObservableSubscribeOn<T> extends AbstractObservableWithUpstream<T, T> {
final Scheduler scheduler;

public ObservableSubscribeOn(ObservableSource<T> source, Scheduler scheduler) {
super(source);
this.scheduler = scheduler;
}
}


ObservableSubscribeOn 将scheduler 和 create 返回的对象又包装了一层 返回ObservableSubscribeOn


3.observeOn

有一个参数是 Scheduler


@SchedulerSupport(SchedulerSupport.CUSTOM)
public final Observable<T> observeOn(Scheduler scheduler) {
return observeOn(scheduler, false, bufferSize());
}
@SchedulerSupport(SchedulerSupport.CUSTOM)
public final Observable<T> observeOn(Scheduler scheduler, boolean delayError, int bufferSize) {
ObjectHelper.requireNonNull(scheduler, "scheduler is null");
ObjectHelper.verifyPositive(bufferSize, "bufferSize");
return RxJavaPlugins.onAssembly(new ObservableObserveOn<T>(this, scheduler, delayError, bufferSize));
}


ObservableSubscribeOn(observable)又调用了observeOn,然后调用了new ObservableObserveOn(this, scheduler, delayError, bufferSize)


public final class ObservableObserveOn<T> extends AbstractObservableWithUpstream<T, T> {
final Scheduler scheduler;
final boolean delayError;
final int bufferSize;
public ObservableObserveOn(ObservableSource<T> source, Scheduler scheduler, boolean delayError, int bufferSize) {
super(source);
this.scheduler = scheduler;
this.delayError = delayError;
this.bufferSize = bufferSize;
}
}


又是一个包装,将ObservableSubscribeOn 和 scheduler 包装成 ObservableObserveOn


4.subscribe

上述最后一步即调用ObservableObserveOn.subscribe,传入参数是一个 observer


//ObservableObserveOn.java
@SchedulerSupport(SchedulerSupport.NONE)
@Override
public final void subscribe(Observer<? super T> observer) {
ObjectHelper.requireNonNull(observer, "observer is null");
try {
observer = RxJavaPlugins.onSubscribe(this, observer);

ObjectHelper.requireNonNull(observer, "Plugin returned null Observer");

subscribeActual(observer);
} catch (NullPointerException e) { // NOPMD
throw e;
} catch (Throwable e) {
Exceptions.throwIfFatal(e);
// can't call onError because no way to know if a Disposable has been set or not
// can't call onSubscribe because the call might have set a Subscription already
RxJavaPlugins.onError(e);

NullPointerException npe = new NullPointerException("Actually not, but can't throw other exceptions due to RS");
npe.initCause(e);
throw npe;
}
}


可以看到调用subscribe 后调用了subscribeActual(observer);将observer 传入


我们看下 subscribeActual(observer)


//ObservableObserveOn.java
@Override
protected void subscribeActual(Observer<? super T> observer) {
if (scheduler instanceof TrampolineScheduler) {
source.subscribe(observer);
} else {
Scheduler.Worker w = scheduler.createWorker();

source.subscribe(new ObserveOnObserver<T>(observer, w, delayError, bufferSize));
}
}


上面的if 先不管,主要看下下面的逻辑,调用了 scheduler.createWorker(),这个scheduler 是 observeOn 传入的,然后调用


new ObserveOnObserver(observer, w, delayError, bufferSize);将worker /observer 又做了一次包装。


//ObservableObserveOn 内部类
static final class ObserveOnObserver<T> extends BasicIntQueueDisposable<T>
implements Observer<T>, Runnable {

private static final long serialVersionUID = 6576896619930983584L;
final Observer<? super T> actual;
final Scheduler.Worker worker;
final boolean delayError;
final int bufferSize;

SimpleQueue<T> queue;

Disposable s;

Throwable error;
volatile boolean done;

volatile boolean cancelled;

int sourceMode;

boolean outputFused;

ObserveOnObserver(Observer<? super T> actual, Scheduler.Worker worker, boolean delayError, int bufferSize) {
this.actual = actual;
this.worker = worker;
this.delayError = delayError;
this.bufferSize = bufferSize;
}

@Override
public void onSubscribe(Disposable s) {
if (DisposableHelper.validate(this.s, s)) {
this.s = s;
if (s instanceof QueueDisposable) {
@SuppressWarnings("unchecked")
QueueDisposable<T> qd = (QueueDisposable<T>) s;

int m = qd.requestFusion(QueueDisposable.ANY | QueueDisposable.BOUNDARY);

if (m == QueueDisposable.SYNC) {
sourceMode = m;
queue = qd;
done = true;
actual.onSubscribe(this);
schedule();
return;
}
if (m == QueueDisposable.ASYNC) {
sourceMode = m;
queue = qd;
actual.onSubscribe(this);
return;
}
}

queue = new SpscLinkedArrayQueue<T>(bufferSize);

actual.onSubscribe(this);
}
}

@Override
public void onNext(T t) {
if (done) {
return;
}

if (sourceMode != QueueDisposable.ASYNC) {
queue.offer(t);
}
schedule();
}

@Override
public void onError(Throwable t) {
if (done) {
RxJavaPlugins.onError(t);
return;
}
error = t;
done = true;
schedule();
}

@Override
public void onComplete() {
if (done) {
return;
}
done = true;
schedule();
}

@Override
public void dispose() {
if (!cancelled) {
cancelled = true;
s.dispose();
worker.dispose();
if (getAndIncrement() == 0) {
queue.clear();
}
}
}

@Override
public boolean isDisposed() {
return cancelled;
}

void schedule() {
if (getAndIncrement() == 0) {
worker.schedule(this);
}
}

void drainNormal() {
int missed = 1;

final SimpleQueue<T> q = queue;
final Observer<? super T> a = actual;

for (;;) {
if (checkTerminated(done, q.isEmpty(), a)) {
return;
}

for (;;) {
boolean d = done;
T v;

try {
v = q.poll();
} catch (Throwable ex) {
Exceptions.throwIfFatal(ex);
s.dispose();
q.clear();
a.onError(ex);
return;
}
boolean empty = v == null;

if (checkTerminated(d, empty, a)) {
return;
}

if (empty) {
break;
}

a.onNext(v);
}

missed = addAndGet(-missed);
if (missed == 0) {
break;
}
}
}

void drainFused() {
int missed = 1;

for (;;) {
if (cancelled) {
return;
}

boolean d = done;
Throwable ex = error;

if (!delayError && d && ex != null) {
actual.onError(error);
worker.dispose();
return;
}

actual.onNext(null);

if (d) {
ex = error;
if (ex != null) {
actual.onError(ex);
} else {
actual.onComplete();
}
worker.dispose();
return;
}

missed = addAndGet(-missed);
if (missed == 0) {
break;
}
}
}

@Override
public void run() {
if (outputFused) {
drainFused();
} else {
drainNormal();
}
}

boolean checkTerminated(boolean d, boolean empty, Observer<? super T> a) {
if (cancelled) {
queue.clear();
return true;
}
if (d) {
Throwable e = error;
if (delayError) {
if (empty) {
if (e != null) {
a.onError(e);
} else {
a.onComplete();
}
worker.dispose();
return true;
}
} else {
if (e != null) {
queue.clear();
a.onError(e);
worker.dispose();
return true;
} else
if (empty) {
a.onComplete();
worker.dispose();
return true;
}
}
}
return false;
}

@Override
public int requestFusion(int mode) {
if ((mode & ASYNC) != 0) {
outputFused = true;
return ASYNC;
}
return NONE;
}

@Override
public T poll() throws Exception {
return queue.poll();
}

@Override
public void clear() {
queue.clear();
}

@Override
public boolean isEmpty() {
return queue.isEmpty();
}
}


包装完ObserveOnObserver后,调用了source.subscribe 这里的source 即ObservableSubscribeOn.subscribe,进而调用ObservableSubscribeOn.subscribeActual


//ObservableSubscribeOn.java
@Override
public void subscribeActual(final Observer<? super T> s) {
final SubscribeOnObserver<T> parent = new scheduler<T>(s);

s.onSubscribe(parent);

parent.setDisposable(scheduler.scheduleDirect(new Runnable() {
@Override
public void run() {
source.subscribe(parent);
}
}));
}

static final class SubscribeOnObserver<T> extends AtomicReference<Disposable> implements Observer<T>, Disposable {

private static final long serialVersionUID = 8094547886072529208L;
final Observer<? super T> actual;

final AtomicReference<Disposable> s;

SubscribeOnObserver(Observer<? super T> actual) {
this.actual = actual;
this.s = new AtomicReference<Disposable>();
}

@Override
public void onSubscribe(Disposable s) {
DisposableHelper.setOnce(this.s, s);
}

@Override
public void onNext(T t) {
actual.onNext(t);
}

@Override
public void onError(Throwable t) {
actual.onError(t);
}

@Override
public void onComplete() {
actual.onComplete();
}

@Override
public void dispose() {
DisposableHelper.dispose(s);
DisposableHelper.dispose(this);
}

@Override
public boolean isDisposed() {
return DisposableHelper.isDisposed(get());
}

void setDisposable(Disposable d) {
DisposableHelper.setOnce(this, d);
}
}


ObservableSubscribeOn.subscribeActual


首先将传入的观察者封装成 SubscribeOnObserver

然后触发了 onSubscribe,接着调用 scheduler.scheduleDirect(new Runnable() 这里的scheduler 是 subscribeOn 传入的

最后调用了 scheduler.setsetDisposable方法。

我们看到 run 的方法体即source.subscribe(parent);这里的source 即 ObservableCreate(ObservableOnSubscribe),传入了observer,然后调用 observer的OnNext 和 OnComplete 方法。


5.小结:

a. 调用Observer.OnSubscribe 方法是 不受线程调度影响的

b.subscribeOn 影响的是发送事件的线程

c.observerOn 影响的是观察者处理接受数据的线程,如果没有调用observeOn 则不会进行包装成 ObserveOnObserver,也就是说不会执行观察者的线程切换,和 发送者的线程一致

d.多次调用subscribeOn切换线程,每次都会new ObservableSubscribeOn,触发事件发送时会往上调用,也就是第一次调用的subscribeOn传入的线程 会执行发送事件,后面的线程切换无效

e.Observer.OnSubscribe 只会执行一次,因为调用DisposableHelper.setOnce(this.s, s)

f.处理完onComplete 或者onError 后就不会再发出事件,因为被观察者发送完这两个事件后 就会调用disposed
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作者:YDG
链接:https://juejin.cn/post/6952831553349091358
来源:掘金
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。
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