Android RxLife 一款轻量级别的RxJava生命周期管理库（二）

在Android RxLife 一款轻量级别的RxJava生命周期管理库（一）一文中，咱们讲解了lift,compose这两个操做符的使用，及RxJava是如何形成内存泄漏的，RxLife又是如何解决RxJava内存泄漏的。在这再也不次进行讲解，若是尚未看的，请回头阅读

本文主要讲解RxLife在最新版本1.0.4中的as操做符的使用及其做用。

gradle依赖

implementation 'com.rxjava.rxlife:rxlife:1.0.4'
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源码下载 欢迎star

看过上篇文章的同窗知道，在使用lift,compose这两个操做符时，咱们规定了下游除了subscribe操做符外不能有其它的操做符出现，而后这种规定不是代码层面的规定，须要开发者在开发时额外注意，显然这种方案是不完美的，那么咱们能不能从代码层面上去规定呢？此时就要请咱们主角出场了！

as操做符

咱们先来看看as操做符如何使用。(如下代码默认运行在Activity中)

Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        .as(RxLife.as(this)) //this 为LifecycleOwner对象
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong);
        });
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这样就能够了？是的，就这么简单。那么as是如何规避下游不会出现除subscribe以外的操做符呢？咱们先来看看使用as操做符，返回的啥？

ObservableLife<Long> observableLife = Observable
        .intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        .as(RxLife.asOnMain(this));
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返回的是一个ObservableLife对象，这是什么鬼？进去看看

/** * User: ljx * Date: 2019/4/18 * Time: 18:40 */
public class ObservableLife<T> extends RxSource<Observer<? super T>> {

    private Observable<T> upStream;

    ObservableLife(Observable<T> upStream, LifecycleOwner owner, Event event, boolean onMain) {
        super(owner, event, onMain);
        this.upStream = upStream;
    }

    @Override
    public final Disposable subscribe() {
        return subscribe(Functions.emptyConsumer(), Functions.ON_ERROR_MISSING, Functions.EMPTY_ACTION, Functions.emptyConsumer());
    }

    public final Disposable subscribe(Consumer<? super T> onNext) {
        return subscribe(onNext, Functions.ON_ERROR_MISSING, Functions.EMPTY_ACTION, Functions.emptyConsumer());
    }

    public final Disposable subscribe(Consumer<? super T> onNext, Consumer<? super Throwable> onError) {
        return subscribe(onNext, onError, Functions.EMPTY_ACTION, Functions.emptyConsumer());
    }

    public final Disposable subscribe(Consumer<? super T> onNext, Consumer<? super Throwable> onError, Action onComplete) {
        return subscribe(onNext, onError, onComplete, Functions.emptyConsumer());
    }

    public final Disposable subscribe(Consumer<? super T> onNext, Consumer<? super Throwable> onError, Action onComplete, Consumer<? super Disposable> onSubscribe) {
        ObjectHelper.requireNonNull(onNext, "onNext is null");
        ObjectHelper.requireNonNull(onError, "onError is null");
        ObjectHelper.requireNonNull(onComplete, "onComplete is null");
        ObjectHelper.requireNonNull(onSubscribe, "onSubscribe is null");

        LambdaObserver<T> ls = new LambdaObserver<T>(onNext, onError, onComplete, onSubscribe);

        subscribe(ls);

        return ls;
    }


    @Override
    public final void subscribe(Observer<? super T> observer) {
        ObjectHelper.requireNonNull(observer, "observer is null");
        try {
            observer = RxJavaPlugins.onSubscribe(upStream, observer);

            ObjectHelper.requireNonNull(observer, "The RxJavaPlugins.onSubscribe hook returned a null Observer. Please change the handler provided to RxJavaPlugins.setOnObservableSubscribe for invalid null returns. Further reading: https://github.com/ReactiveX/RxJava/wiki/Plugins");

            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;
        }
    }

    private void subscribeActual(Observer<? super T> observer) {
        Observable<T> upStream = this.upStream;
        if (onMain) {
            upStream = upStream.observeOn(AndroidSchedulers.mainThread());
        }
        upStream.onTerminateDetach().subscribe(new LifeObserver<>(observer, owner, event));
    }
}
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仔细的你会发现，ObservableLife类里面就只有一系列的subscribe方法，并且跟Observable里面的subscribe方法是一一对应的，功能也是同样的。到这，咱们就明白了，原来as操做符返回的是一个自定义的对象，并且该对象只提供了一系列subscribe方法，这样就规避了下游不会再出现其它的操做符，就避免内存泄漏等危险。

到这，as操做符的原理咱们就讲清楚了，咱们再来看看as操做符的其它用法。

指定生命周期关闭管道

Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        //指定在onStop关闭管道，也能够指定其它生命周期，不指定默认在onDestroy关闭管道
        .as(RxLife.as(this, Event.ON_STOP)) 
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong + " Thread=" + Thread.currentThread());
        });
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指定观察者在主线程回调

Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        .as(RxLife.asOnMain(this)) //asOnMain即表明在主线程回调
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong + " Thread=" + Thread.currentThread());
        });
        
        //等价于
Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        .observeOn(AndroidSchedulers.mainThread())
        .as(RxLife.as(this))
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong + " Thread=" + Thread.currentThread());
        });
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同时指定线程回调及生命周期

Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        //在主线程回调，并指定在onStop关闭管道，也能够指定其它生命周期，不指定默认在onDestroy关闭管道
        .as(RxLife.asOnMain(this, Event.ON_STOP)) 
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong + " Thread=" + Thread.currentThread());
        });
        //等价于
Observable.intervalRange(1, 100, 0, 200, TimeUnit.MILLISECONDS)
        .observeOn(AndroidSchedulers.mainThread())
        .as(RxLife.as(this, Event.ON_STOP))
        .subscribe(aLong -> {
            Log.e("LJX", "accept=" + aLong + " Thread=" + Thread.currentThread());
        });
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ok，as操做符用法就这么多，若是有更好的idea，请告诉我。

小彩蛋

RxLife类里面的as系列方法，皆适用于Observable、Flowable、ParallelFlowable、Single、Maybe、Completable这6个被观察者对象，道理都同样，这里不在一一讲解。

有疑问，请留言，我会在第一时间做答。

扩展

RxLife结合RxHttp发送请求，简直不要太爽。

Rxhttp详情请点击RxHttp 一条链发送请求，新一代Http请求神器（一）