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Rxjava分析(一)map变换原理

Rxjava分析(一)map变换原理

作者: sankemao | 来源:发表于2017-10-20 11:32 被阅读15次

map变换

从Obserable事件发出开始,每一次map操作符的调用,就是将上一个的Obserable事件用ObserableMap包装了一次,而ObserableMap继承自抽象类Obserable,本质是静态代理模式。
map变换的精华也就在ObservableMap这个类中:

public final class ObservableMap<T, U> extends AbstractObservableWithUpstream<T, U> {
    final Function<? super T, ? extends U> function;

    public ObservableMap(ObservableSource<T> source, Function<? super T, ? extends U> function) {
        super(source);
        this.function = function;
    }

    public void subscribeActual(Observer<? super U> t) {
        this.source.subscribe(new ObservableMap.MapObserver(t, this.function));
    }

    static final class MapObserver<T, U> extends BasicFuseableObserver<T, U> {
        final Function<? super T, ? extends U> mapper;

        MapObserver(Observer<? super U> actual, Function<? super T, ? extends U> mapper) {
            super(actual);
            this.mapper = mapper;
        }

        public void onNext(T t) {
            if(!this.done) {
                if(this.sourceMode != 0) {
                    this.actual.onNext((Object)null);
                } else {
                    Object v;
                    try {
                        v = ObjectHelper.requireNonNull(this.mapper.apply(t), "The mapper function returned a null value.");
                    } catch (Throwable var4) {
                        this.fail(var4);
                        return;
                    }

                    this.actual.onNext(v);
                }
            }
        }

        public int requestFusion(int mode) {
            return this.transitiveBoundaryFusion(mode);
        }

        @Nullable
        public U poll() throws Exception {
            T t = this.qs.poll();
            return t != null?ObjectHelper.requireNonNull(this.mapper.apply(t), "The mapper function returned a null value."):null;
        }
    }
}

这段实例代码来自https://www.jianshu.com/p/b3b0170152ff

Observable.just("http://img.taopic.com/uploads/allimg/130331/240460-13033106243430.jpg")
                .map(new Function<String, Bitmap>() {
                    @Override
                    public Bitmap apply(String urlPath) throws Exception {
                        URL url = new URL(urlPath);
                        HttpURLConnection urlConnection = (HttpURLConnection) url.openConnection();
                        InputStream inputStream = urlConnection.getInputStream();
                        Bitmap bitmap = BitmapFactory.decodeStream(inputStream);
                        return bitmap;
                    }
                })
                .map(new Function<Bitmap, Bitmap>() {
                    @Override
                    public Bitmap apply(@NonNull Bitmap bitmap) throws Exception {
                        bitmap = createWatermark(bitmap, "RxJava2.0");
                        return bitmap;
                    }
                })
                .map(new Function<Bitmap, Bitmap>() {
                    @Override
                    public Bitmap apply(Bitmap bitmap) throws Exception {
                        return bitmap;
                    }
                })
                .subscribe(new Consumer<Bitmap>() {
                    @Override
                    public void onNext(final Bitmap bitmap) {
                        mImage.setImageBitmap(bitmap);
                    }
                });
image.png

上图的流程:自上而下发射事件(map变换),再自下而上订阅事件(subscribe),最后自上而下正真执行事件function(onNext方法)。

首先,由Obserable.just生成一个事件源,然后通过map变换,将事件源向下发射,这个过程是怎样的呢?让我们看下
Obserable类中的map方法

   @SchedulerSupport(SchedulerSupport.NONE)
    public final <R> Observable<R> map(Function<? super T, ? extends R> mapper) {
        ObjectHelper.requireNonNull(mapper, "mapper is null");
        return RxJavaPlugins.onAssembly(new ObservableMap<T, R>(this, mapper));
    }

RxJavaPlugins.onAssembly方法我们不需关注,可以直接简化成return new ObservableMap<T, R>(this, mapper);
参数this就是Obserable.just生成的最初的事件源
ObservableMap构造方法如下:

    public ObservableMap(ObservableSource<T> source, Function<? super T, ? extends U> function) {
        super(source);
        this.function = function;
    }

ObserverableMap继承自AbstractObservableWithUpstream:

abstract class AbstractObservableWithUpstream<T, U> extends Observable<U> implements HasUpstreamObservableSource<T> {
    protected final ObservableSource<T> source;

    AbstractObservableWithUpstream(ObservableSource<T> source) {
        this.source = source;
    }

    public final ObservableSource<T> source() {
        return this.source;
    }
}

结合起来看,就是ObserverableMap中保存了上游的Observerable事件源,以及变换方法(就是map方法中传入的function)。
多次map变换,也就是重复以上这一过程,不断的将上游的Observerable事件源包装为新的ObserverableMap。

最终,事件的执行需要我们subscribe消费者:Observable.subscribe(subscriber)
此时的Observable其实是ObservableMap,subscibe其实调用的是ObservableMap中的subscribeActual方法。为什么是这样调用的,回到ObservableMap父类Observable中看下就清楚了:

    @SchedulerSupport("none")
    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");
            this.subscribeActual(observer);
        } catch (NullPointerException var4) {
            throw var4;
        } catch (Throwable var5) {
            Exceptions.throwIfFatal(var5);
            RxJavaPlugins.onError(var5);
            NullPointerException npe = new NullPointerException("Actually not, but can't throw other exceptions due to RS");
            npe.initCause(var5);
            throw npe;
        }
    }

    protected abstract void subscribeActual(Observer<? super T> var1);

回到ObservableMap的subscribeActual方法中,回想下java的多态,继续看:

    @Override
    public void subscribeActual(Observer<? super U> t) {
        source.subscribe(new MapObserver<T, U>(t, function));
    }

拆开来看其实分为两步:
1.Observer observer = new MapObserver<T, U>(t, function)
这里,生成Observer的代理类MapObserver,同时将之前ObservableMap中保存的变换方法传进去。
2.source.subscribe(observer )
source为之前ObservableMap中保存的上游Observable事件,将下游的Observer交给上游处理。
总体上来看,就是自下而上,每遇到ObservableMap就重复一下这个订阅过程。一直到ObservableJust,即我们的事件源,看下ObservableJust,它也是Observable的子类,同时也重写了subscribeActual方法:

    protected void subscribeActual(Observer<? super T> s) {
        ScalarDisposable<T> sd = new ScalarDisposable(s, this.value);
        s.onSubscribe(sd);
        sd.run();
    }

ScalarDisposable又是一个静态代理,它代理了那个代理了好多层的Observer,sd.run()方法里面调用了代理了好多层的Observer的onNext代理方法。

     static final class MapObserver<T, U> extends BasicFuseableObserver<T, U> {
        final Function<? super T, ? extends U> mapper;

        MapObserver(Observer<? super U> actual, Function<? super T, ? extends U> mapper) {
            super(actual);
            this.mapper = mapper;
        }

        public void onNext(T t) {
            if(!this.done) {
                if(this.sourceMode != 0) {
                    this.actual.onNext((Object)null);
                } else {
                    Object v;
                    try {
                        v = ObjectHelper.requireNonNull(this.mapper.apply(t), "The mapper function returned a null value.");
                    } catch (Throwable var4) {
                        this.fail(var4);
                        return;
                    }

                    this.actual.onNext(v);
                }
            }
        }

        public int requestFusion(int mode) {
            return this.transitiveBoundaryFusion(mode);
        }

        @Nullable
        public U poll() throws Exception {
            T t = this.qs.poll();
            return t != null?ObjectHelper.requireNonNull(this.mapper.apply(t), "The mapper function returned a null value."):null;
        }
    }

onNext方法内部,
首先this.mapper.apply(t),执行了变换方法。
继续又调用了下游Observer的onNext方法。
这样就一层一层自上而下的执行onNext方法,将事件串成流那样执行了。

总结

整体流程分析下来,我们发现ObservableMap这个类太关键了,它持有者上游的Obserable事件源以及变换方法,同时它的subscribeActual方法中,将下游的Observer代理成MapObserver。MapObserver是ObservableMap的内部类,代理方法onNext里,执行了变换方法。onNext的执行是在ObserableJust的subscribeActual触发的。

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