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RxJava(十五)--observeOn()解析

RxJava(十五)--observeOn()解析

作者: azu_test | 来源:发表于2019-03-09 22:40 被阅读0次

介绍

observeOn(线程B)方法是将数据处理后的结果放置在线程B内执行。通常线程B是UI线程

执行代码

        //初始化被观察者Observable,并给其加上数据处理器Observable.OnSubscribe
        Observable Aobservable = Observable.create(new Observable.OnSubscribe<String>(){
            @Override
            public void call(Subscriber<? super String> subscriber) {
                LogShowUtil.addLog("RxJava","发送线程: "+Thread.currentThread().getName(),true);
                subscriber.onNext("杨");
                subscriber.onCompleted();
            }
        });
        //做subscribeOn数据处理器执行线程切换处理
        Observable Bobservable = Aobservable.subscribeOn(Schedulers.newThread());
         //做observeOn结果接受线程切换处理
        Observable Cobservable = Bobservable.observeOn(AndroidSchedulers.mainThread());
        //订阅
        Cobservable.subscribe(observer);

源码分析

1. 初始化被观察者AObservable
  Observable  Aobservable = Observable.create(原始数据处理器);

由此可知被观察者AObservable持有原始数据处理器对象Observable.OnSubscribe。

2. 执行subscribeOn数据处理线程切换操作
        Observable Bobservable = Aobservable.subscribeOn(Schedulers.newThread());
    Observable#subscribeOn
    public final Observable<T> subscribeOn(Scheduler scheduler) {
        if (this instanceof ScalarSynchronousObservable) {
            return ((ScalarSynchronousObservable<T>)this).scalarScheduleOn(scheduler);
        }
        return create(new OperatorSubscribeOn<T>(this, scheduler));
    }

接着我们看其中的new OperatorSubscribeOn(Aobservable,线程切换工具)操作

    public OperatorSubscribeOn(Observable<T> source, Scheduler scheduler) {
        this.scheduler = scheduler;
        this.source = source;
    }

由代码可知代理数据处理线程切换器OperatorSubscribeOn持有Aobservable和线程切换工具Scheduler

回到subscribeOn()方法内继续执行create(代理据处理线程切换器)

        return create(new OperatorSubscribeOn<T>(this, scheduler));

create方法之前已经分析过,由此可知Bobservable持有代理据处理线程切换器OperatorSubscribeOn。

3. 执行subscribeOn结果接收线程切换操作
        Observable Cobservable = Bobservable.observeOn(AndroidSchedulers.mainThread());
    public final Observable<T> observeOn(Scheduler scheduler) {
        return observeOn(scheduler, RxRingBuffer.SIZE);
    }
    public final Observable<T> observeOn(Scheduler scheduler, int bufferSize) {
        return observeOn(scheduler, false, bufferSize);
    }
    public final Observable<T> observeOn(Scheduler scheduler, boolean delayError, int bufferSize) {
        if (this instanceof ScalarSynchronousObservable) {
            return ((ScalarSynchronousObservable<T>)this).scalarScheduleOn(scheduler);
        }
        return lift(new OperatorObserveOn<T>(scheduler, delayError, bufferSize));
    }

接着我们看其中的new OperatorObserveOn<T>(结果接受线程切换工具, delayError, bufferSize)操作

    public OperatorObserveOn(Scheduler scheduler, boolean delayError, int bufferSize) {
        this.scheduler = scheduler;
        this.delayError = delayError;
        this.bufferSize = (bufferSize > 0) ? bufferSize : RxRingBuffer.SIZE;
    }

由代码可知代理结果接受线程切换器OperatorObserveOn持有结果接受线程切换工具Scheduler

接着回到observeOn()方法内的lift()方法

    public final Observable<T> observeOn(Scheduler scheduler, boolean delayError, int bufferSize) {
        if (this instanceof ScalarSynchronousObservable) {
            return ((ScalarSynchronousObservable<T>)this).scalarScheduleOn(scheduler);
        }
        return lift(代理结果接受线程切换器OperatorObserveOn);
    }
    public final <R> Observable<R> lift(final Operator<? extends R, ? super T> operator) {
        return create(new OnSubscribeLift<T, R>(onSubscribe, operator));
    }

接着我们看new OnSubscribeLift()方法

    public OnSubscribeLift(OnSubscribe<T> parent, Operator<? extends R, ? super T> operator) {
        this.parent = parent;
        this.operator = operator;
    }

由此可知Cobservable持有Bobservable和代理结果接受线程切换器OperatorObserveOn。

4. 初始化结果接受器观察者Observer
        Cobservable.subscribe(observer);

由之前分析可知会使用 Cobservable内的OnSubscribeLift做call()方法。
其中observer为结果接受器。

    @Override
    public void call(Subscriber<? super R> o) {
        try {
            //步骤一 获取结果接受线程切换器
            Subscriber<? super T> st = RxJavaHooks.onObservableLift(operator).call(o);
            try {
                st.onStart();
                //步骤二 执行Bobservable.call()方法。
                parent.call(st);
            } catch (Throwable e) {
                Exceptions.throwIfFatal(e);
                st.onError(e);
            }
        } catch (Throwable e) {
            Exceptions.throwIfFatal(e);
            o.onError(e);
        }
    }

首先看步骤一,其实就是执行代理结果接受线程切换器OperatorObserveOn的call()方法,其中o参数为结果接收器Observer

    OperatorObserveOn#call
    @Override
    public Subscriber<? super T> call(Subscriber<? super T> child) {
        if (scheduler instanceof ImmediateScheduler) {
            // avoid overhead, execute directly
            return child;
        } else if (scheduler instanceof TrampolineScheduler) {
            // avoid overhead, execute directly
            return child;
        } else {
            ObserveOnSubscriber<T> parent = new ObserveOnSubscriber<T>(scheduler, child, delayError, bufferSize);
            parent.init();
            return parent;
        }
    }

经过判断会进入new ObserveOnSubscriber()方法生成结果接受线程切换器ObserveOnSubscriber,其中主要参数为结果接受线程切换工具scheduler和结果接收器child

        public ObserveOnSubscriber(Scheduler scheduler, Subscriber<? super T> child, boolean delayError, int bufferSize) {
            this.child = child;
            this.recursiveScheduler = scheduler.createWorker();
            this.delayError = delayError;
            this.on = NotificationLite.instance();
            int calculatedSize = (bufferSize > 0) ? bufferSize : RxRingBuffer.SIZE;
            // this formula calculates the 75% of the bufferSize, rounded up to the next integer
            this.limit = calculatedSize - (calculatedSize >> 2);
            if (UnsafeAccess.isUnsafeAvailable()) {
                queue = new SpscArrayQueue<Object>(calculatedSize);
            } else {
                queue = new SpscAtomicArrayQueue<Object>(calculatedSize);
            }
            // signal that this is an async operator capable of receiving this many
            request(calculatedSize);
        }

由上面代码分析可知结果接受线程切换器ObserveOnSubscriber持有结果接受线程切换工具scheduler和结果接收器Observer

再回到OnSubscribeLift#call方法内的步骤二操作

    @Override
    public void call(Subscriber<? super R> o) {
        try {
            //步骤一 获取结果接受线程切换器
            Subscriber<? super T> st = RxJavaHooks.onObservableLift(operator).call(o);
            try {
                st.onStart();
                //步骤二 执行Bobservable.call()方法。
                parent.call(st);
            } catch (Throwable e) {
                Exceptions.throwIfFatal(e);
                st.onError(e);
            }
        } catch (Throwable e) {
            Exceptions.throwIfFatal(e);
            o.onError(e);
        }
    }

步骤二将执行Bobservable.call(st)方法,其中参数st就是我们刚刚生成的接受线程切换器ObserveOnSubscriber

执行步骤二做的操作通过上一篇辅助操作符subscribeOn()可以知道会开启一个新的线程去做数据处理操作,并把Bobservable的接收器替换为了结果接受线程切换器ObserveOnSubscriber。最终处理完数据会会调用ObserveOnSubscriber.onNext()方法返回数据。

        ObserveOnSubscriber#onNext
        @Override
        public void onNext(final T t) {
            if (isUnsubscribed() || finished) {
                return;
            }
            //将结果存起来
            if (!queue.offer(on.next(t))) {
                onError(new MissingBackpressureException());
                return;
            }
            //执行结果线程切换
            schedule();
        }

由上面代码可知,会先数据处理结果存储起来,然后执行schedule()方法

        protected void schedule() {
            if (counter.getAndIncrement() == 0) {
                recursiveScheduler.schedule(this);
            }
        }

上面代码执行完以后会回调进入ObserveOnSubscriber#call()方法
此时call()方法就通过结果接受线程切换工具切换至Bobservable.observeOn(线程B)所设置的线程B内了

        @Override
        public void call() {
            long missed = 1L;
            long currentEmission = emitted;
            final Queue<Object> q = this.queue;
            final Subscriber<? super T> localChild = this.child;
            final NotificationLite<T> localOn = this.on;
            for (;;) {
                long requestAmount = requested.get();

                while (requestAmount != currentEmission) {
                    boolean done = finished;
                    Object v = q.poll();
                    boolean empty = v == null;

                    if (checkTerminated(done, empty, localChild, q)) {
                        return;
                    }

                    if (empty) {
                        break;
                    }
                    //结果接收器执行onNext()方法
                    localChild.onNext(localOn.getValue(v));

                    currentEmission++;
                    if (currentEmission == limit) {
                        requestAmount = BackpressureUtils.produced(requested, currentEmission);
                        request(currentEmission);
                        currentEmission = 0L;
                    }
                }

                if (requestAmount == currentEmission) {
                    if (checkTerminated(finished, q.isEmpty(), localChild, q)) {
                        return;
                    }
                }

                emitted = currentEmission;
                missed = counter.addAndGet(-missed);
                if (missed == 0L) {
                    break;
                }
            }
        }

通过上面代码可知,call()方法内通过自己已经持有的结果接收器Observer执行localChild.onNext(localOn.getValue(v))操作

接着会进入结果接收器Observer内方法体内

        Observer observer = new Observer<String>() {
            @Override
            public void onCompleted() {
                LogShowUtil.addLog("RxJava","结束",true);
            }
            @Override
            public void onError(Throwable e) {
            }
            @Override
            public void onNext(String string) {
                LogShowUtil.addLog("RxJava","接受线程: "+Thread.currentThread().getName(),true);
                LogShowUtil.addLog("RxJava","结果: "+string,true);
            }
        };

最终输出结果

发送线程: RxNewThreadScheduler-1
接受线程: main
结果: 杨
结束

总结

通过上面代码跟踪可知结果接受线程切换的具体位置是在OperatorObserveOn#ObserveOnSubscriber#onNext()的方法内执行完schedule()后。

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