An in-depth explanation of RxJava_07 [Multi-threading & auxiliary operations (End)]-javaTutorial-php.cn

In Android APP, we often need to access the network to obtain data. Requesting network data needs to be operated in a sub-thread. This requirement is broken down as follows:

Network requests are placed in the observer (child thread).
Network request result processing is placed in the observer (main thread).
Subscription (when the network request is completed, it is convenient for the observer to notify the observer)

In order to better realize the above requirements, we Need to know how to use a specific thread to handle the subject and observer. The following article will introduce thread-related operations in RxJava.

1.ObserveOn

Specify the scheduler on which an observer observes this Observable.

In RxJava, to specify the scheduler on which the Observable should call the observer's onNext, onCompleted, and onError methods, you need to use the observeOn operator and pass it a suitable Scheduler.

Javadoc: observeOn(Scheduler))

Observable
    .create(new Observable.OnSubscribe<String>() {
        @Override
        public void call(Subscriber<? super String> subscriber) {
            //main
            Log.i(TAG, "call: "+Thread.currentThread().getName());
            subscriber.onNext("Hello Android !");
        }
    })
    .observeOn(Schedulers.io())
    .subscribe(new Action1<String>() {
        @Override
        public void call(String s) {
            //RxIoScheduler-2
            Log.i(TAG, "subscribe call: "+Thread.currentThread().getName());
            Log.i(TAG, "subscribe call: "+s);
        }
    });

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The above code is mainly called in the main thread, so it is printed by the observer is the main thread, and the observeOn function is used, causing the observer to jump to the RxIoScheduler-2 thread to run.

I don’t know if you have noticed that Schedulers.io() in the above code specifies the type of child thread. In addition, there are many thread types. As shown in the following table:

##Schedulers.immediate()In The current thread starts executing the task immediately Schedulers.io() is used for IO-intensive tasks, such as asynchronous blocking IO operations. The thread pool of this scheduler will be based on Needs to grow; for ordinary computing tasks, please use Schedulers.computation(); Schedulers.io() defaults to a CachedThreadScheduler, much like a new thread scheduler with a thread cache Schedulers.newThread()Create a new thread for each taskSchedulers.trampoline()When other queued tasks are completed, Start executing in the queue of the current threadAndroidSchedulers.mainThread()The main thread specified by Android

2.SubscribeOn

指定Observable自身在哪个调度器上执行。

ObserveOn操作符的作用类似，但是功能很有限，它指示Observable在一个指定的调度器上给观察者发通知。

示例代码如下：

Observable
    .create(new Observable.OnSubscribe<String>() {
        @Override
        public void call(Subscriber<? super String> subscriber) {
            //RxComputationScheduler-1
            Log.i(TAG, "call: "+Thread.currentThread().getName());
            subscriber.onNext("Hello Android !");
        }
    })
    //指定被观察者在哪个线程中运行
    .subscribeOn(Schedulers.computation())
    //指定观察者在哪个线程中运行
    .observeOn(Schedulers.io())
    .subscribe(new Action1<String>() {
        @Override
        public void call(String s) {
            //RxIoScheduler-2
            Log.i(TAG, "subscribe call: "+Thread.currentThread().getName());
            Log.i(TAG, "subscribe call: "+s);
        }
    });

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3.使用调度器

除了上面介绍的2个函数，你也可以用它们调度你自己的任务。下面的示例展示了Scheduler.Worker的用法：

//模拟在子线程执行任务
Scheduler.Worker worker = Schedulers.newThread().createWorker();
worker.schedule(new Action0() {
    @Override
    public void call() {
        //call:---RxNewThreadScheduler-1
        Log.i(TAG, "call:---"+Thread.currentThread().getName());
    }
});

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检查或设置取消订阅状态

Worker类的对象实现了Subscription接口，使用它的isUnsubscribed和unsubscribe方法，所以你可以在订阅取消时停止任务，或者从正在调度的任务内部取消订阅，示例：

final Scheduler.Worker worker = Schedulers.newThread().createWorker();
Subscription mySubscription = worker.schedule(new Action0() {

    @Override
    public void call() {
        while(!worker.isUnsubscribed()) {
            Log.i(TAG, "do your work !");
            //执行完任务后取消订阅状态
            worker.unsubscribe();
        }
    }

});

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下面的一系列函数作为RxJava的辅助函数，不一定常用，仅仅帮助我们增强代码的功能。

4.Delay

Delay操作符让原始Observable在发射每项数据之前都暂停一段指定的时间段。效果是Observable发射的数据项在时间上向前整体平移了一个增量。

示例代码：

Observable
    .create(new Observable.OnSubscribe<String>() {
        @Override
        public void call(Subscriber<? super String> subscriber) {
            subscriber.onNext("Hello");
            subscriber.onNext("Android");
            //如果发送异常 则直接抛出异常 上面的发送无效
            //subscriber.onError(new NullPointerException("MOCK"));
            subscriber.onNext("Android2");
        }
    })
    //整体延迟2秒
    .delay(2000, TimeUnit.MILLISECONDS)
    .subscribe(new Action1<String>() {
        @Override
        public void call(String s) {
            Log.i(TAG, "call: " + s);
        }
    });

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delaySubscription

还有一个操作符delaySubscription让你你可以延迟订阅原始Observable。它结合搜一个定义延时的参数。

Observable
    .create(new Observable.OnSubscribe<String>() {
        @Override
        public void call(Subscriber<? super String> subscriber) {
            subscriber.onNext("Hello");
            subscriber.onNext("Android");
        }
    })
    //延迟2秒订阅
    .delaySubscription(2,TimeUnit.SECONDS)
    .subscribe(new Action1<String>() {
        @Override
        public void call(String s) {
            Log.i(TAG, "call: " + s);
        }
    });

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5.Do

此操作符可以认为是监听器的一种，它监听onNext()事件和subcribe()事件，会在此两个事件前被调用。此函数分别为：doOnEach(),doOnNext(),doOnSubscribe().

doOnEach

doOnEach操作符让你可以注册一个回调，它产生的Observable每发射一项数据就会调用它一次。

示例代码:

    Observable
        .just("Hello","Android")
        //每发送一次 就会现在Observer的onNext()中调用一次
        .doOnEach(new Observer<String>() {
            @Override
            public void onCompleted() {
                Log.i(TAG, "onCompleted: ");
            }

            @Override
            public void onError(Throwable e) {
                Log.i(TAG, "onError: ");

            }

            @Override
            public void onNext(String s) {
                Log.i(TAG, "onNext: "+s);
            }
        })
        .subscribe(new Action1<String>() {
            @Override
            public void call(String s) {
                Log.i(TAG, "call: " + s);
            }
        });

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输出：

com.m520it.rxjava I/IT520: onNext: Hello
com.m520it.rxjava I/IT520: call: Hello
com.m520it.rxjava I/IT520: onNext: Android
com.m520it.rxjava I/IT520: call: Android
com.m520it.rxjava I/IT520: onCompleted:

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类似的函数还有：

Javadoc: doOnEach(Action1))
Javadoc: doOnEach(Observer))

doOnNext

doOnNext操作符类似于doOnEach(Action1)，但是它的Action不是接受一个Notification参数，而是接受发射的数据项。

示例代码

Observable.just(1, 2, 3)
    .doOnNext(new Action1<Integer>() {
        @Override
        public void call(Integer item) {
            Log.i(TAG, "doOnNext call: "+item);
        }
    }).subscribe(new Action1<Integer>() {
        @Override
        public void call(Integer integer) {
            Log.i(TAG, "call: "+integer);
        }
    });

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输出

com.m520it.rxjava I/IT520: doOnNext call: 1
com.m520it.rxjava I/IT520: call: 1
com.m520it.rxjava I/IT520: doOnNext call: 2
com.m520it.rxjava I/IT520: call: 2
com.m520it.rxjava I/IT520: doOnNext call: 3
com.m520it.rxjava I/IT520: call: 3

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doOnSubscribe

doOnSubscribe操作符注册一个动作，当观察者订阅它生成的Observable它就会被调用。

Javadoc: doOnSubscribe(Action0))

Observable.just(1, 2, 3)
    // 订阅之前调用
    .doOnSubscribe(new Action0() {
        @Override
        public void call() {
            Log.i(TAG, "doOnSubscribe call ");
        }
    })
    .subscribe(new Action1<Integer>() {
        @Override
        public void call(Integer integer) {
            Log.i(TAG, "call: "+integer);
        }
    });

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输出

 I/IT520: doOnSubscribe call 
 I/IT520: call: 1
 I/IT520: call: 2
 I/IT520: call: 3

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6.Serialize

强制一个Observable连续调用并保证行为正确

一个Observable可以异步调用它的观察者的方法，可能是从不同的线程调用。这可能会让Observable行为不正确，它可能会在某一个onNext调用之前尝试调用onCompleted或onError方法，或者从两个不同的线程同时调用onNext方法。使用Serialize操作符，你可以纠正这个Observable的行为，保证它的行为是正确的且是同步的。

RxJava提供具有此功能的函数为serialize()

7.Timeout

如果原始Observable过了指定的一段时长没有发射任何数据，Timeout操作符会以一个onError通知终止这个Observable。

RxJava中的实现为timeout函数，我们可以使用该函数作为网络请求的超时异常处理。

示例代码：

//每次发送之后 下一次发送不能超过2秒 如果超过则跳转到onError()
Observable.interval(2, TimeUnit.SECONDS)
        .timeout(2, TimeUnit.SECONDS)
        .subscribe(new Action1<Long>() {
            @Override
            public void call(Long aLong) {
                Log.i(TAG, "call: "+aLong);
            }
        }, new Action1<Throwable>() {
            @Override
            public void call(Throwable throwable) {
                //call throwable: null
                Log.i(TAG, "call throwable: " + throwable.getLocalizedMessage());
            }
        });

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8.Using

Using操作符让你可以指示Observable创建一个只在它的生命周期内存在的资源，当Observable终止时这个资源会被自动释放。

using(Func0,Func1,Action1)操作符接受三个参数：

一个用于创建一次性资源的工厂函数
一个用于创建Observable的工厂函数
一个用于释放资源的函数

当一个观察者订阅using返回的Observable时，using将会使用Observable工厂函数创建观察者要观察的Observable，同时使用资源工厂函数创建一个你想要创建的资源。当观察者取消订阅这个Observable时，或者当观察者终止时（无论是正常终止还是因错误而终止），using使用第三个函数释放它创建的资源。

示例代码：

final Observable<Long> observable = Observable.using(new Func0<String>() {
    //创建一次性资源
    @Override
    public String call() {
        return "Hello Android !";
    }
}, new Func1<String, Observable<Long>>() {
    //创建被观察者
    @Override
    public Observable<Long> call(String s) {
        Log.i(TAG, "Func1 call: " + s);
        return Observable.interval(1, TimeUnit.SECONDS);
    }
}, new Action1<String>() {
    //用于销毁一次性资源
    @Override
    public void call(String s) {
        Log.i(TAG, "Action1 call: " + s);
    }
});

observable.subscribe(new Subscriber<Long>() {
    @Override
    public void onCompleted() {
        Log.i(TAG, "onCompleted: ");
    }

    @Override
    public void onError(Throwable e) {

    }

    @Override
    public void onNext(Long aLong) {
        Log.i(TAG, "onNext: "+aLong);
        //取消订阅后 才能执行被观察者的销毁资源方法
        unsubscribe();
    }
});

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在安卓APP中，我们经常需要通过访问网络获取数据，请求网络数据需要在子线程中操作，以下将这需求进行分解：

将网络请求放在被观察者中(子线程)。
网络请求结果处理放在观察者中(主线程)。
订阅(当网络请求完成后，方便被观察者通知观察者)

为了更好的实现上面的需求，我们需要知道如何在被观察者与观察者如何使用特定的线程来处理。下面的文章将介绍RxJava中线程相关的操作。

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Related labels：

RxJava，多线程，辅助操作

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Scheduler type	Effect
Schedulers.computation( )	Used for computing tasks, such as event loops or callback processing, not for IO operations (please use Schedulers.io() for IO operations); the default number of threads is equal to the number of processors
Schedulers.from(executor)	Use the specified Executor as the scheduler