RxJava 复杂场景 Schedulers调度
参考: https://blog.piasy.com/2016/10/14/Complex-RxJava-2-scheduler/
以Zip为例,学习Schedulers的线程调度
要求:
* create 里的代码在 io 线程执行, * zip 合并的代码在主线程执行, * map 的操作在 io 线程执行, * subscriber 的代码在主线程执行。
Observable<Integer> odd = Observable.create(new Observable.OnSubscribe<Integer>() { @Override public void call(Subscriber<? super Integer> subscriber) { System.out.println("1. create odd @ " + Thread.currentThread().getName()); subscriber.onNext(1); subscriber.onCompleted(); } }); Observable<Integer> even = Observable.create(new Observable.OnSubscribe<Integer>() { @Override public void call(Subscriber<? super Integer> subscriber) { System.out.println("2. create even @ " + Thread.currentThread().getName()); subscriber.onNext(2); subscriber.onCompleted(); } }); Observable.zip( // 決定--> zip 合并的代码在主线程执行 odd.observeOn(AndroidSchedulers.mainThread()), even, new Func2<Integer, Integer, Integer>() { @Override public Integer call(Integer integer, Integer integer2) { System.out.println("3. zip @ " + Thread.currentThread().getName()); return integer + integer2; } }) // 決定--> create 里的代码在 io 线程执行 .subscribeOn(Schedulers.io()) // 決定--> map 的操作在 io 线程执行 .observeOn(Schedulers.io()) .map(new Func1<Integer, String>() { @Override public String call(Integer integer) { System.out.println("4. map @ " + Thread.currentThread().getName()); return "" + integer; } }) // 決定--> subscriber 的代码在主线程执行 .observeOn(AndroidSchedulers.mainThread()) .subscribe(new Action1<String>() { @Override public void call(String str) { System.out.println("5. subscribe @ " + Thread.currentThread().getName()); } });
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