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您可以使用zip运算符。该zip运营商可以采取多种观测,并同时执行它们,所有的结果已经抵达后,将继续进行。
然后,您可以将这些结果转换为您需要的形式并传递到下一个级别。
按照你的例子。假设您有多个 API 调用来获取名称和会话等,如下所示
Observable.zip(getNameRequest(), getSessionIdRequest(), new BiFunction<String, String, Object>() {
@Override
public Object apply(String name, String sessionId) throws Exception {
// here you will get all the results once everything is completed. you can then take these
// results and transform into another object and returnm from here. I decided to transform the results into an Object[]
// the retuen type of this apply funtion is generic, so you can choose what to return
return new Object[]{name, sessionId};
}
})
.subscribeOn(Schedulers.io()) // will start this entire chain in an IO thread
.observeOn(AndroidSchedulers.mainThread()) // observeOn will filp the thread to the given one , so that the downstream will be executed in the specified thread. here I'm switching to main at this point onwards
.subscribeWith(new DisposableObserver<Object>() {
@Override
public void onNext(Object finalResult) {
// here you will get the final result with all the api results
}
@Override
public void onError(Throwable e) {
// any error during the entire process will be triggered here
}
@Override
public void onComplete() {
//will be called once the whole chain is completed and terminated
}
});
您甚至可以将 observables 列表传递给zip如下
List<Observable<String>> requests = new ArrayList<>();
requests.add(getNameRequest());
requests.add(getSessionIdRequest());
Observable.zip(requests, new Function<Object[], Object[]>() {
@Override
public Object[] apply(Object[] objects) throws Exception {
return new Object[]{objects[0], objects[1]};
}
}).subscribeWith(new DisposableObserver<Object[]>() {
@Override
public void onNext(Object[] objects) {
}
@Override
public void onError(Throwable e) {
}
@Override
public void onComplete() {
}
})
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