假设我有一个类似下面代码的方法,其中List是flatMapped到单个字符串,每个字符串都应用了一些昂贵的操作。有没有办法并行化昂贵的操作,就像我在Java 8中使用parallelStream()一样?
SELECT l.*,
(SELECT LISTAGG(d.department_name, ', ') WITHIN GROUP (ORDER BY d.department_name) as department_names
FROM departments d
WHERE d.location_id = l.location_id
) as department_name
FROM locations l;
完成后,应用答案中建议的更改如下所示,效果很好!
final List<String> names = new ArrayList<String>() {{
add("Ringo");
add("John");
add("Paul");
add("George");
}};
Observable.just(names).subscribeOn(Schedulers.io())
.flatMap(new Func1<List<String>, Observable<String>>() {
@Override
public Observable<String> call(final List<String> names) {
return Observable.create(new Observable.OnSubscribe<String>() {
@Override
public void call(Subscriber<? super String> subscriber) {
for (String name : names) {
subscriber.onNext(name);
}
}
});
}
})
.map(new Func1<String, String>() {
@Override
public String call(String s) {
//Simulate expensive operation
try {
Thread.sleep(6000);
} catch (InterruptedException e) {
e.printStackTrace();
}
return s.toUpperCase();
}
}).subscribe(new Subscriber<String>() {
@Override
public void onCompleted() {
}
@Override
public void onError(Throwable e) {
}
@Override
public void onNext(String s) {
Log.v("RXExample", s + " on " + Thread.currentThread().getName());
}
});
答案 0 :(得分:0)
您可以使用flatMap进行并行处理,如下例所示。我正在使用RxJava2进行测试。
有关详细说明,请从此处阅读flatMap用法:http://tomstechnicalblog.blogspot.de/2015/11/rxjava-achieving-parallelization.html
@Test
public void name() throws Exception {
final List<String> names = new ArrayList<String>() {{
add("Ringo");
add("John");
add("Paul");
add("George");
}};
Observable<String> stringObservable = Observable.fromIterable(names)
.flatMap(s -> {
return longWork(s).doOnNext(s1 -> {
printCurrentThread(s1);
}).subscribeOn(Schedulers.newThread());
});
TestObserver<String> test = stringObservable.test();
test.awaitDone(2_000, TimeUnit.MILLISECONDS).assertValueCount(4);
}
private Observable<String> longWork(String s) throws InterruptedException {
return Observable.fromCallable(() -> {
Thread.sleep(1_000);
return s;
});
}
private void printCurrentThread(String additional) {
System.out.println(additional + "_" + Thread.currentThread());
}