在上一篇文章中(简单粗暴解决LiveData『数据倒灌』的问题),已经解释了什么叫“数据倒灌”,并给出了解决方案,这里再给出另一种解决方案(参考google的SingleLiveEvent)。
方案思路:
1、针对每一个Observer,都设置一个对应的AtomicBoolean值,LiveData执行setValue时置为true,执行onChanged后置为false,确保一个value只分发一次。
完整代码 :
public class SingleLiveData<T> extends MutableLiveData<T> {
private final HashMap<Observer<? super T>, AtomicBoolean> mPendingMap = new HashMap<>();
@MainThread
@Override
public void observe(@NonNull LifecycleOwner owner, @NonNull final Observer<? super T> observer) {
Lifecycle lifecycle = owner.getLifecycle();
if (lifecycle.getCurrentState() == Lifecycle.State.DESTROYED) {
return;
}
mPendingMap.put(observer, new AtomicBoolean(false));
lifecycle.addObserver((LifecycleEventObserver) (source, event) -> {
if (event == Lifecycle.Event.ON_DESTROY) {
mPendingMap.remove(observer);
}
});
super.observe(owner, t -> {
AtomicBoolean pending = mPendingMap.get(observer);
if (pending != null && pending.compareAndSet(true, false)) {
observer.onChanged(t);
}
});
}
@MainThread
@Override
public void observeForever(@NonNull Observer<? super T> observer) {
mPendingMap.put(observer, new AtomicBoolean(false));
super.observeForever(observer);
}
@MainThread
@Override
public void removeObserver(@NonNull Observer<? super T> observer) {
mPendingMap.remove(observer);
super.removeObserver(observer);
}
@MainThread
@Override
public void removeObservers(@NonNull LifecycleOwner owner) {
mPendingMap.clear();
super.removeObservers(owner);
}
@MainThread
@Override
public void setValue(@Nullable T t) {
for (AtomicBoolean value : mPendingMap.values()) {
value.set(true);
}
super.setValue(t);
}
}
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