I am new to RxSwift programming.
I am confused between the two while coding. Which one should be used to store datasource of table and how to decide that ?
A PublishSubject can emit an error or completed event while a PublishRelay cannot.
A PublishSubject conforms to the ObserverType protocol while the PublishRelay does not.
Another important point that was alluded to by #RobMayoff in his comment. Neither a PublishSubject nor a PublishRelay stores state, so neither of them are a good idea to "store datasource of table".
Fortunately, you don't need to store the state yourself because the DataSource object that the items operator creates internally stores it.
In other words, you don't need to use a Subject or Relay (of any sort) to feed a table view. Just use an Observable.
If you look at the interface to PublishRelay you can see that it wraps a PublishSubject but it hides this from its interface. So you can only send it accept(_ event: Element) which means you cannot send it error or completed Events only next elements.
public final class PublishRelay<Element>: ObservableType {
private let subject: PublishSubject<Element>
// Accepts `event` and emits it to subscribers
public func accept(_ event: Element) {
self.subject.onNext(event)
}
/// Initializes with internal empty subject.
public init() {
self.subject = PublishSubject()
}
//...
}
Anyhow, if you look at examples of tableview using RxCocoa they just wrap an array as an Observable usually using Just or create that you then pass to the tableview using RxCocoa's interface. You don't really want a Subject just a plain observable.
Can you explain purpose of RxJavaPlugins.onSubscribe method in subscribe method of Observable class? Inputs are Observable and Observer and result is Observer.
It allows wrapping the downstream Observer into a custom Observer, allows considering the upstream source's type for the wrapping and at the end, return the wrapper Observer to be subscribed to the upstream.
You can shim behavior after specific operators this way for diagnostic purposes.
Whats a clean way to make a Observable/Flowable for a global api like say
public void log(String s)
All components use this log method that currently has listeners and the various listeners log to various kinds of logging. I want to make it an observable so that multiple subscribers can can subscribe to this observable and log to various files/db.
I am hoping that I won't have to rework the legacy classes (do have access to code of the library).
Currently I add the string to a queue like data structure which is my observable and use subscribers to achieve what I want.
A more generic question would be , how do you create an observable for an infinite source (for me the log method is the source) and what data structure would be recommended for hold the data of this infinite source that can become a good observable.
Any pointers/recommendations/snippets will be greatly appreciated.
[edit]
As suggested in the response comment, using PublishSubject solved my problem.
When I need to subscribe I access the subject object and call the subscribe on it.
static PublishSubject<LogEvent> subject = PublishSubject.create();
public static void log (LogEvent evt) {
subject.onNext(evt);
}
I'm pretty new to RxJava, and whenever I have a case where I need to pass return data from one observable down the chain until a call to 'subscribe' - I have trouble understanding how to do it the 'Reactive' way without any patches...
For example:
Observable<GameObject> obs1 = func1();
Observable<GameObject> obs2 = func2();
Observable<GameObject> obs3 = func3();
Observable<GameObject> obs3 = func4();
I would like to emit obs1 and obs2, get their result, then emit obs3 then obs4 and then end the chain with subscribe while having the access to the results of obs1,obs2,obs3 and obs4.
The order of the calls is important, I need obs1 and obs2 to complete before obs3 is executed.
same goes for obs3 and obs4 - I need obs3 to complete before obs4 is executed.
How can I do that?
I know it's a pretty digested question - but this is one of the most problematic issues when a developer starts to know rxJava.
Thanks.
You can do it using Observable.zip and simple Observable.map/Observable.flatMap:
Observable.zip(obs1, obs2, (res1, res2) -> {
// do stuff with res1, res2
return obs3.flatMap(res3 -> {
// do stuff with res1, res2, res3
return obs4.flatMap(res4 -> {
// do stuff with res1, res2, res3, res4
return result;
});
});
});
This will force your scheduling requirements:
observables 1 and 2
observable 3
observable 4
Since I had the same kind of doubts in mind a while ago, the question seams to be related to how Observables really work.
Let's say you created obs1 and obs2 using something like:
Observable<GameObject> obs1 = Observable.create(...)
Observable<GameObject> obs2 = Observable.create(...)
You have 2 independent and disconnected streams. That's what you want when each of them are supposed to do something like a network request or some intensive background processing, which can take some time.
Now, let's say you want to watch for both results and emit a single value out of them when they get ready (you didn't say explicitly that, but it's gonna help you understand how it works). In this case, you can use the zipWith operator, which takes a pair of items, the first item from the first Observable and the second item from the second Observable, combine them into a single item, and emit it to the next one in the chain that may be interested on it. zipWith is called from an Observable, and expects another Observable as param to be zipped with. It also expects a custom function that knows how to zip the 2 source items and create a new one out of them.
Observable<CustomObject> obs3 = obs1.zipWith(obs2, new Func2<GameObject, GameObject, CustomObject>() {
#Override
public CustomObject call(GameObject firstItem, GameObject secondItem) {
return new CustomObject(firstItem, secondItem);
}
});
In this case, the CustomObject is just a pojo. But it could be another long running task, or whatever you need to do with the results from the first two Observable items.
If you want to wait for (or, to observe!) the results coming from obs3 you can plug another Observable at the end, which is supposed to perform another piece of processing.
Observable<FinalResult> obs4 = obs3.map(new Func1<CustomObject, FinalResult>() {
#Override
public FinalResult call(CustomObject customObject) {
return new FinalResult(customObject);
}
});
The map operator transforms (or maps) one object into another. So you could perform another piece of processing, or any data manipulation, and return a result out of it. Or your FinalResult might be a regular class, like CustomObject, just holding references to the other GameObjects.. you name it.
Depending how you created your Observables, they may not have started to emit any items yet. Until now you were just creating and plugging the data pipes. In order to trigger the first task and make items flow in the stream you need to subscribe to it.
obs4.subscribe();
Wrapping up, you don't really have one single variable passing along the whole chain. You actually create an item in the first Observable, which notifies the second one when it gets ready, and so on. Additionally, each step (observable) transforms the data somehow. So, you have a chain of transformations.
RxJava follows a functional approach, applying high order functions (map, zip, filter, reduce) to your data. It's crucial to have this clear. Also, the data is always immutable: you don't really change an Observable, or change your own objects. It creates new instances of them, and the old objects will eventually be garbage collected. So obs1.zip(...) doesn't change obs1, it creates a new Observable instance, and you can assign it to a variable.
You can also drop the variable assignments (obs1, obs2, obs3 etc) and just chain all methods together. Everything is strongly typed, so the compiler will not let you plug Observables that don't match each other (output of one should match input of the next).
I hope it gives you some thoughts!
So I'm pretty new to both Scala and RX. The guy who knew the most, and who actually wrote this code, just left, and I'm not sure what's going on. This construct is all over his code and I'm not really clear what its doing:
def foo(List[Long]) : Observable[Unit] =
Observable {
subscriber => {
do some stuff
subscriber.onNext()
subscriber.onCompleted()
}
I mostly get do some stuff, and the calls to subscriber. What I don't get is, where does subscriber come from? Does subscriber => { instantiate the subscriber? What does Observable { subscriber => { ... } } do/mean?
If you take a look at the Observable companion object documentation, you will see an apply method that takes a function of type (Subscriber[T]) ⇒ Unit. So, when you call Observable{withSomeLambda}, then this is the same as calling Observable.apply{withSomeLambda}
And, if you go all the way to the source code you will see that this is really returning
toScalaObservable(rx.Observable.create(f))
where f is the lambda that you passed in.
So, subscriber is just the parameter of the lambda. It is passed in by the caller of that function.
This code is creating a new Observable as described here.
Basically when a downstream component subscribes to this stream, this callback is called. In the callback we determine when we, as a data source, will call onNext(v: T) which is how we pass each element we are generating to them, and when we will call onCompleted() which is how we tell the subscriber that we are done sending data.
Once you have created an Observable you can start calling Observable operators, which will either result in another, compound Observable, or will result in a terminating condition which will end the process, and generally result in a final result for the flow (often a collection or aggregate value).
You don't use the List in your question, but normally if you wanted to make a reactive stream out of a list you would call Observable.from().
PS: I think this is RxJava code.