Completable empty = (completableSubscriber -> { The Completable API follows the concepts of the Reactive-Streams. Create, Lift and Transform. The Completable class has three additional standard helper interfaces, now becoming common with all RxJava. Creating a Single. Completable. Creating a Completable. Maybe. Creating a Maybe. RxCocoa traits. Driver. Why is it named Driver; Practical usage example.

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Clearer RxJava intentions with Single and Completable

The Completable API follows the concepts of the Reactive-Streams design where the way of letting the child ceeate cancel their upstream is enabled by calling an onSubscribe method with a Subscription instance. Returns a Completable which emits the terminal events from the thread of the specified scheduler. The add and remove methods have the copletable and familiar implementations that allows tracking the subscribed child CompletableSubscriber s.

Unlike Single RxJava does not allow an Observable to be converted to a Completable directly, because there is no way to know that an Observable will ever complete. Returns a Flowable which first delivers the events of the other Publisher then runs this Completable. Sign up or log in Sign up using Google.

Returns a Completable that runs this Completable and switches to the other Completable in case this Completable doesn’t complete within the given time.

This complicates the error management and tracking of completed students slightly: ActionCallableSingle and even Observable stripping any values generated by the latter 3 crezte course. There is no such factory method for Observablebut Completable completabble be made from Runnable. Note that if any of the observers to this Completable call dispose, this Completable will cancel the future.

Clearer RxJava intentions with Single and Completable

If more than one CompletableSource signals an error, the resulting Completable may terminate with the first one’s error or, depending on the concurrency of the sources, may terminate with a CompositeException containing two or more of the various error signals. The returned Completable honors the backpressure of the downstream consumer and expects the other Publisher to honor it as well.


Completable is only concerned with execution completion whether the task has reach to completion or some error has occurred. Returns an Observable which first delivers the events of the other Observable then runs this CompletableConsumable.

Why would you need anything else, right? The Publisher must follow the Reactive-Streams specification. What we want is to just be notified that the update succeeded. Worker is a Subscription and thus we can directly send it to the child CompletableSubscriber before scheduling the call to onCompleted. Subscription should be considered cancelled at that point and it works there because there is no way to check if a Subscription is cancelled or not.

Instead, extending the abstract Completable class and creating a CompletableTransformer with it is recommended. Since the Completable API features no values but only the terminal onError and onCompleted events, there are a way less meaningful operators possible unlike the main Observable class; therefore, most of the examples will feature an existing Completable operator.

If both this and the other sources signal an error, only one of the errors is signaled to the downstream and the other error is signaled to the global error handler via RxJavaPlugins.

Returns a Completable that when this Completable emits an error, retries at most times or until the predicate returns false, whichever happens first and emitting the last error. I have updated the answer.

This let’s you write an action that doesn’t require you to wrap the computation into a try-catch but mandates the return of some arbitrary competable ignored. Createe, let’s see what each notable point does: Completables by their nature are quite different from Observable and Single due to not emitting items. Constructs a Completable instance by wrapping the given source callback without any safeguards; you should manage the lifecycle and response to downstream disposal.

Returns a Completable that repeatedly subscribes to this Completable until disposed.


Dealing with exceptions Completable. The code that uses it can take a form like this:.

Returns a Completable that subscribes repeatedly at most the given times completaboe this Completable. Subscribes to this Completable and calls the given Action when this Completable completes normally. Handling the onXXX notifications isn’t that complicated either: Returns a Completable which calls the given onEvent callback with the throwable for an onError or null for an onComplete signal from this Completable before delivering said signal to the downstream.

The structure here starts out as with any other Subject before.

So the code could be simplified to: Completable behaves similarly to Observable except that it can only emit either a completion or error signal there is no onNext or onSuccess as with the other reactive types.

This is an alias for concatWith CompletableSource.

Returns a Completable that first runs this Completable and then the other completable. Check out the source code, these methods are pretty straightforward. Subscribes to this Completable instance and blocks until it terminates, then returns null or the emitted exception if any.

Returns a Completable which calls the given onError callback if this Completable emits an error. Regardless, let’s see a few examples. Description copied from interface: CompletableSubject public abstract class Completable extends Object implements CompletableSource The Completable class represents a deferred computation without any value but only indication for completion or exception.

The terminal event semantics is also the same as in Reactive-Streams. For example, if the operator decided completablle is no reason to subscribe to the upstream source because of some optimization possibility or a failure to prepare the operator, it still has to return a CompletableObserver that should immediately dispose the upstream’s Disposable in its onSubscribe method.