— RxJava, Kotlin, Observables — 1 min read
RxJava's zip
operator is a powerful tool for combining emissions from multiple Observables into a single stream of emissions. It achieves this by applying a user-defined function to corresponding items emitted by each Observable.
This article will guide you through using zip
in Kotlin, providing clear explanations and examples.
zip
zip
takes two or more Observables as arguments. It waits for each Observable to emit at least one item before combining them.zip
pairs corresponding emissions from each Observable based on their order of emission. The first emitted item from each Observable is used for the first combination, and so on.zipFunction
) that defines how to combine the matched emissions. This function takes the corresponding items from each Observable as arguments and returns a single value.zip
completes only when all source Observables complete successfully. If any Observable emits an error, zip
propagates the error immediately to its downstream subscriber, terminating the stream.zip
(Examples)1. Combining Two Observables:
1val observable1 = Observable.just(1, 2, 3)2val observable2 = Observable.just("a", "b", "c")3
4val zippedObservable = observable1.zipWith(observable2, { num, letter -> "$num$letter" })5
6zippedObservable.subscribe { combined -> println(combined) } // Output: 1a, 2b, 3c
This example combines two Observables emitting numbers and letters, respectively. The zipFunction
creates a string by concatenating each number with its corresponding letter.
2. Combining More Than Two Observables:
1val observable3 = Observable.interval(0, 1, TimeUnit.SECONDS) // Emits every second2
3val combinedObservable = Observable.zip(4 observable1,5 observable2,6 observable3,7 { num, letter, time -> "[$time] $num$letter" }8)9
10combinedObservable.subscribe { combined -> println(combined) }11// Output: [0] 1a, [1] 2b, [2] 3c (may vary slightly due to timing)
This example demonstrates zip
with three Observables. It combines the number and letter emissions with a timestamp from the interval Observable, creating a formatted output string.
3. Handling Incomplete Emissions or Errors:
1val incompleteObservable = Observable.just(1, 2) // Only emits two items2
3zippedObservable = observable1.zipWith(incompleteObservable, { num, letter -> "$num$letter" },4 { throwable -> "Error: $throwable" })5
6zippedObservable.subscribe { combined -> println(combined) }7// Output: 1a, 2b (no further emissions due to incomplete Observable)8
9val errorObservable = Observable.error(Exception("Oops!"))10
11zippedObservable = observable1.zipWith(errorObservable, { num, letter -> "$num$letter" })12
13zippedObservable.subscribe { combined -> println(combined) } // Won't reach here due to error14 .onErrorResumeNext { throwable -> Observable.just("Error: $throwable") }15 .subscribe { combined -> println(combined) } // Output: Error: java.lang.Exception: Oops!
Here, we explore scenarios where one Observable might not emit enough items or an error occurs. The first example demonstrates handling an incomplete Observable using a custom function to handle the case where letter
might be null. The second example shows how onErrorResumeNext
can be used to recover from an error by emitting a new Observable with an error message.
Key Points:
zip
is ideal for combining emissions that have a meaningful relationship and need to be processed together.zip
to ensure your application behaves gracefully in case of issues with source Observables.By effectively utilizing zip
, you can streamline your RxJava code and create more complex data processing pipelines.