13.
Resource Management
Written by Florent Pillet
Heads up... You’re accessing parts of this content for free, with some sections shown as text.
Heads up... You’re accessing parts of this content for free, with some sections shown as text.
Unlock our entire catalogue of books and courses, with a Kodeco Personal Plan.
Unlock now
In previous chapters, you discovered that rather than duplicate your efforts, you sometimes want to share resources like network requests, image processing and file decoding. Anything resource-intensive that you can avoid repeating multiple times is worth looking into. In other words, you should share the outcome of a single resource – the values a publisher’s work produces – between multiple subscribers rather than duplicate that outcome.
Combine offers two operators for you to manage resources: The share() operator and the multicast(_:) operator.
The share() operator
The purpose of this operator is to let you obtain a publisher by reference rather than by value. Publishers are usually structs: When you pass a publisher to a function or store it in several properties, Swift copies it several times. When you subscribe to each of the copies, the publisher can only do one thing: Start the work it’s designed to do and deliver the values.
The share() operator returns an instance of the Publishers.Share class. This new publisher “shares” the upstream publisher. It will subscribe to the upstream publisher once, with the first incoming subscriber. It will then relay the values it receives from the upstream publisher to this subscriber and to all those that subscribe after it.
Note: New subscribers will only receive values the upstream publisher emits after they subscribe. There’s no buffering or replay involved. If a subscriber subscribes to a shared publisher after the upstream publisher has completed, that new subscriber only receives the completion event.
To put this concept into practice, imagine you’re performing a network request, like you learned how to do in Chapter 9, “Networking.” You want multiple subscribers to receive the result without requesting multiple times. Your code would look something like this:
let shared = URLSession.shared
.dataTaskPublisher(for: URL(string: "https://www.raywenderlich.com")!)
.map(\.data)
.print("shared")
.share()
print("subscribing first")
let subscription1 = shared.sink(
receiveCompletion: { _ in },
receiveValue: { print("subscription1 received: '\($0)'") }
)
print("subscribing second")
let subscription2 = shared.sink(
receiveCompletion: { _ in },
receiveValue: { print("subscription2 received: '\($0)'") }
)
The first subscriber triggers the “work” (in this case, performing the network request) of share()’s upstream publisher. The second subscriber will simply “connect” to it and receive values at the same time as the first.
Running this code in a playground, you’d see an output similar to:
subscribing first
shared: receive subscription: (DataTaskPublisher)
shared: request unlimited
subscribing second
shared: receive value: (153217 bytes)
subscription1 received: '153217 bytes'
subscription2 received: '153217 bytes'
shared: receive finished
Using the print operator‘s output, you can see that:
- The first subscription triggers a subscription to the
DataTaskPublisher. - The second subscription doesn’t change anything: The publisher keeps running. No second request goes out.
- When the request completes, the publisher emits the resulting data to both subscribers then completes.
To verify that the request is only sent once, you could comment out the share() line and the output would look similar to this:
subscribing first
shared: receive subscription: (DataTaskPublisher)
shared: request unlimited
subscribing second
shared: receive subscription: (DataTaskPublisher)
shared: request unlimited
shared: receive value: (153217 bytes)
subscription1 received: '153217 bytes'
shared: receive finished
shared: receive value: (153217 bytes)
subscription2 received: '153217 bytes'
shared: receive finished
You can clearly see that when the DataTaskPublisher is not shared, it receives two subscriptions! And in this case, performs the request twice.
But there’s a problem: What if the second subscriber comes after the request has completed? You could simulate this case by delaying the second subscription. Don’t forget to uncomment share() if you’re following along in a playground:
var subscription2: AnyCancellable? = nil
DispatchQueue.main.asyncAfter(deadline: .now() + 5) {
print("subscribing second")
subscription2 = shared.sink(
receiveCompletion: { print("subscription2 completion \($0)") },
receiveValue: { print("subscription2 received: '\($0)'") }
)
}
Running this, you’d see that subscription2 receives nothing if the delay is longer than the time it takes for the request to complete:
subscribing first
shared: receive subscription: (DataTaskPublisher)
shared: request unlimited
shared: receive value: (153217 bytes)
subscription1 received: '153217 bytes'
shared: receive finished
subscribing second
subscription2 completion finished
By the time subscription2 is created, the request has already completed and the resulting data has been emitted. How can you make sure both subscriptions receive the request result?
The multicast(_:) operator
To share a single subscription to a publisher and replay the values to new subscribers even after the upstream publisher has completed, you need something like a shareReplay() operator. Unfortunately, this operator is not part of Combine. However, you’ll learn how to create one in Chapter 18, “Custom Publishers and Handling Backpressure.”
Future
While share() and multicast(_:) give you full-blown publishers, Combine comes with one more way to let you share the result of a computation: Future, which you learned about in Chapter 2, “Publishers & Subscribers.”
Key points
- Sharing subscription work is critical when dealing with resource-heavy processes, such as networking.
- Use
share()when you simply need to share a publisher with multiple subscribers. - Use
multicast(_:)when you need fine control over when the upstream publisher starts to work and how values propagate to subscribers. - Use
Futureto share the single result of a computation to multiple subscribers.
Where to go from here?
Congratulations for finishing the last theoretical mini-chapter for this section!