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From traditional to reactive

Published: at 12:00 AM

Brent Simmons has a series of posts about Reactive vs “Traditional” which sound a lot like the arguments we’re having internally as a team lately. I’ve gotten into RxSwift in the past months and believe it’s a great solution to a number of problems, but it is indeed a big dependency and has a steep learning curve.

I find RxSwift declarative style much easier to read and follow than the imperative counterparts, but it took a while to get there. I remember struggling for months learning to think in terms of streams, and I was really motivated to learn it.

But I thought I’d take some time to take the example in Comparing Reactive and Traditional, as I don’t think it’s a fair comparison (and not in the way you might expect). You can download all the steps in a playground: Traditional to Reactive.playground.

My first “refactor” was just to clean up the code enough to compiled without errors, so I can put it on a playground.

Then I addressed what I found most confusing about the traditional implementation, which is all that throttling logic scattered around the view controller. There’s no need to go reactive there, we just need to contain all that logic and state in one place: Throttle. This is a generic class that takes a timeout and a callback, and you can send new values or cancel. It will call callback after timeout seconds since the last input unless a new input happens. Note that this class is generic and doesn’t need to know anything about the values. It is also easily testable.

https://gist.github.com/koke/18951400e7dee559fad8e1a5096909ec

This leaves us with a simpler view controller, but we still have some logic in there that’s not really specific and could be extracted: keeping only the last request and canceling the previous one. I’ve called this SwitchToLatest, and it couldn’t be simpler: it just has a switchTo method that keeps a reference to the task, and calls cancel on it whenever there’s a new one. It uses a new Cancelable protocol since we don’t really care about what the task is, we just need to know that we can cancel it. Also really easy to test.

https://gist.github.com/koke/2189a797e8b18573a772c8a34cb1e423

And this is how the final ViewController looks:

https://gist.github.com/koke/bba95f0d0a8706f973c2d0dc6208d25d

Here’s where I think the fair comparison starts. The traditional version has all the behaviors we want in units with a single responsibility, and the view controller takes these building blocks to do what it needs.

What RxSwift brings to the table is the ability to compose these units and a common pattern for cancellation. What you can’t do here is take Throttle and pipe its output into SwitchToLatest. But in this case, that’s fine.

The live search example is typically a nice example of reactive code as it showcases all of it’s features: streams of values, composition of operators, side effects on subscription, and disposables/cancellation. But as we’ve seen, it doesn’t work as a way for reactive code to prove its value, as the traditional counterpart is simple enough.

Compare this to the thing I was trying to write in RxSwift.

When written in RxSwift it was already a complex logic to follow, and I even had to write a couple of custom operators (pausable and retryIf). There’s no silver bullet, and that’s also true for RxSwift, but I believe it can help. I can’t imagine reasoning about all the possible states in a more traditional design.

I also would argue (although someone might disagree) that any time you use NSNotificationCenter, NSFetchedResultsController, or KVO, you are already doing some sort of reactive programming, just not in a declarative way.


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