Generators beyond xrange

Leia em Português


Generators are much more than using the yield keyword to avoid using arrays (like the xrange function). They provide us with the power of async, coroutines and dark magic 🧙‍!

If you seek a more complete and mind blowing explanation, please read this article from 2012 by nikic.

What are Generators and what do they do?

Let's start from the official documentation. We'll find many clues from there!

Generators are a php feature since version 5.5, as you can see from the generators RFC.

The main idea of Generators is to provide a simple way to write iterators without having to implement the Iterator interface. Generators also provide us with a way of interrupting code execution, which is extremelly cool!

The way it works is by using the yield keyword inside functions. By doing this the return type of your function automatically turns into \Generator.

So be aware! The code below breaks because forces a return type but the generator changes it to another:

// String as return type, fails
function myGeneratorFunction(): string
  yield 'Generators'; // Transform the return type into \Generator

  // Fatal Error: return type is \Generator, we're returning string
  return 'The PHP Website';

By allowing us to interrupt code execution, it naturally provides a way to better manage memory usage in our php programs. There's a very famous script that illustrates this:

// Regular range
foreach (range(1, 10000) as $n) {
  echo $n . PHP_EOL;

// Generator-based range
function xrange(int $from, int $to) {
  for ($i = $from; $i <= $to; $i++) {
    yield $i;

foreach (xrange(1, 10000) as $n) {
  echo $n . PHP_EOL;

The difference? Over simplification alert: range() allocated memory for 10,000 integers, while xrange() allocated memory for only one.

You probably knew this since 2012, yes. Let's just quickly summarize this part and jump to the fun!

What PHP Generators do?

Generators provide us with a simple way of creating iterators with no need to implement the Iterator interface and allow code interruption for better memory management or any sort of crazy stuff you might want to come up with.

Below I'll show a generator sample and comment out some terms. If while readig this text you find a keyword you find weird, come back to this sample ;)

// Generator function
function xrange(): \Generator {
  // Generator's context/body/scope
  while (true) {
    yield 1;

$xrange = xrange();
$xrange->next(); // Pulls next yield

What you possibly don't know about php Generators, though...

The amazing feature from generators that people often miss is the capacity of pushing values back to the generator function.

Basically when you yield inside a generator function, code stops executing there and goes back to the upper context (caller's context). From there, though, the caller context can actually push values inside the generator function's context.

This creates a great set of opportunities for building amazing tools that negotiate processing flow for you. Including coroutines, asynchronous programming and optimizing data fetching. You'll love this last one, bare with me!

How to push data back to the generator function?

Actually is quite simple. A Generator object contains all Iterator methods and a few more. One of them is the Generator::send() method, which is used to push data back to the generator function's context.

The way it works is the following: 1. The caller triggers the generator function execution 1. The generator function yields something, interrupting the code execution and coming back to the caller 1. The caller calls the generator's send() method, which pushes a value as a result of the previous yield statement 1. Generator function keeps executing with this value now available.

Less words, more code:

function myGenerator(): Generator
  // 2. yield something back to the caller
  $twenty = yield 10;

  // 4. Keep execution with new value

$gen = myGenerator();
// 1. Trigger execution
$ten = $gen->current();

// 3. Push back a value to generator
$gen->send($ten * 2);

// Output: int(20)

That's pretty much everything you'd want to know about Generators. I mean, you can also throw exceptions to the generator function's context by using Generator::throw() method. But that's actually everything...

But of course we have more to see! You didn't expect me to come here with content you could easily find anywhere else, did you?

By following nikic's post (the 2012 post mentioned above) you can extract much deeper and detailed information on what you can do with php Generators. Go ahead and read it as many times you feel like is necessary to absorb the idea.

That's all theory and it is really cool. But there are some amazing concrete applications of Generators that can change your life or at least bring you to consider a different paradigm.

What are PHP Generators used for?

I'd like to present you two great applications for php Generators. One is open source and can be used right away, the other one is more of a concept and you'd have to develop something by your own.

Async development: how Amp framework works

I know, you probably already heard about Amp framework and how it can help you developing async code with PHP.

But I'm here to take you out from the user land. I want you to ponder about how it was implemented and have at least a broad view on how it works and heavily depend on Generators.

Consider the following incomplete example:

Amp\Loop::run(function () {
  $socket = yield connect(

  // object(EncryptableSocket)

Pooah, so many things happening here...

Begin with the idea that Amp\Loop::run() creates an Event Loop. If you don't know what an event loop does, stop here and go read a bit about it. You'll find things about React PHP and Node.JS.

In fact, please learn a bit about React PHP and how it enqueues tasks to run and how it polls for changes on I/O operations, allowing you to perform async programming with PHP.

The thing is that this Event Loop from Amp is very special because it is not only an event loop. It also watches for yielded values and expects your callback function to be a Generator function!

So besides doing the whole tasks queue and monitoring I/O operations to keep you unblocking the main thread, it will also handle values you yield.

By equiping itself with React Promises it emulates an await/async feature on PHP.

But how?

If you look close to the implementation of the connect function you'll notice that it returns a Promise that when resolved will return an EncryptableSocket object.

So connect('localhost:443'); actually returns a Promise instance. How come $socket contains EncryptableSocket instead?

The moment we yield a Promise instance inside the Event Loop, Amp will wait for this promise to resolve or reject. So it either pushes the resolved value back OR throws an exception inside your generator function.

Really, how cool is that!

Does it mean you should write your applications like this from now on? Maybe, maybe not...

Even though it is really really cool that we don't need to hope for async/await to be integrated to the core library, this approach feels a bit invasive for type freaks.

First of all, it forces you to always have Generator as return type for your main loop. Which is fine. But then, in order to take real advantage on this we also need to return Promises everywhere.

Which is also fine, JavaScript people do this all the time and don't freak out. But without Type Generics we can't really enforce that a certain Promise will resolve a certain type.

If you're fine with it, go ahead. There's a whole new world to be explored! Just check out the currently available packages on Amp Framework so you don't reinvent the wheel.

Optimized data retrieval with Generators

We're in this kind of web api era, which is really cool. There are many patterns to follow as API provider in PHP: SOAP, REST, GraphQL... This leaves little space for traditional MVC applications as we used to see a couple of years ago.

Things like REST tend to decrease our data dependency tree a lot: you specialize in one resource per URL, which eventually you can precompute and place in a very fast data storage.

But whenever you think of multiple data sources to compose a response Generators can be an incredible tool to optimize our timings and resource usage.

For REST APIs maybe not, but thinking of GraphQL it is natural that resource fetching management is important. Performance talks and we're empowered to make it right.

In this amazing presentation by Bastian Hoffmann we can get some inspiration from the moment he starts talking about widgets. The whole idea of having a core request handler for a resource type that is composed of other, smaller, resources and having this dependency tree organized can yield great benefits.

Imagine the following GraphQL request (syntax simplified):

  person {
  team {
    people {

The array of people might contain the same person object among its elements so why request person twice? Just because once only "name" was requested and the later case "name" and "age"? We can optimize this to a single call.

So why not having something similar to the following?

// PersonType.php
yield DataRequirement::craft(

// PeopleType.php
yield DataRequirement::craft(
  ['name', 'age'],

Looks a tad weird, right? It is indeed, given php engineers usually have a very straight forward life cycle on their applications.

Just imagine how cool that would be if the handler calling PersonType.php would be the same as the one calling PeopleType.php and by yielding those requirements a Resolver would understand they need the exact same entity and optimize the REST/SOAP/MongoDB request to fetch only necessary fields once.

I recently started a POC on how to develop such thing. It looks like the following snippet (which you can also find here).

public function fetchSitemaps(): Generator
  // Wrap a service to always return a Promise.
  // Could be done via Annotations maybe
  $sitemapProvider = wrap($this->sitemapService);

  list($this->en, $this->br) = yield [

  // Here $this->en and $this->br are
  // populated with getSitemap() results

The more I kept developing this POC, the more it looked like Amphp. So I guess that'd be the way to go.

In general, I see great potential on Coroutines for PHP and would love to see this side of the language developing more.

Let me know what you think! Just ping me on Twitter and develop this idea together 😉