README

Async/parallel resource execution library for BEAR.Sunday

Why BEAR.Async?

BEAR.Async preserves your resource code. You choose an async execution mode at the application boundary — no async/await, no Promise, no yield, no rewrites of existing #[Embed] graphs.

#[Embed(rel: 'profile', src: 'app://self/user/profile?id={user_id}')]
#[Embed(rel: 'posts', src: 'app://self/user/posts?user_id={user_id}')]
#[Embed(rel: 'notifications', src: 'app://self/notifications?user_id={user_id}')]
public function onGet(int $user_id): static

These 3 embeds execute in parallel instead of sequentially.

Installation

composer require bear/async

Demo and Benchmarks

A runnable demo application lives in demo/. It builds separate Docker images for ext-parallel and ext-swoole, starts MySQL, seeds a dashboard resource graph with 8 independent SQL-backed GET embeds, and exposes Sync, ext-parallel, and Swoole entrypoints.

cd demo
docker compose up -d --wait parallel
docker compose exec parallel composer install
docker compose exec parallel composer app -- get 'app://self/dashboard?user_id=1'
docker compose exec parallel composer async -- get 'app://self/dashboard?user_id=1'

The demo also includes cold one-shot CLI benchmarks and steady-state HTTP benchmarks with wrk:

docker compose exec parallel composer parallel-benchmark
docker compose exec parallel composer steady-state-parallel
docker compose up -d --wait swoole
docker compose exec swoole composer swoole-benchmark
docker compose exec swoole composer steady-state-swoole

See the demo guide for setup details and benchmark results for measured numbers and adapter selection guidance.

Execution Modes

Parallel execution (ext-parallel)

Recommended for typical PHP-FPM / Apache web applications with embedded resources.

Add bin/async.php next to bin/app.php. It hands off to the library bootstrap, which overlays the ext-parallel runtime on the normal AppModule:

bin/async.php → vendor/bear/async/bootstrap.php → AppModule + runtime overlay

<?php // bin/async.php

declare(strict_types=1);

require dirname(__DIR__) . '/autoload.php';

$bootstrap = dirname(__DIR__) . '/vendor/bear/async/bootstrap.php';
if (! file_exists($bootstrap)) {
    throw new LogicException('"bear/async" is not installed.');
}

$defaultContext = PHP_SAPI === 'cli' ? 'cli-hal-api-app' : 'hal-api-app';
$context = getenv('APP_CONTEXT') ?: $defaultContext;

exit((require $bootstrap)(
    $context,
    'MyVendor\MyApp',
    dirname(__DIR__),
    $GLOBALS,
    $_SERVER,
));

Do not install the parallel runtime in AppModule directly. The bootstrap is the only supported install path so the same AppModule works under bin/app.php (sync) and bin/async.php (parallel) unchanged.

To override the worker pool size (default = CPU cores), pass it as the optional 6th argument:

exit((require $bootstrap)($context, 'MyVendor\MyApp', dirname(__DIR__), $GLOBALS, $_SERVER, 8));

Constraints

Worker Runtimes are separate threads with their own zend memory. Embedded resources executed via this module must satisfy:

Pure / idempotent — same input must yield same output. Workers do not share request-scoped state (no shared session, no shared logger context).
Each worker holds its own DI container — singletons in AppModule are not the same instance across threads. Avoid relying on "same-instance" guarantees inside parallelizable embeds.
Payload copyability — arguments passed across the thread boundary (currently the query array) and return values ($ro->body or the rendered string) must be scalar / null / nested arrays of those. Objects, closures, and resources will fail fast via NonCopyablePayloadException.
Interceptors that mutate request-local state will misbehave across worker boundaries. Keep cross-cutting concerns idempotent or scope them outside the parallelized embed graph.

Scope

This module targets PHP-FPM / Apache style request-per-process runtimes. For long-running Swoole HTTP Server use AsyncSwooleModule instead — its coroutines share the same process memory and do not have the cross-thread copyability constraint.

Swoole execution (ext-swoole)

For applications already running on Swoole HTTP Server with high concurrency requirements.

ext-parallel uses worker runtimes, so it is selected by a separate entrypoint. ext-swoole runs inside one server process, so it is installed as an application module.

use BEAR\Async\Module\AsyncSwooleModule;
use BEAR\Async\Module\PdoPoolEnvModule;
use Ray\Di\AbstractModule;

class AppModule extends AbstractModule
{
    protected function configure(): void
    {
        $this->install(new PackageModule());
        $this->install(new AsyncSwooleModule());
        $this->install(new PdoPoolEnvModule(
            'PDO_DSN',
            'PDO_USER',
            'PDO_PASSWORD',
        )); // Connection pool required
    }
}

Which execution mode should I use?

Use Case	Entrypoint	Runtime setup
PHP-FPM / Apache with embedded resources	`bin/async.php`	library bootstrap overlay
Swoole HTTP Server	`bin/swoole.php`	`AsyncSwooleModule` (in AppModule)

Comparison

	ext-parallel	ext-swoole
Concurrency	Thread pool (CPU cores)	Coroutines (thousands)
Memory	Separate per worker	Shared (process-level)
PDO handling	Isolated per thread	Connection pool required
Server	PHP-FPM / Apache	Swoole HTTP Server
Setup	Add `bin/async.php`	Add `bin/swoole.php`

How It Works

The AsyncLinker replaces the standard Linker to enable parallel execution of resource requests:

Level-by-level execution: Requests are processed level by level
Request deduplication: Same requests are merged and executed only once
Result caching: Results are cached to avoid redundant requests

Level 1: Users → all user requests execute in parallel
Level 2: Posts for each user → all post requests execute in parallel
Level 3: Comments for each post → all comment requests execute in parallel

Documentation

Demo Guide - Docker-based demo for Sync, ext-parallel, and Swoole
Benchmark Results - Measured cold CLI and steady-state HTTP results with adapter selection guidance
Parallel Execution Architecture and Performance Analysis - Deep dive into architecture, AWS instance recommendations, and cost savings projections

Requirements

PHP 8.2+ for the library itself. Each execution mode adds its own runtime requirement:

Mode	Requires	Application change
ext-parallel	ZTS PHP + ext-parallel	add `bin/async.php`
ext-swoole	ext-swoole	install `AsyncSwooleModule`, use `bin/swoole.php`

SQL Resources with BDR + `#[Embed]`

To run multiple SQL queries for one page, split each query into its own ResourceObject and let #[Embed] parallelize them via AsyncLinker. Combined with Ray.MediaQuery's BDR pattern (#[DbQuery] interface + factory + immutable domain object), SQL stays in var/sql/*.sql, the call site reads as plain objects, and the resource graph itself is what gets parallelized.

Recipe dependency (not bundled with BEAR.Async):

composer require ray/media-query

use BEAR\Resource\Annotation\Embed;
use BEAR\Resource\ResourceObject;
use Ray\MediaQuery\Annotation\DbQuery;

// Domain object — immutable snapshot
final class UserAccount
{
    public function __construct(
        public readonly int $id,
        public readonly string $name,
    ) {
    }
}

// Repository — SQL lives in var/sql/user.sql.
// UserFactory hydrates the row into UserAccount; see BDR_PATTERN.md for factory details.
interface UserRepositoryInterface
{
    #[DbQuery('user', factory: UserFactory::class)]
    public function getUser(int $id): UserAccount;
}

// Resource — one resource per SQL
class User extends ResourceObject
{
    public function __construct(private UserRepositoryInterface $repo)
    {
    }

    public function onGet(int $id): static
    {
        $this->body = ['user' => $this->repo->getUser($id)];

        return $this;
    }
}

// Aggregate — Embeds parallelize automatically under AsyncLinker
class UserDashboard extends ResourceObject
{
    #[Embed(rel: 'user',     src: 'app://self/user{?id}')]
    #[Embed(rel: 'posts',    src: 'app://self/user/posts{?id}')]
    #[Embed(rel: 'comments', src: 'app://self/user/comments{?id}')]
    public function onGet(int $id): static
    {
        return $this;
    }
}

SQL stays in var/sql/*.sql (Ray.MediaQuery convention)
Domain objects are immutable snapshots; no $results['user'][0] ?? null plumbing at the call site
AsyncLinker runs the three embeds in parallel via ext-parallel (PHP-FPM / Apache) or Swoole coroutines
Without ext-parallel and without Swoole the same code runs synchronously per request, which is fine for PHP-FPM (each request is its own process)
For Swoole, install PdoPoolModule so each coroutine borrows a pooled PDO connection

bear / async

Maintainers

Package info

Statistics

Security

README

Why BEAR.Async?

Installation

Demo and Benchmarks

Execution Modes

Parallel execution (ext-parallel)

Constraints

Scope

Swoole execution (ext-swoole)

Which execution mode should I use?

Comparison

How It Works

Documentation

Requirements

SQL Resources with BDR + `#[Embed]`

bear / async

Maintainers

Package info

Statistics

Security

README

Why BEAR.Async?

Installation

Demo and Benchmarks

Execution Modes

Parallel execution (ext-parallel)

Constraints

Scope

Swoole execution (ext-swoole)

Which execution mode should I use?

Comparison

How It Works

Documentation

Requirements

SQL Resources with BDR + #[Embed]

SQL Resources with BDR + `#[Embed]`