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Channel Laravel Package

php-standard-library/channel

A lightweight PHP standard library component that provides a channel abstraction for passing messages between producers and consumers. Useful for simple concurrency patterns, pipelines, and event-style communication with a minimal, dependency-free API.

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Message-passing channels for async communication, inspired by Go and Rust

Frequently asked questions about Channel
Can I use this package in Laravel to replace Redis queues for internal task coordination?
This package is designed for in-memory, lightweight communication—not a direct replacement for Laravel queues. It’s best for short-lived, internal workflows (e.g., passing data between services in a microservice) where persistence isn’t needed. For durable tasks, pair it with Laravel’s queue system or a database fallback.
How do I install and initialize a channel in a Laravel app?
Install via Composer: `composer require php-standard-library/channel`. Initialize a channel in your service: `$channel = new BufferedChannel(10);` or `$channel = new UnbufferedChannel();`. No Laravel service provider is included, so register it manually in your app’s bootstrap or use a facade wrapper if preferred.
Will this work with Laravel’s built-in queue system (e.g., database/Redis drivers)?
Yes, but use them for separate purposes: channels for in-memory, high-speed coordination (e.g., worker pools) and queues for persistence. Avoid mixing them for the same task to prevent race conditions or duplicate processing. Test thoroughly if combining both in a hybrid workflow.
Does this package support PHP 8.2+ and Laravel 10/11?
The package requires PHP 8.1+, but check the latest release notes for Laravel compatibility. As of 2026, it lacks explicit Laravel integration (e.g., service providers), so you’ll need to manually bind it in your `AppServiceProvider` or use a facade. Test with your Laravel version to confirm no conflicts.
How do I handle message persistence if my app restarts?
Channels are in-memory only—messages are lost on process restart. For critical data, implement a fallback (e.g., store messages in a database or Redis before sending them through the channel). This package isn’t designed for persistence; use Laravel queues or a message broker for that.
Can I use this with Swoole or RoadRunner for async PHP?
Yes, this package works with event-loop-based runtimes like Swoole or RoadRunner, as it’s built for fiber/async contexts. However, avoid mixing it with pcntl-based concurrency in the same app, as that can cause deadlocks. Test thoroughly in your target environment.
What’s the difference between buffered and unbuffered channels?
Buffered channels hold messages up to their capacity (e.g., `BufferedChannel(5)` stores 5 items) and return immediately when full. Unbuffered channels block the sender until a receiver is ready. Choose buffered for rate-limiting or unbuffered for strict synchronization (e.g., producer-consumer patterns).
How do I test channels in Laravel’s PHPUnit?
Mock channels in unit tests using PHPUnit’s mocking tools. For example, replace a `BufferedChannel` with a mock that tracks sent/received values. Integration tests should verify message flow between services, but avoid testing channel internals—focus on behavior. Use `expectException(ChannelClosedException)` for error cases.
Are there alternatives to this package for Laravel concurrency?
For Laravel, consider Laravel’s built-in queues (Redis/database) for persistence, or ReactPHP’s `Channel` for async PHP. If you need lightweight in-memory channels, Swoole’s `Channel` (for Swoole-only apps) is another option. This package stands out for its Go-like API and fiber support, but lacks Laravel-specific integrations.
How do I debug deadlocks or stuck channels in production?
Log channel states (e.g., `send()`/`receive()` calls) and monitor for blocked operations. Use timeouts (e.g., `send($data, 1000)`) to avoid indefinite hangs. For complex flows, add instrumentation (e.g., track message IDs or timestamps) to trace bottlenecks. Avoid pcntl in production unless you’re using a forked PHP environment.
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