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Parallel Bridge Laravel Package

publicplan/parallel-bridge

Parallel Bridge integrates Laravel with parallel execution, making it simple to run isolated PHP tasks concurrently. It keeps Laravel's container and services available inside workers, so you can offload expensive work, process jobs in parallel, and improve performance without custom plumbing.

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Getting Started

  1. Install via Composer: composer require publicplan/parallel-bridge. The package follows PSR-4 autoloading only — no bundle registration is required unless the README for the tagged version says otherwise. Check composer.json first to confirm what runtime it bridges (typically amphp/parallel, spatie/fork, or ext-parallel) and whether that peer dependency is already installed.
  2. Skim the repo in this order: README.md → src/ (the public service/interface names) → tests/ (the tests are the only reliable documentation for a 3-star package). Note that with so few dependents, examples are sparse — treat the test suite as canonical usage.
  3. Wire the main service into config/services.yaml (autowiring should pick it up if the package registers its services). Verify with bin/console debug:container | grep -i parallel.
  4. First use case: parallelize a fan-out of independent, I/O-bound tasks (HTTP calls, external API lookups, file scans). Do not start with CPU-bound work — forked/threaded workers add serialization overhead that rarely pays off for small or CPU-heavy closures.

A minimal smoke test in a console command:

foreach ($tasks as $task) {
    $executor->add($task);          // enqueue
}
$results = $executor->wait();       // or ->run()

If that returns the same array shape you put in, you're wired up correctly.

Implementation Patterns

  • Batch fan-out in commands: pull the parallel runner into a Symfony\Component\Console\Command\Command and chunk input into groups sized to min(cpu_count, n). This is the most common day-to-day use — offline imports, syncs, report generation.
  • Service wrapper pattern: wrap the bridge in your own ParallelRunner service rather than injecting the raw bridge everywhere. This isolates the low-level API and makes it swappable when (not if) you migrate off a 3-star dependency.
  • Result aggregation: have workers return plain scalars or arrays; aggregate in the parent. Avoid returning entities or services across the boundary.
  • Messenger integration: for long-running job batches, enqueue per-task messages onto a Messenger transport and use multiple messenger:consume workers instead of forking inside a single process. The bridge is best for short-lived, in-process parallelism; Messenger is better for durable pipelines.
  • Testing: mock the executor interface in unit tests; run the real bridge only in integration tests, and keep worker counts at 1–2 in CI to avoid flaky serialization failures.
  • Config-first tuning: expose pool size / timeout as parameters in config/packages/parallel_bridge.yaml (or your own bundle config) so ops can tune without code changes.

Gotchas and Tips

  • Serialization boundaries: workers run in separate processes/threads. Closures capturing $this, Symfony services, or Doctrine entities will fail or silently lose state. Pass plain data (arrays, scalars, DTOs with #[Serializable]-style shapes).
  • Peer dependency mismatch: the package is a bridge — the real work is done by amphp/parallel, spatie/fork, etc. Pin that peer version explicitly in your composer.json; bridge releases rarely constrain it tightly enough.
  • Debugging interleaved output: worker echo/dump calls may interleave or vanish. Log to files (Monolog channels per worker) or return structured results and print in the parent. Xdebug inside forked workers is often broken — disable it in worker contexts.
  • Autoloader in forked children: if you fork from a Composer dev context, ensure vendor/autoload.php is loaded in the child. Some bridges do this; some don't. Test under APP_ENV=prod before trusting it.
  • Error propagation: exceptions thrown in a worker are often wrapped or dropped. Decide in your wrapper whether a single failing task aborts the batch or returns a partial result set — the bridge usually won't decide for you.
  • Container bootstrapping: each worker may boot a fresh kernel, which means DB connections, env vars, and cache warmers run per worker. Account for connection-pool exhaustion with large pools.
  • Project risk: 3 stars, 0 dependents, single-primary license. Vendor a copy or wrap behind an interface so a composer remove is a one-file change. Watch the repo for the last-pushed date — if it's stale, plan to migrate.
  • Extension points: check for a ParallelExecutorInterface or similar in src/; that (not the concrete class) is what you should type-hint in your own services so you can plug in a fake or a replacement later.
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