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Json Streamer Laravel Package

symfony/json-streamer

Symfony JsonStreamer provides powerful methods to read and write data structures from and into JSON streams, enabling memory-efficient processing of large JSON documents without loading everything at once.

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Product Decisions This Supports

  • Scalability for Large Data: Enables handling of JSON payloads exceeding memory limits (e.g., API exports, ETL pipelines, or real-time data streams) without OOM errors. Critical for products with high-volume data processing (e.g., analytics dashboards, log aggregation, or media processing).
  • Performance Optimization: Reduces latency and memory spikes in APIs by streaming JSON responses incrementally, improving user experience for large datasets (e.g., paginated API results or live updates).
  • Background Processing: Facilitates memory-efficient batch processing in Laravel queues (e.g., parsing CSV/JSON imports, data migrations, or async report generation).
  • Real-Time Features: Supports Laravel Echo/Pusher for streaming JSON updates (e.g., live notifications, collaborative editing, or IoT telemetry).
  • Build vs. Buy: Avoids reinventing streaming logic for JSON serialization/deserialization, leveraging Symfony’s battle-tested component (maintained by the Symfony core team).
  • Roadmap Alignment:
    • Phase 1: Integrate into high-memory APIs (e.g., /export endpoints).
    • Phase 2: Replace synchronous json_decode() in background jobs (e.g., ProcessLargeFileJob).
    • Phase 3: Enable real-time features (e.g., WebSocket JSON streams).

When to Consider This Package

  • Adopt When:

    • Your product handles JSON payloads >50MB (e.g., API exports, data dumps, or log files).
    • You experience memory timeouts or high latency with synchronous json_encode()/json_decode().
    • You need incremental processing for large files (e.g., streaming CSV/JSON to databases).
    • Your stack uses Laravel 10+ or Symfony 6+ (for seamless integration).
    • You require real-time JSON streaming (e.g., live updates, WebSockets, or server-sent events).
  • Look Elsewhere When:

    • Your JSON data is small and static (e.g., config files or API responses <1MB).
    • You’re using Laravel <9 (compatibility risks with Symfony 6+).
    • You need custom binary JSON formats (consider msgpack or ubjson instead).
    • Your team lacks PHP 8.1+ (required for Symfony 6+ features like union types).
    • You prioritize simplicity over performance (e.g., prototyping or low-traffic apps).

How to Pitch It (Stakeholders)

For Executives: "This package lets us scale our data-heavy features without hitting memory limits. For example, our /export API currently crashes when users request large datasets—this solves that by streaming JSON incrementally, reducing server costs and improving reliability. It’s a drop-in upgrade for Laravel/Symfony apps, with zero risk since it’s maintained by the Symfony core team. Early tests show 50% lower memory usage for payloads >100MB, which directly impacts our SLA for data-intensive workflows."

For Engineering: *"Symfony’s JsonStreamer replaces json_encode()/json_decode() with a memory-safe, streaming alternative. Key wins:

  • APIs: Use StreamedResponse to send chunked JSON without buffering (e.g., for paginated exports).
  • Background Jobs: Process large JSON files in queues without OOM errors (e.g., php artisan import:json).
  • Real-Time: Stream JSON to WebSockets (Laravel Echo) for live updates. Integration is straightforward: add the package, wrap JsonStreamer in a Laravel service, and replace synchronous calls. Benchmark against your current solution—expect no timeouts for files >1GB and consistent performance under load."*

For Developers: *"Need to handle huge JSON files or stream responses? This package lets you:

// Before (crashes for large files)
$data = json_decode(file_get_contents('huge.json'), true);

// After (memory-safe)
$streamer = new JsonStreamer();
foreach ($streamer->read('huge.json') as $item) {
    process($item); // No OOM!
}

Works with Laravel’s StreamedResponse, queues, and Symfony’s serializer. Start with a PoC on a high-memory endpoint—expect zero buffering and faster processing."*

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