Php Document Store Laravel Package

Product Decisions This Supports

• Standardization Across Microservices: Enables consistent document storage interfaces across Laravel-based microservices, reducing technical debt from ad-hoc implementations (e.g., custom MongoDB/PostgreSQL adapters). Aligns with modular architecture goals.
• Event-Sourcing/CQRS Roadmap: Critical for projects adopting event-driven architectures where documents act as read models or event snapshots. Integrates seamlessly with event-engine/persistence for projection pipelines.
• Build vs. Buy Decision:
  • Buy: Use the package’s contract + in-memory store for testing and prototyping.
  • Build: Extend the contract to create custom backends (e.g., Elasticsearch, DynamoDB) or Laravel-specific adapters (e.g., Eloquent integration).
  • Avoid Reinventing: Eliminates need to build CRUD/indexing logic from scratch.
• Key Use Cases:
  • Testing: In-memory store replaces mocking in unit/integration tests, improving reliability (e.g., testing event projections).
  • Multi-Environment Deployments: Switch between in-memory (dev), PostgreSQL (staging), and custom stores (prod) without code changes.
  • Partial Updates: Methods like replaceDoc and getPartialDoc optimize high-frequency writes (e.g., user profile updates) by avoiding full document merges.
  • Indexing: Named indices and unique constraints enable efficient querying (e.g., filterDocIds), reducing reliance on external search layers like Elasticsearch for simple use cases.

When to Consider This Package

• Adopt if:

  • Your Laravel application uses event sourcing, CQRS, or DDD and needs a standardized document store for read models or projections.
  • You require multi-backend support (e.g., in-memory for CI, PostgreSQL for production) with zero code changes in business logic.
  • Your team prioritizes testability and wants to eliminate mocking complexity for document-heavy workflows.
  • You need fine-grained document operations (e.g., partial updates, conditional filters) without recursive merges (common in JSON-based stores).
  • You’re already using or planning to use event-engine/persistence for event storage and want alignment in your read model layer.
  • Your documents are moderate in size (not petabyte-scale) and don’t require advanced analytics (e.g., full-text search, geospatial queries).

• Look Elsewhere if:

  • You’re not using PHP/Laravel or need a managed service (e.g., Firebase, AWS DynamoDB).
  • Your documents are extremely large (e.g., binary blobs) or require real-time sync (consider Pusher, Socket.io, or Laravel Echo).
  • You need offline-first capabilities (this package is backend-only; pair with Laravel Sanctum or Passport for client-side auth).
  • Your team lacks PHP expertise or prefers a batteries-included solution (e.g., Laravel Scout for search, Eloquent for relational data).
  • You require complex aggregations (e.g., time-series data) and would rather use PostgreSQL with jsonb or a dedicated OLAP tool.

How to Pitch It (Stakeholders)

For Executives: *"This package lets us standardize how we store and retrieve documents across our Laravel services—whether for testing, event sourcing, or production—without locking us into a single database. Think of it as a universal adapter for document storage:

• Today: Use in-memory storage for fast, reliable tests.
• Tomorrow: Scale to PostgreSQL or other backends with minimal code changes.
• Long-term: Avoid technical debt from custom document storage logic.

It’s low-risk (MIT license, minimal dependencies) and high-reward for consistency and maintainability. The cost? A small upfront effort to integrate it—paying off in faster development cycles and easier scaling."*

For Engineering: *"This is a contract-first document store that gives us:

• Flexibility: Swap storage backends (e.g., in-memory → PostgreSQL) by implementing the DocumentStore interface—no business logic changes.
• Testing Superpowers: The built-in in-memory store eliminates mocking for document-heavy workflows (e.g., event projections). Write tests that run in milliseconds, not hours.
• Modern Features:
  • Partial updates (replaceDoc) avoid messy recursive merges.
  • Unique indices and conditional filters (AndFilter, OrFilter) enable efficient queries without external search layers.
  • Laravel Synergy: Integrates with the service container, Eloquent, and caching for hybrid architectures.
• Event Engine Alignment: Plays nicely with event-engine/persistence if we’re using it, reducing friction in event-sourcing pipelines.

Tradeoffs:

• We’ll need to write adapters for our preferred backends (e.g., Elasticsearch, DynamoDB), but the contract handles 80% of the boilerplate.
• The in-memory store isn’t production-ready for high throughput, but we can benchmark against Laravel’s cache or database for critical paths.

Recommendation: Start with the in-memory store for testing and PostgreSQL for production, then extend to other backends as needed. This gives us immediate value while keeping options open."*

For Architects: *"This package addresses three critical gaps in Laravel’s ecosystem:

1. Lack of a Standard Document Store Contract: Unlike Eloquent (relational) or Scout (search), there’s no first-class document store for JSON/NoSQL-like data. This fills that gap with a minimal, extensible interface.
2. Testing Pain Points: Mocking document stores is error-prone and slow. The in-memory implementation provides a realistic test double with zero mocking overhead.
3. Multi-Backend Complexity: Switching between PostgreSQL (prod), SQLite (local), and MongoDB (legacy) requires duplicative logic. This contract abstracts the differences.

Integration Strategy:

• Use Laravel’s service container to bind the interface to implementations (e.g., PostgresDocumentStore in production, InMemoryDocumentStore in tests).
• For event sourcing, pair with event-engine/persistence to project events into documents.
• Extend the contract to add Laravel-specific features (e.g., Eloquent model sync, query builder integration).

Risk Mitigation:

• Circular Dependencies: Isolate the in-memory store behind a factory or use composer’s replace for local dev.
• Performance: Benchmark against Laravel’s cache or database for write-heavy workloads.
• BC Breaks: Pin versions in composer.json and use migration scripts for upgrades.

Outcome: A scalable, testable document layer that reduces coupling and accelerates feature delivery."*