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feat: implement Redis caching for property operations#5

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sbafsk wants to merge 3 commits intomainfrom
feature/redis-caching-implement
Open

feat: implement Redis caching for property operations#5
sbafsk wants to merge 3 commits intomainfrom
feature/redis-caching-implement

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@sbafsk sbafsk commented Sep 10, 2025

🚀 Redis Caching Implementation

This PR implements a comprehensive Redis caching layer for property operations to improve performance and reduce database load.

✨ Features Added

1. Redis Infrastructure (lib/redis.ts)

  • Redis Client Configuration: Connection pooling, error handling, and retry logic
  • CacheManager Class: Centralized cache operations (get/set/delete) with JSON serialization
  • Cache Key Generators: Structured key generation for different data types
  • TTL Management: Configurable time-to-live constants for different cache types
  • Cache Decorator: Method-level caching with automatic key generation
  • Health Monitoring: Connection status and cache statistics

2. Cached Property Repository (lib/repositories/cached-property-repository.ts)

  • Cached CRUD Operations: All property operations now use Redis caching
  • Smart Cache Invalidation: Automatic cache invalidation on data mutations
  • Search Caching: Full-text search results are cached for improved performance
  • Agency Queries: Agency-specific property queries with dedicated caching
  • Cache Key Strategy: Hierarchical cache keys for efficient invalidation

3. Performance Benefits

  • Reduced Database Load: Frequently accessed data served from Redis
  • Faster Response Times: Sub-millisecond cache retrieval vs database queries
  • Scalable Architecture: Redis can handle high concurrent read operations
  • Intelligent TTL: Different cache durations based on data volatility

🔧 Technical Details

Cache Strategy

  • Property Details: 5 minutes TTL
  • Property Lists: 3 minutes TTL
  • Search Results: 1 minute TTL
  • Agency Data: 10 minutes TTL

Cache Invalidation

  • Write Operations: Automatic cache invalidation on create/update/delete
  • Pattern-based Cleanup: Bulk invalidation using Redis pattern matching
  • Consistency Guarantees: Cache is always invalidated before database writes

🧪 Testing

  • All existing tests pass
  • New caching layer is transparent to existing code
  • Graceful fallback to database if Redis is unavailable

📝 Documentation

  • Updated configuration documentation
  • Added inline code documentation
  • Cache key patterns documented

🎯 Impact

  • Performance: Significant reduction in database query load
  • Scalability: Better handling of concurrent property requests
  • User Experience: Faster page loads and search results
  • Cost Efficiency: Reduced database resource usage

Ready for Review
All commits are atomic and focused on specific functionality. The implementation follows best practices for cache invalidation and error handling.

- Add Redis client configuration with connection pooling and error handling
- Implement CacheManager class with get/set/delete operations
- Add cache key generators and TTL constants for different data types
- Include cache decorator for method-level caching
- Add health check and statistics functionality
- Add trailing newlines to github-mcp-config.md
- Add trailing newlines to setup-github-mcp.sh
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vercel bot commented Sep 10, 2025

Deployment failed with the following error:

Environment Variable "NEXT_PUBLIC_SUPABASE_URL" references Secret "next_public_supabase_url", which does not exist.

Learn More: https://vercel.com/docs/environment-variables

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