- Convert ProcessingStatusManager from static class to individual functions
- Refactor processSingleImport function to reduce cognitive complexity
- Fix unused parameters in database-pool.ts event handlers
- Add missing DATABASE_URL configuration to env.ts
- Add pg package and @types/pg dependencies for PostgreSQL support
- Fix tsx command execution by updating package.json scripts to use pnpm exec
- Apply biome formatting fixes for import organization
🎯 SESSION POOLING PERFORMANCE BREAKTHROUGH!
✅ Critical Issues Fixed:
- Eliminated multiple PrismaClient instances across schedulers
- Fixed connection pool exhaustion risk in processing modules
- Implemented singleton pattern for all database connections
- Added graceful shutdown and connection cleanup
🚀 Enhanced Pooling Features:
- Dual-mode connection pooling (standard + enhanced)
- PostgreSQL native pooling with @prisma/adapter-pg
- Advanced connection monitoring and health checks
- Configurable pool limits and timeouts via environment variables
- Real-time connection statistics and metrics
📊 Performance Optimizations:
- Single shared connection pool across all schedulers
- Configurable connection limits (DATABASE_CONNECTION_LIMIT=20)
- Idle timeout management (DATABASE_POOL_TIMEOUT=10)
- Connection cycling and health validation
- Process termination signal handling
🛠️ New Infrastructure:
- lib/database-pool.ts - Advanced pooling configuration
- app/api/admin/database-health/route.ts - Connection monitoring
- Enhanced lib/prisma.ts with dual-mode support
- Comprehensive documentation in docs/database-connection-pooling.md
- Graceful shutdown handling in lib/schedulers.ts
🎛️ Environment Configuration:
- USE_ENHANCED_POOLING=true for production optimization
- DATABASE_CONNECTION_LIMIT for pool size control
- DATABASE_POOL_TIMEOUT for idle connection management
- Automatic enhanced pooling in production environments
📈 Expected Impact:
- Eliminates connection pool exhaustion under load
- Reduces memory footprint from idle connections
- Improves scheduler performance and reliability
- Enables better resource monitoring and debugging
- Supports horizontal scaling with proper connection management
Production-ready connection pooling with monitoring and health checks!
