Paul Bailey
fc2fff5cb1
- Set up MySQL 8.0+ with spatial data support (POINT SRID 4326) - Created Prisma schema with all models (User, Report, Event, etc.) - Added Clerk authentication support (clerk_id field) - Configured spatial indexes on location fields for performance - Created database migrations and applied to MySQL - Built spatial query utilities for geographical operations - Added database connection singleton and health checks - Created comprehensive documentation and test scripts Requirements: 1.1, 2.1, 3.2, 4.1
3.2 KiB
3.2 KiB
Database Setup Complete ✅
Task 22: Configure database with Prisma and MySQL spatial support
Completed Items
✅ MySQL 8.0+ with spatial data support
- Connected to MySQL 9.4.0 at 192.168.4.20:3306
- Database: beach_litter_mapping
- Spatial functions verified and working
✅ Prisma schema with all models
- User (with Clerk authentication support via clerk_id)
- Report (with spatial location data)
- Event (with spatial location data)
- EventRegistration
- Verification
- EnvironmentalConcern
- Hotspot (with spatial location data)
✅ MySQL POINT spatial types configured
- Reports table: location POINT SRID 4326
- Events table: location POINT SRID 4326
- Hotspots table: location POINT SRID 4326
- All spatial columns use WGS 84 coordinate system (SRID 4326)
✅ Database migrations created and applied
- Migration 20241116000000_initial_setup: Initial schema
- Migration 20241116000001_add_clerk_auth: Added Clerk authentication support
- Migrations applied successfully to database
✅ Database indexes including spatial indexes
- Spatial indexes on all location POINT columns (reports, events, hotspots)
- Standard indexes on foreign keys, dates, enums
- Unique indexes on email, username, clerk_id
- Composite indexes on latitude/longitude pairs
Files Created
- server/prisma/schema.prisma - Updated with Clerk auth and spatial types
- server/prisma/migrations/ - Migration files for database setup
- server/prisma/README.md - Comprehensive database documentation
- server/src/config/database.ts - Prisma client singleton
- server/src/utils/spatial.ts - Spatial query utilities
- server/src/scripts/testDatabase.ts - Database verification script
Key Features
Clerk Authentication Integration:
- User table includes clerk_id field for Clerk integration
- Removed password_hash dependency (handled by Clerk)
- Ready for Clerk webhook synchronization
Spatial Query Support:
- Find reports/events within radius
- Calculate distances between points
- Identify hotspot clusters
- Validate Irish coordinates
- Bounding box queries
Performance Optimizations:
- Spatial indexes for fast geographical queries
- Standard indexes on frequently queried fields
- Connection pooling via Prisma
- Query logging in development mode
Database Connection
DATABASE_URL="mysql://beach_litter_user:BeachClean2024!@192.168.4.20:3306/beach_litter_mapping"
Verification
Run the test script to verify setup:
npx tsx src/scripts/testDatabase.ts
All tests passing:
- ✅ Database connection
- ✅ MySQL 9.4.0 detected
- ✅ Spatial functions working
- ✅ 7 tables created
- ✅ 3 spatial indexes configured
- ✅ Clerk authentication ready
- ✅ Coordinate validation working
Next Steps
The database is fully configured and ready for:
- Task 23: Implement authentication system (Clerk integration)
- Task 24: Build report API endpoints
- Task 25: Implement file upload and EXIF processing
Requirements Satisfied
- ✅ Requirement 1.1: GPS coordinate capture with spatial support
- ✅ Requirement 2.1: Interactive map data storage
- ✅ Requirement 3.2: Hotspot calculation infrastructure
- ✅ Requirement 4.1: Event location storage