Add Real-time Data Synchronization #8
Description
Description
Implement real-time synchronization between source MySQL database and Neo4j graph to keep data up-to-date automatically.
Why This Feature?
- Critical for production environments with changing data
- Eliminates need for manual re-transformations
- Enables real-time analytics and visualization
Technical Requirements
Change Data Capture (CDC)
- Implement MySQL binlog monitoring
- Parse and process database change events
- Filter changes based on transformation rules
Incremental Updates
- Update only changed nodes/relationships
- Handle DELETE operations properly
- Maintain data consistency during updates
Event Processing
- Queue-based event processing
- Retry logic for failed updates
- Conflict resolution strategies
Monitoring & Observability
- Sync status monitoring
- Performance metrics
- Error tracking and alerting
Acceptance Criteria
- MySQL binlog monitoring implemented
- Incremental Neo4j updates working
- Handles all CRUD operations
- Configurable sync intervals
- Comprehensive error handling
- Performance monitoring
- Documentation and examples
Technical Challenges
- MySQL binlog parsing
- Managing large-scale updates
- Ensuring data consistency
- Handling network failures
Estimated Effort
1-2 weeks
Prerequisites
- Good understanding of MySQL internals
- Experience with event-driven architecture
- Neo4j performance optimization knowledge