1.2 KiB
This is an excerpt from a change tracking system I developed for a regulatory compliance application. The system enabled government reviewers to audit comprehensive declaration submissions by tracking granular changes across all form fields and data versions. The system compares complex nested data structures and automatically generates detailed audit logs. The main challenge was handling deep object hierarchies with multiple related entities while maintaining performance for large datasets.
Key technical implementations include:
- Stream-based collection processing to identify added, removed, and modified items using UUID matching
- Null-safe field comparisons with type-specific formatting for dates, BigDecimals, and custom objects
- Reference data resolution with fallback strategies when external lookup services are unavailable
- Transaction-safe persistence of immutable change records
The service processes many fields across multiple form sections, comparing everything from simple text fields to complex collections of fuel data and emission measurements. Each change is recorded with complete metadata including old/new values, timestamps, and user context for complete audit trail.