UUID Version 6 Generator

Generate single or multiple time-ordered UUIDs version 6 - optimized for database sorting

Single UUID

Bulk UUID Generation

About UUID Version 6

  • Reordered version of UUID v1 for better database indexing
  • Time-based sequential generation with ordered timestamps
  • Backward compatible with version 1 UUIDs
  • Optimized for database performance and sorting
  • Maintains compatibility with existing UUID systems

📝 Technical Details:

UUID v6 reorders the bits of a v1 UUID to place the timestamp in a more optimal position for database indexing. It maintains the same timestamp and node information as v1 but in a more efficient arrangement. The first 48 bits contain a timestamp, followed by clock sequence and node identifier bits.

🔒 Security and Privacy:

While UUID v6 includes node identification like v1, it can use randomly generated node IDs to enhance privacy. The timestamp ordering provides benefits for database operations while maintaining reasonable privacy levels when implemented with appropriate node ID generation strategies.

💡 Primary Applications

  • Database primary key optimization
  • Time-ordered record management
  • Legacy system integration
  • Distributed computing environments
  • Temporal data tracking systems
  • High-performance database operations
  • Sequential data storage systems

⚖️ Version Comparison

  • Vs. UUID v1:Better database performance through optimized bit ordering
  • Vs. UUID v4:Provides time-based ordering instead of pure randomness
  • Vs. UUID v7:More compatible with existing systems but less modern timestamp format

🎯 Implementation Guidelines

  • Ensure proper system clock synchronization
  • Consider node ID generation strategy
  • Plan for clock sequence handling
  • Implement proper timestamp generation
  • Handle time synchronization issues
  • Monitor system clock drift

Performance Characteristics

  • Optimized for B-tree indexes
  • Improved sequential insert performance
  • Better time-based query efficiency
  • Reduced index fragmentation
  • Enhanced sorting capabilities
  • Efficient range query performance

⚠️ Key Considerations

  • Node ID management requirements
  • Clock synchronization importance
  • Timestamp resolution limitations
  • Backward compatibility implications
  • System clock reliability needs

🔄 Migration Strategy

  • Assess current UUID usage patterns
  • Plan for database index updates
  • Test system performance impact
  • Prepare rollback procedures
  • Document version coexistence strategy