UUID PRIMARY KEYS CREATE SQLITE PERFORMANCE ISSUES

The issue stems from how SQLite handles UUID primary keys. Unlike integer keys that are compact and cache-friendly, UUIDs consume 16 bytes per entry and fragment B-tree indexes due to their random ordering. This results in increased disk I/O, slower query performance, and larger database files. SQLite's default row identifier mechanism is optimized for sequential integers. When developers force UUID adoption, they bypass these optimizations, leading to measurable performance degradation on large datasets. Alternatives include using SQLite's built-in ROWID with UUID storage in a separate column, or implementing application-level UUID generation with integer primary keys. Developers prioritizing distributed systems and UUID benefits should weigh performance tradeoffs carefully. The discussion highlights an ongoing tension between database design principles and modern distributed architecture requirements, with developers advised to benchmark their specific use cases before committing to UUID-based schemas.