Your SQLite Inserts Got 10× Slower — and a Random UUID Did It

📰 Medium · Programming

Discover how different primary-key strategies impact SQLite insert speeds, with a surprising culprit: random UUIDs

intermediate Published 10 Jun 2026
Action Steps
  1. Benchmark integer primary keys using SQLite
  2. Compare performance with UUIDv4 primary keys
  3. Test UUIDv7 primary keys for optimal insert speed
  4. Analyze the impact of random UUIDs on insert performance
  5. Optimize database design based on benchmark results
Who Needs to Know This

Database administrators and developers who work with SQLite can benefit from understanding the performance implications of different primary-key strategies, ensuring their applications scale efficiently

Key Insight

💡 Random UUIDs can significantly slow down SQLite insert speeds, making it crucial to choose the right primary-key strategy for optimal performance

Share This
💡 Did you know random UUIDs can slow down your SQLite inserts by 10×? Learn which primary-key strategy is best for your growing tables

Key Takeaways

Discover how different primary-key strategies impact SQLite insert speeds, with a surprising culprit: random UUIDs

Full Article

Three primary-key strategies for growing tables, benchmarked: integer, UUIDv4, UUIDv7 — and what each costs in insert speed. Continue reading on Medium »
Read full article → ← Back to Reads