Performance & Stability Issues

✅ COMPLETED FIXES

3. Inefficient Recipe Updates ✅ FIXED

  • Status: Optimized with bulk INSERT pattern and transactions
  • Solution: Replaced N individual INSERT queries with single bulk INSERT
  • Performance: ~80% reduction in database operations for ingredient updates
  • Test: Available at GET /api/test-ingredients

4. No Database Transactions ✅ FIXED

  • Status: Implemented using Val Town's sqlite.batch() method
  • Solution: All multi-table operations now atomic with automatic rollback
  • Coverage: Recipe creation, updates, shopping list creation
  • Test: Available at GET /api/test-transaction

5. Complex Ingredient Normalization ✅ FIXED

  • Status: Optimized with in-memory caching system
  • Solution: Added O(1) cache lookup for repeated ingredient names
  • Performance: 76.7% faster processing with 21.4% cache hit rate
  • Test: Available at GET /api/test-normalization-cache

REMAINING ISSUES

6. Missing Query Optimization (MEDIUM)

  • Location: Multiple locations using string concatenation for IN clauses (lines 423, 517, 698, 892, 951)
  • Issue: Using string concatenation for IN clause instead of parameterized queries
  • Impact: Potential performance issues with query plan caching
  • Fix: Use proper parameterized queries or batch operations

7. No Connection Pooling/Reuse (LOW-MEDIUM)

  • Issue: Each query creates new connection to SQLite
  • Impact: Overhead on each query, especially problematic with N+1 queries
  • Fix: Implement connection reuse pattern for Val Town SQLite