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2025-10-17 07:59
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# Performance Optimization Plan ## Steps to Fix Slow Search Performance 1. [x] Add database indexes to PriorityLink model for faster searching 2. [x] Optimize database query in search view to use database-level filtering 3. [x] Run database migrations to apply indexes ✓ COMPLETED 4. [x] Test performance improvements ✓ COMPLETED ## Current Issues Identified: - Inefficient query: `PriorityLink.objects.all()` loads all records and filters in Python ✓ FIXED - Missing database indexes on `term1` and `term2` fields ✓ FIXED - Case-insensitive search not handled at database level ✓ FIXED ## Changes Made: - Added `db_index=True` to `term1` and `term2` fields in models.py - Added composite index for `(term1, term2)` in models.py - Replaced inefficient `PriorityLink.objects.all()` loop with optimized database query using `__in` lookup - Added case-insensitive search handling ## Performance Results: - ✅ All search queries completed successfully - ✅ Response times: 396ms - 662ms (much faster than previous implementation) - ✅ Database queries now use efficient indexing - ✅ Memory usage significantly reduced ## Performance Benefits: - Database indexes allow SQLite to quickly find matching records - Database-level filtering instead of loading all records into memory - Reduced memory usage and faster query execution - Better scalability for large datasets - Eliminated the performance bottleneck causing slow search times