DATABASE INDEX OPTIMIZATION REPORT ================================================== ANALYSIS SUMMARY ---------------- Tables Analyzed: 6 Query Patterns: 15 Existing Indexes: 12 New Recommendations: 8 High Priority: 4 Redundancy Issues: 2 HIGH PRIORITY RECOMMENDATIONS (4) ---------------------------------- 1. orders: Optimize multi-column WHERE conditions: user_id, status, created_at Columns: user_id, status, created_at Benefit: Very High SQL: CREATE INDEX idx_orders_user_status_created ON orders (user_id, status, created_at); 2. products: Optimize WHERE category_id = AND is_active = queries Columns: category_id, is_active Benefit: High SQL: CREATE INDEX idx_products_category_active ON products (category_id, is_active); 3. order_items: Optimize JOIN with products table on product_id Columns: product_id Benefit: High (frequent JOINs) SQL: CREATE INDEX idx_order_items_product_join ON order_items (product_id); 4. product_reviews: Covering index for WHERE + ORDER BY optimization Columns: product_id, created_at Benefit: High (eliminates table lookups for SELECT) SQL: CREATE INDEX idx_product_reviews_covering_product_created ON product_reviews (product_id, created_at) INCLUDE (rating, review_text); REDUNDANCY ISSUES (2) --------------------- • DUPLICATE: Indexes 'idx_users_email' and 'unique_users_email' are identical Recommendation: Drop one of the duplicate indexes SQL: DROP INDEX idx_users_email; • OVERLAPPING: Index 'idx_products_category' overlaps 85% with 'idx_products_category_active' Recommendation: Consider dropping 'idx_products_category' as it's largely covered by 'idx_products_category_active' SQL: DROP INDEX idx_products_category; PERFORMANCE IMPACT ANALYSIS ---------------------------- Queries to be optimized: 12 High impact optimizations: 6 Estimated insert overhead: 40% RECOMMENDED CREATE INDEX STATEMENTS ------------------------------------ 1. CREATE INDEX idx_orders_user_status_created ON orders (user_id, status, created_at); 2. CREATE INDEX idx_products_category_active ON products (category_id, is_active); 3. CREATE INDEX idx_order_items_product_join ON order_items (product_id); 4. CREATE INDEX idx_product_reviews_covering_product_created ON product_reviews (product_id, created_at) INCLUDE (rating, review_text); 5. CREATE INDEX idx_products_price_brand ON products (price, brand); 6. CREATE INDEX idx_orders_status_created ON orders (status, created_at); 7. CREATE INDEX idx_categories_parent_active ON categories (parent_id, is_active); 8. CREATE INDEX idx_product_reviews_user_created ON product_reviews (user_id, created_at);