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DATABASE INDEX OPTIMIZATION REPORT
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==================================================
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ANALYSIS SUMMARY
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----------------
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Tables Analyzed: 6
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Query Patterns: 15
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Existing Indexes: 12
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New Recommendations: 8
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High Priority: 4
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Redundancy Issues: 2
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HIGH PRIORITY RECOMMENDATIONS (4)
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----------------------------------
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1. orders: Optimize multi-column WHERE conditions: user_id, status, created_at
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Columns: user_id, status, created_at
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Benefit: Very High
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SQL: CREATE INDEX idx_orders_user_status_created ON orders (user_id, status, created_at);
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2. products: Optimize WHERE category_id = AND is_active = queries
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Columns: category_id, is_active
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Benefit: High
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SQL: CREATE INDEX idx_products_category_active ON products (category_id, is_active);
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3. order_items: Optimize JOIN with products table on product_id
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Columns: product_id
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Benefit: High (frequent JOINs)
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SQL: CREATE INDEX idx_order_items_product_join ON order_items (product_id);
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4. product_reviews: Covering index for WHERE + ORDER BY optimization
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Columns: product_id, created_at
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Benefit: High (eliminates table lookups for SELECT)
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SQL: CREATE INDEX idx_product_reviews_covering_product_created ON product_reviews (product_id, created_at) INCLUDE (rating, review_text);
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REDUNDANCY ISSUES (2)
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---------------------
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• DUPLICATE: Indexes 'idx_users_email' and 'unique_users_email' are identical
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Recommendation: Drop one of the duplicate indexes
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SQL: DROP INDEX idx_users_email;
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• OVERLAPPING: Index 'idx_products_category' overlaps 85% with 'idx_products_category_active'
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Recommendation: Consider dropping 'idx_products_category' as it's largely covered by 'idx_products_category_active'
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SQL: DROP INDEX idx_products_category;
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PERFORMANCE IMPACT ANALYSIS
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----------------------------
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Queries to be optimized: 12
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High impact optimizations: 6
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Estimated insert overhead: 40%
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RECOMMENDED CREATE INDEX STATEMENTS
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------------------------------------
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1. CREATE INDEX idx_orders_user_status_created ON orders (user_id, status, created_at);
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2. CREATE INDEX idx_products_category_active ON products (category_id, is_active);
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3. CREATE INDEX idx_order_items_product_join ON order_items (product_id);
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4. CREATE INDEX idx_product_reviews_covering_product_created ON product_reviews (product_id, created_at) INCLUDE (rating, review_text);
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5. CREATE INDEX idx_products_price_brand ON products (price, brand);
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6. CREATE INDEX idx_orders_status_created ON orders (status, created_at);
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7. CREATE INDEX idx_categories_parent_active ON categories (parent_id, is_active);
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8. CREATE INDEX idx_product_reviews_user_created ON product_reviews (user_id, created_at);
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DATABASE MIGRATION PLAN
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==================================================
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Migration ID: a7b3c9d2
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Created: 2024-02-16T15:30:00Z
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Zero Downtime: false
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MIGRATION SUMMARY
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-----------------
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Total Steps: 12
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Tables Added: 1
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Tables Dropped: 0
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Tables Renamed: 0
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Columns Added: 3
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Columns Dropped: 1
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Columns Modified: 2
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Constraints Added: 4
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Constraints Dropped: 1
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Indexes Added: 2
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Indexes Dropped: 1
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RISK ASSESSMENT
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---------------
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High Risk Steps: 3
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Medium Risk Steps: 4
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Low Risk Steps: 5
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MIGRATION STEPS
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---------------
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1. Create table brands with 4 columns (LOW risk)
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Type: CREATE_TABLE
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Forward SQL: CREATE TABLE brands (
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id INTEGER PRIMARY KEY,
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name VARCHAR(100) NOT NULL,
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description TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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);
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Rollback SQL: DROP TABLE IF EXISTS brands;
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2. Add column brand_id to products (LOW risk)
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Type: ADD_COLUMN
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Forward SQL: ALTER TABLE products ADD COLUMN brand_id INTEGER;
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Rollback SQL: ALTER TABLE products DROP COLUMN brand_id;
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3. Add column email_verified to users (LOW risk)
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Type: ADD_COLUMN
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Forward SQL: ALTER TABLE users ADD COLUMN email_verified BOOLEAN DEFAULT false;
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Rollback SQL: ALTER TABLE users DROP COLUMN email_verified;
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4. Add column last_login to users (LOW risk)
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Type: ADD_COLUMN
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Forward SQL: ALTER TABLE users ADD COLUMN last_login TIMESTAMP;
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Rollback SQL: ALTER TABLE users DROP COLUMN last_login;
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5. Modify column price: type: DECIMAL(10,2) -> DECIMAL(12,2) (LOW risk)
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Type: MODIFY_COLUMN
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Forward SQL: ALTER TABLE products
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ALTER COLUMN price TYPE DECIMAL(12,2);
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Rollback SQL: ALTER TABLE products
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ALTER COLUMN price TYPE DECIMAL(10,2);
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6. Modify column inventory_count: nullable: true -> false (HIGH risk)
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Type: MODIFY_COLUMN
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Forward SQL: ALTER TABLE products
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ALTER COLUMN inventory_count SET NOT NULL;
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Rollback SQL: ALTER TABLE products
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ALTER COLUMN inventory_count DROP NOT NULL;
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7. Add primary key on id (MEDIUM risk)
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Type: ADD_CONSTRAINT
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Forward SQL: ALTER TABLE brands ADD CONSTRAINT pk_brands PRIMARY KEY (id);
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Rollback SQL: ALTER TABLE brands DROP CONSTRAINT pk_brands;
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8. Add foreign key constraint on brand_id (MEDIUM risk)
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Type: ADD_CONSTRAINT
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Forward SQL: ALTER TABLE products ADD CONSTRAINT fk_products_brand_id FOREIGN KEY (brand_id) REFERENCES brands(id);
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Rollback SQL: ALTER TABLE products DROP CONSTRAINT fk_products_brand_id;
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9. Add unique constraint on name (MEDIUM risk)
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Type: ADD_CONSTRAINT
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Forward SQL: ALTER TABLE brands ADD CONSTRAINT uq_brands_name UNIQUE (name);
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Rollback SQL: ALTER TABLE brands DROP CONSTRAINT uq_brands_name;
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10. Add check constraint: price > 0 (MEDIUM risk)
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Type: ADD_CONSTRAINT
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Forward SQL: ALTER TABLE products ADD CONSTRAINT chk_products_price_positive CHECK (price > 0);
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Rollback SQL: ALTER TABLE products DROP CONSTRAINT chk_products_price_positive;
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11. Create index idx_products_brand_id on (brand_id) (LOW risk)
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Type: ADD_INDEX
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Forward SQL: CREATE INDEX idx_products_brand_id ON products (brand_id);
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Rollback SQL: DROP INDEX idx_products_brand_id;
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Estimated Time: 1-5 minutes depending on table size
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12. Create index idx_users_email_verified on (email_verified) (LOW risk)
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Type: ADD_INDEX
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Forward SQL: CREATE INDEX idx_users_email_verified ON users (email_verified);
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Rollback SQL: DROP INDEX idx_users_email_verified;
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Estimated Time: 1-5 minutes depending on table size
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VALIDATION CHECKS
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-----------------
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• Verify table brands exists
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SQL: SELECT COUNT(*) FROM information_schema.tables WHERE table_name = 'brands';
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Expected: 1
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• Verify column brand_id exists in products
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SQL: SELECT COUNT(*) FROM information_schema.columns WHERE table_name = 'products' AND column_name = 'brand_id';
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Expected: 1
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• Verify column email_verified exists in users
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SQL: SELECT COUNT(*) FROM information_schema.columns WHERE table_name = 'users' AND column_name = 'email_verified';
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Expected: 1
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• Verify column modification in products
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SQL: SELECT data_type, is_nullable FROM information_schema.columns WHERE table_name = 'products' AND column_name = 'price';
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Expected: 1
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• Verify index idx_products_brand_id exists
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SQL: SELECT COUNT(*) FROM information_schema.statistics WHERE index_name = 'idx_products_brand_id';
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Expected: 1
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• Verify index idx_users_email_verified exists
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SQL: SELECT COUNT(*) FROM information_schema.statistics WHERE index_name = 'idx_users_email_verified';
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Expected: 1
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@@ -0,0 +1,222 @@
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DATABASE SCHEMA ANALYSIS REPORT
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==================================================
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SCHEMA OVERVIEW
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---------------
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Total Tables: 8
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Total Columns: 52
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Tables with Primary Keys: 8
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Total Foreign Keys: 6
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Total Indexes: 15
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KEY RECOMMENDATIONS
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------------------
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1. Address 3 high-severity issues immediately
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2. Add primary keys to tables:
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3. Review 4 VARCHAR(255) columns for right-sizing
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4. Consider adding 2 foreign key constraints for referential integrity
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5. Review 8 normalization issues for schema optimization
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NORMALIZATION ISSUES (8 total)
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------------------------------
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High: 2, Medium: 3, Low: 2, Warning: 1
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• products: Column 'dimensions' appears to store delimited values
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Suggestion: Create separate table for individual values with foreign key relationship
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• products: Column 'tags' appears to store delimited values
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Suggestion: Create separate table for individual values with foreign key relationship
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• products: Columns ['category_name'] may have transitive dependency through 'category_id'
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Suggestion: Consider creating separate 'category' table with these columns
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• orders: Columns ['shipping_street', 'shipping_city', 'shipping_state', 'shipping_postal_code', 'shipping_country'] may have transitive dependency through 'shipping_address_id'
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Suggestion: Consider creating separate 'shipping_address' table with these columns
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• user_preferences: Column 'preferred_categories' appears to store delimited values
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Suggestion: Create separate table for individual values with foreign key relationship
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DATA TYPE ISSUES (4 total)
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--------------------------
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• products.dimensions: VARCHAR(255) antipattern
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Current: VARCHAR(50) → Suggested: Appropriately sized VARCHAR or TEXT
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Rationale: VARCHAR(255) is often used as default without considering actual data length requirements
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• products.tags: VARCHAR(255) antipattern
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Current: VARCHAR(500) → Suggested: Appropriately sized VARCHAR or TEXT
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Rationale: VARCHAR(255) is often used as default without considering actual data length requirements
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• user_preferences.preferred_categories: VARCHAR(255) antipattern
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Current: VARCHAR(500) → Suggested: Appropriately sized VARCHAR or TEXT
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Rationale: VARCHAR(255) is often used as default without considering actual data length requirements
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• user_preferences.email_notifications: VARCHAR(255) antipattern
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Current: VARCHAR(255) → Suggested: Appropriately sized VARCHAR or TEXT
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Rationale: VARCHAR(255) is often used as default without considering actual data length requirements
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CONSTRAINT ISSUES (12 total)
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-----------------------------
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High: 0, Medium: 4, Low: 8
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• products: Column 'price' should validate positive values
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Suggestion: Add CHECK constraint: price > 0
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• products: Column 'inventory_count' should validate positive values
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Suggestion: Add CHECK constraint: inventory_count > 0
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• orders: Column 'total_amount' should validate positive values
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Suggestion: Add CHECK constraint: total_amount > 0
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• order_items: Column 'quantity' should validate positive values
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Suggestion: Add CHECK constraint: quantity > 0
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• order_items: Column 'unit_price' should validate positive values
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Suggestion: Add CHECK constraint: unit_price > 0
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MISSING INDEXES (3 total)
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-------------------------
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• addresses.user_id (foreign_key)
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SQL: CREATE INDEX idx_addresses_user_id ON addresses (user_id);
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• product_reviews.product_id (foreign_key)
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SQL: CREATE INDEX idx_product_reviews_product_id ON product_reviews (product_id);
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• shopping_cart.user_id (foreign_key)
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SQL: CREATE INDEX idx_shopping_cart_user_id ON shopping_cart (user_id);
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MERMAID ERD
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===========
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erDiagram
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USERS {
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INTEGER id "PK"
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VARCHAR(255) email "NOT NULL"
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VARCHAR(50) username "NOT NULL"
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VARCHAR(255) password_hash "NOT NULL"
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VARCHAR(100) first_name
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VARCHAR(100) last_name
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TIMESTAMP created_at
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TIMESTAMP updated_at
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VARCHAR(20) status
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}
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CATEGORIES {
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INTEGER id "PK"
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VARCHAR(100) name "NOT NULL"
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VARCHAR(100) slug "NOT NULL UNIQUE"
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INTEGER parent_id "FK"
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TEXT description
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BOOLEAN is_active
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INTEGER sort_order
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TIMESTAMP created_at
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}
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PRODUCTS {
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INTEGER id "PK"
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VARCHAR(255) name "NOT NULL"
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VARCHAR(50) sku "NOT NULL UNIQUE"
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TEXT description
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DECIMAL(10,2) price "NOT NULL"
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DECIMAL(10,2) cost
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DECIMAL(8,2) weight
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VARCHAR(50) dimensions
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INTEGER category_id "FK"
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VARCHAR(100) category_name
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VARCHAR(100) brand
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VARCHAR(500) tags
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INTEGER inventory_count
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INTEGER reorder_point
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VARCHAR(100) supplier_name
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VARCHAR(255) supplier_contact
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BOOLEAN is_active
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BOOLEAN featured
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TIMESTAMP created_at
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TIMESTAMP updated_at
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}
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ADDRESSES {
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INTEGER id "PK"
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INTEGER user_id "FK"
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VARCHAR(20) address_type
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VARCHAR(255) street_address "NOT NULL"
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VARCHAR(255) street_address_2
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VARCHAR(100) city "NOT NULL"
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VARCHAR(50) state "NOT NULL"
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VARCHAR(20) postal_code "NOT NULL"
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VARCHAR(50) country "NOT NULL"
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BOOLEAN is_default
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TIMESTAMP created_at
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}
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ORDERS {
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INTEGER id "PK"
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VARCHAR(50) order_number "NOT NULL UNIQUE"
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INTEGER user_id "FK"
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VARCHAR(255) user_email
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VARCHAR(200) user_name
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VARCHAR(50) status "NOT NULL"
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DECIMAL(10,2) total_amount "NOT NULL"
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DECIMAL(10,2) tax_amount "NOT NULL"
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DECIMAL(10,2) shipping_amount "NOT NULL"
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DECIMAL(10,2) discount_amount
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VARCHAR(50) payment_method
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VARCHAR(50) payment_status
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INTEGER shipping_address_id "FK"
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INTEGER billing_address_id "FK"
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VARCHAR(255) shipping_street
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VARCHAR(100) shipping_city
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VARCHAR(50) shipping_state
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VARCHAR(20) shipping_postal_code
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VARCHAR(50) shipping_country
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TEXT notes
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TIMESTAMP created_at
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TIMESTAMP updated_at
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TIMESTAMP shipped_at
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TIMESTAMP delivered_at
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}
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ORDER_ITEMS {
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INTEGER id "PK"
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INTEGER order_id "FK"
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INTEGER product_id "FK"
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VARCHAR(255) product_name
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VARCHAR(50) product_sku
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INTEGER quantity "NOT NULL"
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DECIMAL(10,2) unit_price "NOT NULL"
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DECIMAL(10,2) total_price "NOT NULL"
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TIMESTAMP created_at
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}
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SHOPPING_CART {
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INTEGER id "PK"
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INTEGER user_id "FK"
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VARCHAR(255) session_id
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INTEGER product_id "FK"
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INTEGER quantity "NOT NULL"
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TIMESTAMP added_at
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TIMESTAMP updated_at
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}
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PRODUCT_REVIEWS {
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INTEGER id "PK"
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INTEGER product_id "FK"
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INTEGER user_id "FK"
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INTEGER rating "NOT NULL"
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VARCHAR(200) title
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TEXT review_text
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BOOLEAN verified_purchase
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INTEGER helpful_count
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TIMESTAMP created_at
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TIMESTAMP updated_at
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}
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CATEGORIES ||--o{ CATEGORIES : has
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CATEGORIES ||--o{ PRODUCTS : has
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USERS ||--o{ ADDRESSES : has
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USERS ||--o{ ORDERS : has
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USERS ||--o{ SHOPPING_CART : has
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USERS ||--o{ PRODUCT_REVIEWS : has
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ADDRESSES ||--o{ ORDERS : has
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ORDERS ||--o{ ORDER_ITEMS : has
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PRODUCTS ||--o{ ORDER_ITEMS : has
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PRODUCTS ||--o{ SHOPPING_CART : has
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PRODUCTS ||--o{ PRODUCT_REVIEWS : has
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Reference in New Issue
Block a user