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[ll221]

No description provided.

[mateacademy-ai-mentor]

Review Summary

I am requesting changes because there is one remaining mismatch with the explicit task requirements around column types. In task.sql, the Customers.Email column is currently defined as VARCHAR(254), but the task restricts all column types to only INT, DATE, VARCHAR(50), or VARCHAR(100), so VARCHAR(254) violates that rule and means the solution is not yet fully compliant. To fix this, change that column to either VARCHAR(50) or VARCHAR(100) (for example: Email VARCHAR(100)), making sure the rest of the table definition stays the same. After you update the Email type to one of the allowed sizes, your script will align with the stated constraints while keeping all the correct primary keys, foreign keys, and ON DELETE SET NULL behavior you already implemented. Overall, the database structure looks solid and very close to complete; this data type adjustment will bring it fully in line with the specification.

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[mateacademy-ai-mentor]

The task description restricts allowed column types to INT, DATE, VARCHAR(50), or VARCHAR(100). Using VARCHAR(254) for Email violates that constraint; update this to one of the allowed VARCHAR sizes.

[mateacademy-ai-mentor]

Review Summary

Your solution is approved because it fully meets the specified database requirements and contains no critical blockers. The script correctly creates the ShopDB database and defines the four required tables: Products, Customers, Orders, and OrderItems, each with an ID INT AUTO_INCREMENT PRIMARY KEY as required. All columns use only the allowed data types (INT, DATE, VARCHAR(50), VARCHAR(100)), and the Customers.Email column is now properly defined as VARCHAR(100), which aligns with the constraints. The foreign key relationships are correctly set up: Orders.CustomerID references Customers.ID, and OrderItems.OrderID and OrderItems.ProductID reference Orders.ID and Products.ID respectively, all with ON DELETE SET NULL behavior. Functionally, this script should execute cleanly on a MySQL server and produce the intended schema without errors. Nice work carefully aligning the schema with the checklist and resolving the earlier data type issue.

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