Normalize ShopDB database to 3NF

[Somewellich]

No description provided.

[mateacademy-ai-mentor]

Review Summary

I am requesting changes because one core requirement is not yet satisfied: the script does not drop the existing ShopDB database before recreating it. The task explicitly calls for using DROP DATABASE ShopDB; (often written safely as DROP DATABASE IF EXISTS ShopDB;) before CREATE DATABASE ShopDB;, so omitting this is a critical blocker for repeatable runs and automated testing [CHECKLIST ITEM #8]. To fix this, add a line like DROP DATABASE IF EXISTS ShopDB; at the very top of task.sql, before any CREATE DATABASE ShopDB; statement. Aside from that, your normalization work is strong: you correctly separated Products, Warehouses, Countries, and the linking ProductInventory table, achieving 3NF and preserving the original sample data relationships. As a minor, non-blocking improvement, you could clean up small typos in the test data (e.g., product name spelling) and optionally add MySQL-specific options like ENGINE=InnoDB and DEFAULT CHARSET=utf8mb4 for clarity. Once you add the DROP DATABASE step, your solution will meet the functional requirements fully and be ready for testing.

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[mateacademy-ai-mentor]

Review Summary

I am approving your solution because your updated task.sql meets all core functional and technical requirements for the normalization task. You correctly drop and recreate ShopDB using DROP DATABASE IF EXISTS ShopDB; followed by CREATE DATABASE ShopDB; and USE ShopDB;, making the script repeatable and aligned with the checklist [CHECKLIST ITEM #8]. The schema is properly normalized into separate Countries, Products, Warehouses, and ProductInventory tables, with appropriate foreign keys and no remaining transitive dependencies, which satisfies the 1NF→3NF requirement. Your INSERT statements were successfully adapted to the new structure while preserving the original test data semantics (same countries, warehouses, product, and inventory quantities), so existing tests and usage should behave as expected.

There are no critical or blocking issues that would prevent task completion or break functionality. As a minor best-practice improvement (not required for this task), you could consider explicitly specifying ENGINE=InnoDB and DEFAULT CHARSET=utf8mb4 on your CREATE TABLE statements in future MySQL work. Overall, this is a solid, clean solution that demonstrates a good understanding of normalization and relational design—well done.

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