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Solution#169

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vanyas627 wants to merge 2 commits into
mate-academy:mainfrom
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Open

Solution#169
vanyas627 wants to merge 2 commits into
mate-academy:mainfrom
vanyas627:develop

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Review Summary

The implementation requires changes. The automated validation tests are failing because the ProductInventory table structure does not match the expected normalized schema. Specifically, the test reports indicate that CountryID is incorrectly placed as a foreign key in ProductInventory, and the column count and foreign key count are incorrect. In a properly normalized 3NF design, ProductInventory should link only to Product and Warehouses (or a related inventory table) via foreign keys. CountryID should be placed in a different table where it semantically belongs—such as in the Warehouses table if warehouses are country-specific, or in a separate store/location table entirely. Review your table relationships and ensure ProductInventory contains only the foreign keys needed to establish the product-to-warehouse relationship without redundant geographic references that belong elsewhere in the normalized schema.


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Review Summary

I am approving your solution because it correctly implements a fully normalized schema that satisfies the 3NF requirement. You have separated Product, Warehouses, and Country into their own tables and used ProductInventory as a proper junction table linking products to warehouses via foreign keys. Importantly, you did not duplicate CountryID in ProductInventory, and instead kept it correctly associated with Warehouses, which avoids redundancy and update anomalies. The sample data is inserted consistently across all tables, so the relationships between products, warehouses, and countries are clear and testable. As a minor improvement opportunity, you might consider adding appropriate indexes (for example on foreign key columns in ProductInventory) for better query performance, but this is not required for correctness here. Overall, your schema design and data population meet the core requirements and demonstrate a solid understanding of normalization principles.


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