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Review Summary
You've made a great start by correctly adding indexes for product searches and customer logins. The SQL syntax is perfect.
However, this requires changes because the analysis of the shop's usage scenarios is incomplete. A key feature of any online shop is allowing customers to view their order history. To make this efficient, you also need to add indexes on the foreign key columns used to connect orders to customers and products.
Please add the following indexes to your task.sql file:
Orders(CustomerID)OrderItems(OrderID)OrderItems(ProductID)
Indexing these columns is crucial for the performance of queries that retrieve order information, which is a core requirement for this system.
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Footnotes
| CREATE INDEX Name ON Products (Name); | ||
| CREATE INDEX Email ON Customers (Email); |
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Your analysis correctly identified the need for indexes on Products(Name) and Customers(Email) based on the login and search scenarios. That's a great start!
However, a complete analysis should also consider how data is retrieved. In an online shop, users frequently view their order history. To make these queries efficient, you should also add indexes on the foreign key columns:
Orders(CustomerID)OrderItems(OrderID)OrderItems(ProductID)
Think about the queries needed to show a customer their past orders and the items in each order. Indexing these foreign key columns is a standard practice that significantly improves performance.
mateacademy-ai-mentor
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Review Summary
Excellent work on this submission! I am approving your solution. You've successfully addressed all the previous feedback by creating the necessary indexes for handling order history lookups. Your analysis of the usage scenarios is now complete and correct, covering all key areas like product searches and customer order retrieval. The SQL in task.sql is well-written and follows all the required conventions. Great job completing this task!
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