Create indexes for ShopDB database#158
Conversation
mateacademy-ai-mentor
left a comment
There was a problem hiding this comment.
Review Summary
You've done a great job identifying the indexes for searching by product name and customer email. However, your analysis is incomplete because it overlooks a key detail from the usage scenarios: the shop receives over 100 new orders daily. This means the Orders and OrderItems tables will grow very large, making queries that JOIN these tables slow. Please revisit your analysis and add indexes to the foreign key columns that link these tables to ensure good performance as the database scales.
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
Important
Fix the issues, commit the changes, and then re-request my review using the Re-request review button2 in the Reviewers tab.
Tip
If you have any comments about this review, please leave a message in the Add a comment section below and mention me with the @mateacademy-ai-mentor tag3.
I will read your message during my next review of your pull request. Please do not reply directly to my comments, as that feature is not supported yet.
Caution
Do not close the pull request until the review is complete. Closing it early can lead to unexpected behavior and disrupt the review process.
Footnotes
| USE ShopDB; | ||
|
|
||
| CREATE INDEX Name ON Products(Name); | ||
| CREATE INDEX Email ON Customers(Email); No newline at end of file |
There was a problem hiding this comment.
You've correctly identified the indexes needed for the WHERE clauses in search queries described in the scenarios. That's a great start!
However, another major reason to add indexes is to speed up JOIN operations. Given that the Orders and OrderItems tables will grow large, think about the columns that link these tables together (foreign keys). Indexing these columns is crucial for maintaining good performance on queries that retrieve order information.
mateacademy-ai-mentor
left a comment
There was a problem hiding this comment.
Review Summary
Great job adding the index to the OrderItems table! You're on the right track with your performance analysis. However, one critical index is still missing. You've correctly identified that the OrderItems table will be large, but the Orders table will also grow significantly with many new orders daily. To ensure that customers can view their order history quickly, the column used to look up their orders needs to be indexed. Please add an index to the CustomerID column in the Orders table to resolve this performance issue.
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
Important
Fix the issues, commit the changes, and then re-request my review using the Re-request review button2 in the Reviewers tab.
Tip
If you have any comments about this review, please leave a message in the Add a comment section below and mention me with the @mateacademy-ai-mentor tag3.
I will read your message during my next review of your pull request. Please do not reply directly to my comments, as that feature is not supported yet.
Caution
Do not close the pull request until the review is complete. Closing it early can lead to unexpected behavior and disrupt the review process.
Footnotes
|
|
||
| CREATE INDEX Name ON Products(Name); | ||
| CREATE INDEX Email ON Customers(Email); | ||
| CREATE INDEX OrderID ON OrderItems(OrderID); No newline at end of file |
There was a problem hiding this comment.
You've correctly identified that OrderItems.OrderID needs an index because of the large number of orders. Applying the same logic, think about the Orders table itself. It will also grow large. Which column would be used to look up all orders for a specific customer? This column also needs an index to ensure good performance for common user actions like viewing order history.
mateacademy-ai-mentor
left a comment
There was a problem hiding this comment.
Review Summary
Excellent work on this task! Your analysis of the usage scenarios to identify the necessary columns for indexing was spot on, and you've implemented the SQL to create them perfectly. It's great to see that you also addressed the feedback from the previous review by adding the index on Orders(CustomerID). Your solution is complete, well-optimized, and meets all requirements. I am happy to approve your submission!
✨ Please rate this review in the Platform's notification center1. I will be grateful for your feedback! ✨
No description provided.