update readme #28
update readme #28
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WalkthroughThe changes involve the removal of the Changes
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Actionable comments posted: 1
Outside diff range and nitpick comments (4)
README.md (4)
19-19: LGTM! Consider adding a brief description of the script's purpose.The update to the script name is correct and consistent with the changes mentioned in the summary. To improve clarity, consider adding a brief description of what the script does, e.g.:
├── create_table_script.sql # SQL script for creating database tables
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39-83: LGTM! Consider adding a note about Cognito integration.The removal of the Customers table from the ERD is consistent with the integration of Amazon Cognito for user management. The remaining tables and their relationships are correctly represented.
To improve clarity for future readers, consider adding a note at the end of the ERD section explaining the absence of the Customers table, e.g.:
Note: Customer data is managed through Amazon Cognito and is not represented in this ERD.
84-86: Great addition! Consider expanding on the benefits of using Cognito.This new section clearly explains the removal of the Customers table and the shift to Amazon Cognito. It's a good practice to document such architectural decisions.
To further improve this section, consider briefly mentioning some benefits of using Cognito, such as enhanced security, scalability, or reduced maintenance overhead. This would provide more context for the decision.
87-100: Excellent addition! Consider unifying list formatting.This new section provides a comprehensive explanation for choosing MySQL, which is valuable for understanding the project's architecture. The reasons given are relevant and well-explained.
To improve readability and consistency, consider unifying the formatting of the unordered list:
- Use dashes (-) instead of asterisks (*) for all list items.
- Ensure consistent indentation (2 spaces) for all sub-items.
Example:
## Why MySQL? I've decided to use MySQL as the database for the fast-food ordering system following the reasons below: - **Simplicity:** - Easy installation, configuration, and management, ideal for both the development team and the production environment. - Familiar and widely used SQL syntax, simplifying query writing and maintenance. - **Performance:** - High performance for **TRANSACTIONAL OPERATIONS**, ensuring fast processing of orders and payments, even during peak hours. - Efficient query optimization and indexing features for quick response times. ...Tools
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Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- README.md (3 hunks)
- init/sql/customers_table.sql (0 hunks)
- init/sql/schema.sql (0 hunks)
Files not reviewed due to no reviewable changes (2)
- init/sql/customers_table.sql
- init/sql/schema.sql
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| * **Aurora Serverless** | ||
| - I've also chosed to use Aurora Serverless, so I can take advantage of all serverless features like no need fo managing database servers, updates, patching and of course availability andscalability |
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Good addition! Consider expanding and improving formatting.
The inclusion of information about Aurora Serverless is valuable. However, there are some areas for improvement:
- Fix typos: "chosed" should be "chosen", "andscalability" should be "and scalability".
- Use consistent formatting with the previous section (dashes for list items, proper indentation).
- Consider expanding on the benefits of Aurora Serverless, perhaps in a similar structure to the MySQL section.
Here's a suggested revision:
## Why Aurora Serverless?
I've chosen to use Aurora Serverless for the following reasons:
- **Reduced Management Overhead:**
- No need for managing database servers, updates, or patching.
- **Scalability:**
- Automatically scales capacity based on application needs.
- **Cost-Effectiveness:**
- Pay only for the resources used, ideal for variable workloads.
- **High Availability:**
- Built-in fault tolerance and self-healing capabilities.This structure provides more detail and aligns better with the MySQL section, improving overall document consistency.
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Actionable comments posted: 0
🧹 Outside diff range and nitpick comments (3)
README.md (3)
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39-82: ERD updated to reflect removal of Customers table.The ERD has been correctly updated to remove the Customers table, which is consistent with the integration of Amazon Cognito for user management. The remaining tables and their relationships are accurately represented.
Consider adding a note in the ERD section mentioning the use of Amazon Cognito for user management, to provide immediate context for the absence of a Customers table.
🧰 Tools
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83-85: Clear explanation for Customers table removal.The new section effectively explains the reason for removing the Customers table and the shift to Amazon Cognito for user management. This provides valuable context for the changes in the database schema.
Consider expanding slightly on the benefits of using Amazon Cognito, such as improved security, scalability, or easier integration with other AWS services.
86-100: Comprehensive explanation for MySQL choice with minor formatting issues.The new section provides an excellent explanation of the reasons for choosing MySQL, covering key aspects such as simplicity, performance, reliability, and cost-effectiveness.
However, there are some formatting inconsistencies:
- Use dashes (-) instead of asterisks (*) for list items to maintain consistency with other parts of the document.
- Reduce the indentation of sub-list items from 4 spaces to 2 spaces.
- In line 93, "TRANSACTIONAL OPERATIONS" should not be in all caps. Consider using title case or lowercase.
Here's a suggested revision for the formatting:
## Why MySQL? I've decided to use MySQL as the database for the fast-food ordering system following the reasons below: - **Simplicity:** - Easy installation, configuration, and management, ideal for both the development team and the production environment. - Familiar and widely used SQL syntax, simplifying query writing and maintenance. - **Performance:** - High performance for transactional operations, ensuring fast processing of orders and payments, even during peak hours. - Efficient query optimization and indexing features for quick response times. - **Reliability:** - Data integrity features and ACID properties (Atomicity, Consistency, Isolation, Durability) guarantee information consistency and security. - **Cost-effectiveness:** - Open-source solution with no licensing costs, making it an affordable option for the project. - Extensive user community and comprehensive documentation readily available online.🧰 Tools
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📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
📒 Files selected for processing (1)
- README.md (3 hunks)
🧰 Additional context used
Markdownlint
README.md
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🔇 Additional comments not posted (2)
README.md (2)
19-19: Improved script naming convention.The change from
create_tables.sqltocreate_table_script.sqlis a good improvement. The new name is more descriptive and follows a common naming convention for SQL scripts.
101-102: Implement suggested improvements for Aurora Serverless section.The addition of information about Aurora Serverless is valuable. However, there are some areas for improvement as pointed out in a previous review. Please refer to the earlier comment and implement the suggested changes, which include:
- Fixing typos
- Using consistent formatting
- Expanding on the benefits of Aurora Serverless
🧰 Tools
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No description provided.