&secy;2024-06-01

  • ã‚ãªãŸ

    • To avoid OS that will ignore cases, database name should use snake_case. And collections name I could use upper camel case and field name in lower camel case?
  • ChatGPT

    • Yes, using a consistent and clear naming convention like the one you suggested can help avoid issues with case sensitivity across different operating systems and ensure readability. Here’s a summary of the recommended naming conventions based on your criteria:
  • Naming Conventions:

    • Databases: Use snake_case.
    • Collections: Use UpperCamelCase.
    • Fields: Use lowerCamelCase.
  • Examples:

    • Databases:
      • sales_data, user_profiles
    • Collections:
      • UserProfiles, OrderDetails
    • Fields:
      • firstName, lastName, orderDate
  • Practical Examples:

// Access the sales_data database
use sales_data

// Access the UserProfiles collection within the sales_data database
db.UserProfiles.find()
{
  "firstName": "John",
  "lastName": "Doe",
  "orderDate": "2024-06-01",
  "orderDetails": {
    "productId": "12345",
    "quantity": 2,
    "price": 19.99
  }
}
  • Summary of Guidelines:
    • Databases:
      • Use snake_case to ensure compatibility across different systems and avoid case sensitivity issues.
      • Example: user_profiles, sales_data.
    • Collections:
      • Use UpperCamelCase to distinguish collections from databases and fields clearly.
      • Example: UserProfiles, OrderDetails.
    • Fields:
      • Use lowerCamelCase for fields to maintain a consistent and familiar naming style within documents.
      • Example: firstName, lastName, orderDate.

By following these conventions, you ensure that your database schema is clear, consistent, and less prone to errors related to case sensitivity across different operating systems.


  • Final Recommendation:
    • For databases: Use snake_case (e.g., user_profiles, order_details).
      • Do not rely on case to distinguish between databases, so avoiding using camel cases
    • For collections:
      • user_profiles instead of user-profiles.
        • or, Use userProfiles or
    • For fields: Use camelCase(lower) (e.g., firstName, orderDate).
db.sales_data.user_profiles.find()
db.sales_data.order_details.find()
{
  "firstName": "John",
  "lastName": "Doe",
  "orderDate": "2024-06-01"
}
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