Database Schema

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Designing a database schema for a real estate application involves organizing and structuring data to efficiently store and retrieve information about properties, users, transactions, and other relevant details. Here's a simplified example of a real estate database schema with tables, columns, and their relationships:

2. Properties Table:

   • property_id (Primary Key)
   • title
   • description
   • location
   • price
   • bedrooms
   • bathrooms
   • area_sqft
   • year_built
   • property_type (e.g., house, apartment, condo)
   • status (e.g., listed, sold)
   • list_date
   • sold_date
   • agent_id (Foreign Key, linking to the Users table)

3. Images Table:

   • image_id (Primary Key)
   • property_id (Foreign Key, linking to the Properties table)
   • image_url

4. Favorites Table:

   • favorite_id (Primary Key)
   • user_id (Foreign Key, linking to the Users table)
   • property_id (Foreign Key, linking to the Properties table)

5. Appointments Table:

   • appointment_id (Primary Key)
   • user_id (Foreign Key, linking to the Users table)
   • agent_id (Foreign Key, linking to the Users table)
   • property_id (Foreign Key, linking to the Properties table)
   • appointment_date
   • status (e.g., requested, confirmed, canceled)

6. Transactions Table:

   • transaction_id (Primary Key)
   • property_id (Foreign Key, linking to the Properties table)
   • buyer_id (Foreign Key, linking to the Users table)
   • seller_id (Foreign Key, linking to the Users table)
   • transaction_date
   • transaction_amount

7. Reviews Table:

   • review_id (Primary Key)
   • user_id (Foreign Key, linking to the Users table)
   • property_id (Foreign Key, linking to the Properties table)
   • rating
   • comment
   • review_date

8. Property Features Table:

   • feature_id (Primary Key)
   • property_id (Foreign Key, linking to the Properties table)
   • feature_name (e.g., pool, garage, garden)

This schema includes tables for users, properties, images, favorites, appointments, transactions, reviews, and property features. It also establishes relationships between these tables using foreign keys to maintain data integrity.

You may need to consider additional details and optimizations depending on the specific requirements of your real estate application. This schema serves as a starting point and can be further refined based on your application's unique needs.