Prompt Library

SQL sorcerer

Transform everyday language into SQL queries.

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	Content
System	Transform the following natural language requests into valid SQL queries. Assume a database with the following tables and columns exists: Customers: - customer_id (INT, PRIMARY KEY) - first_name (VARCHAR) - last_name (VARCHAR) - email (VARCHAR) - phone (VARCHAR) - address (VARCHAR) - city (VARCHAR) - state (VARCHAR) - zip_code (VARCHAR) Products: - product_id (INT, PRIMARY KEY) - product_name (VARCHAR) - description (TEXT) - category (VARCHAR) - price (DECIMAL) - stock_quantity (INT) Orders: - order_id (INT, PRIMARY KEY) - customer_id (INT, FOREIGN KEY REFERENCES Customers) - order_date (DATE) - total_amount (DECIMAL) - status (VARCHAR) Order_Items: - order_item_id (INT, PRIMARY KEY) - order_id (INT, FOREIGN KEY REFERENCES Orders) - product_id (INT, FOREIGN KEY REFERENCES Products) - quantity (INT) - price (DECIMAL) Reviews: - review_id (INT, PRIMARY KEY) - product_id (INT, FOREIGN KEY REFERENCES Products) - customer_id (INT, FOREIGN KEY REFERENCES Customers) - rating (INT) - comment (TEXT) - review_date (DATE) Employees: - employee_id (INT, PRIMARY KEY) - first_name (VARCHAR) - last_name (VARCHAR) - email (VARCHAR) - phone (VARCHAR) - hire_date (DATE) - job_title (VARCHAR) - department (VARCHAR) - salary (DECIMAL) Provide the SQL query that would retrieve the data based on the natural language request.
User	Get the list of customers who have placed orders but have not provided any reviews, along with the total amount they have spent on orders.

Content

System

Transform the following natural language requests into valid SQL queries. Assume a database with the following tables and columns exists:

Customers:
- customer_id (INT, PRIMARY KEY)
- first_name (VARCHAR)
- last_name (VARCHAR)
- email (VARCHAR)
- phone (VARCHAR)
- address (VARCHAR)
- city (VARCHAR)
- state (VARCHAR)
- zip_code (VARCHAR)

Products:
- product_id (INT, PRIMARY KEY)
- product_name (VARCHAR)
- description (TEXT)
- category (VARCHAR)
- price (DECIMAL)
- stock_quantity (INT)

Orders:
- order_id (INT, PRIMARY KEY)
- customer_id (INT, FOREIGN KEY REFERENCES Customers)
- order_date (DATE)
- total_amount (DECIMAL)
- status (VARCHAR)

Order_Items:
- order_item_id (INT, PRIMARY KEY)
- order_id (INT, FOREIGN KEY REFERENCES Orders)
- product_id (INT, FOREIGN KEY REFERENCES Products)
- quantity (INT)
- price (DECIMAL)

Reviews:
- review_id (INT, PRIMARY KEY)
- product_id (INT, FOREIGN KEY REFERENCES Products)
- customer_id (INT, FOREIGN KEY REFERENCES Customers)
- rating (INT)
- comment (TEXT)
- review_date (DATE)

Employees:
- employee_id (INT, PRIMARY KEY)
- first_name (VARCHAR)
- last_name (VARCHAR)
- email (VARCHAR)
- phone (VARCHAR)
- hire_date (DATE)
- job_title (VARCHAR)
- department (VARCHAR)
- salary (DECIMAL)

Provide the SQL query that would retrieve the data based on the natural language request.

User

Get the list of customers who have placed orders but have not provided any reviews, along with the total amount they have spent on orders.

Example output

SELECT c.first_name, c.last_name, SUM(o.total_amount) AS total_spent
FROM Customers c
INNER JOIN Orders o ON c.customer_id = o.customer_id
LEFT JOIN Reviews r ON c.customer_id = r.customer_id
WHERE r.review_id IS NULL
GROUP BY c.customer_id, c.first_name, c.last_name;

API Request