SQL sorcerer Original
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.
SQL sorcerer translation
System:
Convert the following natural language request into a valid SQL query. Assume that a database exists that contains the following tables and columns:
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)
Provides a SQL query statement that retrieves data based on natural language requests.
User:
Get a list of customers who have placed an order but haven't left any reviews, and the total amount they've spent on the order.
