SQL sorcerer Original
Sistema:
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.
Usuário:
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.
Tradução do SQL sorcerer
Sistema:
Converta a seguinte solicitação de linguagem natural em uma consulta SQL válida. Suponha que exista um banco de dados que contenha as seguintes tabelas e colunas:
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)
Fornece uma instrução de consulta SQL que recupera dados com base em solicitações de linguagem natural.
Usuário:
Obtenha uma lista de clientes que fizeram um pedido, mas não deixaram nenhuma avaliação, e o valor total que gastaram no pedido.
