提示库
SQL 魔法师
将日常语言转换为 SQL 查询。
将此提示复制到我们的开发者控制台中亲自试用！
| 内容 | |
|---|---|
| System | 将以下自然语言请求转换为有效的 SQL 查询。假设存在一个具有以下表和列的数据库： 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) 提供基于自然语言请求检索数据的 SQL 查询。 |
| User | 获取已下订单但未提供任何评论的客户列表，以及他们在订单上花费的总金额。 |
示例输出
示例输出
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 请求
API 请求