Claude提示库:SQL业务维度查询

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SQL sorcerer 原文

 

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 译文

 

System:

将以下自然语言请求转换为有效的SQL查询。假设存在一个包含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)

提供一个SQL查询语句,该语句可以根据自然语言请求检索数据。

 

User:

获取已经下单但是没有留下任何评价的客户名单,以及他们在订单上的消费总金额。

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