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In a service-oriented database system, calculating the total service expenditure incurred by each customer is a common DBMS operation. It involves storing customer details, recording the services used by each customer, maintaining the cost of every service, and then applying an aggregate function such as `SUM()` to calculate the total expenditure for each customer. In a DBMS and C++ Lab context, this problem demonstrates the practical use of tables, primary keys, foreign keys, joins, grouping, aggregate functions, and database connectivity. Suppose a database contains information about customers and the services they have availed. The customer table may contain fields such as `Customer_ID`, `Customer_Name`, `Address`, and `Phone`. Another table, such as `Service`, may contain `Service_ID`, `Service_Name`, and `Service_Cost`. A third table, `Customer_Service`, can record which customer has used which service and how many times. For example, the tables can be designed as follows: `Customer(Customer_ID, Customer_Name, Address, Phone)` `Service(Service_ID, Service_Name, Service_Cost)` `Customer_Service(Customer_ID, Service_ID, Quantity)` The `Customer_ID` field uniquely identifies each customer and acts as the primary key of the `Customer` table. Similarly, `Service_ID` is the primary key of the `Service` table. In the `Customer_Service` table, these fields act as foreign keys and establish relationships between customers and _________ _______ ______ _____ ________ ________ _______ _____ _________ _____ _______.
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