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Database-Works

This database task involves the creation of a relational database named "Ahmad" with three tables: "Salesman," "customer," and "Orders." The tables are designed to store information related to salesmen, customers, and orders. Here's a summary of the database schema and the provided data:

Database Schema:

  1. Salesman Table:

    • Columns: salesman_Id (Primary Key), Name, city, commission
  2. Customer Table:

    • Columns: customer_Id (Primary Key), cust_name, city, grade, salesman_Id (Foreign Key referencing Salesman)
  3. Orders Table:

    • Columns: ord_no (Primary Key), purch_amount, ord_date, customer_id (Foreign Key referencing customer), salesman_id (Foreign Key referencing Salesman)

Provided Data:

The INSERT statements add data to the respective tables.

Queries:

  1. Join Salesman and customer:

    • Display the names and cities of salesmen and customers where the city of the salesman matches the city of the customer.
  2. Filter Orders by Amount:

    • Retrieve order details (order number, purchase amount, customer name, and city) where the purchase amount is between 200 and 500.
  3. Join Customer and Salesman for Commission:

    • Display customer names, cities, salesman names, and commissions where the salesman_Id in the customer table matches the salesman_Id in the Salesman table.
  4. Filtered Join with Commission Criteria:

    • Display customer names, cities, salesman names, and commissions where the commission is greater than 0.12.
  5. Join Customer and Salesman with Additional Columns:

    • Display customer names, cities, grades, salesman names, and cities where the salesman_Id in the customer table matches the salesman_Id in the Salesman table.
  6. Filter Customers by Grade:

    • Display salesman names, customer cities, and customer names where the grade in the customer table is less than 300.
  7. Right Join Salesman and customer:

    • Retrieve salesman Id and names using a right join between Salesman and customer tables, ordered by Salesman names in ascending order.

Description:

The provided SQL queries aim to extract meaningful information from the database. They involve joins between the "Salesman," "customer," and "Orders" tables to connect relevant data. The queries cover a range of scenarios, such as filtering orders by purchase amount, displaying customer and salesman details, and considering specific criteria like commission values and customer grades. Each query serves a particular analytical purpose within the context of the database schema and the provided data.

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