SQL Exercises: Display all orders issued by Paul Adam.

SQL SUBQUERY: Exercise-1 with Solution

1. From the following tables, write a SQL query to find all the orders issued by the salesman 'Paul Adam'. Return ord_no, purch_amt, ord_date, customer_id and salesman_id.

salesman_id  name        city        commission
-----------  ----------  ----------  ----------
5001         James Hoog  New York    0.15
5002         Nail Knite  Paris       0.13
5005         Pit Alex    London      0.11
5006         Mc Lyon     Paris       0.14
5003         Lauson Hen  San Jose    0.12
5007         Paul Adam   Rome        0.13

ord_no      purch_amt   ord_date    customer_id  salesman_id
----------  ----------  ----------  -----------  -----------
70001       150.5       2012-10-05  3005         5002
70009       270.65      2012-09-10  3001         5005
70002       65.26       2012-10-05  3002         5001
70004       110.5       2012-08-17  3009         5003
70007       948.5       2012-09-10  3005         5002
70005       2400.6      2012-07-27  3007         5001
70008       5760        2012-09-10  3002         5001
70010       1983.43     2012-10-10  3004         5006
70003       2480.4      2012-10-10  3009         5003
70012       250.45      2012-06-27  3008         5002
70011       75.29       2012-08-17  3003         5007
70013       3045.6      2012-04-25  3002         5001

Sample Solution:

-- Selecting all columns from the 'orders' table
SELECT *
-- Specifying the table to retrieve data from ('orders')
FROM orders
-- Filtering the results based on the condition that 'salesman_id' is equal to the result of a subquery
WHERE salesman_id =
    -- Subquery: Selecting 'salesman_id' from the 'salesman' table where 'name' is 'Paul Adam'
    (SELECT salesman_id 
     FROM salesman 
     WHERE name='Paul Adam');

Output of the Query:

ord_no	purch_amt	ord_date	customer_id	salesman_id
70011	75.29		2012-08-17	3003		5007

Explanation:

The given SQL statement is selecting all columns (*) from the orders table where the 'salesman_id' matches the 'salesman_id' of the salesman named 'Paul Adam' in the salesman table.
It first looks in the salesman table to find the 'salesman_id' of the salesman named 'Paul Adam', then uses that value to filter the rows in the orders table where the 'salesman_id' column is equal to that value.

Visual Explanation:

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Sample Database: inventory

Query Visualization:

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