SQL Exercise: Salesmen belongs to a city, customers have a grade

SQL JOINS: Exercise-19 with Solution

Write a SQL statement to create a Cartesian product between salesperson and customer, i.e. each salesperson will appear for every customer and vice versa for those salesmen who belong to a city and customers who require a grade.

Sample table: salesman

 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
        5007 | Paul Adam  | Rome     |       0.13
        5003 | Lauson Hen | San Jose |       0.12

Sample table: customer

 customer_id |   cust_name    |    city    | grade | salesman_id 
-------------+----------------+------------+-------+-------------
        3002 | Nick Rimando   | New York   |   100 |        5001
        3007 | Brad Davis     | New York   |   200 |        5001
        3005 | Graham Zusi    | California |   200 |        5002
        3008 | Julian Green   | London     |   300 |        5002
        3004 | Fabian Johnson | Paris      |   300 |        5006
        3009 | Geoff Cameron  | Berlin     |   100 |        5003
        3003 | Jozy Altidor   | Moscow     |   200 |        5007
        3001 | Brad Guzan     | London     |       |        5005

Sample Solution:

-- Selecting all columns from the Cartesian product of the 'salesman' and 'customer' tables
SELECT * 
-- Specifying the tables to perform the cross join ('salesman' as 'a' and 'customer' as 'b')
FROM salesman a 
CROSS JOIN customer b 
-- Filtering the results based on two conditions: 'city' in 'salesman' is not null and 'grade' in 'customer' is not null
WHERE a.city IS NOT NULL 
AND b.grade IS NOT NULL;

Output of the Query:

salesman_id	name		city	commission	customer_id	cust_name	city		grade	salesman_id
5001		James Hoog	New York	0.15	3002		Nick Rimando	New York	100	5001
5002		Nail Knite	Paris		0.13	3002		Nick Rimando	New York	100	5001
5005		Pit Alex	London		0.11	3002		Nick Rimando	New York	100	5001
5006		Mc Lyon		Paris		0.14	3002		Nick Rimando	New York	100	5001
5007		Paul Adam	Rome		0.13	3002		Nick Rimando	New York	100	5001
5003		Lauson Hen	San Jose	0.12	3002		Nick Rimando	New York	100	5001
5001		James Hoog	New York	0.15	3007		Brad Davis	New York	200	5001
5002		Nail Knite	Paris		0.13	3007		Brad Davis	New York	200	5001
5005		Pit Alex	London		0.11	3007		Brad Davis	New York	200	5001
5006		Mc Lyon		Paris		0.14	3007		Brad Davis	New York	200	5001
5007		Paul Adam	Rome		0.13	3007		Brad Davis	New York	200	5001
5003		Lauson Hen	San Jose	0.12	3007		Brad Davis	New York	200	5001
5001		James Hoog	New York	0.15	3005		Graham Zusi	California	200	5002
5002		Nail Knite	Paris		0.13	3005		Graham Zusi	California	200	5002
5005		Pit Alex	London		0.11	3005		Graham Zusi	California	200	5002
5006		Mc Lyon		Paris		0.14	3005		Graham Zusi	California	200	5002
5007		Paul Adam	Rome		0.13	3005		Graham Zusi	California	200	5002
5003		Lauson Hen	San Jose	0.12	3005		Graham Zusi	California	200	5002
5001		James Hoog	New York	0.15	3008		Julian Green	London		300	5002
5002		Nail Knite	Paris		0.13	3008		Julian Green	London		300	5002
5005		Pit Alex	London		0.11	3008		Julian Green	London		300	5002
5006		Mc Lyon		Paris		0.14	3008		Julian Green	London		300	5002
5007		Paul Adam	Rome		0.13	3008		Julian Green	London		300	5002
5003		Lauson Hen	San Jose	0.12	3008		Julian Green	London		300	5002
5001		James Hoog	New York	0.15	3004		Fabian Johnson	Paris		300	5006
5002		Nail Knite	Paris		0.13	3004		Fabian Johnson	Paris		300	5006
5005		Pit Alex	London		0.11	3004		Fabian Johnson	Paris		300	5006
5006		Mc Lyon		Paris		0.14	3004		Fabian Johnson	Paris		300	5006
5007		Paul Adam	Rome		0.13	3004		Fabian Johnson	Paris		300	5006
5003		Lauson Hen	San Jose	0.12	3004		Fabian Johnson	Paris		300	5006
5001		James Hoog	New York	0.15	3009		Geoff Cameron	Berlin		100	5003
5002		Nail Knite	Paris		0.13	3009		Geoff Cameron	Berlin		100	5003
5005		Pit Alex	London		0.11	3009		Geoff Cameron	Berlin		100	5003
5006		Mc Lyon		Paris		0.14	3009		Geoff Cameron	Berlin		100	5003
5007		Paul Adam	Rome		0.13	3009		Geoff Cameron	Berlin		100	5003
5003		Lauson Hen	San Jose	0.12	3009		Geoff Cameron	Berlin		100	5003
5001		James Hoog	New York	0.15	3003		Jozy Altidor	Moscow		200	5007
5002		Nail Knite	Paris		0.13	3003		Jozy Altidor	Moscow		200	5007
5005		Pit Alex	London		0.11	3003		Jozy Altidor	Moscow		200	5007
5006		Mc Lyon		Paris		0.14	3003		Jozy Altidor	Moscow		200	5007
5007		Paul Adam	Rome		0.13	3003		Jozy Altidor	Moscow		200	5007
5003		Lauson Hen	San Jose	0.12	3003		Jozy Altidor	Moscow		200	5007

Explanation:

The said SQL query is selecting all columns (*) from the table salesman as table a and the table customer as table b. It is then performing a CROSS JOIN, which combines every row from table 'a' with every row from table 'b'. The query is also filtering the results by only including rows where the 'city' column in table 'a' is not null and the 'grade' column in table 'b' is not null. Essentially this query will give the cartesian product of salesman and customer table where city and grade are not null.

Visual Explanation:

Practice Online

Query Visualization:

Duration:

Rows:

Cost:

Note: In certain instances not null is removed in table structure, so results may vary and the pictorial represetation above is based on such a table for the purpose of explanation only.

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