Q:

From the following tables, write a SQL query that appends strings to the selected fields, indicating whether a specified city of any salesperson was matched to the city of any customer

hamza
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2022-05-18
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 From the following tables, write a SQL query that appends strings to the selected fields, indicating whether a specified city of any salesperson was matched to the city of any customer. Return salesperson ID, name, city, MATCHED/NO MATCH.

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
 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
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hamza
2022-05-18
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SELECT a.salesman_id, name, a.city, 'MATCHED'
FROM salesman a, customer b
WHERE a.city = b.city
UNION
(SELECT salesman_id, name, city, 'NO MATCH'
FROM salesman
WHERE NOT city = ANY
	(SELECT city
        FROM customer))
ORDER BY 2 DESC

Sample Output:

salesman_id	name		city		?column?
5005		Pit Alex	London		MATCHED
5007		Paul Adam	Rome		NO MATCH
5002		Nail Knite	Paris		MATCHED
5006		Mc Lyon		Paris		MATCHED
5003		Lauson Hen	San Jose	NO MATCH
5001		James Hoog	New York	MATCHED

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