SQL Exercises: Find all orders attributed to salesman in New York
SQL SUBQUERY: Exercise-5 with Solution
5. From the following tables, write a SQL query to find all the orders generated in New York city. Return ord_no, purch_amt, ord_date, customer_id and salesman_id.
Sample table: Salesmansalesman_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 0.13Sample table: Orders
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 in the result of a subquery
WHERE salesman_id IN
-- Subquery: Selecting 'salesman_id' from the 'salesman' table where 'city' is 'New York'
(SELECT salesman_id
FROM salesman
WHERE city = 'New York');
Output of the Query:
ord_no purch_amt ord_date customer_id salesman_id 70002 65.26 2012-10-05 3002 5001 70005 2400.60 2012-07-27 3007 5001 70008 5760.00 2012-09-10 3002 5001 70013 3045.60 2012-04-25 3002 5001
Explanation:
The given SQL query selects all columns (*) from the orders table where the 'salesman_id' is in the set of 'salesman_id' from the salesman table where the 'city' is equal to 'New York'. In other words, it is selecting all rows from the orders table where the salesman who made the sale is from the city of New York.
Visual Explanation:
Practice Online
Sample Database: inventory
Query Visualization:
Duration:
Rows:
Cost:
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Previous SQL Exercise: Orders with values greater than the given date average.
Next SQL Exercise: Display the commissions of all salespeople in Paris.
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