SQL Exercises: Customers who ordered on August 17, 2012
SQL SUBQUERY: Exercise-10 with Solution
10. From the following tables write SQL query to find the customers who placed orders on 17th August 2012. Return ord_no, purch_amt, ord_date, customer_id, salesman_id and cust_name.
Sample table: Ordersord_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 5001Sample table : Customer
customer_id cust_name city grade salesman_id ----------- ------------ ---------- ---------- ----------- 3002 Nick Rimando New York 100 5001 3005 Graham Zusi California 200 5002 3001 Brad Guzan London 100 5005 3004 Fabian Johns Paris 300 5006 3007 Brad Davis New York 200 5001 3009 Geoff Camero Berlin 100 5003 3008 Julian Green London 300 5002 3003 Jozy Altidor Moncow 200 5007
Sample Solution:
-- Selecting all columns from the 'orders' table and the 'cust_name' column from the 'customer' table
SELECT b.*, a.cust_name
-- Specifying the tables to retrieve data from ('orders' as 'b' and 'customer' as 'a')
FROM orders b, customer a
-- Filtering the results based on the condition that 'customer_id' is the same in both tables and 'ord_date' is '2012-08-17'
WHERE a.customer_id = b.customer_id
AND b.ord_date = '2012-08-17';
Output of the Query:
ord_no purch_amt ord_date customer_id salesman_id cust_name 70004 110.50 2012-08-17 3009 5003 Geoff Cameron 70011 75.29 2012-08-17 3003 5007 Jozy Altidor
Explanation:
The said SQL query is selecting all columns from the 'orders' table (aliased as 'b') and the "cust_name" column from the 'customer' table (aliased as 'a') where the "customer_id" column in the 'customer' table matches the "customer_id" column in the 'orders' table and the "ord_date" column in the 'orders' table is equal to '2012-08-17'.
It is using a JOIN operation to combine the data from both tables based on the matching customer_id.
Visual Explanation:
Practice Online
Sample Database: inventory
Query Visualization:
Duration:
Rows:
Cost:
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