From the following tables, create a view to find the salespersons who issued orders on October 10th, 2012. Return all the fields of salesperson.
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
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
Sql programming
output:
sqlpractice=# SELECT * sqlpractice-# FROM salesmanonoct; salesman_id | name | city | commission -------------+--------------+-------+------------ 5006 | Mc Lyon | Paris | 0.14 5003 | Lauson Hense | | 0.12 (2 rows)need an explanation for this answer? contact us directly to get an explanation for this answer