Description

Given three tables: salesperson, company, orders.
Output all the names in the table salesperson, who didn’t have sales to company 'RED'.

Example
Input

Table: salesperson

+----------+------+--------+-----------------+-----------+
| sales_id | name | salary | commission_rate | hire_date |
+----------+------+--------+-----------------+-----------+
|   1      | John | 100000 |     6           | 4/1/2006  |
|   2      | Amy  | 120000 |     5           | 5/1/2010  |
|   3      | Mark | 65000  |     12          | 12/25/2008|
|   4      | Pam  | 25000  |     25          | 1/1/2005  |
|   5      | Alex | 50000  |     10          | 2/3/2007  |
+----------+------+--------+-----------------+-----------+

Table: company

+---------+--------+------------+
| com_id  |  name  |    city    |
+---------+--------+------------+
|   1     |  RED   |   Boston   |
|   2     | ORANGE |   New York |
|   3     | YELLOW |   Boston   |
|   4     | GREEN  |   Austin   |
+---------+--------+------------+

Table: orders

+----------+------------+---------+----------+--------+
| order_id | order_date | com_id  | sales_id | amount |
+----------+------------+---------+----------+--------+
| 1        |   1/1/2014 |    3    |    4     | 100000 |
| 2        |   2/1/2014 |    4    |    5     | 5000   |
| 3        |   3/1/2014 |    1    |    1     | 50000  |
| 4        |   4/1/2014 |    1    |    4     | 25000  |
+----------+----------+---------+----------+--------+

output

+------+
| name |
+------+
| Amy  |
| Mark |
| Alex |
+------+

Explanation

According to order '3' and '4' in table orders, it is easy to tell only salesperson 'John' and 'Alex' have sales to company 'RED',
so we need to output all the other names in table salesperson.