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SQL Exercises: View to find salesman with the highest order of a day


7. From the following table, create a view to find the salesperson who handles a customer who makes the highest order of the day. Return order date, salesperson ID, name.

Sample table: Customer

 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

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

Sample 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:

-- Creating a VIEW named 'elitsalesman'
CREATE VIEW elitsalesman

-- Selecting columns 'ord_date', 'salesman_id', and 'name' from the 'salesman' and 'orders' tables
-- Using aliases 'a' and 'b' for the respective tables
-- Joining tables based on matching 'salesman_id' and filtering records where 'purch_amt' is the maximum for each 'ord_date'
AS SELECT b.ord_date, a.salesman_id, a.name
FROM salesman a, orders b
WHERE a.salesman_id = b.salesman_id
AND b.purch_amt =
    (SELECT MAX (purch_amt)
       FROM orders c
       WHERE c.ord_date = b.ord_date);

output:

sqlpractice=# SELECT *
sqlpractice-# FROM elitsalesman;
  ord_date  | salesman_id |     name
------------+-------------+--------------
 2012-08-17 |        5003 | Lauson Hense
 2012-07-27 |        5001 | James Hoog 
 2012-09-10 |        5001 | James Hoog 
 2012-10-10 |        5003 | Lauson Hense
 2012-06-27 |        5002 | Nail Knite
 2012-04-25 |        5001 | James Hoog 
 2012-10-05 |        5002 | Nail Knite
 2012-09-22 |        5006 | Mc Lyon
(8 rows)

Code Explanation:

The said query in SQL creates a view named 'elitsalesman' which shows the order date, salesman ID, and salesman name for the top-performing salesman for each order date.
The join condition include rows where the salesman ID in the 'salesman' table matches the salesman ID in the 'orders' table.
The WHERE clause will filter and only include rows where the purchase amount for the given order date is equal to the maximum purchase amount for that date. This effectively selects the top-performing salesman for each order date.

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Inventory database model:

Inventory database model.


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