SQL Exercises: Largest and smallest orders are produced on each date

Last update on December 20 2024 12:05:09 (UTC/GMT +8 hours)

4. From the following table, write a SQL query to find the salespersons who generated the largest and smallest orders on each date. Return salesperson ID, name, order no., highest on/lowest on, order date.

Sample table: Salesman

Sample table: Orders

Sample Solution:

-- Selecting specific columns (a.salesman_id, name, ord_no, 'highest on', ord_date) from the 'salesman' table (aliased as 'a') and the 'orders' table (aliased as 'b')
SELECT a.salesman_id, name, ord_no, 'highest on', ord_date

-- Joining the 'salesman' table (aliased as 'a') and the 'orders' table (aliased as 'b') based on the condition that 'salesman_id' is equal in both tables and filtering rows based on the condition that 'purch_amt' is equal to the maximum 'purch_amt' for the same 'ord_date'
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
)

-- Performing a UNION operation with the result set of a subquery that selects specific columns (a.salesman_id, name, ord_no, 'lowest on', ord_date) from the 'salesman' table (aliased as 'a') and the 'orders' table (aliased as 'b')
UNION

-- Selecting specific columns (a.salesman_id, name, ord_no, 'lowest on', ord_date) from the 'salesman' table (aliased as 'a') and the 'orders' table (aliased as 'b')
SELECT a.salesman_id, name, ord_no, 'lowest on', ord_date

-- Joining the 'salesman' table (aliased as 'a') and the 'orders' table (aliased as 'b') based on the condition that 'salesman_id' is equal in both tables and filtering rows based on the condition that 'purch_amt' is equal to the minimum 'purch_amt' for the same 'ord_date'
FROM salesman a, orders b
WHERE a.salesman_id = b.salesman_id
AND b.purch_amt = (
    SELECT MIN(purch_amt)
    FROM orders c
    WHERE c.ord_date = b.ord_date
)

Sample Output:

salesman_id	name	   	ord_no	?column?	ord_date
5001		James Hoog	70002	lowest on	2012-10-05
5001		James Hoog	70005	highest on	2012-07-27
5001		James Hoog	70005	lowest on	2012-07-27
5001		James Hoog	70008	highest on	2012-09-10
5001		James Hoog	70013	highest on	2012-04-25
5001		James Hoog	70013	lowest on	2012-04-25
5002		Nail Knite	70001	highest on	2012-10-05
5002		Nail Knite	70012	highest on	2012-06-27
5002		Nail Knite	70012	lowest on	2012-06-27
5003		Lauson Hen	70003	highest on	2012-10-10
5003		Lauson Hen	70004	highest on	2012-08-17
5005		Pit Alex	70009	lowest on	2012-09-10
5006		Mc Lyon		70010	lowest on	2012-10-10
5007		Paul Adam	70011	lowest on	2012-08-17

Code Explanation:

The said query in SQL that selects the salesman_id, name, ord_no, and ord_date for each order where the purchase amount is the highest or lowest for that order date. The query uses a subquery to find the highest or lowest purchase amount for each order date, and then joins the orders and salesman tables using the salesman_id column.
The output of the query will consist of two sets of rows: one for the highest purchase amount and one for the lowest purchase amount for each order date. The 'highest on' and 'lowest on' values are added as literals to indicate which one of the two values it is displaying.
The outer query of the first subquery selects the rows where the purchase amount matches the maximum value.
This UNION keyword combines the results of the first query with the results of the second query.
The outer query of the second subquery selects the rows where the purchase amount matches the minimum value.

Practice Online

Query Visualization:

Duration:

Rows:

Cost:

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