Highest Profit per Order Product
Find product generating highest profit per single order.
The challenge runs on the SQLabHub practice database (SQLite) and uses the products and order_items tables. You can solve it in the browser, with nothing to install.
The task
Find product generating highest profit per single order.
A correct answer returns 119 rows with 2 columns: product_id, profit.
Tables used in this challenge
products 120 rows
id INTEGER (PK) · name TEXT · category TEXT · price REAL · cost REAL · stock INTEGER · sku TEXT · status TEXT · rating REAL · review_count INTEGER
| id | name | category | price | cost | stock | sku | status | rating | review_count |
|---|---|---|---|---|---|---|---|---|---|
order_items 496 rows
id INTEGER (PK) · order_id INTEGER · product_id INTEGER · quantity INTEGER · unit_price REAL · subtotal REAL
| id | order_id | product_id | quantity | unit_price | subtotal |
|---|---|---|---|---|---|
The first rows of each table are shown. See how all the tables relate on the database schema page.
Expected output
| product_id | profit |
|---|---|
First 5 of 119 rows. This is the output of the model solution on the practice database.
What you practise
- Summarising many rows into one value with COUNT, SUM, AVG, MIN or MAX
- Grouping rows with GROUP BY to get one result row per group
- Combining rows from two tables on a matching key with an inner join
- Sorting the result with ORDER BY
Hint and approach
Try the challenge first. Open these only when you need them.
Show the hint
JOIN products + order_items
Show the step-by-step approach
How the model solution is built, in the order the database evaluates it:
- Read from the
order_itemstable. - Join
productsonorder_items.product_id=products.id. - Group the rows by
order_items.product_id, so the result has one row for each value. - For each group, compute
MAX((products.price - products.cost) * order_items.quantity). - Sort the result by
profitdescending.
Model solution
Checking your session…
What to watch for
- INNER JOIN. An inner join drops rows that have no partner on the other side, and it repeats a row once for every match, which inflates SUM and COUNT.
- GROUP BY. Every selected column must either be in GROUP BY or sit inside an aggregate. SQLite accepts other columns and returns an arbitrary value for them; most databases raise an error.
- ORDER BY. Without ORDER BY the row order is not guaranteed, even if it looks stable. Rows that tie on the sort columns can come back in any order.
Related SQL challenges
- Calculate Profit Generated by Each CustomerSimilar levelHard
- Find the City with the Highest Total RevenueSimilar levelHard
- Calculate the Average Review Rating per Product CategoryEasierMedium
- Calculate Revenue and Units Sold per Product CategoryEasierMedium
- Count Distinct Products Bought by Each CustomerSimilar levelHard
Keep learning
- Lesson: INNER JOIN
- Lesson: GROUP BY
- Lesson: ORDER BY
- Lesson: Aggregate Functions
- All SQL practice challenges, by difficulty and topic
- SQL interview questions with answers
- SQL Playground: run any query on the same database