N017-E1 Tier 2 · Core SQL · easy ecommerce · Brightlane

Return the customer name, order ID, and order total for every order

Part of INNER JOIN in SQL

The problem

Brightlane's customer service team is assembling a case-management report and needs order records matched to the customers who placed them.

Write a query to return the customer name, order ID, and order total for every order.

Assumptions:

  • Every order has a valid customer_id, so every order will appear in the result.

Output:

  • One row per order, with columns customer_name, order_id, and total_amount.
Schema · ecommerce 5 tables
categories
id integer
name text
parent_id? integer
products
id integer
name text
category_id integer
price numeric
stock_qty integer
attributes? jsonb
order_items
id integer
order_id integer
product_id integer
quantity integer
unit_price numeric
customers
id integer
name text
email text
city? text
country text
created_at timestamptz
is_active boolean
orders
id integer
customer_id integer
ordered_at timestamptz
status text
total_amount numeric

Run previews · Check grades

Write a query, then run it to see results here.

Worked solution Try it yourself first
Solution query
SELECT
  c.name AS customer_name,
  o.id AS order_id,
  o.total_amount
FROM
  orders o
  JOIN customers c ON o.customer_id = c.id

The shape

The orders table carries a customer_id reference, and the customers table carries the matching id. JOIN ... ON o.customer_id = c.id pairs each order with its customer, so a single row in the result holds the order ID, the total, and the customer's name side by side.

Clause by clause

  • FROM orders o reads from the orders table and aliases it as o. The aliasing matters here because orders and customers both have an id column, and unqualified references to id would be ambiguous.
  • JOIN customers c ON o.customer_id = c.id is the assembly. For each row in orders, PostgreSQL finds the row in customers whose id equals that order's customer_id, and emits a combined row. Because every order has a valid customer_id, every order appears exactly once in the result. 200 orders in, 200 rows out.
  • SELECT c.name AS customer_name, o.id AS order_id, o.total_amount picks three columns from the combined row: the customer's name from the customers side, the order's ID from the orders side, and the total from the order. Every column reference is prefixed by its alias, and the two ID columns get explicit aliases (customer_name, order_id) so the result row reads as a case-management report rather than two unqualified id columns next to each other.

You practiced an INNER JOIN between two tables on a foreign-key/primary-key match. The recurring shape: when a fact (an order) holds a reference to a parent entity (a customer) and the report needs columns from both, JOIN ... ON foreign_key = primary_key is the assembly mechanism.

How you actually get good at SQL

Reading explains SQL. Writing it, over and over with instant feedback, is what makes you fluent.

That's the whole SQLMaxx loop: 600+ real problems, instant AI feedback, mastery you can actually see, and spaced review that won't let you forget.

A stack of SQL practice problem cards, the top card showing an employees table.
615 problems · 66 concepts

Real problems. Not toy examples.

615 hand-built problems spanning all 66 concepts, from basic SELECTs to window functions, built on real schemas and real business questions, the kind you'll actually get asked on the job. Enough reps to make SQL automatic.

A retro computer showing a SQL query marked correct with a green checkmark.
Instant AI feedback

Write a query. Know if it's right in one second.

No copying an answer and hoping it clicked. The AI grader checks your real query against real data, catches exactly what's wrong, and explains the fix in plain English, like a senior analyst reading over your shoulder on every problem.

A circular mastery progress dial filling from blue to green, the SQLMaxx diamond at its center.
Mastery tracking

Stop guessing whether you actually know it.

SQLMaxx tracks every concept and shows you what you've mastered and what's still shaky. Your skills fill in one concept at a time, so 'I think I get joins' becomes something you can prove.

A SQL query editor circled by a blue return arrow with a clock, scheduled to come back for review.
Spaced review

Learn it once. Keep it for good.

Most of what you learn this week fades by next week. So when a concept comes due for review, SQLMaxx hands you a fresh problem to solve from a blank editor, not a flashcard to re-read. A research-backed spaced-repetition algorithm (FSRS) times each return for right before you'd forget, so your SQL is still there months later, when the interview or the job actually needs it.

Practice, feedback, mastery, review. That's the loop that turns reading into real skill.

Start free

No account, no credit card. Start solving in under a minute.