N002-H1 Tier 1 · Foundations · hard ecommerce · Brightlane

Return every order line item with its record ID, the order it belongs to, the product ID, the quantity purchased, and the unit price at time of purchase

Part of FROM and Table References in SQL

The problem

Brightlane's finance controller is running a revenue audit and needs line-item data, not order-level totals.

Write a query to return every order line item with its record ID, the order it belongs to, the product ID, the quantity purchased, and the unit price at time of purchase.

Assumptions:

  • The order_items table contains one row per product per order — orders with multiple products produce multiple rows here.
  • Each line item has its own id, plus an order_id, product_id, quantity, and unit_price.
  • The unit_price reflects the price at the time the order was placed, which may differ from the product's current price.

Output:

  • One row per order line item, with columns id, order_id, product_id, quantity, and unit_price.
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

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Solution query
SELECT
  id,
  order_id,
  product_id,
  quantity,
  unit_price
FROM
  order_items

The shape

FROM order_items is the choice that makes the rest of the query work. The line-item table holds one row per product per order, which is the grain the revenue audit needs; the orders table next to it would only hand back one row per order, no matter how many items each order contained.

Clause by clause

  • SELECT id, order_id, product_id, quantity, unit_price returns five columns in source order. The line-item identifier comes first so each row can be referenced individually, then the foreign keys that tie the line back to its order and its product, then the two columns that actually carry the money: how many were sold, and at what price each.
  • FROM order_items is the row source. The table is a junction between orders and products — every row represents one product appearing on one order, and that's exactly the grain a revenue audit operates at. With no WHERE clause, every line item across every order comes through, which is what the audit needs to reconcile the full books.
  • The unit_price column carries the price as it was at the time of the order, not the product's current price. The prompt calls this out explicitly because it matters: revenue is the price paid, not the price listed today. Reading it from order_items preserves the historical record; reading the price from products would silently substitute today's price for every old line.

Why this and not FROM orders

The orders table has one row per order. If a single order contained five different products, FROM orders would still return one row for that order, and the line-level detail would be invisible. A revenue audit can't be done at order grain — two orders with the same total can have completely different line-item composition, and the audit has to see that composition to be useful.

The trap

Reading from the table that names the business entity instead of the table that holds the grain you actually need. "Order line item" sounds like it lives on the orders table because the word "order" is in the name. It doesn't. Junction tables like order_items are where many-to-many relationships are recorded, and any question that asks about the relationship itself — which products were on which orders, in what quantity, at what price — needs to read from the junction, not from either side.

You practiced reading from a junction table that records the relationship between two other tables. Many-to-many relationships almost always go through a junction like order_items — read it directly when the line-level detail is the answer.

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