N021-E2 Tier 2 · Core SQL · easy ecommerce · Brightlane

Return the subcategory name and parent category name for every subcategory that belongs to another category

Part of Self-Joins in SQL

The problem

Brightlane's product team is reviewing the category hierarchy and needs each subcategory paired with its parent category.

Write a query to return the subcategory name and parent category name for every subcategory that belongs to another category.

Assumptions:

  • The categories table contains every defined category in the catalogue.
  • The parent_id column links each subcategory to its parent — also a row in categories.
  • Top-level categories have parent_id set to NULL and will not appear in the result.

Output:

  • One row per subcategory, with columns subcategory_name and parent_category_name.
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 subcategory_name,
  p.name AS parent_category_name
FROM
  categories c
  JOIN categories p ON c.parent_id = p.id

The shape

The subcategory name and its parent name both live in categories, so the query joins the table to itself: one alias plays the subcategory role, the other plays the parent role, and c.parent_id = p.id links them.

Clause by clause

  • SELECT c.name AS subcategory_name, p.name AS parent_category_name pulls name from both aliased instances. c.name is the child category (Phones, Men's, Furniture); p.name is the parent it rolls up to (Electronics, Clothing, Home & Garden).
  • FROM categories c reads the table in the subcategory role.
  • JOIN categories p ON c.parent_id = p.id reads the same table again in the parent role and links each row's parent_id to the matching row's id. The top-level categories (Electronics, Clothing, Home & Garden) have parent_id = NULL, so they never match anything in p and drop out of the result, which is what the prompt asks for.

The trap

The direction of the join condition matters. c.parent_id = p.id matches each child to its parent. Flipping it to c.id = p.parent_id reverses the roles: now p is the child and c is the parent, and the SELECT list returns parent names labeled as subcategory_name. Pick the alias that plays each role first, then write the condition in that direction.

You practiced a self-join on a parent-child column. The same shape that pairs employees with managers pairs subcategories with parent categories — the structure is identical, only the domain changes.

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.