N014-E1 Tier 2 · Core SQL · easy ecommerce · Brightlane

Return the number of orders in each `status`

Part of GROUP BY in SQL

The problem

Brightlane's fulfilment director is reviewing pipeline health ahead of the monthly board report.

Write a query to return the number of orders in each status.

Assumptions:

  • The orders table contains every order Brightlane has processed.
  • The status column has a small handful of values; the result will have one row per status.

Output:

  • One row per status value, with columns status and order_count.
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
  status,
  COUNT(*) AS order_count
FROM
  orders
GROUP BY
  status

The shape

GROUP BY status partitions the orders table into one bucket per distinct status value, and COUNT(*) then runs once inside each bucket. The output has one row per status because that is the unit the count is now scoped to.

Clause by clause

  • SELECT status, COUNT(*) AS order_count returns the status label for each group alongside its row count. status is fine in the SELECT list because it appears in GROUP BY; COUNT(*) is fine because it is an aggregate.
  • FROM orders reads the full orders table as the input population.
  • GROUP BY status is what changes COUNT(*) from a single grand total into a per-status total. Without this clause the query would return one row with the total count across every status combined.

Why this and not a separate query per status

A single GROUP BY does the job of four hand-written WHERE status = '...' counts. The fulfilment director sees delivered at 161, shipped at 17, pending at 11, cancelled at 11 from one pass over the table, and any new status value that gets added later shows up automatically. Writing four separate counts hard-codes the status list into the query and breaks silently the first time a fifth status appears.

You practiced partitioning a table with GROUP BY so an aggregate runs once per partition. The recurring shape: any time a question is "X by Y" (orders by status, revenue by region), the Y goes in GROUP BY and the aggregate runs per group.

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.