N030-E1 Tier 3 · Intermediate · easy ecommerce · Brightlane

Return the count of orders in each status

Part of Common Table Expressions (CTEs) in SQL

The problem

Brightlane's operations team maintains a daily pipeline log showing how many orders sit in each stage.

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

Assumptions:

  • The orders table has one row per order with a status.
  • Each status value present in orders should appear once in the report.

Output:

  • One row per status, 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

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Solution query
WITH
  status_counts AS (
    SELECT
      status,
      COUNT(*) AS order_count
    FROM
      orders
    GROUP BY
      status
  )
SELECT
  status,
  order_count
FROM
  status_counts

The shape

A WITH layer named status_counts computes the per-status COUNT(*) once, and the main query reads from it by name. The layer is the named subquery; the main query treats the name like a table.

Clause by clause

  • The WITH clause defines the named layer:
WITH status_counts AS (
  SELECT status, COUNT(*) AS order_count
  FROM orders
  GROUP BY status
)

Inside the parentheses, SELECT status, COUNT(*) AS order_count FROM orders GROUP BY status produces one row per distinct status with the count attached. That whole result set is what the name status_counts refers to.

  • SELECT status, order_count FROM status_counts is the main query. It reads from the named layer by name and returns its two columns straight through. The row for 'delivered' carries order_count = 161; 'shipped' carries 17; 'cancelled' and 'pending' each carry 11.

Why this and not a derived table in FROM

A derived table would compute the same per-status counts inside the FROM clause of the main query, no WITH involved. Both shapes return the same rows. The WITH version moves the aggregation above the main query and gives it a name, which means the main query reads top to bottom in the order the work happens. A derived table buries the aggregation inside the FROM clause of the same statement that consumes it. For a single-use named layer like this, the difference is organizational, not structural; WITH is the more readable spelling.

You practiced lifting a per-category breakdown into a named WITH layer that the main query reads from like a table.

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