N012-M2 Tier 1 · Foundations · medium ecommerce · Brightlane

Return the ID, name, and country of every customer in those three territories

Part of BETWEEN, IN, and LIKE in SQL

The problem

Brightlane's North American and UK sales team is building a regional account list for their quarterly review. The team covers customers in the United States (country = 'US'), Canada (country = 'CA'), and the United Kingdom (country = 'GB').

Write a query to return the ID, name, and country of every customer in those three territories.

Assumptions:

  • The customers table contains every customer Brightlane has on file.
  • Country codes are stored as two-letter ISO codes.

Output:

  • One row per qualifying customer, with columns id, name, and country.
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,
  name,
  country
FROM
  customers
WHERE
  country IN ('US', 'CA', 'GB')

The shape

IN ('US', 'CA', 'GB') is a three-value membership test — the regional account list is defined by the three ISO country codes the team covers, and the IN list mirrors that definition exactly.

Clause by clause

  • SELECT id, name, country returns the three columns the quarterly review needs: the customer identifier, the customer's name, and the country code so the team can sort the list by territory.
  • FROM customers reads the customer table.
  • WHERE country IN ('US', 'CA', 'GB') keeps only the rows whose country matches one of the three codes in the parentheses. Customers in any other country — 'AU', 'DE', anything else — are dropped before the result is shaped.

You practiced extending IN to a longer membership list. The shape scales without ceremony — any number of values fits inside the parentheses, and the readability gain over chained ORs grows with the list length.

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