MediumSQL challenge #171JOIN

Orders with Full User Info

Retrieve orders with all user details.

The challenge runs on the SQLabHub practice database (SQLite) and uses the users and orders tables. You can solve it in the browser, with nothing to install.

Solve This SQL Challenge

The task

Retrieve orders with all user details.

A correct answer returns 200 rows with 20 columns: id, user_id, total, discount, item_count, status, order_date, shipped_date, shipping_city, shipping_country, id, first_name, last_name, email, phone, city, country, created_at, status, is_premium.

Tables used in this challenge

`users` 150 rows

id INTEGER (PK) · first_name TEXT · last_name TEXT · email TEXT · phone TEXT · city TEXT · country TEXT · created_at TEXT · status TEXT · is_premium INTEGER

First 3 rows of the users table
id	first_name	last_name	email	phone	city	country	created_at	status
1	Jennifer	Torres	jennifer.torres57@icloud.com	+1-263-376-2371	Houston	Canada	2024-04-13	active
2	Donna	Adams	donna.adams52@gmail.com	+1-753-780-6670	Fort Worth	Canada	2020-09-15	inactive
3	Kenneth	Young	kenneth.young94@proton.me	+1-440-743-9503	Austin	USA	2023-09-05	active

`orders` 200 rows

id INTEGER (PK) · user_id INTEGER · total REAL · discount REAL · item_count INTEGER · status TEXT · order_date TEXT · shipped_date TEXT · shipping_city TEXT · shipping_country TEXT

First 3 rows of the orders table
id	user_id	total	discount	item_count	status	order_date	shipped_date	shipping_city	shipping_country
1	43	2638.11	0.25	3	cancelled	2024-04-24	NULL	Los Angeles	USA
2	8	2947	0.19	5	delivered	2024-03-15	2023-04-09	Chicago	USA
3	136	683.24	0.08	2	delivered	2023-02-15	2023-07-10	Los Angeles	USA

The first rows of each table are shown. See how all the tables relate on the database schema page.

Expected output

Expected output of the challenge
id	user_id	total	discount	item_count	status	order_date	shipped_date	shipping_city	shipping_country	id	first_name	last_name	email	phone	city	country	created_at	status	is_premium
1	43	2638.11	0.25	3	cancelled	2024-04-24	NULL	Los Angeles	USA	43	Amanda	Mitchell	amanda.mitchell48@gmail.com	+1-711-882-6457	Fort Worth	India	2023-08-08	inactive	0
2	8	2947	0.19	5	delivered	2024-03-15	2023-04-09	Chicago	USA	8	Timothy	Campbell	timothy.campbell96@proton.me	+1-571-133-1838	Columbus	USA	2023-05-04	inactive	0
3	136	683.24	0.08	2	delivered	2023-02-15	2023-07-10	Los Angeles	USA	136	Sarah	Hernandez	sarah.hernandez69@proton.me	+1-681-582-4862	Chicago	USA	2022-10-06	inactive	0
4	115	3920.44	0.08	4	processing	2022-01-10	NULL	San Jose	USA	115	Linda	Allen	linda.allen39@yahoo.com	+1-798-349-9212	San Antonio	USA	2021-02-28	active	1
5	140	1120.99	0.13	4	delivered	2023-06-16	2023-12-21	Denver	USA	140	Robert	Lewis	robert.lewis1@proton.me	+1-688-786-4680	Phoenix	USA	2021-09-04	inactive	1

First 5 of 200 rows. This is the output of the model solution on the practice database. The task does not fix a sort order, so your rows may come back in a different order.

What you practise

Combining rows from two tables on a matching key with an inner join

Hint and approach

Try the challenge first. Open these only when you need them.

Show the hint

JOIN users

Show the step-by-step approach

How the model solution is built, in the order the database evaluates it:

Read from the orders table.
Join users on orders.user_id = users.id.

Model solution

Checking your session…

What to watch for

INNER JOIN. An inner join drops rows that have no partner on the other side, and it repeats a row once for every match, which inflates SUM and COUNT.