Users Without Sessions
A medium SQL interview practice problem on DataDriven. Write the query and run it against a real database, with instant feedback.
- Domain
- SQL
- Difficulty
- medium
- Seniority
- L3
- Asked in
- Amazon
Problem
Find users who have never started a session. Show the user ID, username, and email for each.
Account created. Never logged in.
Tables
users
Columns: user_id INTEGER, username TEXT, email TEXT, signup_date TEXT, account_status TEXT, age_bucket TEXT
| user_id | username | signup_date | account_status | age_bucket | |
|---|---|---|---|---|---|
| 100 | alice | alice@example.com | 2025-02-02 | inactive | 25-34 |
| 197 | aaron42 | aaron42@example.com | 2026-03-03 | suspended | 35-44 |
| 294 | amelia | amelia@example.com | 2024-04-04 | pending_verification | 45-54 |
| 391 | arjun | arjun@example.com | 2025-05-05 | active | 55-64 |
| 488 | ava99 | ava99@example.com | 2026-06-06 | inactive | 65+ |
| 585 | andrew_k | andrew_k@example.com | 2024-07-07 | suspended | NULL |
| 682 | anika | anika@example.com | 2025-08-08 16:34:00 | pending_verification | 18-24 |
| 779 | aiden | aiden@example.com | 2026-09-09 14:53:00 | active | 25-34 |
| 876 | aria_b | aria_b@example.com | 2024-10-10 | inactive | 35-44 |
| 973 | brian | brian@example.com | 2025-11-11 | suspended | 45-54 |
user_sessions
Columns: session_id INTEGER, user_id INTEGER, device_id INTEGER, session_start TEXT, session_duration_sec INTEGER, pages_viewed INTEGER
| session_id | user_id | device_id | session_start | session_duration_sec | pages_viewed |
|---|---|---|---|---|---|
| 7061 | 197 | 230 | 2026-02-02 01:00:00 | 53 | 3 |
| 7122 | 294 | 259 | 2026-03-03 02:00:00 | 76 | 6 |
| 7183 | 391 | 288 | 2026-04-04 03:00:00 | 99 | 9 |
| 7244 | 488 | 317 | 2026-05-05 04:00:00 | 122 | 12 |
| 7305 | 585 | 346 | 2026-06-06 05:00:00 | 145 | 15 |
| 7366 | 682 | 375 | 2026-07-07 06:00:00 | 168 | 18 |
| 7427 | 779 | 404 | 2026-08-08 07:00:00 | 191 | 21 |
| 7488 | 876 | NULL | 2026-09-09 08:00:00 | 214 | 24 |
| 7549 | 973 | 462 | 2026-01-10 09:00:00 | 237 | 27 |
| 7610 | 1070 | 491 | 2026-02-11 10:00:00 | 260 | 30 |
Expected output
| user_id | username | |
|---|---|---|
| 2040 | cynthia | cynthia@example.com |
| 2137 | colin42 | NULL |
| 2234 | cara_z | cara_z@example.com |
| 2428 | celine | celine@example.com |
| 2525 | daniel | daniel@example.com |
Worked solution and explanation
Why this problem exists in real interviews
This tests the anti-join pattern. Interviewers verify that you can find unmatched records between two tables and return specific columns from the base table.
Break down the requirements
Step 1: Left join users to sessions
LEFT JOIN user_sessions ON users.user_id = user_sessions.user_id preserves all users.
Step 2: Filter to unmatched users
WHERE user_sessions.session_id IS NULL isolates users with no session records.
Step 3: Return required columns
Select user_id, username, and email for each sessionless user.
The solution
SELECT u.user_id, u.username, u.email
FROM users u
LEFT JOIN user_sessions s ON u.user_id = s.user_id
WHERE s.session_id IS NULLCommon follow-up questions
- How would you solve this with NOT EXISTS instead? (WHERE NOT EXISTS (SELECT 1 FROM `user_sessions` WHERE `user_sessions`.user_id = `users.user_id`).)
- What if you needed to find users who had sessions but none in the last 30 days? (Combines anti-join on recent sessions with a join on historical sessions.)
- Which approach is typically faster: LEFT JOIN IS NULL or NOT EXISTS? (Performance depends on the optimizer; NOT EXISTS can short-circuit on the first match.)