Inactive Users in Date Range
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
- L4
- Asked in
- Instacart
Problem
The data quality team flagged stale records in a dimension table. Identify users who had zero sessions between June 1 and July 1, 2026, counting both users who were active outside that window and users who never had any sessions at all. Return the results as a clean alphabetical roster of usernames, A to Z.
Ghost accounts. Active signup, zero sessions.
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
| username |
|---|
| amelia |
| Alice |
| abel |
| aiden |
| andre |
Worked solution and explanation
Why this problem exists in real interviews
Finding users with zero sessions in a specific date range tests anti-join with temporal constraints. The critical detail is placing the date filter in the ON clause, not the WHERE clause.
Break down the requirements
Step 1: Left join with date range in ON
LEFT JOIN users to user_sessions, pushing the June 1 to July 1 2026 date filter into the ON clause so non-matching users are preserved.
Step 2: Filter for unmatched users
Use a half-open upper bound (< '2026-07-02') so sessions dated July 1 are included as 'between June 1 and July 1' regardless of time-of-day.
The solution
SELECT u.username
FROM users u
LEFT JOIN user_sessions us
ON u.user_id = us.user_id
AND us.session_start >= '2026-06-01'
AND us.session_start < '2026-07-02'
WHERE us.session_id IS NULL
ORDER BY u.usernameCommon follow-up questions
- Why must the date filter be in ON, not WHERE? (Tests LEFT JOIN filter placement semantics.)
- How would you find users inactive for 3 consecutive months? (Tests gap-and-island analysis.)
- How would you parameterize the date range? (Tests parameterized queries.)