N046-E3 Tier 4 · Advanced · easy analytics · Streamhub

Return one row per user with at least one session, showing the user's ID, the ID of their most recent session, when it started, and the event count. Sort the final result by `user_id` ascending

Part of DISTINCT ON in SQL

The problem

Streamhub's product team needs every user's most recent session to identify current engagement.

Write a query to return one row per user with at least one session, showing the user's ID, the ID of their most recent session, when it started, and the event count. Sort the final result by user_id ascending.

Assumptions:

  • A user's most recent session is the session with the largest started_at for that user_id.
  • Users with no sessions on record do not appear in the result.
  • The final result is sorted by user_id ascending.

Output:

  • One row per user with at least one session, with columns user_id, session_id, started_at, and event_count. Sorted by user_id.
Schema · analytics 5 tables
users
id integer
name text
email text
country text
plan text
signed_up_at timestamptz
is_active boolean
conversions
id integer
user_id integer
converted_at timestamptz
plan text
amount numeric
sessions
id integer
user_id integer
started_at timestamptz
ended_at? timestamptz
event_count integer
events
id integer
user_id integer
session_id? integer
event_type text
occurred_at timestamptz
properties? jsonb
periods
id integer
name text
start_month integer
end_month integer

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Worked solution Try it yourself first
Solution query
SELECT DISTINCT
  ON (user_id) user_id,
  id AS session_id,
  started_at,
  event_count
FROM
  sessions
ORDER BY
  user_id,
  started_at DESC

The shape

DISTINCT ON (user_id) keeps one row per user, and ORDER BY user_id, started_at DESC decides which session that row comes from — the one with the largest started_at. The result is one session row per user: their most recent one, with the session id and event count attached.

Clause by clause

  • SELECT DISTINCT ON (user_id) user_id, id AS session_id, started_at, event_count returns the four columns the engagement review needs. The DISTINCT ON (user_id) part declares the deduplication key: one row per distinct user_id. The id AS session_id alias names the session identifier column.
  • FROM sessions reads the session records. Users with no sessions never enter this row source, so they cannot appear in the result, which matches the prompt.
  • ORDER BY user_id, started_at DESC sorts the sessions so that within each user's group, the most recent session sits first. PostgreSQL walks the sorted rows and keeps the first row for each new user_id value. The leading user_id ascending also gives the final result the user-ordered shape the prompt asks for.

Why this and not ROW_NUMBER

The same result is reachable with a window function and a subquery:

SELECT user_id, session_id, started_at, event_count
FROM (
  SELECT user_id, id AS session_id, started_at, event_count,
    ROW_NUMBER() OVER (PARTITION BY user_id ORDER BY started_at DESC) AS rn
  FROM sessions
) ranked
WHERE rn = 1
ORDER BY user_id

Both return the same rows. DISTINCT ON is the idiomatic PostgreSQL shape for one-row-per-group with the top-sorted row kept. ROW_NUMBER is the portable equivalent and is the right tool when the same query needs to run on a database that doesn't support DISTINCT ON.

You practiced the latest-per-group shape with a non-customer key — same DISTINCT ON pattern, different entity column.

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