N043-E3 Tier 4 · Advanced · easy analytics · Streamhub

Return every session's ID, user ID, event count, and the event count from that same user's first session chronologically

Part of FIRST_VALUE, LAST_VALUE, NTH_VALUE in SQL

The problem

Streamhub's product team wants every session compared against that user's very first session.

Write a query to return every session's ID, user ID, event count, and the event count from that same user's first session chronologically.

Assumptions:

  • The sessions table has one row per session with an id, a user_id, an event_count, and a started_at timestamp.
  • A user's first session is the session with the smallest started_at for that user_id. The same first-session event count appears on every row sharing a user_id.
  • The final result is sorted by user_id ascending, then by started_at ascending.

Output:

  • One row per session, with columns id, user_id, event_count, and first_session_events. Sorted by user_id, then started_at.
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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Solution query
SELECT
  id,
  user_id,
  event_count,
  FIRST_VALUE(event_count) OVER (
    PARTITION BY
      user_id
    ORDER BY
      started_at
  ) AS first_session_events
FROM
  sessions
ORDER BY
  user_id,
  started_at

The shape

The "anchor from history" pattern: every record carries the partition's earliest value alongside its own. FIRST_VALUE(event_count) looks up the value at position 1 of each user's chronologically-ordered sessions and attaches that single number to every row in the user's window. The analyst can now read each session's event count and the user's first-session event count side by side, on the same row.

Clause by clause

  • SELECT id, user_id, event_count, FIRST_VALUE(event_count) OVER (PARTITION BY user_id ORDER BY started_at) AS first_session_events returns each session's identifying columns plus the user's first-session event count. PARTITION BY user_id carves the table into one window per user; ORDER BY started_at defines the chronological order inside that window; FIRST_VALUE pulls back the event count at position 1.
  • FROM sessions reads every session.
  • ORDER BY user_id, started_at sorts the printed result chronologically within each user so the partition reads top to bottom in time order.

The trap

The default frame of a window function with ORDER BY is RANGE BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW. That default does not bite FIRST_VALUE, because position 1 of the partition is in every running frame from the very first row onward. FIRST_VALUE returns the same value on every row whether the frame is explicit or default. LAST_VALUE and NTH_VALUE behave differently and need an explicit full-partition frame; FIRST_VALUE does not.

You practiced FIRST_VALUE for an anchor-from-history pattern — every record carries the partition's earliest value alongside its own.

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