N051-M3 Tier 4 · Advanced · medium analytics · Streamhub

Return every date from `'2024-01-01'` through `'2024-01-07'` alongside the number of events recorded that day. Days with no events should appear with a count of `0`

Part of generate_series() for Sequences and Date Spines in SQL

The problem

Streamhub's product team monitors daily event volume across the platform.

Write a query to return every date from '2024-01-01' through '2024-01-07' alongside the number of events recorded that day. Days with no events should appear with a count of 0.

Assumptions:

  • The events table has one row per event with an id and an occurred_at timestamp.
  • The seven dates form a contiguous calendar sequence; every date in the range must appear in the result.
  • For each date, the event count is the number of events whose occurred_at::date equals that date. Dates with no events show a count of 0.

Output:

  • One row per date in the seven-day range, with columns day and event_count.
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
WITH
  spine AS (
    SELECT
      GENERATE_SERIES('2024-01-01'::date, '2024-01-07'::date, INTERVAL '1 day')::date AS DAY
  )
SELECT
  s.day,
  COUNT(e.id) AS event_count
FROM
  spine s
  LEFT JOIN events e ON e.occurred_at::date = s.day
GROUP BY
  s.day

The shape

The spine CTE generates the seven-day window, and the LEFT JOIN against events keeps every generated day in the result whether or not events matched. COUNT(e.id) ignores the NULL produced for unmatched days, so quiet days surface with a count of 0 without extra handling.

Clause by clause

  • WITH spine AS (SELECT generate_series('2024-01-01'::date, '2024-01-07'::date, interval '1 day')::date AS day) builds the date spine. Each generated timestamp is cast back to date so the join against e.occurred_at::date lines up on type.
  • SELECT s.day, COUNT(e.id) AS event_count returns each date and its event count. COUNT(e.id) counts non-NULL values only; unmatched spine rows have NULL in e.id and contribute 0 to the count.
  • FROM spine s LEFT JOIN events e ON e.occurred_at::date = s.day pairs each generated day with any events recorded that day. The LEFT JOIN keeps every spine row, including the ones with no matching event.
  • GROUP BY s.day collapses multiple events per day into a single row per date.

Why this and not a query directly against events

SELECT occurred_at::date AS day, COUNT(*) FROM events GROUP BY day looks like the same report, but it only produces rows for days that actually have events. Days with zero events disappear entirely. The spine is what guarantees every date in the window appears, even the empty ones. Without it, the product dashboard would silently skip quiet days.

You practiced the same zero-fill spine pattern over an event-stream table — same shape as the orders version, applied to a different schema's fact table.

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