task Sessions & sequences · hard
Sessionize retries and exact boundaries
Assign each canonical website event a session_no for its shopper. Return shopper_id, event_id and session_no, in shopper and event order.
what to return
- Columns
shopper_idevent_idsession_noin this order- Rows
- 36 rows · in the order asked
- Watch for
- Deduplicate globally by event_key, keeping the smallest id; a retry may have a conflicting payload.
- Use (occurred_at, id) as the total event order; equal timestamps follow id order. All times are UTC.
- A shopper starts a session at the first canonical event or after a gap strictly greater than 30 minutes from their previous canonical event. Exactly 30 minutes stays in the same session; midnight alone does not split it.
- Session numbers start at 1 per shopper and include every event type, including heartbeat and purchase-only sessions.
- Order by shopper_id, occurred_at, id; occurred_at is only a sort key, not an output column.
- Skill
- Build stable session identifiers from canonical events and inactivity gaps. Refresher: Sessionize an event stream →
expected result
Your query should return exactly these columns and values. Run it and compare.
expected result36 rows · in this order
| shopper_id | event_id | session_no |
|---|---|---|
| 1 | 1 | 1 |
| 1 | 2 | 1 |
| 1 | 3 | 1 |
first 3 of 36 rows
data you can query
Sample rows from each table. Each column shows its type underneath; → marks a link to another table.
market_web_events7 columns · 38 rows
| idinteger · key | event_keytext | shopper_idinteger → shoppers | occurred_attext | event_typetext | channeltext | cart_idtext |
|---|---|---|---|---|---|---|
| 1 | a1 | 1 | 2025-05-01 09:00:00 | view | A | |
| 2 | a2 | 1 | 2025-05-01 09:05:00 | checkout | direct | A |
| 3 | a3 | 1 | 2025-05-01 09:10:00 | purchase | direct | A |
| 4 | a3 | 1 | 2025-05-01 09:10:00 | purchase | direct | A |
| 5 | b1 | 1 | 2025-05-01 10:00:00 | view | search | B |
showing 5 of 38 rows
solution.sql
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