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The Complete Journeys

hardSQLGroupByHAVING

Kindled calls it a complete journey when a shopper has done all four of the tracked things — registered, looked at a product, filled a basket and paid. Those people are the case studies the growth team wants to interview, so the list has to be exactly right: somebody who did three of the four does not qualify, and somebody who filled two baskets has still only done three different things. The interview tool takes id numbers.

events — one row per tracked action. user_id points at a row in users. event_type is one of signup, view_product, add_to_cart and purchase. event_date is the day the action happened. Nothing guarantees a person produces all four kinds, or any particular number of rows.

id user_id event_type event_date
1 1 signup 2023-05-01
2 1 view_product 2023-05-01
3 1 add_to_cart 2023-05-02
4 1 purchase 2023-05-03
5 2 signup 2023-05-02
6 2 view_product 2023-05-02
7 3 signup 2023-05-03
8 3 view_product 2023-05-03
9 3 add_to_cart 2023-05-04
10 4 signup 2023-05-04
11 4 view_product 2023-05-05
12 4 add_to_cart 2023-05-05
13 4 purchase 2023-05-06
14 5 signup 2023-05-05
15 6 signup 2023-05-06
16 6 view_product 2023-05-06
17 7 signup 2023-05-07
18 7 view_product 2023-05-07
19 7 add_to_cart 2023-05-08
20 7 purchase 2023-05-09
21 8 signup 2023-05-08

The table already exists in the database — there is nothing to create or load.

Task: Write a query that returns a single column, user_id, listing everybody who has recorded all four kinds of action. Repeats of the same kind do not help — it is four different kinds that are required. Ascending user_id order.

Example output — shape only, on invented people. If two accounts had been through all four kinds, you would get:

user_id
24
31

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