1934. Confirmation Rate
Description
Table: Signups
+----------------+----------+ | Column Name | Type | +----------------+----------+ | user_id | int | | time_stamp | datetime | +----------------+----------+ user_id is the column of unique values for this table. Each row contains information about the signup time for the user with ID user_id.
Table: Confirmations
+----------------+----------+ | Column Name | Type | +----------------+----------+ | user_id | int | | time_stamp | datetime | | action | ENUM | +----------------+----------+ (user_id, time_stamp) is the primary key (combination of columns with unique values) for this table. user_id is a foreign key (reference column) to the Signups table. action is an ENUM (category) of the type ('confirmed', 'timeout') Each row of this table indicates that the user with ID user_id requested a confirmation message at time_stamp and that confirmation message was either confirmed ('confirmed') or expired without confirming ('timeout').
The confirmation rate of a user is the number of 'confirmed'
messages divided by the total number of requested confirmation messages. The confirmation rate of a user that did not request any confirmation messages is 0
. Round the confirmation rate to two decimal places.
Write a solution to find the confirmation rate of each user.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Signups table: +---------+---------------------+ | user_id | time_stamp | +---------+---------------------+ | 3 | 2020-03-21 10:16:13 | | 7 | 2020-01-04 13:57:59 | | 2 | 2020-07-29 23:09:44 | | 6 | 2020-12-09 10:39:37 | +---------+---------------------+ Confirmations table: +---------+---------------------+-----------+ | user_id | time_stamp | action | +---------+---------------------+-----------+ | 3 | 2021-01-06 03:30:46 | timeout | | 3 | 2021-07-14 14:00:00 | timeout | | 7 | 2021-06-12 11:57:29 | confirmed | | 7 | 2021-06-13 12:58:28 | confirmed | | 7 | 2021-06-14 13:59:27 | confirmed | | 2 | 2021-01-22 00:00:00 | confirmed | | 2 | 2021-02-28 23:59:59 | timeout | +---------+---------------------+-----------+ Output: +---------+-------------------+ | user_id | confirmation_rate | +---------+-------------------+ | 6 | 0.00 | | 3 | 0.00 | | 7 | 1.00 | | 2 | 0.50 | +---------+-------------------+ Explanation: User 6 did not request any confirmation messages. The confirmation rate is 0. User 3 made 2 requests and both timed out. The confirmation rate is 0. User 7 made 3 requests and all were confirmed. The confirmation rate is 1. User 2 made 2 requests where one was confirmed and the other timed out. The confirmation rate is 1 / 2 = 0.5.
Solutions
Solution 1: Left Join + Grouping
We can use a left join to join the Signups
table and the Confirmations
table on user_id
, and then use GROUP BY
to group by user_id
for aggregation.
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