1934. Confirmation Rate


Posted by ikl258794613 on 2024-02-22

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.

解答:

SELECT s.user_id , ROUND(AVG(IF(c.action = 'confirmed' ,1 ,0)),2) AS confirmation_rate
FROM Signups s
LEFT JOIN  Confirmations c 
ON s.user_id = c.user_id
GROUP BY s.user_id

知識點:
1.IF(bollen表達,true時的值,false時的值)
2.GROUP BY用c.user_id會沒有6的資料 因為c沒有user_id = 6


#SQL







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