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Formatted question description: https://leetcode.ca/all/262.html
262 Trips and Users
The Trips table holds all taxi trips.
Each trip has a unique Id, while Client_Id and Driver_Id are both foreign keys to the Users_Id at the Users table.
Status is an ENUM type of (‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’).
+----+-----------+-----------+---------+--------------------+----------+
| Id | Client_Id | Driver_Id | City_Id | Status |Request_at|
+----+-----------+-----------+---------+--------------------+----------+
| 1 | 1 | 10 | 1 | completed |2013-10-01|
| 2 | 2 | 11 | 1 | cancelled_by_driver|2013-10-01|
| 3 | 3 | 12 | 6 | completed |2013-10-01|
| 4 | 4 | 13 | 6 | cancelled_by_client|2013-10-01|
| 5 | 1 | 10 | 1 | completed |2013-10-02|
| 6 | 2 | 11 | 6 | completed |2013-10-02|
| 7 | 3 | 12 | 6 | completed |2013-10-02|
| 8 | 2 | 12 | 12 | completed |2013-10-03|
| 9 | 3 | 10 | 12 | completed |2013-10-03|
| 10 | 4 | 13 | 12 | cancelled_by_driver|2013-10-03|
+----+-----------+-----------+---------+--------------------+----------+
The Users table holds all users.
Each user has an unique Users_Id, and Role is an ENUM type of (‘client’, ‘driver’, ‘partner’).
+----------+--------+--------+
| Users_Id | Banned | Role |
+----------+--------+--------+
| 1 | No | client |
| 2 | Yes | client |
| 3 | No | client |
| 4 | No | client |
| 10 | No | driver |
| 11 | No | driver |
| 12 | No | driver |
| 13 | No | driver |
+----------+--------+--------+
Write a SQL query to find the cancellation rate of requests made by unbanned users
(both client and driver must be unbanned) between Oct 1, 2013 and Oct 3, 2013.
The cancellation rate is computed by
dividing the number of canceled (by client or driver) requests made by unbanned users
by the total number of requests made by unbanned users.
For the above tables, your SQL query should return the following rows
with the cancellation rate being rounded to two decimal places.
+------------+-------------------+
| Day | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 | 0.33 |
| 2013-10-02 | 0.00 |
| 2013-10-03 | 0.50 |
+------------+-------------------+
Algorithm
Key is ROUND() function and CASE WHEN ... THEN ... ELSE.
Use cancelled% to indicate all items that start with cancelled, which includes the driver and client.
Code
SQL
SELECT
t.Request_at AS Day,
ROUND(
SUM(CASE WHEN t.Status LIKE 'cancelled%' THEN 1 ELSE 0 END) / count(*),
2) AS 'Cancellation Rate'
FROM
Trips t
JOIN Users u
ON t.Client_Id = u.Users_Id AND u.Banned = 'No'
WHERE
t.Request_at BETWEEN '2013-10-01' AND '2013-10-03'
GROUP BY t.Request_at;