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51 lines (50 loc) · 2.76 KB
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--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 clients between Oct 1, 2013 and Oct 3, 2013.
--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 |
--+------------+-------------------+
--Credits:
--Special thanks to @cak1erlizhou for contributing this question, writing the problem description and adding part of the test cases.
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
inner 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