Leetcode 262. Trips and Users SQL Server

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#SQL Server

本文介绍了一个SQL查询案例，用于计算由未被禁止的用户在2013年10月1日至10月3日期间发起的行程请求的取消率。通过对Trips和Users表的联接操作，筛选出符合条件的请求，并计算每日的取消率。

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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 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        |
+------------+-------------------+

drop table Trips
drop table Users
Create Table Trips(Id int,Client_Id int, Driver_Id int, City_Id int, Status varchar(50), Request_at varchar(50));
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('1', '1', '10', '1', 'completed','2013-10-01');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('2', '2', '11', '1','cancelled_by_driver', '2013-10-01');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('3', '3', '12', '6', 'completed','2013-10-01');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('4', '4', '13', '6','cancelled_by_client', '2013-10-01');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('5', '1', '10', '1', 'completed','2013-10-02');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('6', '2', '11', '6', 'completed','2013-10-02');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('7', '3', '12', '6', 'completed','2013-10-02');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('8', '2', '12', '12', 'completed','2013-10-03');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('9', '3', '10', '12', 'completed','2013-10-03');
insert into Trips (Id, Client_Id, Driver_Id,City_Id, Status, Request_at) values ('10', '4', '13', '12','cancelled_by_driver', '2013-10-03');

Create table Users (Users_Id int,Banned varchar(50), Role varchar(50))

insert into Users (Users_Id, Banned, Role)values ('1', 'No', 'client');
insert into Users (Users_Id, Banned, Role)values ('2', 'Yes', 'client');
insert into Users (Users_Id, Banned, Role)values ('3', 'No', 'client');
insert into Users (Users_Id, Banned, Role)values ('4', 'No', 'client');
insert into Users (Users_Id, Banned, Role)values ('10', 'No', 'driver');
insert into Users (Users_Id, Banned, Role)values ('11', 'No', 'driver');
insert into Users (Users_Id, Banned, Role)values ('12', 'No', 'driver');
insert into Users (Users_Id, Banned, Role)values ('13', 'No', 'driver');

with cte as(
select t.Request_at as [Day],count(Status) as request
from Trips t join Users u
on t.Client_Id=u.Users_Id
where Request_at between '2013-10-01' and '2013-10-03'
and u.Banned='No'
group by t.Request_at),
cte2 as (
select t.Request_at as [Day],count(Status) as cancel
from Trips t right join Users u
on t.Client_Id=u.Users_Id
where Request_at between '2013-10-01' and '2013-10-03'
and u.Banned='No'
and t.Status in ('cancelled_by_driver','cancelled_by_client')
group by t.Request_at
) select c1.[Day],
round(cast(isnull(c2.cancel,0) as float)/cast(c1.request as float),2) as [Cancellation Rate]
from cte c1 left join cte2 c2
on c1.[Day]=c2.[Day]