262.(Hard)行程和用户
表：Trips
+-------------+----------+
| Column Name | Type |
+-------------+----------+
| Id | int |
| Client_Id | int |
| Driver_Id | int |
| City_Id | int |
| Status | enum |
| Request_at | date |
+-------------+----------+
Id 是这张表的主键。
这张表中存所有出租车的行程信息。每段行程有唯一 Id ，其中 Client_Id 和 Driver_Id 是 Users 表中 Users_Id 的外键。
Status 是一个表示行程状态的枚举类型，枚举成员为(‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’) 。表：Users
+-------------+----------+
| Column Name | Type |
+-------------+----------+
| Users_Id | int |
| Banned | enum |
| Role | enum |
+-------------+----------+
Users_Id 是这张表的主键。
这张表中存所有用户，每个用户都有一个唯一的 Users_Id ，Role 是一个表示用户身份的枚举类型，枚举成员为 (‘client’, ‘driver’, ‘partner’) 。
Banned 是一个表示用户是否被禁止的枚举类型，枚举成员为 (‘Yes’, ‘No’) 。写一段 SQL 语句查出 "2013-10-01" 至 "2013-10-03" 期间非禁止用户（乘客和司机都必须未被禁止）的取消率。非禁止用户即 Banned 为 No 的用户，禁止用户即 Banned 为 Yes 的用户。
取消率 的计算方式如下：(被司机或乘客取消的非禁止用户生成的订单数量) / (非禁止用户生成的订单总数)。
返回结果表中的数据可以按任意顺序组织。其中取消率 Cancellation Rate 需要四舍五入保留 两位小数 。
查询结果格式如下例所示：
Trips 表：
+----+-----------+-----------+---------+---------------------+------------+
| 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 |
+----+-----------+-----------+---------+---------------------+------------+
Users 表：
+----------+--------+--------+
| 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 |
+----------+--------+--------+
Result 表：
+------------+-------------------+
| Day | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 | 0.33 |
| 2013-10-02 | 0.00 |
| 2013-10-03 | 0.50 |
+------------+-------------------+
2013-10-01：
- 共有 4 条请求，其中 2 条取消。
- 然而，Id=2 的请求是由禁止用户（User_Id=2）发出的，所以计算时应当忽略它。
- 因此，总共有 3 条非禁止请求参与计算，其中 1 条取消。
- 取消率为 (1 / 3) = 0.33
2013-10-02：
- 共有 3 条请求，其中 0 条取消。
- 然而，Id=6 的请求是由禁止用户发出的，所以计算时应当忽略它。
- 因此，总共有 2 条非禁止请求参与计算，其中 0 条取消。
- 取消率为 (0 / 2) = 0.00
2013-10-03：
- 共有 3 条请求，其中 1 条取消。
- 然而，Id=8 的请求是由禁止用户发出的，所以计算时应当忽略它。
- 因此，总共有 2 条非禁止请求参与计算，其中 1 条取消。
- 取消率为 (1 / 2) = 0.50来源：力扣（LeetCode）
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Solution
select 取消数/总订单数 where 非禁止用户
select request_at Day,
round(sum(Status!='completed')/count(1),2) `Cancellation Rate`
from Trips left join Users c on Trips.Client_id = c.Users_Id
left join Users d on Trips.Driver_id = d.Users_Id
where c.Banned='No' and d.Banned='No' and request_at BETWEEN "2013-10-01" and "2013-10-03"
group by 1Table Schema
Create table If Not Exists Trips (Id int, Client_Id int, Driver_Id int, City_Id int, Status ENUM('completed', 'cancelled_by_driver', 'cancelled_by_client'), Request_at varchar(50));
Create table If Not Exists Users (Users_Id int, Banned varchar(50), Role ENUM('client', 'driver', 'partner'));
Truncate table Trips;
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');
Truncate table Users;
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');
--case
Truncate table Trips;
insert into Trips (Id, Client_Id, Driver_Id, City_Id, Status, Request_at) values ("1", "1", "10", "1", "cancelled_by_client", "2013-10-04");
Truncate table Users;
insert into Users (Users_Id, Banned, Role) values ("1", "No", "client");
insert into Users (Users_Id, Banned, Role) values ("10", "No", "driver");Last updated
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