1.0.0

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）

链接：https://leetcode-cn.com/problems/game-play-analysis-iii

著作权归领扣网络所有。商业转载请联系官方授权，非商业转载请注明出处。

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 1

Table 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");
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