LeetCode—行程和用户
SQL架构:
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');
查看表记录:
Trips 表中存所有出租车的行程信息。每段行程有唯一键 Id,Client_Id 和 Driver_Id 是 Users 表中 Users_Id 的外键。Status 是枚举类型,枚举成员为 (‘completed’, ‘cancelled_by_driver’, ‘cancelled_by_client’)。
mysql> select * from trips;
+------+-----------+-----------+---------+---------------------+------------+
| 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 |
+------+-----------+-----------+---------+---------------------+------------+
10 rows in set (0.01 sec)
Users 表存所有用户。每个用户有唯一键 Users_Id。Banned 表示这个用户是否被禁止,Role 则是一个表示(‘client’, ‘driver’, ‘partner’)的枚举类型。
mysql> select * from users;
+----------+--------+--------+
| 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 |
+----------+--------+--------+
8 rows in set (0.00 sec)
要求:
写一段 SQL 语句查出 2013年10月1日 至 2013年10月3日 期间非禁止用户的取消率。基于上表,你的 SQL 语句应返回如下结果,取消率(Cancellation Rate)保留两位小数。
【LeetCode—行程和用户】解法:
mysql> select t.Request_at as day,
-> round(sum(case when t.status='completed' then 0 else 1 end)/count(*),2) as 'Cancellation Rate'
-> from
-> Trips t inner join users u1 on t.Client_Id=u1.Users_Id and u1.Banned='No'
-> where t.Request_at between '2013-10-01' and '2013-10-03'
-> group by t.Request_at;
+------------+-------------------+
| day| Cancellation Rate |
+------------+-------------------+
| 2013-10-01 |0.33 |
| 2013-10-02 |0.00 |
| 2013-10-03 |0.50 |
+------------+-------------------+
3 rows in set (0.00 sec)
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