mysql 两个表合并查询 字段交换

Posted 2021-02-15 zhgmen

 

 

项目七: 各部门工资最高的员工（难度：中等）

创建 Employee 表，包含所有员工信息，每个员工有其对应的 Id, salary 和 department Id。

 

create table Employee(

Id int auto_increment primary key,

Name varchar not null,

Salary int not null,

DepartmentId int not null

);

insert into Emploee (Name,Salary,DepartmentId) values(Joe,70000,1);

insert into Emploee(Name,Salary,DepartmentId) values(Henry,80000,2);

insert into Emploee(Name,Salary,DepartmentId) values(Sam,60000,2);

insert into Emploee(Name,Salary,DepartmentId) values(Max,90000,1);

+----+-------+--------+--------------+

| Id | Name | Salary | DepartmentId |

+----+-------+--------+--------------+

| 1 | Joe | 70000 | 1 |

| 2 | Henry | 80000 | 2 |

| 3 | Sam | 60000 | 2 |

| 4 | Max | 90000 | 1 |

+----+-------+--------+--------------+

创建 Department 表，包含公司所有部门的信息。

create table Department(

Id int primary key auto_increment,

Name varchar not null

);

insert into Department(Name) values (IT);

insert into Department(Name) values (Sales);

+----+----------+

| Id | Name |

+----+----------+

| 1 | IT |

| 2 | Sales |

+----+----------+

编写一个 SQL 查询，找出每个部门工资最高的员工。例如，根据上述给定的表格，Max 在 IT 部门有最高工资，Henry 在 Sales 部门有最高工资。

select Department.Name as Department,Emploe.Name as Emploee,max(Emploee.Salary) as Salary from Emploee,Department where Employee.Id=Department.Id group by Emploee.DepartmentId;

 

+------------+----------+--------+

| Department | Employee | Salary |

+------------+----------+--------+

| IT | Max | 90000 |

| Sales | Henry | 80000 |

+------------+----------+--------+

 

项目八: 换座位（难度：中等）

小是一所中学的信息科技老师，她有一张 seat 座位表，平时用来储存学生名字和与他们相对应的座位 id。

其中纵列的 id 是连续递增的

小美想改变相邻俩学生的座位。

你能不能帮她写一个 SQL query 来输出小美想要的结果呢？

 请创建如下所示 seat 表：

示例：

create table seat(

id int primary key auto_increment,

student varchar not null

);

insert into seat(student) values(Abbot);

insert into seat(student) values(Doris);

insert into seat(student) values(Emerson);

insert into seat(student) values(Green);

insert into seat(student) values(Jeames);

+---------+---------+

| id | student |

+---------+---------+

| 1 | Abbot |

| 2 | Doris |

| 3 | Emerson |

| 4 | Green |

| 5 | Jeames |

+---------+---------+

假如数据输入的是上表，则输出结果如下：

 

UPDATE seat s1
JOIN seat s2
ON (s1.id % 2 = 1 AND s2.id = s1.id+1)
SET s1.student=s2.student,s2.student=s1.student

WHERE s1.id+1 <> null;

 

+---------+---------+

| id | student |

+---------+---------+

| 1 | Doris |

| 2 | Abbot |

| 3 | Green |

| 4 | Emerson |

| 5 | Jeames |

+---------+---------+

注意：

如果学生人数是奇数，则不需要改变最后一个同学的座位

 

项目九: 分数排名（难度：中等）

编写一个 SQL 查询来实现分数排名。如果两个分数相同，则两个分数排名（Rank）相同。请注意，平分后的下一个名次应该是下一个连续的整数值。换句话说，名次之间不应该有“间隔”。

创建以下 score 表：

+----+-------+

| Id | Score |

+----+-------+

| 1 | 3.50 |

| 2 | 3.65 |

| 3 | 4.00 |

| 4 | 3.85 |

| 5 | 4.00 |

| 6 | 3.65 |

 

+----+-------+

create table score(

Id int auto_increment primary key,

Score float not null

);

例如，根据上述给定的 scores 表，你的查询应该返回（按分数从高到低排列）：

+-------+------+

| Score | Rank |

+-------+------+

| 4.00 | 1 |

| 4.00 | 1 |

| 3.85 | 2 |

| 3.65 | 3 |

| 3.65 | 3 |

| 3.50 | 4 |

+-------+------+

 

set @curRank:=0;

select Score,@curRank:[email protected]+1 as Rank from scores order by Score desc;

 

项目十：行程和用户（难度：困难）

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’)。

+----+-----------+-----------+---------+--------------------+----------+

| 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。

+----------+--------+--------+

| 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 |

+----------+--------+--------+

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。

+------------+-------------------+

| Day | Cancellation Rate |

+------------+-------------------+

| 2013-10-01 | 0.33 |

| 2013-10-02 | 0.00 |

| 2013-10-03 | 0.50 |

+------------+-------------------+