编写一个 SQL 查询,获取 Employee 表中第 n 高的薪水(Salary)算法
+----+--------+
| Id | Salary |
+----+--------+
| 1 | 100 |
| 2 | 200 |
| 3 | 300 |
+----+--------+
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例如上述 Employee 表,n = 2 时,应返回第二高的薪水 200。若是不存在第 n 高的薪水,那么查询应返回 null。bash
+------------------------+
| getNthHighestSalary(2) |
+------------------------+
| 200 |
+------------------------+
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分组去重加分页查询语法函数
CREATE FUNCTION getNthHighestSalary(N INT) RETURNS INT
BEGIN
SET N = N - 1;
RETURN (
select Salary from Employee GROUP BY Salary ORDER BY Salary desc LIMIT N,1
);
END
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编写一个 SQL 查询来实现分数排名。若是两个分数相同,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,名次之间不该该有“间隔”。ui
+----+-------+
| Id | Score |
+----+-------+
| 1 | 3.50 |
| 2 | 3.65 |
| 3 | 4.00 |
| 4 | 3.85 |
| 5 | 4.00 |
| 6 | 3.65 |
+----+-------+
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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):spa
+-------+------+
| Score | Rank |
+-------+------+
| 4.00 | 1 |
| 4.00 | 1 |
| 3.85 | 2 |
| 3.65 | 3 |
| 3.65 | 3 |
| 3.50 | 4 |
+-------+------+
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考虑两件事:1按分数降序排列 2 分数相同属同一级code
select Score,(SELECT COUNT(DISTINCT score) from Scores WHERE score >= s.score) as Rank from scores s ORDER BY Score DESC
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Employee 表包含全部员工,他们的经理也属于员工。每一个员工都有一个 Id,此外还有一列对应员工的经理的 Id。排序
+----+-------+--------+-----------+
| Id | Name | Salary | ManagerId |
+----+-------+--------+-----------+
| 1 | Joe | 70000 | 3 |
| 2 | Henry | 80000 | 4 |
| 3 | Sam | 60000 | NULL |
| 4 | Max | 90000 | NULL |
+----+-------+--------+-----------+
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给定 Employee 表,编写一个 SQL 查询,该查询能够获取收入超过他们经理的员工的姓名。在上面的表格中,Joe 是惟一一个收入超过他的经理的员工。ip
+----------+
| Employee |
+----------+
| Joe |
+----------+
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经过get
解答:经过自链接 关联表两次查询 组装出员工表每一个员工对应的经理信息 便可经过条件判断取出结果string
select e1.Name Employee from Employee e1,Employee e2 where e1.ManagerId=e2.Id
and e1.Salary>e2.Salary
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Employee 表包含全部员工信息,每一个员工有其对应的 Id, salary 和 department Id。
+----+-------+--------+--------------+
| Id | Name | Salary | DepartmentId |
+----+-------+--------+--------------+
| 1 | Joe | 70000 | 1 |
| 2 | Henry | 80000 | 2 |
| 3 | Sam | 60000 | 2 |
| 4 | Max | 90000 | 1 |
+----+-------+--------+--------------+
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Department 表包含公司全部部门的信息。
+----+----------+
| Id | Name |
+----+----------+
| 1 | IT |
| 2 | Sales |
+----+----------+
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编写一个 SQL 查询,找出每一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。
解答 内链接匹配查询出全部员工对应的部门名称 而后经过子查询条件匹配
select d.Name as Department,e.Name as Employee, e.Salary
from Department d join Employee e on d.Id=e.DepartmentId
where e.Salary >=(select max(Salary) from Employee where DepartmentId=d.Id)
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Employee 表包含全部员工信息,每一个员工有其对应的 Id, salary 和 department Id 。
+----+-------+--------+--------------+
| Id | Name | Salary | DepartmentId |
+----+-------+--------+--------------+
| 1 | Joe | 70000 | 1 |
| 2 | Henry | 80000 | 2 |
| 3 | Sam | 60000 | 2 |
| 4 | Max | 90000 | 1 |
| 5 | Janet | 69000 | 1 |
| 6 | Randy | 85000 | 1 |
+----+-------+--------+--------------+
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Department 表包含公司全部部门的信息。
+----+----------+
| Id | Name |
+----+----------+
| 1 | IT |
| 2 | Sales |
+----+----------+
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SELECT Department.Name AS Department, e1.Name AS Employee, e1.Salary AS Salary
FROM Employee e1
JOIN Department
ON e1.DepartmentId = Department.Id
WHERE 3 > (
SELECT COUNT(DISTINCT e2.Salary)
FROM Employee e2
WHERE e2.Salary > e1.Salary AND e1.DepartmentId = e2.DepartmentId
)
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编写一个 SQL 查询,来删除 Person 表中全部重复的电子邮箱,重复的邮箱里只保留 Id 最小 的那个。
+----+------------------+
| Id | Email |
+----+------------------+
| 1 | john@example.com |
| 2 | bob@example.com |
| 3 | john@example.com |
+----+------------------+
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Id 是这个表的主键。
咱们可使用如下代码,将此表与它自身在电子邮箱列中链接起来。
SELECT p1.* FROM Person p1,Person p2 WHERE p1.Email = p2.Email
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而后咱们须要找到其余记录中具备相同电子邮件地址的更大 ID。因此咱们能够像这样给 WHERE 子句添加一个新的条件。
SELECT p1.* FROM Person p1,Person p2 WHERE p1.Email = p2.Email AND p1.Id > p2.Id
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由于咱们已经获得了要删除的记录,因此咱们最终能够将该语句更改成 DELETE。
DELETE p1 FROM Person p1, Person p2 WHERE p1.Email = p2.Email AND p1.Id > p2.Id
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给定一个 Weather 表,编写一个 SQL 查询,来查找与以前(昨天的)日期相比温度更高的全部日期的 Id。
+---------+------------------+------------------+
| Id(INT) | RecordDate(DATE) | Temperature(INT) |
+---------+------------------+------------------+
| 1 | 2015-01-01 | 10 |
| 2 | 2015-01-02 | 25 |
| 3 | 2015-01-03 | 20 |
| 4 | 2015-01-04 | 30 |
+---------+------------------+------------------+
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例如,根据上述给定的 Weather 表格,返回以下 Id:
+----+
| Id |
+----+
| 2 |
| 4 |
+----+
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select * from weather w1 join weather w2 on DATEDIFF(w1.RecordDate,w2.RecordDate)=1
id RecordDate Temperature w2.id 昨天的日期 w2.Temperature(昨天的温度)
2 2019-01-02 25 1 2019-01-01 10
4 2019-01-04 30 3 2019-01-03 20
4 2019-01-04 30 3 2019-01-03 20
条件帅选今天比昨天温度高的数据 w1.Temperature>w2.Temperature
select w1.id from weather w1 join weather w2 on DATEDIFF(w1.RecordDate,w2.RecordDate)=1 where w1.Temperature>w2.Temperature
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Trips 表中存全部出租车的行程信息。每段行程有惟一键 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|
+----+-----------+-----------+---------+--------------------+----------+
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Users 表存全部用户。每一个用户有惟一键 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 |
+----------+--------+--------+
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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 语句应返回以下结果,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 |
+------------+-------------------+
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解法
#先求出非禁止用户的全部记录
select * from Trips t join Users u on t.Client_Id =u.Users_Id where u.Banned='No'
经过if函数加分组 2013年10月1日 至 2013年10月3日 期间非禁止用户的取消率
IF(expr1,expr2,expr3),若是expr1的值为true,则返回expr2的值,若是expr1的值为false,
round(x,d) ,x指要处理的数,d是指保留几位小数
select t.Request_at as Day,
round(count( IF ( t.Status !="completed", t.Status, NULL ) ) / count(t.Status),2) as `Cancellation Rate`
from Trips t join Users u on t.Client_Id =u.Users_Id
where u.Banned='No' and t.request_at between "2013-10-01" and "2013-10-03" group by t.Request_at
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+---------+---------+
| id | student |
+---------+---------+
| 1 | Abbot |
| 2 | Doris |
| 3 | Emerson |
| 4 | Green |
| 5 | Jeames |
+---------+---------+
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假如数据输入的是上表,则输出结果以下:
+---------+---------+
| id | student |
+---------+---------+
| 1 | Doris |
| 2 | Abbot |
| 3 | Green |
| 4 | Emerson |
| 5 | Jeames |
+---------+---------+
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注意:若是学生人数是奇数,则不须要改变最后一个同窗的座位。
先把简单的偶数都-1;而后对于非最大的奇数id+1;最后(即else)若是存在未变化的数则值不变
select
case #若是
when id%2=0 then id-1 # id%2为偶数 则返回 id-1
when id<(select max(id) from seat) then id+1 #若是表中最大的ID 小于当前返回的ID 则执行 id+1 也就是取最大ID
else id #若是存在未变化的数则值不变
end as id,student from seat order by id
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