【2020-02-25】leetcode|【2020-02-25】leetcode sql

177、第二高薪水
编写一个 SQL 查询,获取 Employee 表中第二高的薪水(Salary) 。
+----+--------+
| Id | Salary |
+----+--------+
| 1 | 100 |
| 2 | 200 |
| 3 | 300 |
+----+--------+
例如上述 Employee 表,SQL查询应该返回 200 作为第二高的薪水。如果不存在第二高的薪水,那么查询应返回 null。
+---------------------+
| SecondHighestSalary |
+---------------------+
| 200 |
+---------------------+

# Write your MySQL query statement below SELECT (SELECT DISTINCT Salary FROM Employee ORDER BY Salary DESC LIMIT 1 OFFSET 1) AS SecondHighestSalary

177、第N高薪水
编写一个 SQL 查询,获取 Employee 表中第 n 高的薪水(Salary)。
+----+--------+
| Id | Salary |
+----+--------+
| 1 | 100 |
| 2 | 200 |
| 3 | 300 |
+----+--------+
例如上述 Employee 表,n = 2 时,应返回第二高的薪水 200。如果不存在第 n 高的薪水,那么查询应返回 null。
+------------------------+
| getNthHighestSalary(2) |
+------------------------+
| 200 |
+------------------------+
CREATE FUNCTION getNthHighestSalary(N INT) RETURNS INT BEGIN set n=N-1; RETURN ( # Write your MySQL query statement below. select distinct salary from Employee order by salary desc limit n,1); END

178、分数排名
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”。
+----+-------+
| Id | Score |
+----+-------+
| 1 | 3.50 |
| 2 | 3.65 |
| 3 | 4.00 |
| 4 | 3.85 |
| 5 | 4.00 |
| 6 | 3.65 |
+----+-------+
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 |
+-------+------+
在mysql 实现Rank高级排名函数https://www.cnblogs.com/caicaizi/p/9803013.html
要在mysql中声明一个变量,你必须在变量名之前使用@符号。FROM子句中的(@curRank := 0)部分允许我们进行变量初始化,而不需要单独的SET命令。也可以使用SET。
#在Score不为0的情况下,@pre := Score为真, # Write your MySQL query statement below SELECT Score, CASE WHEN @pre = Score THEN @rk + 0 WHEN @pre := Score THEN @rk := @rk + 1 ELSE @rk := @rk + 1 END AS Rank FROM Scores, (SELECT @pre := NULL, @rk := 0) AS init ORDER BY Score DESC;

180、连续出现的数字
编写一个 SQL 查询,查找所有至少连续出现三次的数字。
+----+-----+
| Id | Num |
+----+-----+
| 1 | 1 |
| 2 | 1 |
| 3 | 1 |
| 4 | 2 |
| 5 | 1 |
| 6 | 2 |
| 7 | 2 |
+----+-----+
例如,给定上面的 Logs 表, 1 是唯一连续出现至少三次的数字。
+-----------------+
| ConsecutiveNums |
+-----------------+
| 1 |
+-----------------+
# Write your MySQL query statement below select distinctdd.Num ConsecutiveNums from( select d.Num, @n :=if(@pre=Num,@n+1,@n:=1) count, @pre:=Num from Logs d, (select @pre:=null, @n :=1)r)dd where dd.count>=3;

184、部门工资最高的员工
Employee 表包含所有员工信息,每个员工有其对应的 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 |
+----+-------+--------+--------------+
Department 表包含公司所有部门的信息。
+----+----------+
| 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。
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT | Max | 90000 |
| Sales | Henry | 80000 |
+------------+----------+--------+
# Write your MySQL query statement below SELECT Department.name AS 'Department', Employee.name AS 'Employee', Salary FROM Employee JOIN Department ON Employee.DepartmentId = Department.Id WHERE (Employee.DepartmentId , Salary) IN (SELECT DepartmentId, MAX(Salary) FROM Employee GROUP BY DepartmentId ) ;

185、部门工资前三高的所有员工
Employee 表包含所有员工信息,每个员工有其对应的工号 Id,姓名 Name,工资 Salary 和部门编号 DepartmentId 。
+----+-------+--------+--------------+
| Id | Name | Salary | DepartmentId |
+----+-------+--------+--------------+
| 1 | Joe | 85000 | 1 |
| 2 | Henry | 80000 | 2 |
| 3 | Sam | 60000 | 2 |
| 4 | Max | 90000 | 1 |
| 5 | Janet | 69000 | 1 |
| 6 | Randy | 85000 | 1 |
| 7 | Will | 70000 | 1 |
+----+-------+--------+--------------+
Department 表包含公司所有部门的信息。
+----+----------+
| Id | Name |
+----+----------+
| 1 | IT |
| 2 | Sales |
+----+----------+
编写一个 SQL 查询,找出每个部门获得前三高工资的所有员工。例如,根据上述给定的表,查询结果应返回:
+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT | Max | 90000 |
| IT | Randy | 85000 |
| IT | Joe | 85000 |
| IT | Will | 70000 |
| Sales | Henry | 80000 |
| Sales | Sam | 60000 |
+------------+----------+--------+
解释:
IT 部门中,Max 获得了最高的工资,Randy 和 Joe 都拿到了第二高的工资,Will 的工资排第三。销售部门(Sales)只有两名员工,Henry 的工资最高,Sam 的工资排第二。
# Write your MySQL query statement belowSELECT Department.NAME AS Department, e1.NAME AS Employee, e1.Salary AS Salary FROM Employee AS e1,Department WHERE e1.DepartmentId = Department.Id AND 3 > (SELECTcount( DISTINCT e2.Salary ) FROMEmployee AS e2 WHEREe1.Salary < e2.SalaryAND e1.DepartmentId = e2.DepartmentId) ORDER BY Department.NAME,Salary DESC;

196、删除重复的电子邮箱
编写一个 SQL 查询,来删除 Person 表中所有重复的电子邮箱,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 |
+----+------------------+
Id 是这个表的主键。
例如,在运行你的查询语句之后,上面的 Person 表应返回以下几行:
+----+------------------+
| Id | Email |
+----+------------------+
| 1 | john@example.com |
| 2 | bob@example.com |
+----+------------------+
提示:
执行 SQL 之后,输出是整个 Person 表。
使用 delete 语句。
# Write your MySQL query statement below DELETE FROM Person WHERE Id NOT IN (-- 删除不在查询结果中的值 SELECT id FROM ( SELECT MIN(Id) AS Id -- 排除Email相同时中Id较大的行 FROM Person GROUP BY Email ) AS temp-- 此处需使用临时表,否则会发生报错 )

197、上升的温度
给定一个 Weather 表,编写一个 SQL 查询,来查找与之前(昨天的)日期相比温度更高的所有日期的 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 |
+---------+------------------+------------------+
例如,根据上述给定的 Weather 表格,返回如下 Id:
+----+
| Id |
+----+
| 2 |
| 4 |
+----+
# 如果反过来【用b的日期-a的日期,a的温度>b.温度,输出a的ID】,结果就会变少?为什么 # Write your MySQL query statement below select b.Id from Weather a join Weather b where DATEDIFF(a.RecordDate,b.RecordDate)=-1 and a.Temperature

262、行程和用户
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。
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)
+------------+-------------------+
| Day | Cancellation Rate |
+------------+-------------------+
| 2013-10-01 | 0.33 |
| 2013-10-02 | 0.00 |
| 2013-10-03 | 0.50 |
+------------+-------------------+
# Write your MySQL query statement below select temp.request_at Day, round(sum(case temp.status when 'completed' then 0 else 1 end)/count(temp.status),2) 'Cancellation Rate' from (select status,request_at from trips t left join users u on t.client_id = u.users_id where u.banned ='no') temp where request_at between '2013-10-01' and '2013-10-03' group by temp.request_at

601、体育馆人流量
X 市建了一个新的体育馆,每日人流量信息被记录在这三列信息中:序号 (id)、日期 (visit_date)、 人流量 (people)。
请编写一个查询语句,找出人流量的高峰期。高峰期时,至少连续三行记录中的人流量不少于100。
例如,表 stadium:
+------+------------+-----------+
| id | visit_date | people |
+------+------------+-----------+
| 1 | 2017-01-01 | 10 |
| 2 | 2017-01-02 | 109 |
| 3 | 2017-01-03 | 150 |
| 4 | 2017-01-04 | 99 |
| 5 | 2017-01-05 | 145 |
| 6 | 2017-01-06 | 1455 |
| 7 | 2017-01-07 | 199 |
| 8 | 2017-01-08 | 188 |
+------+------------+-----------+
对于上面的示例数据,输出为:
+------+------------+-----------+
| id | visit_date | people |
+------+------------+-----------+
| 5 | 2017-01-05 | 145 |
| 6 | 2017-01-06 | 1455 |
| 7 | 2017-01-07 | 199 |
| 8 | 2017-01-08 | 188 |
+------+------------+-----------+
# Write your MySQL query statement below SELECT id, visit_date, people FROM ( SELECT r1.*, @flag := if((r1.countt >= 3 OR @flag = 1) AND r1.countt != 0, 1, 0) AS flag FROM ( SELECT s.*, @count := if(s.people >= 100, @count + 1, 0) AS `countt` FROM stadium s, (SELECT @count := 0) b ) r1, (SELECT @flag := 0) c ORDER BY id DESC ) result WHERE flag = 1 ORDER BY id;

626、换座位
小美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?
示例:
+---------+---------+
| 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:
+---------+---------+
| id | student |
+---------+---------+
| 1 | Doris |
| 2 | Abbot |
| 3 | Green |
| 4 | Emerson |
| 5 | Jeames |
+---------+---------+
注意:
【【2020-02-25】leetcode|【2020-02-25】leetcode sql】如果学生人数是奇数,则不需要改变最后一个同学的座位。
# Write your MySQL query statement below SELECT s1.id, COALESCE(s2.student, s1.student) AS student FROM seat s1 LEFT JOIN seat s2 ON ((s1.id + 1) ^ 1) - 1 = s2.id ORDER BY s1.id;

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