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SQLServer-Day9

SQLServer-Day9

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”。

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+----+-------+
| 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):

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+-------+------+
| Score | Rank |
+-------+------+
| 4.00 | 1 |
| 4.00 | 1 |
| 3.85 | 2 |
| 3.65 | 3 |
| 3.65 | 3 |
| 3.50 | 4 |
+-------+------+

Code:

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SELECT Score, dense_rank() over (ORDER BY Score DESC) as Rank
FROM Scores

**Tips:**SQL Server中ROW_NUMBER()RANK()DENSE_RANK()这三个函数都是对分过组的数据排序,凡是又各有区别:

ROWNUMBER() OVER ([PARTITION BY Columns1 ORDER BY columns2)

DENSE_RANK() OVER ([PARTITION BY Columns1] ORDER BY columns2)

RANK() OVER ([PARTITION BY Columns1] ORDER BY columns2)

这三个函数都是按照column1分组从1开始排序

其中,ROW_NUMBER()是没有重复值的排序(即使两条记录仙童,序号也不重复),不会有同名次

DENSE_RANK()是连续的排序,两个第二名仍然跟着第三名

RANK()是跳跃排序,两个第二名下来就是第四名

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。

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+----+-------+--------+--------------+
| 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。

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+----+----------+
| 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。

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+------------+----------+--------+
| Department | Employee | Salary |
+------------+----------+--------+
| IT | Max | 90000 |
| Sales | Henry | 80000 |
+------------+----------+--------+

Code:

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select d.Name as Department,e.Name as Employee, e.Salary from
(select max(Salary) as Salary,DepartmentId from Employee
group by DepartmentId) t
join Employee e on e.Salary = t.Salary and e.DepartmentId = t.DepartmentId
join Department d on d.Id = e.DepartmentId