SQLServer RANK() 排名函数的使用

本文主要介绍了SQLServer RANK() 排名函数的使用，具体如下：

-- 例子表数据
SELECT * FROM test;
-- 统计分数
SELECT name,SUM(achievement) achievement FROM test GROUP BY name;
-- 按统计分数做排行
SELECT RANK() OVER( ORDER BY SUM(achievement) desc) 排行,name,SUM(achievement) achievement FROM test GROUP BY name;

求助问答存储过程使用：

USE [DB]
GO

/****** Object:  StoredProcedure [dbo].[sp_TodayJoinUser]    Script Date: 2021/1/26 14:45:24 ******/
SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

-- =============================================
-- Author:		_Hey_Jude
-- Create date: 2021-01-26
-- Description:	获取今日发表帮助/回复的新用户
-- =============================================
CREATE PROCEDURE [dbo].[sp_TodayJoinUser]
	@tableLevel int,
    @date varchar(30)
AS
Declare @Sql nvarchar(max)
declare @minTabId int
declare @maxTabId int
declare @maxf_id int
declare @helpTableName nvarchar(max)
declare @tableCount int

BEGIN
	 --最小f_id所在表
	 set @minTabId=0
	 set @tableCount=@minTabId
	 --最大f_id所在表
	 set @maxf_id=(select MAX(F_ID) from [Table] where F_IsDelete=0)
	 set @maxTabId=@maxf_id/@tablelevel

	 set @helpTableName='SELECT UserID, Max([F_DateTime]) AS dt FROM [Table] GROUP BY UserID'

	 while @tableCount<=@maxTabId
	 begin
		print @tableCount
		set @helpTableName += ' UNION SELECT UserID, Max([DateTime]) as dt FROM SubTable'+cast(@tableCount as nvarchar(10))+' GROUP BY UserID '
		set @tableCount=@tableCount+1
	 end 

     set @Sql='SELECT [nikename] FROM (
					SELECT UserID, RANK() OVER(PARTITION BY UserID ORDER BY dt) AS Num,dt FROM ( '+@helpTableName+' ) AS T ) AS NewT
			   LEFT JOIN [UserTable] A WITH(NOLOCK) ON NewT.UserID = A.UserId WHERE Num = 1 AND dt > '''+@date+''''

	 Exec sp_executesql @Sql
END

GO

partition的意思是对数据进行分区，sql语句如下

SELECT* FROM (
    SELECT
        ROW_NUMBER() over(partition by [姓名] order by [打卡时间] desc) as rowNum,
        [姓名],
        [打卡时间]
    FROM [dbo].[打卡记录表]
    ) temp
WHERE temp.rowNum = 1

通过 partition by [姓名] order by [打卡时间] desc，这句就可以做到，让数据按照姓名分组，并且在每组内部按照时间进行排序

到此这篇关于SQLServer RANK() 排名函数的使用的文章就介绍到这了,更多相关SQLServer RANK()内容请搜索我们以前的文章或继续浏览下面的相关文章希望大家以后多多支持我们！