HAVING GROUPING([店名]) != 1
AND GROUPING([店长]) != 1 ) AS W )
UNION
ALL
(SELECT *
FROM ( SELECT
CASE
WHEN (GROUPING([档案号]) = 1) THEN
'合计'
ELSE [档案号] END AS '档案号',
CASE
WHEN (GROUPING([系列]) = 1) THEN
'合计'
ELSE [系列] END AS '系列',
CASE
WHEN (GROUPING([店长]) = 1) THEN
'合计'
ELSE [店长] END AS '店长', SUM (剩余次数) AS '总剩余',
CASE
WHEN (GROUPING([店名]) = 1) THEN
'合计'
ELSE [店名] END AS '店名'
FROM ##PudianCard
GROUP BY [档案号], [店名], [店长], [系列] WITH cube
HAVING GROUPING([店名]) = 1
AND GROUPING([店长]) = 1
AND GROUPING([档案号]) = 1 ) AS K ) ) AS T
2、rollup:功能跟cube相似
3、将某一列的数据作为列名,动态加载,使用存储过程,拼接字符串
DECLARE @st nvarchar (MAX) = '';SELECT @st =@st + 'max(case when [系列]=''' + CAST ([系列] AS VARCHAR) + ''' then [总剩余] else null end ) as [' + CAST ([系列] AS VARCHAR) + '],'
FROM ##GET
GROUP BY [系列]; print @st;4、根据某一列分组,分别建表
SELECT
'select ROW_NUMBER() over(order by [卡项] desc) as [序号], [会员],[档案号],[卡项],[剩余次数],[员工],[店名] into ' + ltrim([店名]) + ' from 查询 where [店名]=''' + [店名] + ''' ORDER BY [卡项] desc'
FROM
查询
GROUP BY
[店名]总结
以上就是本文关于SQLserver中cube:多维数据集实例详解的全部内容,希望对大家有所帮助。感兴趣的朋友可以继续参阅:MYSQL子查询和嵌套查询优化实例解析、几个比较重要的MySQL变量、ORACLE SQL语句优化技术要点解析等,有什么问题可以随时留言,小编会及时回复大家的。感谢各位对本站的支持!
您可能感兴趣的文章:SQL Server 2008还原数据库的方法Python3操作SQL Server数据库(实例讲解)C#实现连接SQL Server2012数据库并执行SQL语句的方法sql server2008数据库迁移的两种方法SQL SERVER 2008数据库日志文件收缩的方法Windows Server 2016 MySQL数据库安装配置详细安装教程Python基于Pymssql模块实现连接SQL Server数据库的方法详解C#实现Excel表数据导入Sql Server数据库中的方法SQL Server 远程更新目标表数据的存储过程










