SQLserver中关于cube的详细介绍
来源:爱站网时间:2022-10-11编辑:网友分享
这篇文章主要介绍了SQLserver中关于cube的详细内容,具有一定参考价值,有需要的朋友可以了解下。下面的时间就请看看爱站技术频道小编为大家所整理的资料吧!
1、cube:生成多维数据集,包含各维度可能组合的交叉表格,使用with 关键字连接 with cube
根据需要使用union all 拼接
判断 某一列的null值来自源数据还是 cube 使用GROUPING关键字
GROUPING([档案号]) = 1 : null值来自cube(代表所有的档案号)
GROUPING([档案号]) = 0 : null值来自源数据
举例:
SELECT * INTO ##GET
FROM
(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([档案号]) = 1 --AND GROUPING([系列]) = 1 ) AS M
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 ) AS P )
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 ) 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]
不知道朋友们都看明白了这篇SQLserver中关于cube的详细介绍吗,有需要小编协助讲解的地方,可以来网站留言。爱站技术频道网站提供了很多技术文章,有需要的话随时来关注下。
下一篇:MSSQL批量数据如何插入
