SQLserver中cube：多维数据集实例详解
编程学习 2021-07-05 13:43www.dzhlxh.cn编程入门
这篇文章主要介绍了SQLserver中cube：多维数据集实例详解，具有一定参考价值，需要的朋友可以了解下。
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]
总结
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