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SQLserver中cube:多维数据集实例详解

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[数据库(mssql) 所属分类 数据库(mssql) | 发布者 店小二04 | 时间 | 作者 红领巾 ] 0人收藏点击收藏
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]) != 1AND 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 ##PudianCardGROUP BY [档案号], [店名], [店长], [系列]WITH cubeHAVING GROUPING([店名]) != 1 AND GROUPING([店长]) != 1 ) AS W )UNIONALL (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 [email protected] + '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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主题: SQL数据MySQLSU存储过程变量
tags: GROUPING,AS,店名,CASE,THEN,WHEN,END,ELSE,店长,档案,cube,SELECT,FROM,系列,合计
分页:12
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