1、cube:生成多維數(shù)據(jù)集，包含各維度可能組合的交叉表格，使用with 關鍵字連接 with cube
根據(jù)需要使用union all 拼接
判斷 某一列的null值來自源數(shù)據(jù)還是 cube 使用GROUPING關鍵字
GROUPING([檔案號]) = 1 ： null值來自cube（代表所有的檔案號）
GROUPING([檔案號]) = 0 ： null值來自源數(shù)據(jù)
舉例：
SELECT * INTO ##GET
FROM
(SELECT *
FROM ( SELECT
CASE
WHEN (GROUPING([檔案號]) = 1) THEN
'合計'
ELSE [檔案號]
END AS '檔案號',
CASE
WHEN (GROUPING([系列]) = 1) THEN
'合計'
ELSE [系列]
END AS '系列',
CASE
WHEN (GROUPING([店長]) = 1) THEN
'合計'
ELSE [店長]
END AS '店長', SUM (剩余次數(shù)) AS '總剩余',
CASE
WHEN (GROUPING([店名]) = 1) THEN
'合計'
ELSE [店名]
END AS '店名'
FROM ##PudianCard
GROUP BY [檔案號], [店名], [店長], [系列]
WITH cube
HAVING GROUPING([店名]) != 1
AND GROUPING([檔案號]) = 1 --AND GROUPING([系列]) = 1 ) AS M
UNION
ALL
(SELECT *
FROM ( SELECT
CASE
WHEN (GROUPING([檔案號]) = 1) THEN
'合計'
ELSE [檔案號]
END AS '檔案號',
CASE
WHEN (GROUPING([系列]) = 1) THEN
'合計'
ELSE [系列]
END AS '系列',
CASE
WHEN (GROUPING([店長]) = 1) THEN
'合計'
ELSE [店長]
END AS '店長', SUM (剩余次數(shù)) AS '總剩余',
CASE
WHEN (GROUPING([店名]) = 1) THEN
'合計'
ELSE [店名]
END AS '店名'
FROM ##PudianCard
GROUP BY [檔案號], [店名], [店長], [系列]
WITH cube
HAVING GROUPING([店名]) != 1
AND GROUPING([店長]) != 1 ) AS P )
UNION
ALL
(SELECT *
FROM ( SELECT
CASE
WHEN (GROUPING([檔案號]) = 1) THEN
'合計'
ELSE [檔案號]
END AS '檔案號',
CASE
WHEN (GROUPING([系列]) = 1) THEN
'合計'
ELSE [系列]
END AS '系列',
CASE
WHEN (GROUPING([店長]) = 1) THEN
'合計'
ELSE [店長]
END AS '店長', SUM (剩余次數(shù)) AS '總剩余',
CASE
WHEN (GROUPING([店名]) = 1) THEN
'合計'
ELSE [店名]
END AS '店名'
FROM ##PudianCard
GROUP BY [檔案號], [店名], [店長], [系列]
WITH cube
HAVING GROUPING([店名]) != 1
AND GROUPING([店長]) != 1 ) AS W )
UNION
ALL
(SELECT *
FROM ( SELECT
CASE
WHEN (GROUPING([檔案號]) = 1) THEN
'合計'
ELSE [檔案號]
END AS '檔案號',
CASE
WHEN (GROUPING([系列]) = 1) THEN
'合計'
ELSE [系列]
END AS '系列',
CASE
WHEN (GROUPING([店長]) = 1) THEN
'合計'
ELSE [店長]
END AS '店長', SUM (剩余次數(shù)) AS '總剩余',
CASE
WHEN (GROUPING([店名]) = 1) THEN
'合計'
ELSE [店名]
END AS '店名'
FROM ##PudianCard
GROUP BY [檔案號], [店名], [店長], [系列]
WITH cube
HAVING GROUPING([店名]) = 1
AND GROUPING([店長]) = 1
AND GROUPING([檔案號]) = 1 ) AS K ) ) AS T
2、rollup:功能跟cube相似
3、將某一列的數(shù)據(jù)作為列名，動態(tài)加載，使用存儲過程，拼接字符串
DECLARE @st nvarchar (MAX) = '';SELECT @st =@st + 'max(case when [系列]=''' + CAST ([系列] AS VARCHAR) + ''' then [總剩余] else null end ) as [' + CAST ([系列] AS VARCHAR) + '],'
FROM ##GET
GROUP BY [系列]; print @st;
4、根據(jù)某一列分組，分別建表
SELECT
'select ROW_NUMBER() over(order by [卡項] desc) as [序號], [會員],[檔案號],[卡項],[剩余次數(shù)],[員工],[店名] into ' + ltrim([店名]) + ' from 查詢 where [店名]=''' + [店名] + ''' ORDER BY [卡項] desc'
FROM
查詢
GROUP BY
[店名]
總結
以上就是本文關于SQLserver中cube：多維數(shù)據(jù)集實例詳解的全部內容，希望對大家有所幫助。感興趣的朋友可以繼續(xù)參閱：MYSQL子查詢和嵌套查詢優(yōu)化實例解析、幾個比較重要的MySQL變量、ORACLE SQL語句優(yōu)化技術要點解析等，有什么問題可以隨時留言，小編會及時回復大家的。感謝各位對本站的支持！
您可能感興趣的文章:- SQL Server 2008還原數(shù)據(jù)庫的方法
- Python3操作SQL Server數(shù)據(jù)庫(實例講解)
- C#實現(xiàn)連接SQL Server2012數(shù)據(jù)庫并執(zhí)行SQL語句的方法
- sql server2008數(shù)據(jù)庫遷移的兩種方法
- SQL SERVER 2008數(shù)據(jù)庫日志文件收縮的方法
- Windows Server 2016 MySQL數(shù)據(jù)庫安裝配置詳細安裝教程
- Python基于Pymssql模塊實現(xiàn)連接SQL Server數(shù)據(jù)庫的方法詳解
- C#實現(xiàn)Excel表數(shù)據(jù)導入Sql Server數(shù)據(jù)庫中的方法
- SQL Server 遠程更新目標表數(shù)據(jù)的存儲過程
