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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