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SQL開發知識:SQLserver中cube:多維數據集實例詳解

時間:2024-03-11 15:08作者:下載吧人氣:25

1、cube:生成多維數據集,包含各維度可能組合的交叉表格,使用with 關鍵字連接 with cube

根據需要使用union all 拼接

判斷 某一列的null值來自源數據還是 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值來自源數據

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) 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) 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) 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) 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

標簽MSSQL,SQLServer,技術文檔,數據庫,SQLSERVER

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