T-SQL Multiple Pivot Column问题

Question

我有一个SQL Server表和一个查询会导致一个数据透视表与两个透视列。以前它只与一个枢轴列（pvt1）一起工作。

SELECT 
    MIN([Created Date]), 
    MIN([2]) AS [2], 
    MIN([4]) AS [4], 
    MIN([12]) AS [12], 
    MIN([18]) AS [18], 
    MIN([47]) AS [47], 
    MIN([88]) AS [88], 
    MIN([982]) AS [982], 
    MIN([1033]) AS [1033], 
    MIN([2360]) AS [2360], 
    MIN([3759]) AS [3759], 
    MIN([3974]) AS [3974], 
    MIN([5586]) AS [5586] 
FROM 
    (SELECT 
     year(udp.CreatedDate) AS "Created Date", 
     MAX(udp.Participant) AS "Participant", 
     MAX(udp.LastModifiedDate) AS "Last Modified Date", 
     MAX(udp.Client) AS "Client" 
    FROM 
     UDP_Table AS udp 
    WHERE 
     1=1 
    GROUP BY 
     year(udp.CreatedDate)) AS source 
PIVOT (
    MAX([Last Modified Date]) 
FOR 
    [Participant] IN ([2], [4], [12], [18], [47], [88]) 
) 
as pvt1 
PIVOT (
    MAX([Last Modified Date]) 
FOR 
    [Client] IN ([982], [1033], [2360], [3759], [3974], [5586]) 
) 
as pvt2 

GROUP BY 
    [Created Date] 
ORDER BY 
    [Created Date] asc 

，其结果是：

[S0001] [207]无效的列名 '最后修改日期'。

奇怪的是，当我尝试这个示例表和查询（请参阅下面的链接），它与我的结构相同，它的工作原理。

http://pratchev.blogspot.de/2009/01/pivoting-on-multiple-columns.html

这有什么错我的查询？

Answer 1

您的第一个数据透视表将列[Last Modified Date]转换为名为[2], [4], [12], [18], [47], [88]的列，因此[Last Modified Date]对于第二个数据透视表不存在。比如你贴使用2分不同的列各关键SUM(value) AS value和SUM(quantity) AS quantity

我不是100％肯定你想完成什么，但基于您的最终选择，你希望每个参与者和每个客户端的列。你可能应该做一个联合一起加入记录，然后做1个枢轴。

这看起来像这样。

SELECT * 
FROM 
    (SELECT 
     year(udp.CreatedDate) AS "Created Date", 
     MAX(udp.Participant) AS "Participant", 
     MAX(udp.LastModifiedDate) AS "Last Modified Date", 
    FROM 
     UDP_Table AS udp 
    GROUP BY 
     year(udp.CreatedDate) 
    UNION ALL 
    SELECT 
     year(udp.CreatedDate) AS "Created Date", 
     MAX(udp.Client) AS "Participant", 
     MAX(udp.LastModifiedDate) AS "Last Modified Date", 
    FROM 
     UDP_Table AS udp 
    GROUP BY 
     year(udp.CreatedDate) 
) AS source 
PIVOT (
    MAX([Last Modified Date]) 
    FOR [Participant] IN ([2], [4], [12], [18], [47], [88], [982], [1033], [2360], [3759], [3974], [5586]) 
) 
as pvt1