SQL 服务器 2012 枢轴 Table

SQL Server 2012 Pivot Table

我需要创建一个在数据透视表中显示结果的查询 table。

我有一个 table 定期更新客户端构建状态更改

我们有 8 个构建阶段

这是我的查询

SELECT 
    s.ProjectStage, su.DateStageChanged, p.FK_ID As ID,
    s.LongDesc AS BuildType, su.FK_StageID  
FROM 
    [dbo].[tbl_StageUpdates] AS su
LEFT JOIN
    [dbo].[tbl_Stage] AS s ON su.FK_StageID = s.id
LEFT JOIN 
    tbl_Projects AS p ON su.FK_ProjectID = p.PK_ProjectID
WHERE 
    s.LongDesc = 'New Build'
GROUP BY 
    p.FK_ID, s.ProjectStage, su.DateStageChanged, s.LongDesc, su.FK_StageID
ORDER BY 
    su.FK_StageID ASC

ID 是客户 ID,我希望查询显示如下信息:

可以吗?

如有任何帮助,我们将不胜感激

干杯

如果您只有 8 个阶段,您可以使用 CASE...WHENGROUP BY 来归档您的预期输出。我认为它比使用 PIVOT 函数更具可读性。此外,它是 T-SQL 并且更容易迁移到其他 DBMS。

SELECT 
   ID, 
   BuildType,
   MAX(CASE FK_StageID WHEN 115 THEN DateStageChanged ELSE NULL END) AS [Land Purchased],
   MAX(CASE FK_StageID WHEN 116 THEN DateStageChanged ELSE NULL END) AS [Foundations],
   MAX(CASE FK_StageID WHEN 117 THEN DateStageChanged ELSE NULL END) AS [Timber Kit Erected / Wall Plate Level],
   MAX(CASE FK_StageID WHEN 118 THEN DateStageChanged ELSE NULL END) AS [Wind & Water Tight],
   MAX(CASE FK_StageID WHEN 119 THEN DateStageChanged ELSE NULL END) AS [1st Fix & Plastering],
   MAX(CASE FK_StageID WHEN 120 THEN DateStageChanged ELSE NULL END) AS [Final Fit Out],
   MAX(CASE FK_StageID WHEN 121 THEN DateStageChanged ELSE NULL END) AS [Completed],
   MAX(CASE FK_StageID WHEN 122 THEN DateStageChanged ELSE NULL END) AS [Redeemed]
FROM
   (
    -- original query  
        SELECT 
            s.ProjectStage, su.DateStageChanged, p.FK_ID As ID,
            s.LongDesc AS BuildType, su.FK_StageID  
        FROM 
            [dbo].[tbl_StageUpdates] AS su
        LEFT JOIN
            [dbo].[tbl_Stage] AS s ON su.FK_StageID = s.id
        LEFT JOIN 
            tbl_Projects AS p ON su.FK_ProjectID = p.PK_ProjectID
        WHERE 
            s.LongDesc = 'New Build'
        GROUP BY 
            p.FK_ID, s.ProjectStage, su.DateStageChanged, s.LongDesc, su.FK_StageID
    -- original query           
   )  Data 
GROUP BY 
   ID, BuildType