Question

下面提到的是我的两个问题：

SELECT  WINDOWS_NT_LOGIN, COUNT(DPS_NUMBER) as TotalDPS
FROM DispatcherProductivity
WHERE DPS_Processed_Time_Stamp>='12/04/2014 10:30 AM' 
AND DPS_Processed_Time_Stamp<='12/05/2014 10:30 AM'
GROUP BY WINDOWS_NT_LOGIN
ORDER BY TotalDPS

SELECT  STATUS, COUNT(DPS_NUMBER) AS TotalDPS
FROM DispatcherProductivity
WHERE DPS_Processed_Time_Stamp>='12/04/2014 10:30 AM' 
AND DPS_Processed_Time_Stamp<='12/05/2014 10:30 AM'
GROUP BY STATUS
ORDER BY TotalDPS

他们各自的结果是：

WINDOWS_NT_LOGIN    TotalDPS
A_S 72
T_I_S   133

STATUS  TotalDPS
ID  1
Can 2
NHD 3
SED 14
Ord 185

我想以这种格式得到结果：

WINDOWS_NT_LOGIN ID Can NHD SED Ord
A_S                         2   70
T_I_S            1  2   3   12  115

由于

Answer 1

您可以使用PIVOT功能：

SELECT  pvt.WINDOWS_NT_LOGIN,
        pvt.[ID],
        pvt.[Can],
        pvt.[NHD],
        pvt.[SED],
        pvt.[Ord]
FROM    (   SELECT  WINDOWS_NT_LOGIN, STATUS, DPS_NUMBER
            FROM    DispatcherProductivity
            WHERE   DPS_Processed_Time_Stamp>='20141204 10:30:00' 
            AND     DPS_Processed_Time_Stamp<='20141205 10:30:00'
        ) AS t
        PIVOT
        (   COUNT(DPS_NUMBER)
            FOR STATUS IN ([ID], [Can], [NHD], [SED], [Ord])
        ) AS pvt;

N.B。我将您的日期更改为文化不变格式yyyyMMdd hh:mm:ss，但是，我不确定12/04/2014是否应该是4月12日或12月4日（这种格式的确切问题），所以有可能我把错误的日期写进了。我认为你的意思是12月4日，就像今天一样。

如需进一步阅读，请阅读Bad habits to kick : mis-handling date / range queries

Answer 2

我倾向于使用条件聚合来实现支点。在这种情况下：

SELECT WINDOWS_NT_LOGIN, COUNT(DPS_NUMBER) as TotalDPS,
       SUM(CASE WHEN status = 'ID' THEN DPS_Number END) as ID,
       SUM(CASE WHEN status = 'Can' THEN DPS_Number END) as Can,
       SUM(CASE WHEN status = 'NHD' THEN DPS_Number END) as NHD,
       SUM(CASE WHEN status = 'SED' THEN DPS_Number END) as SED,
       SUM(CASE WHEN status = 'Ord' THEN DPS_Number END) as Ord
FROM DispatcherProductivity
WHERE DPS_Processed_Time_Stamp >= '12/04/2014 10:30 AM' AND
      DPS_Processed_Time_Stamp <= '12/05/2014 10:30 AM'
GROUP BY WINDOWS_NT_LOGIN;

我还建议您在您的日期使用YYYY-MM-DD格式。我不知道你的日期是12月，4月和5月。

SQL Query将结果组合并显示在PIVOT中

2 个答案: