Sql 在按用户ID分组的不同对上查找DATEDIFF之和？

我有一个命令，看起来像这样：

SELECT
UserID,
FacilityMMXID,
ScheduleDate,
StartTime,
EndTime
FROM TblPASchedule 
WHERE UserID = 244 AND MONTH(ScheduleDate) = 03 AND Year(ScheduleDate) = 2017

输出如下所示

UserID      FacilityMMXID ScheduleDate StartTime        EndTime
----------- ------------- ------------ ---------------- ----------------
244         1             2017-03-17   01:00:00         05:00:00
244         2             2017-03-17   01:00:00         05:00:00
244         3             2017-03-17   01:00:00         05:00:00
244         4             2017-03-17   01:00:00         05:00:00
244         5             2017-03-17   01:00:00         05:00:00
244         6             2017-03-17   01:00:00         05:00:00
244         7             2017-03-17   01:00:00         05:00:00
244         8             2017-03-17   01:00:00         05:00:00
244         9             2017-03-17   01:00:00         05:00:00
244         10            2017-03-17   01:00:00         05:00:00
244         11            2017-03-17   01:00:00         05:00:00
244         12            2017-03-17   01:00:00         05:00:00
244         13            2017-03-17   01:00:00         05:00:00
244         14            2017-03-17   01:00:00         05:00:00
244         15            2017-03-17   01:00:00         05:00:00
244         1             2017-03-17   05:00:00         22:00:00
244         2             2017-03-17   05:00:00         22:00:00
244         3             2017-03-17   05:00:00         22:00:00
244         4             2017-03-17   05:00:00         22:00:00
244         5             2017-03-17   05:00:00         22:00:00
244         6             2017-03-17   05:00:00         22:00:00
244         7             2017-03-17   05:00:00         22:00:00
244         8             2017-03-17   05:00:00         22:00:00
244         9             2017-03-17   05:00:00         22:00:00
244         10            2017-03-17   05:00:00         22:00:00
244         11            2017-03-17   05:00:00         22:00:00
244         12            2017-03-17   05:00:00         22:00:00
244         13            2017-03-17   05:00:00         22:00:00
244         14            2017-03-17   05:00:00         22:00:00
244         15            2017-03-17   05:00:00         22:00:00

Hours Worked    UserID
1.666666        19
1.233333        37
0.500000        38

我遗漏了ID行，因为它在本例中并不重要。 另外-是的-我意识到这个表是非常冗余的-它不是我目前可以修复的东西，因为我不被允许-我只能让前面提到的求和函数工作

最终目标是将不同的开始时间和结束时间对配对，然后找出它们之间的日期差异——然后，在整个月内——找到所有条目的总和

就我所知：

使用：

SELECT
UserID,
DATEDIFF(HOUR, StartTime, EndTime) AS 'Hours Worked'
FROM TblPASchedule WHERE UserID = 244 AND MONTH(ScheduleDate) = 03 AND Year(ScheduleDate) = 2017
GROUP BY UserId, StartTime, EndTime

我得到的输出是：

UserID      Hours Worked
----------- ------------
244         4
244         17

但我不太确定我应该从这里走到哪里

---

我最终需要让它根据用户ID对这些总和进行分组，但我想是一步一步。我现在正在使用where子句处理单个id…

您是否尝试过在组的顶部包装其他子查询

SELECT UserId, SUM('Hours Worked') as 'Hours Worked' FROM (
  SELECT
   UserID,
   DATEDIFF(HOUR, StartTime, EndTime) AS 'Hours Worked'
   FROM TblPASchedule WHERE UserID = 244 AND MONTH(ScheduleDate) = 03 AND Year(ScheduleDate) = 2017
   GROUP BY UserId, StartTime, EndTime
) AS temp
GROUP BY UserId

---

此查询获取所有不同的UserID、Starttime和Endtime集

;WITH CTE AS
 (SELECT DISTINCT UserID, StartTime, EndTime  FROM [dbo].[TblPASchedule])

SELECT SUM(DATEDIFF(MINUTE, StartTime, EndTime))/60.0 AS 'Hours Worked', UserID
FROM CTE GROUP BY UserID

结果是这样的

UserID      FacilityMMXID ScheduleDate StartTime        EndTime
----------- ------------- ------------ ---------------- ----------------
244         1             2017-03-17   01:00:00         05:00:00
244         2             2017-03-17   01:00:00         05:00:00
244         3             2017-03-17   01:00:00         05:00:00
244         4             2017-03-17   01:00:00         05:00:00
244         5             2017-03-17   01:00:00         05:00:00
244         6             2017-03-17   01:00:00         05:00:00
244         7             2017-03-17   01:00:00         05:00:00
244         8             2017-03-17   01:00:00         05:00:00
244         9             2017-03-17   01:00:00         05:00:00
244         10            2017-03-17   01:00:00         05:00:00
244         11            2017-03-17   01:00:00         05:00:00
244         12            2017-03-17   01:00:00         05:00:00
244         13            2017-03-17   01:00:00         05:00:00
244         14            2017-03-17   01:00:00         05:00:00
244         15            2017-03-17   01:00:00         05:00:00
244         1             2017-03-17   05:00:00         22:00:00
244         2             2017-03-17   05:00:00         22:00:00
244         3             2017-03-17   05:00:00         22:00:00
244         4             2017-03-17   05:00:00         22:00:00
244         5             2017-03-17   05:00:00         22:00:00
244         6             2017-03-17   05:00:00         22:00:00
244         7             2017-03-17   05:00:00         22:00:00
244         8             2017-03-17   05:00:00         22:00:00
244         9             2017-03-17   05:00:00         22:00:00
244         10            2017-03-17   05:00:00         22:00:00
244         11            2017-03-17   05:00:00         22:00:00
244         12            2017-03-17   05:00:00         22:00:00
244         13            2017-03-17   05:00:00         22:00:00
244         14            2017-03-17   05:00:00         22:00:00
244         15            2017-03-17   05:00:00         22:00:00

Hours Worked    UserID
1.666666        19
1.233333        37
0.500000        38

---

这管用！非常感谢。我想把整个事情说成一句话，但这也很好。我相信也没有性能差异。