Tsql 根据SQL中的持续时间和数量生成时隙

我有一张桌子，出于某种原因，它可以像这样存放Rota：

Rota      | Date_Start              | Position | Duration | Quantity | Rota_Slot_Type
----------+-------------------------+----------+----------+----------+---------------
372387412 | 2020-04-12 08:00:00.000 | 1        | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2        | 15       | 1        | Support Slot
372387412 | 2020-04-12 08:00:00.000 | 3        | 30       | 1        | Lunch Break
372387412 | 2020-04-12 08:00:00.000 | 4        | 15       | 13       | Not available
372387412 | 2020-04-12 08:00:00.000 | 5        | 15       | 1        | Support Slot
372387412 | 2020-04-12 08:00:00.000 | 6        | 30       | 1        | Lunch Break
372387412 | 2020-04-12 08:00:00.000 | 7        | 15       | 12       | Not available
372387412 | 2020-04-12 08:00:00.000 | 8        | 15       | 1        | Support Slot
372387412 | 2020-04-12 08:00:00.000 | 9        | 15       | 1        | Not available

更改表不是一个选项

我已经生成了以下内容：

ID_Rota   | Date_Start              | RowNumber | Position | Number | Duration | Quantity | Rota_Slot_Type
----------+-------------------------+-----------+----------+--------+----------+----------+---------------
372387412 | 2020-04-12 08:00:00.000 | 1         | 1        | 1      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2         | 1        | 2      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 3         | 1        | 3      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 4         | 1        | 4      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 5         | 1        | 5      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 6         | 1        | 6      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 7         | 1        | 7      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 8         | 1        | 8      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 9         | 1        | 9      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 10        | 1        | 10     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 11        | 1        | 11     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 12        | 1        | 12     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 13        | 1        | 13     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 14        | 1        | 14     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 15        | 1        | 15     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 16        | 2        | 1      | 15       | 1        | Support Slot
372387412 | 2020-04-12 08:00:00.000 | 17        | 3        | 1      | 30       | 1        | Lunch Break
372387412 | 2020-04-12 08:00:00.000 | 18        | 4        | 1      | 15       | 13       | Not available
372387412 | 2020-04-12 08:00:00.000 | 19        | 4        | 2      | 15       | 13       | Not available
372387412 | 2020-04-12 08:00:00.000 | 20        | 4        | 3      | 15       | 13       | Not available

（前20行，共46行） 这是使用以下SQL生成的：

select
    rs.ID_Rota,
    rs.Date_Start,
    row_number() over (partition by rs.Date_Start, rs.ID_Rota order by rs.Position, n.Number) as [RowNumber],
    rs.Position,
    n.Number,
    rs.Duration,
    rs.Quantity,
    rs.Rota_Slot_Type
from dbo.RotaSlots as [rs]
    cross apply
        (
            select top (rs.Quantity)
                n.Number + 1 as [Number]
            from dbo.Numbers as [n]
        ) as [n]

我正在努力解决的部分是为每一行生成一个Slot\u Start列。我的预期产出是：

ID_Rota   | Date_Start              | Slot_Start              | RowNumber | Position | Number | Duration | Quantity | Rota_Slot_Type
----------+-------------------------+-------------------------+-----------+----------+--------+----------+----------+---------------
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 08:00:00.000 | 1         | 1        | 1      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 08:15:00.000 | 2         | 1        | 2      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 08:30:00.000 | 3         | 1        | 3      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 08:45:00.000 | 4         | 1        | 4      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 09:00:00.000 | 5         | 1        | 5      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 09:15:00.000 | 6         | 1        | 6      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 09:30:00.000 | 7         | 1        | 7      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 09:45:00.000 | 8         | 1        | 8      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 10:00:00.000 | 9         | 1        | 9      | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 10:15:00.000 | 10        | 1        | 10     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 10:30:00.000 | 11        | 1        | 11     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 10:45:00.000 | 12        | 1        | 12     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 11:00:00.000 | 13        | 1        | 13     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 11:15:00.000 | 14        | 1        | 14     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 11:30:00.000 | 15        | 1        | 15     | 15       | 15       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 11:45:00.000 | 16        | 2        | 1      | 15       | 1        | Support Slot
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 12:15:00.000 | 17        | 3        | 1      | 30       | 1        | Lunch Break
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 12:30:00.000 | 18        | 4        | 1      | 15       | 13       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 12:45:00.000 | 19        | 4        | 2      | 15       | 13       | Not available
372387412 | 2020-04-12 08:00:00.000 | 2020-04-12 13:00:00.000 | 20        | 4        | 3      | 15       | 13       | Not available

第一个块是相对直接的-

（RowNumber-1）*Duration

为位置1下的所有行提供了槽开始。当您将块切换到位置2、位置3等时，它会下降

---

感谢您的帮助。

获得插槽启动时间的最简单方法是

• 对行进行排序（与RowNumber一样）
• 对前面所有行的分钟持续时间进行累计和（运行总计）
• 将此累计总和添加到开始日期时间

换句话说，不是计算

（rownumber-1）*持续时间，而是计算前面所有相关行的持续时间之和

您可以使用如下表达式来计算Slot_Start

DATEADD(minute, SUM(Duration) OVER (PARTITION BY ID_Rota, Date_Start ORDER BY RowNumber) - Duration, Date_Start) AS Slot_Start

注意：您可能需要将代码放入子查询或CTE中，以便计算行数，或者可以将行数表达式等合并到同一组计算中

您也可以在window函数中显式使用这些行，但需要说明第一行的情况除外，例如

ISNULL(DATEADD(minute, SUM(Duration) OVER (PARTITION BY ID_Rota, Date_Start ORDER BY RowNumber ROWS BETWEEN UNBOUNDED PRECEDING AND 1 PRECEDING), Date_Start), Date_Start) AS Slot_Start2

这是一个与您上面的数据类似的例子（在意识到您正在做一些不同的事情之前，我开始走上了一条道路；但是，持续时间的累计总和应该仍然有效）。
我离得太近了！谢谢你。是的，你肯定是-这只是你所拥有的一个小小的改变。