根据 SQL 中的持续时间和数量生成时间段

Question

我有一个 table 出于某种原因存储这样的循环：

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 table 不是一个选项。

我生成了这个：

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]

我遇到困难的部分是为每一行生成一个 Slot_Start 列。我的预期输出是：

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

第一个方块相对简单 - (RowNumber - 1) * Duration 给我位置 1 下所有行的 Slot_Start。当你将方块切换到位置 2、位置 3 等时，它会掉下来.

非常感谢任何帮助。

Answer 1

获得Slot_Start时间的最简单方法是

对行进行排序（与 RowNumber 相同）
对前面所有行的持续时间进行累计（运行总计）
将此累计总和添加到 Start_Datetime

换句话说 - 不是计算 (rownumber - 1) * Duration，而是计算前面所有相关行的持续时间总和。

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

请注意，您可能需要将代码放入子查询或 CTE 中，以便计算 RowNumber，或者您可以将 ROW_NUMBER 表达式等合并到同一组计算中。

您也可以在 window 函数中明确使用 ROWS，除非您需要考虑第一行，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

这里有一个 db<>fiddle，其中的数据与您上面的数据相似（我开始了一条路，然后才意识到您在做一些不同的事情；但是，持续时间的累计总和应该仍然有效）。

根据 SQL 中的持续时间和数量生成时间段

Generate time slots based on duration and quantity in SQL

tsql

sql-server-2012