将时间频率拆分为行

Split Time Frequency To Rows(将时间频率拆分为行)

问题描述

我正在尝试将具有开始时间、结束时间、频率和持续时间的时间频率拆分为单独的行.以下是一些示例数据:

I am trying to split a time frequency that has a start time, an end time, a frequency and a duration into separate rows. Here is some example data:

+------+------------+----------+-----------------+---------------+
| Name | Start_Time | End_Time | Frequency_Hours | Duration_Mins |
+------+------------+----------+-----------------+---------------+
| A    | 08:00:00   | 18:00:00 |               2 |             2 |
| B    | 00:00:00   | 23:59:59 |               1 |             5 |
| C    | 00:00:00   | 23:59:59 |               4 |            15 |
+------+------------+----------+-----------------+---------------+

可以使用以下查询创建:

Can be created using the following query:

DECLARE @Tmp AS TABLE(Name VARCHAR(128)
                     ,Start_Time VARCHAR(8)
                     ,End_Time VARCHAR(8)
                     ,Frequency_Hours INT
                     ,Duration_Mins INT)

INSERT INTO @Tmp VALUES ('A','08:00:00', '18:00:00', 2,2)
                       ,('B','00:00:00', '23:59:59', 1,5)
                       ,('C','00:00:00', '23:59:59', 4,15)

这是我想要的输出(然后我将使用它来驱动甘特图可视化):

Here is my desired output (I will then use this to drive a gantt chart visualisation):

+------+------------+----------+
| Name | Start_Time | End_Time |
+------+------------+----------+
| A    | 08:00:00   | 08:02:00 |
| A    | 10:00:00   | 10:02:00 |
| A    | 12:00:00   | 12:02:00 |
| A    | 14:00:00   | 14:02:00 |
| A    | 16:00:00   | 16:02:00 |
| A    | 18:00:00   | 18:02:00 |
| B    | 00:00:00   | 00:05:00 |
| B    | 01:00:00   | 01:05:00 |
| B    | 02:00:00   | 02:05:00 |
| B    | 03:00:00   | 03:05:00 |
| B    | 04:00:00   | 04:05:00 |
| B    | 05:00:00   | 05:05:00 |
| B    | 06:00:00   | 06:05:00 |
| B    | 07:00:00   | 07:05:00 |
| B    | 08:00:00   | 08:05:00 |
| B    | 09:00:00   | 09:05:00 |
| B    | 10:00:00   | 10:05:00 |
| B    | 11:00:00   | 11:05:00 |
| B    | 12:00:00   | 12:05:00 |
| B    | 13:00:00   | 13:05:00 |
| B    | 14:00:00   | 14:05:00 |
| B    | 15:00:00   | 15:05:00 |
| B    | 16:00:00   | 16:05:00 |
| B    | 17:00:00   | 17:05:00 |
| B    | 18:00:00   | 18:05:00 |
| B    | 19:00:00   | 19:05:00 |
| B    | 20:00:00   | 20:05:00 |
| B    | 21:00:00   | 21:05:00 |
| B    | 22:00:00   | 22:05:00 |
| B    | 23:00:00   | 23:05:00 |
| C    | 00:00:00   | 00:15:00 |
| C    | 04:00:00   | 04:15:00 |
| C    | 08:00:00   | 08:15:00 |
| C    | 12:00:00   | 12:15:00 |
| C    | 16:00:00   | 16:15:00 |
| C    | 20:00:00   | 20:15:00 |
+------+------------+----------+

我希望能够从中创建一个视图，因此我尝试在没有游标或其他 CPU 密集型方法的情况下进行.

I am hoping to be able to create a view out of this so I am trying to do it without cursors or other cpu intensive methods.

有什么想法吗?

谢谢，

丹.

推荐答案

它也可以在没有 RECURSIIVE CTE 的情况下完成.

It can be done without RECURSIIVE CTE also.

如果我们创建数字而不是使用选择不同的数字 master..spt_values 那么性能会好很多.

If we create number instead of using select distinct number master..spt_values then performance will be far better.

Like Number 表可以填充从 1 到 100.

Like Number table can be populated from 1 to 100.

用各种样本数据试试这个，

try this with various sample data,

declare @t table(Name varchar(20), Start_Time time(0),End_Time time(0)
, Frequency_Hours int,Duration_Mins int)
insert into @t VALUES
 ('A','08:00:00','18:00:00', 2 , 2 )
,('B','00:00:00','23:59:59', 1 , 5 )
,('C','00:00:00','23:59:59', 4 ,15 )

SELECT NAME
    ,dateadd(hour, n, Start_Time) Start_Time
    ,dateadd(minute, Duration_Mins, (dateadd(hour, n, Start_Time))) End_Time
FROM @t t
CROSS APPLY (
    SELECT DISTINCT number * Frequency_Hours n
    FROM master..spt_values
    WHERE number >= 0
        AND number <= datediff(HOUR, t.Start_Time, t.End_Time) / Frequency_Hours
    ) ca

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