希望有人可以提供帮助。我使用的是SQL Server 2008，兼容性级别为100，因此无法使用超前/滞后功能。
我要实现的目标是基于TRAN_ID和INTERACTION中的更改创建sub_task_id。所有数据均按Tran_ID，Task_ID和Interaction_DateTime排序
对于每个新的TRAN_ID，每个SUB_TASK都将从1开始，并且在详细说明新的“打开”交互之前，它将保持不变，并以1递增。
我已经用所需的结果预填充了SUB_TASK。不确定从哪里开始，将不胜感激。
-------------------------------------------------------------------------
TRAN_ID | TASK_ID | INTERACTION | INTERACTION_DATETIME | SUB_TASK_ID
-------------------------------------------------------------------------
1234 | 1 | Open | 2018-01-04 18:02:18 | 1
1234 | 1 | Close | 2018-01-04 18:02:27 | 1
2234 | 11 | Open | 2018-01-03 09:04:33 | 1
2234 | 11 | Close | 2018-01-03 09:04:50 | 1
2234 | 11 | Open | 2018-01-04 09:05:29 | 2
2234 | 11 | Edit | 2018-01-04 09:06:42 | 2
2234 | 11 | Edit | 2018-01-04 09:07:33 | 2
2234 | 11 | Merge | 2018-01-04 09:09:21 | 2
2234 | 11 | Close | 2018-01-04 09:13:50 | 2
2234 | 11 | Open | 2018-01-05 11:14:34 | 3
2234 | 11 | Edit | 2018-01-05 11:16:49 | 3
2234 | 11 | Edit | 2018-01-05 11:21:21 | 3
2234 | 11 | Merge | 2018-01-05 11:55:33 | 3
2234 | 11 | Close | 2018-01-05 11:56:12 | 3
3242 | 13 | Open | 2018-01-03 15:47:22 | 1
3242 | 13 | Close | 2018-01-03 15:47:59 | 1
3242 | 13 | Open | 2018-01-19 09:38:09 | 2
3242 | 13 | Edit | 2018-01-19 09:39:10 | 2
3242 | 13 | Edit | 2018-01-19 09:42:12 | 2
3242 | 13 | Close | 2018-01-19 09:46:12 | 2
答案 0 :(得分：0)
这是您的选择。
基本上是根据INTERACTION ='Open'所决定的，基于TRAN_ID的运行总计，因为您说过：“对于每个新的TRAN_ID，每个SUB_TASK将从1开始，并且在详细描述新的'Open'交互之前，它将保持不变，它将增加1“
挑战是直到SQL Server 2012+才支持累积总和，因此我们必须使用外部应用：
带有数据的示例临时表：
CREATE TABLE #TestData
(
[TRAN_ID] INT
, [TASK_ID] INT
, [INTERACTION] NVARCHAR(10)
, [INTERACTION_DATETIME] DATETIME
);
INSERT INTO #TestData (
[TRAN_ID]
, [TASK_ID]
, [INTERACTION]
, [INTERACTION_DATETIME]
)
VALUES ( 1234, 1, 'Open', '2018-01-04 18:02:18' )
, ( 1234, 1, 'Close', '2018-01-04 18:02:27' )
, ( 2234, 11, 'Open', '2018-01-03 09:04:33' )
, ( 2234, 11, 'Close', '2018-01-03 09:04:50' )
, ( 2234, 11, 'Open', '2018-01-04 09:05:29' )
, ( 2234, 11, 'Edit', '2018-01-04 09:06:42' )
, ( 2234, 11, 'Edit', '2018-01-04 09:07:33' )
, ( 2234, 11, 'Merge', '2018-01-04 09:09:21' )
, ( 2234, 11, 'Close', '2018-01-04 09:13:50' )
, ( 2234, 11, 'Open', '2018-01-05 11:14:34' )
, ( 2234, 11, 'Edit', '2018-01-05 11:16:49' )
, ( 2234, 11, 'Edit', '2018-01-05 11:21:21' )
, ( 2234, 11, 'Merge', '2018-01-05 11:55:33' )
, ( 2234, 11, 'Close', '2018-01-05 11:56:12' )
, ( 3242, 13, 'Open', '2018-01-03 15:47:22' )
, ( 3242, 13, 'Close', '2018-01-03 15:47:59' )
, ( 3242, 13, 'Open', '2018-01-19 09:38:09' )
, ( 3242, 13, 'Edit', '2018-01-19 09:39:10' )
, ( 3242, 13, 'Edit', '2018-01-19 09:42:12' )
, ( 3242, 13, 'Close', '2018-01-19 09:46:12' );
然后，我们可以使用外部应用。对于INTERACTION_DATETIME小于或等于的TASK_ID，我们将基于等于“打开”的INTERACTION求和。这应该在2008年生效：
SELECT *
FROM [#TestData] [a]
OUTER APPLY (
SELECT SUM( CASE WHEN [b].[INTERACTION] = 'Open' THEN 1
ELSE 0
END
) AS [SUB_TASK_ID]
FROM [#TestData] [b]
WHERE [b].[TRAN_ID] = [a].[TRAN_ID]
AND [b].[INTERACTION_DATETIME] <= [a].[INTERACTION_DATETIME]
) [s]
ORDER BY [a].[TRAN_ID], [a].[INTERACTION_DATETIME]
为您提供所需的结果：
TRAN_ID TASK_ID INTERACTION INTERACTION_DATETIME SUB_TASK_ID
----------- ----------- ----------- ----------------------- -----------
1234 1 Open 2018-01-04 18:02:18.000 1
1234 1 Close 2018-01-04 18:02:27.000 1
2234 11 Open 2018-01-03 09:04:33.000 1
2234 11 Close 2018-01-03 09:04:50.000 1
2234 11 Open 2018-01-04 09:05:29.000 2
2234 11 Edit 2018-01-04 09:06:42.000 2
2234 11 Edit 2018-01-04 09:07:33.000 2
2234 11 Merge 2018-01-04 09:09:21.000 2
2234 11 Close 2018-01-04 09:13:50.000 2
2234 11 Open 2018-01-05 11:14:34.000 3
2234 11 Edit 2018-01-05 11:16:49.000 3
2234 11 Edit 2018-01-05 11:21:21.000 3
2234 11 Merge 2018-01-05 11:55:33.000 3
2234 11 Close 2018-01-05 11:56:12.000 3
3242 13 Open 2018-01-03 15:47:22.000 1
3242 13 Close 2018-01-03 15:47:59.000 1
3242 13 Open 2018-01-19 09:38:09.000 2
3242 13 Edit 2018-01-19 09:39:10.000 2
3242 13 Edit 2018-01-19 09:42:12.000 2
3242 13 Close 2018-01-19 09:46:12.000 2
对于2012+，您可以使用window功能完成所有这些操作。这就是您想要的样子。更干净，更轻松：
SELECT *
, SUM( CASE WHEN [INTERACTION] = 'Open' THEN 1
ELSE 0
END
) OVER ( PARTITION BY [TRAN_ID]
ORDER BY [TRAN_ID]
, [INTERACTION_DATETIME]
) AS [SUB_TASK_ID]
FROM [#TestData]
ORDER BY [TRAN_ID]
, [TASK_ID]
, [INTERACTION_DATETIME];