Sql server 如何查找状态更新以及更新者_Sql Server_Set Based

Sql server 如何查找状态更新以及更新者

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Sql server 如何查找状态更新以及更新者,sql-server,set-based,Sql Server,Set Based,我正在处理一个大型SQL表，186列，257899行，并且正在计数。每当主数据中的某些内容发生更改时，就会将其添加到。这是shadow表的一部分，它允许我们查看不同字段的审核历史记录我需要做的是看看谁更新了，何时更新，以及更新的特定顺序。我需要找到任何时候有3个用户更新了主表去比尔=>活动账单=>没有账单活动=>正在进行中我需要收集的是正在切换的状态及其切换到的内容（从列表中）（上图）从下面的3个用户列表中进行更新的用户的名称更新的日期时间索赔编号我正在寻找的用户无法提

我正在处理一个大型SQL表，186列，257899行，并且正在计数。每当主数据中的某些内容发生更改时，就会将其添加到。这是

shadow

表的一部分，它允许我们查看不同字段的审核历史记录

我需要做的是看看谁更新了，何时更新，以及更新的特定顺序。我需要找到任何时候有3个用户更新了主表去

比尔=>活动
账单=>没有账单
活动=>正在进行中

我需要收集的是

正在切换的状态及其切换到的内容（从列表中）（上图）

从下面的3个用户列表中进行更新的用户的名称

更新的日期时间

索赔编号

我正在寻找的用户无法提供他们的姓名，因此我们将使用：

用户1
用户2
用户3

我最近学习了如何在SQL中以基于集合的方式进行操作，但我还不能完全理解这一点。我知道我可以在表中循环查找各个用户的任何更新，然后循环查找这些更新，以查找是否有符合上述标准的更新，但我知道与基于集合的批准相比，这将是缓慢的

我刚刚开始研究这个问题，所以我还没有任何代码，但我会在尝试不同的事情时更新这个问题

我只是不知道如何着手解决如何使它成为一个基于集合的问题

更新

以下是一些示例数据的外观：

创建

#TestingData

作为数据表，创建

#TestingTable

作为阴影表，然后填充样本数据

create table #TestingTable(Id int,SMState varchar(50),UpdatedBy varchar(50),UpdatedOn datetime,cd_ClaimNumber varchar(50))

create table #TestingData(Id int,SMState varchar(50),UpdatedBy varchar(50),UpdatedOn datetime,cd_ClaimNumber varchar(50))

insert into #TestingData([Id],[UpdatedBy],[UpdatedOn],[cd_ClaimNumber],SMState)
Values  (1,'John Doe','2015-10-25 12:00:00',208692,'Bill'),
        (2,'John Doe','2015-10-25 12:00:00',297983,'Bill'),
        (3,'John Doe','2015-10-25 13:00:00',697920,'Bill'),        
        (4,'John Doe','2015-10-25 12:00:00',992196,'Bill')

INSERT INTO #TestingTable([Id],[UpdatedBy],[UpdatedOn],[cd_ClaimNumber],SMState) 
VALUES
      (1,'John Jones','2015-10-24 13:00:00',208692,'No Bill'),
      (2,'John Jones','2015-10-24 12:00:00',208692,'Bill'),
      (3,'John Jones','2015-10-23 12:00:00',208692,'In Progress'),
      (4,'John Jones','2015-10-22 16:00:00',208692,'Active'),
      (5,'John Jones','2015-10-22 14:00:00',208692,'No Bill'),
      (6,'John Jones','2015-10-22 12:00:00',208692,'Bill'),
      (7,'John Jones','2015-10-24 12:00:00',297983,'Bill'),
      (8,'John Jones','2015-10-23 14:00:00',297983,'Active'),
      (9,'John Jones','2015-10-23 13:00:00',297983,'In Progress'),
      (10,'John Jones','2015-10-23 12:00:00',297983,'Active'),
      (11,'John Jones','2015-10-22 12:00:00',297983,'Bill'),
      (12,'Jeffery Sampson','2015-10-24 13:00:00',697920,'No Bill'),
      (13,'Jeffery Sampson','2015-10-24 12:00:00',697920,'Bill'),
      (14,'Jeffery Sampson','2015-10-23 12:00:00',697920,'In Progress'),
      (15,'Jeffery Sampson','2015-10-22 16:00:00',697920,'Active'),
      (16,'Jeffery Sampson','2015-10-22 14:00:00',697920,'No Bill'),
      (17,'Jeffery Sampson','2015-10-22 12:00:00',697920,'Bill'),
      (18,'Jeffery Sampson','2015-10-24 12:00:00',992196,'Bill'),
      (19,'Jeffery Sampson','2015-10-23 14:00:00',992196,'Active'),
      (20,'Jeffery Sampson','2015-10-23 13:00:00',992196,'In Progress'),
      (21,'Jeffery Sampson','2015-10-23 12:00:00',992196,'Active'),
      (22,'Jeffery Sampson','2015-10-22 12:00:00',992196,'Bill')

下面是使用上述数据时阴影表的外观：

+----+-------------+-----------------+---------------------+----------------+
| Id |   SMState   |    UpdatedBy    |      UpdatedOn      | cd_ClaimNumber |
+----+-------------+-----------------+---------------------+----------------+
|  1 | No Bill     | John Jones      | 24.10.2015 13:00:00 |         208692 |
|  2 | Bill        | John Jones      | 24.10.2015 12:00:00 |         208692 |
|  3 | In Progress | John Jones      | 23.10.2015 12:00:00 |         208692 |
|  4 | Active      | John Jones      | 22.10.2015 16:00:00 |         208692 |
|  5 | No Bill     | John Jones      | 22.10.2015 14:00:00 |         208692 |
|  6 | Bill        | John Jones      | 22.10.2015 12:00:00 |         208692 |
|  7 | Bill        | John Jones      | 24.10.2015 12:00:00 |         297983 |
|  8 | Active      | John Jones      | 23.10.2015 14:00:00 |         297983 |
|  9 | In Progress | John Jones      | 23.10.2015 13:00:00 |         297983 |
| 10 | Active      | John Jones      | 23.10.2015 12:00:00 |         297983 |
| 11 | Bill        | John Jones      | 22.10.2015 12:00:00 |         297983 |
| 12 | No Bill     | Jeffery Sampson | 24.10.2015 13:00:00 |         697920 |
| 13 | Bill        | Jeffery Sampson | 24.10.2015 12:00:00 |         697920 |
| 14 | In Progress | Jeffery Sampson | 23.10.2015 12:00:00 |         697920 |
| 15 | Active      | Jeffery Sampson | 22.10.2015 16:00:00 |         697920 |
| 16 | No Bill     | Jeffery Sampson | 22.10.2015 14:00:00 |         697920 |
| 17 | Bill        | Jeffery Sampson | 22.10.2015 12:00:00 |         697920 |
| 18 | Bill        | Jeffery Sampson | 24.10.2015 12:00:00 |         992196 |
| 19 | Active      | Jeffery Sampson | 23.10.2015 14:00:00 |         992196 |
| 20 | In Progress | Jeffery Sampson | 23.10.2015 13:00:00 |         992196 |
| 21 | Active      | Jeffery Sampson | 23.10.2015 12:00:00 |         992196 |
| 22 | Bill        | Jeffery Sampson | 22.10.2015 12:00:00 |         992196 |
+----+-------------+-----------------+---------------------+----------------+

+----+---------+-----------+---------------------+----------------+
| Id | SMState | UpdatedBy |      UpdatedOn      | cd_ClaimNumber |
+----+---------+-----------+---------------------+----------------+
|  1 | Bill    | John Doe  | 25.10.2015 12:00:00 |         208692 |
|  2 | Bill    | John Doe  | 25.10.2015 12:00:00 |         297983 |
|  3 | Bill    | John Doe  | 25.10.2015 13:00:00 |         697920 |
|  4 | Bill    | John Doe  | 25.10.2015 12:00:00 |         992196 |
+----+---------+-----------+---------------------+----------------+

以下是使用上述数据时数据表的外观：

+----+-------------+-----------------+---------------------+----------------+
| Id |   SMState   |    UpdatedBy    |      UpdatedOn      | cd_ClaimNumber |
+----+-------------+-----------------+---------------------+----------------+
|  1 | No Bill     | John Jones      | 24.10.2015 13:00:00 |         208692 |
|  2 | Bill        | John Jones      | 24.10.2015 12:00:00 |         208692 |
|  3 | In Progress | John Jones      | 23.10.2015 12:00:00 |         208692 |
|  4 | Active      | John Jones      | 22.10.2015 16:00:00 |         208692 |
|  5 | No Bill     | John Jones      | 22.10.2015 14:00:00 |         208692 |
|  6 | Bill        | John Jones      | 22.10.2015 12:00:00 |         208692 |
|  7 | Bill        | John Jones      | 24.10.2015 12:00:00 |         297983 |
|  8 | Active      | John Jones      | 23.10.2015 14:00:00 |         297983 |
|  9 | In Progress | John Jones      | 23.10.2015 13:00:00 |         297983 |
| 10 | Active      | John Jones      | 23.10.2015 12:00:00 |         297983 |
| 11 | Bill        | John Jones      | 22.10.2015 12:00:00 |         297983 |
| 12 | No Bill     | Jeffery Sampson | 24.10.2015 13:00:00 |         697920 |
| 13 | Bill        | Jeffery Sampson | 24.10.2015 12:00:00 |         697920 |
| 14 | In Progress | Jeffery Sampson | 23.10.2015 12:00:00 |         697920 |
| 15 | Active      | Jeffery Sampson | 22.10.2015 16:00:00 |         697920 |
| 16 | No Bill     | Jeffery Sampson | 22.10.2015 14:00:00 |         697920 |
| 17 | Bill        | Jeffery Sampson | 22.10.2015 12:00:00 |         697920 |
| 18 | Bill        | Jeffery Sampson | 24.10.2015 12:00:00 |         992196 |
| 19 | Active      | Jeffery Sampson | 23.10.2015 14:00:00 |         992196 |
| 20 | In Progress | Jeffery Sampson | 23.10.2015 13:00:00 |         992196 |
| 21 | Active      | Jeffery Sampson | 23.10.2015 12:00:00 |         992196 |
| 22 | Bill        | Jeffery Sampson | 22.10.2015 12:00:00 |         992196 |
+----+-------------+-----------------+---------------------+----------------+

+----+---------+-----------+---------------------+----------------+
| Id | SMState | UpdatedBy |      UpdatedOn      | cd_ClaimNumber |
+----+---------+-----------+---------------------+----------------+
|  1 | Bill    | John Doe  | 25.10.2015 12:00:00 |         208692 |
|  2 | Bill    | John Doe  | 25.10.2015 12:00:00 |         297983 |
|  3 | Bill    | John Doe  | 25.10.2015 13:00:00 |         697920 |
|  4 | Bill    | John Doe  | 25.10.2015 12:00:00 |         992196 |
+----+---------+-----------+---------------------+----------------+

我想要的最终结果是这样的：

+---------------+-----------+-----------------+---------------------+-------------+
| CurrentStatus | OldStatus |    UpdatedBy    |      UpdateOn       | ClaimNumber |
+---------------+-----------+-----------------+---------------------+-------------+
| No Bill       | Bill      | John Jones      | 22.10.2015 14:00:00 |      208692 |
| In Progress   | Active    | John Jones      | 23.10.2015 12:00:00 |      208692 |
| No Bill       | Bill      | John Jones      | 24.10.2015 13:00:00 |      208692 |
| Active        | Bill      | John Jones      | 23.10.2015 12:00:00 |      297983 |
| In Progress   | Active    | John Jones      | 23.10.2015 13:00:00 |      297983 |
| No Bill       | Bill      | Jeffery Sampson | 22.10.2015 14:00:00 |      697920 |
| In Progress   | Active    | Jeffery Sampson | 23.10.2015 12:00:00 |      697920 |
| No Bill       | Bill      | Jeffery Sampson | 24.10.2015 13:00:00 |      697920 |
| Active        | Bill      | Jeffery Sampson | 23.10.2015 12:00:00 |      992196 |
| In Progress   | Active    | Jeffery Sampson | 23.10.2015 13:00:00 |      992196 |
+---------------+-----------+-----------------+---------------------+-------------+

以下是我尝试过的：

with Test_1 as
( select ROW_NUMBER() over(order by pdr.cd_ClaimNumber,pdr.UpdatedOn) as RowID,* from #TestingTable pdr)
select t1.cd_ClaimNumber,t1.UpdatedOn, t1.SMState OldStatus, t2.SMState NewStatus, t1.UpdatedBy
from Test_1 t1
join Test_1 t2 on t2.RowID = t1.RowID + 1
where t1.cd_ClaimNumber = t2.cd_ClaimNumber
    and t1.SMState != t2.SMState
order by t1.cd_ClaimNumber,t2.UpdatedOn

这给了我一个结果：

+----------------+---------------------+-------------+-------------+-----------------+
| cd_ClaimNumber |      UpdatedOn      |  OldStatus  |  NewStatus  |    UpdatedBy    |
+----------------+---------------------+-------------+-------------+-----------------+
|         208692 | 22.10.2015 12:00:00 | Bill        | No Bill     | John Jones      |
|         208692 | 22.10.2015 14:00:00 | No Bill     | Active      | John Jones      |
|         208692 | 22.10.2015 16:00:00 | Active      | In Progress | John Jones      |
|         208692 | 23.10.2015 12:00:00 | In Progress | Bill        | John Jones      |
|         208692 | 24.10.2015 12:00:00 | Bill        | No Bill     | John Jones      |
|         297983 | 22.10.2015 12:00:00 | Bill        | Active      | John Jones      |
|         297983 | 23.10.2015 12:00:00 | Active      | In Progress | John Jones      |
|         297983 | 23.10.2015 13:00:00 | In Progress | Active      | John Jones      |
|         297983 | 23.10.2015 14:00:00 | Active      | Bill        | John Jones      |
|         697920 | 22.10.2015 12:00:00 | Bill        | No Bill     | Jeffery Sampson |
|         697920 | 22.10.2015 14:00:00 | No Bill     | Active      | Jeffery Sampson |
|         697920 | 22.10.2015 16:00:00 | Active      | In Progress | Jeffery Sampson |
|         697920 | 23.10.2015 12:00:00 | In Progress | Bill        | Jeffery Sampson |
|         697920 | 24.10.2015 12:00:00 | Bill        | No Bill     | Jeffery Sampson |
|         992196 | 22.10.2015 12:00:00 | Bill        | Active      | Jeffery Sampson |
|         992196 | 23.10.2015 12:00:00 | Active      | In Progress | Jeffery Sampson |
|         992196 | 23.10.2015 13:00:00 | In Progress | Active      | Jeffery Sampson |
|         992196 | 23.10.2015 14:00:00 | Active      | Bill        | Jeffery Sampson |
+----------------+---------------------+-------------+-------------+-----------------+

这不太管用。它得到了所有的改变，不仅仅是我想要的。我是基于

的，如果您的审计表中有适当的列，那么我认为它是一个非常简单的查询。当然，我希望claimnumber不会包括在这里，但会有一些原始数据的参考，然后它将是简单的连接。但根据审计表的结构，可能还有更多内容

SELECT old, new, who, when, claimnumber

FROM table

WHERE (    (old = 'Bill' AND new = 'Active') 
        OR (old = 'Bill' AND new = 'No Bill')
        OR (old = 'Active' AND new = 'In Progress')) 
      AND user IN ('User1','User2','User3')

 ORDER BY when

另一个故事是要有支持这个查询的索引

若审计表只包含一个包含主记录状态的字段，则这可能是另一个版本

create table audit ([status] nvarchar(20), [user] nvarchar(20), [date] date, [claimnumber] int)
insert into audit values 
('Bill', 'User5', '2017-05-01', 001),
('Bill', 'User4', '2017-05-03', 005),
('Active', 'User2', '2017-05-05', 001),
('No Bill', 'User3', '2017-05-10', 005),
('In Progress', 'User1', '2017-05-08', 001)


SELECT * FROM (
SELECT LAG([status]) OVER (PARTITION BY [claimnumber] ORDER BY [claimnumber], [date]) as oldstatus, *
FROM audit
) AS A
WHERE [user] IN ('User1','User2','User3') AND 
      (([oldstatus]='Bill' AND [status] = 'Active')
       OR ([oldstatus]='Bill' AND [status] = 'No Bill')
       OR ([oldstatus]='Active' AND [status] = 'In Progress'))
ORDER BY [claimnumber], [date]

结果

oldstatus   status      user    date                 claimnumber
Bill        Active      User2   05.05.2017 00:00:00  1
Active      In Progress User1   08.05.2017 00:00:00  1
Bill        No Bill     User3   10.05.2017 00:00:00  5

样本数据和预期输出？您现在肯定知道我们需要一些细节来帮助。表定义、示例数据、所需输出。这甚至不是一个问题。这是一个很好的开始，使这合理。如果需要Sean的意大利面链接，这里也需要。对不起，我应该在发布之前花更多的时间准备。我正在使用rextester.com创建一个示例数据集。我会很快准备好的。请确保你也把问题本身所需的细节，为那些没有打开链接的人。