如何使用 ROW_NUMBER() 只计算不同值？

Question

我有这个 SQL 查询：

SELECT 
    sg.rolesID, 
    count# = ROW_NUMBER() OVER (ORDER BY sg.rolesContainerID),
    sg.rolesContainerID,
    eventTimeStamp AS timeStarted, 
    eventTimeStamp AS timeFinished
FROM 
    view_SecurityGroup sg 
WHERE 
    sg.rolesID = '22400ab8-62a2-4a69-b002-5dd4d0459728'
ORDER BY 
    sg.rolesContainerID, timeStarted, timeFinished DESC

结果如下：

rolesID                                 count#      rolesContainerID                        timeStarted                     timeFinished        
----------------------------------------------------------------------------------------------------------------------------------------------------
22400AB8-62A2-4A69-B002-5DD4D0459728     1          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:50.583         2023-02-27 14:26:50.583     
22400AB8-62A2-4A69-B002-5DD4D0459728     2          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:50.587         2023-02-27 14:26:50.587     
22400AB8-62A2-4A69-B002-5DD4D0459728     3          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:58.420         2023-02-27 14:26:58.420     
22400AB8-62A2-4A69-B002-5DD4D0459728     4          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:41:02.540         2023-02-28 15:41:02.540     
22400AB8-62A2-4A69-B002-5DD4D0459728     5          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:42:51.540         2023-02-28 15:42:51.540     
22400AB8-62A2-4A69-B002-5DD4D0459728     6          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:44:27.560         2023-02-28 15:44:27.560     
22400AB8-62A2-4A69-B002-5DD4D0459728     7          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 13:59:03.343         2022-11-04 13:59:03.343     
22400AB8-62A2-4A69-B002-5DD4D0459728     8          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 13:59:03.347         2022-11-04 13:59:03.347     
22400AB8-62A2-4A69-B002-5DD4D0459728     9          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 14:05:49.133         2022-11-04 14:05:49.133     
22400AB8-62A2-4A69-B002-5DD4D0459728     10         229105A8-2713-44FE-B0D0-0FF09F54E905    2023-02-27 00:28:58.840         2023-02-27 00:28:58.840     
22400AB8-62A2-4A69-B002-5DD4D0459728     11         229105A8-2713-44FE-B0D0-0FF09F54E905    2023-02-27 00:29:48.513         2023-02-27 00:29:48.513     

但我希望

count#

仅针对每个角色ContainerID 递增......如下所示：

rolesID                                 count#      rolesContainerID                        timeStarted                     timeFinished        
----------------------------------------------------------------------------------------------------------------------------------------------------
22400AB8-62A2-4A69-B002-5DD4D0459728     1          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:50.583         2023-02-27 14:26:50.583     
22400AB8-62A2-4A69-B002-5DD4D0459728     1          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:50.587         2023-02-27 14:26:50.587     
22400AB8-62A2-4A69-B002-5DD4D0459728     1          153F36C8-6FB5-4B50-A2D7-000209C96663    2023-02-27 14:26:58.420         2023-02-27 14:26:58.420     
22400AB8-62A2-4A69-B002-5DD4D0459728     2          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:41:02.540         2023-02-28 15:41:02.540     
22400AB8-62A2-4A69-B002-5DD4D0459728     2          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:42:51.540         2023-02-28 15:42:51.540     
22400AB8-62A2-4A69-B002-5DD4D0459728     2          790E699D-1BDE-4CCA-B6A6-013696B81774    2023-02-28 15:44:27.560         2023-02-28 15:44:27.560     
22400AB8-62A2-4A69-B002-5DD4D0459728     3          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 13:59:03.343         2022-11-04 13:59:03.343     
22400AB8-62A2-4A69-B002-5DD4D0459728     3          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 13:59:03.347         2022-11-04 13:59:03.347     
22400AB8-62A2-4A69-B002-5DD4D0459728     3          223C4704-2B04-404D-991A-04B408C6CA93    2022-11-04 14:05:49.133         2022-11-04 14:05:49.133     
22400AB8-62A2-4A69-B002-5DD4D0459728     4          229105A8-2713-44FE-B0D0-0FF09F54E905    2023-02-27 00:28:58.840         2023-02-27 00:28:58.840     
22400AB8-62A2-4A69-B002-5DD4D0459728     4          229105A8-2713-44FE-B0D0-0FF09F54E905    2023-02-27 00:29:48.513         2023-02-27 00:29:48.513     

有没有办法在 SQL Server 中做到这一点？

谢谢！

Answer 1

 count# = DENSE_RANK() OVER (ORDER BY sg.rolesContainerID),

或

 DENSE_RANK() OVER (ORDER BY sg.rolesContainerID) AS count#,

Answer 2

霍根的答案是正确的，那就完美了。

我只是认为您可能会感兴趣看到从此文档页面中提取的此查询。

SELECT p.FirstName, p.LastName  
    ,ROW_NUMBER() OVER (ORDER BY a.PostalCode) AS "Row Number"  
    ,RANK() OVER (ORDER BY a.PostalCode) AS Rank  
    ,DENSE_RANK() OVER (ORDER BY a.PostalCode) AS "Dense Rank"  
    ,NTILE(4) OVER (ORDER BY a.PostalCode) AS Quartile  
    ,s.SalesYTD  
    ,a.PostalCode  
FROM Sales.SalesPerson AS s   
    INNER JOIN Person.Person AS p   
        ON s.BusinessEntityID = p.BusinessEntityID  
    INNER JOIN Person.Address AS a   
        ON a.AddressID = p.BusinessEntityID  
WHERE TerritoryID IS NOT NULL AND SalesYTD <> 0;

名字	姓氏	行号	排名	密集排名	四分位	年初至今销售额	邮政编码
迈克尔	布莱斯	1	1	1	1	3763178.1787	98027
琳达	米切尔	2	1	1	1	4251368.5497	98027
吉莉安	卡森	3	1	1	1	3189418.3662	98027
加勒特	巴尔加斯	4	1	1	1	1453719.4653	98027
茨维	瑞特	5	1	1	2	2315185.6110	98027
帕梅拉	安斯曼-沃尔夫	6	1	1	2	1352577.1325	98027
舒	伊藤	7	7	2	2	2458535.6169	98055
何塞	萨莱瓦	8	7	2	2	2604540.7172	98055
大卫	坎贝尔	9	7	2	3	1573012.9383	98055
太特	门萨-安南	10	7	2	3	1576562.1966	98055
林恩	索菲利亚斯	11	7	2	3	1421810.9242	98055
雷切尔	瓦尔迪兹	12	7	2	4	1827066.7118	98055
杰	朴	13	7	2	4	4116871.2277	98055
兰吉特	瓦尔基楚杜卡提尔	14	7	2	4	3121616.3202	98055

小提琴

在示例中，它们展示了不同排名窗口函数如何在同一查询中使用所有这些函数来工作，因此您可以清楚地看到并理解它们之间的差异。