我有一个看起来像这样的数据库表(我已经删除了不相关的字段)
[dbo].[UserMessage]
(
[OwnerUserId] [int] NOT NULL,
[FromUserId] [int] NOT NULL,
[ToUserId] [int] NOT NULL,
[CreationDateTime] [datetime2](7) NOT NULL
)
在这张表中,我有以下数据
OwnerUserId FromUserId ToUserId CreationDateTime
13 13 15 2013-06-26 13:58:01.0270000
15 13 15 2013-06-26 13:58:24.0770000
13 15 13 2013-06-26 14:08:58.0070000
15 15 13 2013-06-26 14:08:43.8570000
13 13 15 2013-06-26 14:09:15.1030000
15 13 15 2013-06-26 14:09:26.2000000
13 15 13 2013-06-26 14:09:47.0030000
15 15 13 2013-06-26 14:09:38.1330000
13 13 16 2013-06-26 14:20:27.5170000
16 13 16 2013-06-26 14:20:41.0130000
我想要的是一个 sql 查询,它为不同用户之间的粒子所有者返回最新的不同消息。因此,如果我想要 OwnerUserId = 13 的所有对话,我希望返回的结果是
OwnerUserId FromUserId ToUserId CreationDateTime
13 13 16 2013-06-26 14:20:27.5170000
13 15 13 2013-06-26 14:09:47.0030000
如果我想要 OwnerUserId = 15 的所有对话,我希望返回的结果是
OwnerUserId FromUserId ToUserId CreationDateTime
15 15 13 2013-06-26 14:09:38.1330000
如果我想要 OwnerUserId = 16 的所有对话,我希望返回的结果是
OwnerUserId FromUserId ToUserId CreationDateTime
16 13 16 2013-06-26 14:20:41.0130000
我为 [OwnerUserId] = 13 创建了一个如下所示的查询
WITH cte AS
(
SELECT *, ROW_NUMBER() OVER (PARTITION BY OwnerUserId, fromUserId, ToUserId ORDER BY CreationDateTime DESC) AS rn
FROM [UserMessage]
)
SELECT *
FROM cte
WHERE rn = 1
and [OwnerUserId] = 13;
但是这个查询返回
OwnerUserId FromUserId ToUserId CreationDateTime rn
13 13 15 2013-06-26 14:09:15.1030000 1
13 13 16 2013-06-26 14:20:27.5170000 1
13 15 13 2013-06-26 14:09:47.0030000 1
我不希望返回第一行,因为最后一行已经代表相同的对话(尽管 FromUserID 和 ToUserId 是相反的)。有任何想法吗?该解决方案适用于任何 [OwnerUserId](我以 13 为例)
!!!!!!!!!!!!!!!!回答!!!!!!!!!!!!!!
WITH cte AS
(
SELECT *,
ROW_NUMBER() OVER
(
PARTITION BY OwnerUserId,
CHECKSUM(CASE WHEN ToUserId > fromUserId THEN (convert(varchar(256),ToUserId) + ':' + convert(varchar(256),fromUserId)) ELSE (convert(varchar(256),fromUserId) + ':' + convert(varchar(256),ToUserId)) END)
ORDER BY CreationDateTime desc
) AS rn
FROM [UserMessage]
)
SELECT *
FROM cte
WHERE rn = 1
and [OwnerUserId] = 13;
我通过在查询分区中使用校验和得出了解决方案。基本上我结合 fromUserId 和 toUserId 来为对话创建一个唯一标识符。通过对 OwnerUserId 和新标识符进行分区,我可以将对话分组在一起。