我有一个表,我想获得每组的最新条目。下面是表格:

DocumentStatusLogs表

|ID| DocumentID | Status | DateCreated |
| 2| 1          | S1     | 7/29/2011   |
| 3| 1          | S2     | 7/30/2011   |
| 6| 1          | S1     | 8/02/2011   |
| 1| 2          | S1     | 7/28/2011   |
| 4| 2          | S2     | 7/30/2011   |
| 5| 2          | S3     | 8/01/2011   |
| 6| 3          | S1     | 8/02/2011   |

该表将按documententid分组,并按DateCreated降序排序。对于每个documententid,我希望获得最新的状态。

我的首选输出:

| DocumentID | Status | DateCreated |
| 1          | S1     | 8/02/2011   |
| 2          | S3     | 8/01/2011   |
| 3          | S1     | 8/02/2011   |

Is there any aggregate function to get only the top from each group? See pseudo-code GetOnlyTheTop below: SELECT DocumentID, GetOnlyTheTop(Status), GetOnlyTheTop(DateCreated) FROM DocumentStatusLogs GROUP BY DocumentID ORDER BY DateCreated DESC If such function doesn't exist, is there any way I can achieve the output I want? Or at the first place, could this be caused by unnormalized database? I'm thinking, since what I'm looking for is just one row, should that status also be located in the parent table?

更多信息请参见父表:

当前文档表

| DocumentID | Title  | Content  | DateCreated |
| 1          | TitleA | ...      | ...         |
| 2          | TitleB | ...      | ...         |
| 3          | TitleC | ...      | ...         |

父表应该是这样的,以便我可以轻松地访问它的状态吗?

| DocumentID | Title  | Content  | DateCreated | CurrentStatus |
| 1          | TitleA | ...      | ...         | s1            |
| 2          | TitleB | ...      | ...         | s3            |
| 3          | TitleC | ...      | ...         | s1            |

更新 我刚刚学会了如何使用“apply”,它可以更容易地解决这类问题。


当前回答

一些数据库引擎*开始支持允许过滤窗口函数结果的qualifier子句(接受的答案使用该子句)。

所以公认的答案可以变成

SELECT *, ROW_NUMBER() OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC) AS rn
FROM DocumentStatusLogs
QUALIFY rn = 1

查看这篇文章以获得更深入的解释:https://jrandrews.net/the-joy-of-qualify

您可以使用此工具查看哪个数据库支持此子句:https://www.jooq.org/translate/ 当目标方言不支持qualifier子句时,可以选择转换它。

*Teradata, BigQuery, H2, Snowflake…

其他回答

这里有3种不同的方法来解决这个问题,以及为每个查询建立索引的最佳选择(请自己尝试索引,并查看逻辑读取、消耗时间和执行计划。我根据自己的经验提供了关于此类查询的建议,但没有针对这个特定问题执行)。

方法1:使用ROW_NUMBER()。如果rowstore索引不能提高性能,对于具有聚合和分组的查询以及始终按不同列排序的表,可以尝试使用非聚集/聚集的columnstore索引,columnstore索引通常是最佳选择。

;WITH CTE AS
    (
       SELECT   *,
                RN = ROW_NUMBER() OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC)
       FROM     DocumentStatusLogs
    )
    SELECT  ID      
        ,DocumentID 
        ,Status     
        ,DateCreated
    FROM    CTE
    WHERE   RN = 1;

方法2:使用FIRST_VALUE。如果rowstore索引不能提高性能,对于具有聚合和分组的查询以及始终按不同列排序的表,可以尝试使用非聚集/聚集的columnstore索引,columnstore索引通常是最佳选择。

SELECT  DISTINCT
    ID      = FIRST_VALUE(ID) OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC)
    ,DocumentID
    ,Status     = FIRST_VALUE(Status) OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC)
    ,DateCreated    = FIRST_VALUE(DateCreated) OVER (PARTITION BY DocumentID ORDER BY DateCreated DESC)
FROM    DocumentStatusLogs;

方法3:使用CROSS APPLY。在DocumentStatusLogs表上创建涵盖查询中使用的列的行存储索引应该足以覆盖查询,而不需要columnstore索引。

SELECT  DISTINCT
    ID      = CA.ID
    ,DocumentID = D.DocumentID
    ,Status     = CA.Status 
    ,DateCreated    = CA.DateCreated
FROM    DocumentStatusLogs D
    CROSS APPLY (
            SELECT  TOP 1 I.*
            FROM    DocumentStatusLogs I
            WHERE   I.DocumentID = D.DocumentID
            ORDER   BY I.DateCreated DESC
            ) CA;

CROSS APPLY是我在解决方案中使用的方法,因为它对我和客户的需求都有效。从我所读到的,应该提供最好的整体性能,如果他们的数据库大幅增长。

在你想避免使用row_count()的场景中,你也可以使用左连接:

select ds.DocumentID, ds.Status, ds.DateCreated 
from DocumentStatusLogs ds
left join DocumentStatusLogs filter 
    ON ds.DocumentID = filter.DocumentID
    -- Match any row that has another row that was created after it.
    AND ds.DateCreated < filter.DateCreated
-- then filter out any rows that matched 
where filter.DocumentID is null 

对于示例模式,你也可以使用"not in subquery",它通常编译到与左连接相同的输出:

select ds.DocumentID, ds.Status, ds.DateCreated 
from DocumentStatusLogs ds
WHERE ds.ID NOT IN (
    SELECT filter.ID 
    FROM DocumentStatusLogs filter
    WHERE ds.DocumentID = filter.DocumentID
        AND ds.DateCreated < filter.DateCreated)

注意,如果表没有至少一个单列唯一键/约束/索引(在本例中是主键“Id”),那么子查询模式将无法工作。

这两个查询往往比row_count()查询(由query Analyzer衡量)更“昂贵”。但是,您可能会遇到它们更快地返回结果或启用其他优化的情况。

如果你担心性能问题,你也可以用MAX()这样做:

SELECT *
FROM DocumentStatusLogs D
WHERE DateCreated = (SELECT MAX(DateCreated) FROM DocumentStatusLogs WHERE ID = D.ID)

ROW_NUMBER()要求对SELECT语句中的所有行进行排序,而MAX则不需要。应该会大大加快你的查询速度。

试试这个:

SELECT [DocumentID]
    ,[tmpRez].value('/x[2]', 'varchar(20)') AS [Status]
    ,[tmpRez].value('/x[3]', 'datetime') AS [DateCreated]
FROM (
    SELECT [DocumentID]
        ,cast('<x>' + max(cast([ID] AS VARCHAR(10)) + '</x><x>' + [Status] + '</x><x>' + cast([DateCreated] AS VARCHAR(20))) + '</x>' AS XML) AS [tmpRez]
    FROM DocumentStatusLogs
    GROUP BY DocumentID
    ) AS [tmpQry]