declare  @t table
    (
        id int,
        SomeNumt int
    )

insert into @t
select 1,10
union
select 2,12
union
select 3,3
union
select 4,15
union
select 5,23


select * from @t

上面的选择返回如下内容。

id  SomeNumt
1   10
2   12
3   3
4   15
5   23

我如何得到以下:

id  srome   CumSrome
1   10  10
2   12  22
3   3   25
4   15  40
5   23  63

当前回答

回答晚了,但显示了另一种可能性…

使用CROSS APPLY逻辑可以更好地优化累积和生成。

在分析实际的查询计划时,比INNER JOIN & OVER子句更好…

/* Create table & populate data */
IF OBJECT_ID('tempdb..#TMP') IS NOT NULL
DROP TABLE #TMP 

SELECT * INTO #TMP 
FROM (
SELECT 1 AS id
UNION 
SELECT 2 AS id
UNION 
SELECT 3 AS id
UNION 
SELECT 4 AS id
UNION 
SELECT 5 AS id
) Tab


/* Using CROSS APPLY 
Query cost relative to the batch 17%
*/    
SELECT   T1.id, 
         T2.CumSum 
FROM     #TMP T1 
         CROSS APPLY ( 
         SELECT   SUM(T2.id) AS CumSum 
         FROM     #TMP T2 
         WHERE    T1.id >= T2.id
         ) T2

/* Using INNER JOIN 
Query cost relative to the batch 46%
*/
SELECT   T1.id, 
         SUM(T2.id) CumSum
FROM     #TMP T1
         INNER JOIN #TMP T2
                 ON T1.id > = T2.id
GROUP BY T1.id

/* Using OVER clause
Query cost relative to the batch 37%
*/
SELECT   T1.id, 
         SUM(T1.id) OVER( PARTITION BY id)
FROM     #TMP T1

Output:-
  id       CumSum
-------   ------- 
   1         1
   2         3
   3         6
   4         10
   5         15

其他回答

Select 
    *, 
    (Select Sum(SOMENUMT) 
     From @t S 
     Where S.id <= M.id)
From @t M

在这篇优秀的文章中有一个更快的CTE实现: http://weblogs.sqlteam.com/mladenp/archive/2009/07/28/SQL-Server-2005-Fast-Running-Totals.aspx

这个线程中的问题可以这样表达:

    DECLARE @RT INT
    SELECT @RT = 0

    ;
    WITH  abcd
            AS ( SELECT TOP 100 percent
                        id
                       ,SomeNumt
                       ,MySum
                       order by id
               )
      update abcd
      set @RT = MySum = @RT + SomeNumt
      output inserted.*

SQL解决方案结合“无界前行和当前行之间的行”和“和”做的正是我想要实现的。 非常感谢!

如果这能帮到谁,这是我的案子。我想在一列中累积+1,每当发现一个maker为“Some maker”(示例)。如果不是,则不增加,但显示之前的增加结果。

这段SQL:

SUM( CASE [rmaker] WHEN 'Some Maker' THEN  1 ELSE 0 END) 
OVER 
(PARTITION BY UserID ORDER BY UserID,[rrank] ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Cumul_CNT

让我得到这样的东西:

User 1  Rank1   MakerA      0  
User 1  Rank2   MakerB      0  
User 1  Rank3   Some Maker  1  
User 1  Rank4   Some Maker  2  
User 1  Rank5   MakerC      2
User 1  Rank6   Some Maker  3  
User 2  Rank1   MakerA      0  
User 2  Rank2   SomeMaker   1  

上面的解释:它从0开始计数“some maker”,some maker被找到,我们做+1。对于用户1,MakerC被找到,所以我们不做+1,而是一些制造商的垂直计数被固定为2,直到下一行。 分区是按用户划分的,所以当我们改变用户时,累积计数返回零。

我在工作,我不希望这个答案有任何优点,只是说谢谢,并以身作则,以防有人处于同样的情况。我试图结合SUM和PARTITION,但惊人的语法“无界前行和当前行之间的行”完成了任务。

谢谢! Groaker

一个CTE版本,只是为了好玩:

;
WITH  abcd
        AS ( SELECT id
                   ,SomeNumt
                   ,SomeNumt AS MySum
             FROM   @t
             WHERE  id = 1
             UNION ALL
             SELECT t.id
                   ,t.SomeNumt
                   ,t.SomeNumt + a.MySum AS MySum
             FROM   @t AS t
                    JOIN abcd AS a ON a.id = t.id - 1
           )
  SELECT  *  FROM    abcd
OPTION  ( MAXRECURSION 1000 ) -- limit recursion here, or 0 for no limit.

返回:

id          SomeNumt    MySum
----------- ----------- -----------
1           10          10
2           12          22
3           3           25
4           15          40
5           23          63

让我们先用虚拟数据创建一个表:

Create Table CUMULATIVESUM (id tinyint , SomeValue tinyint)

现在让我们向表中插入一些数据;

Insert Into CUMULATIVESUM
    Select 1, 10 union 
    Select 2, 2  union
    Select 3, 6  union
    Select 4, 10 

这里我在连接同一个表(自连接)

Select c1.ID, c1.SomeValue, c2.SomeValue
From CumulativeSum c1, CumulativeSum c2
Where c1.id >= c2.ID
Order By c1.id Asc

结果:

ID  SomeValue   SomeValue
-------------------------
1   10          10
2   2           10
2   2            2
3   6           10
3   6            2
3   6            6
4   10          10
4   10           2
4   10           6
4   10          10

现在我们把t2的somvalue相加,我们就会得到答案

Select c1.ID, c1.SomeValue, Sum(c2.SomeValue) CumulativeSumValue
From CumulativeSum c1,  CumulativeSum c2
Where c1.id >= c2.ID
Group By c1.ID, c1.SomeValue
Order By c1.id Asc

对于SQL Server 2012及以上版本(性能更好):

Select 
    c1.ID, c1.SomeValue, 
    Sum (SomeValue) Over (Order By c1.ID )
From CumulativeSum c1
Order By c1.id Asc

预期的结果:

ID  SomeValue   CumlativeSumValue
---------------------------------
1   10          10
2   2           12
3   6           18
4   10          28

Drop Table CumulativeSum