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

select t1.id, t1.SomeNumt, SUM(t2.SomeNumt) as sum
from @t t1
inner join @t t2 on t1.id >= t2.id
group by t1.id, t1.SomeNumt
order by t1.id

SQL小提琴示例

输出

| ID | SOMENUMT | SUM |
-----------------------
|  1 |       10 |  10 |
|  2 |       12 |  22 |
|  3 |        3 |  25 |
|  4 |       15 |  40 |
|  5 |       23 |  63 |

编辑:这是一个通用的解决方案,可以在大多数数据库平台上工作。如果有更好的解决方案适用于你的特定平台(例如,gareth的平台),那就使用它!

其他回答

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

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.*

最新版本的SQL Server(2012)允许以下。

SELECT 
    RowID, 
    Col1,
    SUM(Col1) OVER(ORDER BY RowId ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Col2
FROM tablehh
ORDER BY RowId

or

SELECT 
    GroupID, 
    RowID, 
    Col1,
    SUM(Col1) OVER(PARTITION BY GroupID ORDER BY RowId ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS Col2
FROM tablehh
ORDER BY RowId

这个更快。分区版本在34秒内完成,超过500万行。

感谢Peso,他在另一个回答中提到的SQL Team线程上发表了评论。

你可以使用这个简单的查询进行累进计算:

select 
   id
  ,SomeNumt
  ,sum(SomeNumt) over(order by id ROWS between UNBOUNDED PRECEDING and CURRENT ROW) as CumSrome
from @t

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