作为基于时间段的累计求和的列

我有一个表，其中记录在不同时段插入（每个记录包含一个名为'Amount'的列）。作为基于时间段的累计求和的列

我想在每5秒后显示总数量。我曾与下面的查询尝试没有成功：

SELECT Sum(totalamount) AS RealTimeTotalAmount, 
     Datepart(second, createstamp)/5 AS dp 
FROM [order] 
WHERE 
     createstamp BETWEEN Dateadd(s, -5, Getdate()) AND Getdate() 
GROUP BY Datepart(second, createstamp)/5

我现在面临的问题是，它让我看到了“累计金额按每一秒”，我想看看它像“（累计金额为每每一秒+总金额累计到那第二）”

这里是源数据的样子：

----------------------------------------------------------- 
|OrderID | CreateStamp    | TotalAmount   | 
----------------------------------------------------------- 
|1  |2015-03-22 15:26:05.620 | 10     | 
----------------------------------------------------------- 
|2  |2015-03-22 15:26:05.653 | 20     | 
----------------------------------------------------------- 
|3  |2015-03-22 15:26:05.660 | 10     | 
----------------------------------------------------------- 
|4  |2015-03-22 15:26:06.663 | 10     | 
----------------------------------------------------------- 
|5  |2015-03-22 15:26:06.670 | 30     | 
-----------------------------------------------------------

从本质上讲，我希望得到的查询返回如下：

---------------------------------------- 
|Period   | Accumulative Amount | 
---------------------------------------- 
|0 to 5 seconds | 30     | 
---------------------------------------- 
|0 to 10 seconds | 80     | 
----------------------------------------

这基本上是一个从0时间到5的倍数的累计。对于最近5秒，基本上我计算了整天的时间，直到我执行这个查询的时间，例如前一天的金额这次是50，所以结果表应该看起来像

---------------------------------------- 
|0 to 5 seconds | 30 + 50 = 80  | 
---------------------------------------- 
|0 to 10 seconds | 80 + 80 = 160  | 
----------------------------------------

来源

2015-04-07 rashfmnb

什么版本的SQL Server您使用的是？ SQL Server 2012中的窗口函数有显着的改进。 –

我使用的SQL Server 2008 – rashfmnb

你可以尝试这样的事情。

输入数据

DECLARE @Orders TABLE 
(
    OrderId INT, 
    CreateStamp DATETIME, 
    TotalAmount NUMERIC(9,2) 
) 
INSERT INTO @Orders 
SELECT 1,'2015-03-22 15:26:05.620',400 
UNION ALL SELECT 2,'2015-03-22 15:26:04.653',500 
UNION ALL SELECT 3,'2015-03-22 15:26:05.660',600 
UNION ALL SELECT 4,'2015-03-22 15:26:06.663',700 
UNION ALL SELECT 5,'2015-03-22 15:26:06.670',900 
UNION ALL SELECT 6,'2015-03-22 15:26:05.660',600 
UNION ALL SELECT 7,'2015-03-22 15:26:09.663',700 
UNION ALL SELECT 8,'2015-03-22 15:26:12.670',900

查询

;WITH CTE as 
(
    SELECT DATEDIFF(minute,0,CreateStamp)totalminutes,Datepart(second, CreateStamp)/5 sec,SUM(TotalAmount) TotalAmount 
    FROM @Orders 
    GROUP BY DATEDIFF(minute,0,CreateStamp),Datepart(second, CreateStamp)/5 
) 
SELECT DATEADD(minute,totalminutes,0) dt,sec,(SELECT SUM(TotalAmount) FROM cte WHERE totalminutes <=c2.totalminutes and sec <=c2.sec) 
FROM CTE c2 
ORDER BY sec;

我添加了一个GROUP BY DATEDIFF(minute,0,CreateStamp)到单独秒不同的日期和分钟。

来源

2015-04-07 09:52:18 ughai

感谢与小调整它适用于我 – rashfmnb

如果我理解正确：

DECLARE @t TABLE 
    (
     ID INT , 
     D DATETIME , 
     A MONEY 
    ) 
DECLARE @mind DATETIME , 
    @maxd DATETIME 


INSERT INTO @t 
VALUES (1, '2015-04-07 13:49:15.000', 5), 
     (2, '2015-04-07 13:49:17.000', 15), 
     (3, '2015-04-07 13:49:35.000', 2), 
     (4, '2015-04-07 13:49:45.000', 4), 
     (5, '2015-04-07 13:49:49.000', 20), 
     (6, '2015-04-07 13:50:05.000', 20), 
     (7, '2015-04-07 13:50:09.000', 3), 
     (8, '2015-04-07 13:50:09.000', 3), 
     (9, '2015-04-07 13:50:10.000', 1), 
     (10, '2015-04-07 13:50:15.000', 1) 


SELECT @mind = MIN(d) , 
     @maxd = MAX(d) 
FROM @t; 

WITH cte 
      AS (SELECT @mind AS d 
       UNION ALL 
       SELECT DATEADD(ss, 5, d) 
       FROM  cte 
       WHERE cte.d <= @maxd 
      ) 

SELECT cte.d, SUM(A) AS A FROM cte 
JOIN @t t ON t.D < cte.d 
GROUP BY cte.d

输出：

d      A 
2015-04-07 13:49:20.000 20.00 
2015-04-07 13:49:25.000 20.00 
2015-04-07 13:49:30.000 20.00 
2015-04-07 13:49:35.000 20.00 
2015-04-07 13:49:40.000 22.00 
2015-04-07 13:49:45.000 22.00 
2015-04-07 13:49:50.000 46.00 
2015-04-07 13:49:55.000 46.00 
2015-04-07 13:50:00.000 46.00 
2015-04-07 13:50:05.000 46.00 
2015-04-07 13:50:10.000 72.00 
2015-04-07 13:50:15.000 73.00 
2015-04-07 13:50:20.000 74.00

来源

2015-04-07 10:03:07

作为基于时间段的累计求和的列

回答

相关问题