SQL Server OVER（）子句的行为不符合预期
我正在使用SQL Server OVER（）子句的行为不符合预期,sql,sql-server-2012,window-functions,Sql,Sql Server 2012,Window Functions,我正在使用OVER（）子句根据账号和付款日期获取付款的总金额。然后，我从当前余额中减去运行总数，以确定每笔交易完成后的余额 SELECT no_, amount, SUM(amount) OVER(PARTITION BY no_ ORDER BY effectiveDate DESC) AS RunningTotal, balance - (SUM(amount) OVER(PARTITION BY no_ ORDER BY effectiveDate DESC
OVER（）SELECT
no_,
amount,
SUM(amount) OVER(PARTITION BY no_ ORDER BY effectiveDate DESC) AS RunningTotal,
balance - (SUM(amount) OVER(PARTITION BY no_ ORDER BY effectiveDate DESC)) + amount AS CalculatedBalance,
balance
FROM
c
WHERE
status != 'closed'
ORDER BY
no_
所有负数都会发生这种情况，我检查了所有的正数，它们都是正确的。我在网上查了一下，找不到OVER（）不接受负数的理由你为什么要反向计算？我希望逻辑更像这样：
SELECT no_, amount,
SUM(amount) OVER (PARTITION BY no_ ORDER BY effectiveDate ASC) AS RunningTotal,
(balance + amount +
SUM(amount) OVER (PARTITION BY no_ ORDER BY effectiveDate ASC)
) AS CalculatedBalance,
balance
FROM c
WHERE status <> 'closed'
ORDER BY no_;
选择否、金额、，
总计（按无订单划分，按生效日期ASC划分）作为运行总计，
（余额+金额）+
总额（金额）超过（按无订单划分，按生效日期ASC划分）
)作为计算余额，
平衡
来自c
何处状态为“关闭”
不可撤销的命令；
此外，由于
余额子句之间的行
在window frame子句中，指定窗框单位（行）
或范围）和窗口边框范围（分隔符）。排成一排
窗口帧单位，可以将分隔符指示为三个分隔符之一
选项：
■■ 无界的在前面或后面，意思是开始或结束
分别是分区
■■ 当前行，显然代表当前行
■■ 前面或后面的行，表示前面或后面的n行
分别为当前
语法示例：
临时查询，对数据集中的天数进行分组（1..7..无穷大）
最终结果：
select
cte.*
, SUM(cte.Amount)
OVER(PARTITION BY cte.Account ORDER BY cte.calcDayRankdenseGroup ASC
ROWS BETWEEN 7 PRECEDING and CURRENT ROW)
AS [Amount_RunningTotalDaysLast7]
from cteDateRankAdded cte
order by Account, DATE DESC
从我的测试数据返回的数据（见下文）：
以下是我创建的用于表示您的场景的示例数据，今天是2018年9月18日
+-----+---------+------------+--------+------------------+------------------+
| Seq | Account | DATE | Amount | dataDaysAgoDelta | dataDaysAgoGroup |
+-----+---------+------------+--------+------------------+------------------+
| 1 | 1 | 2018-08-19 | 49.00 | 30 | 10 |
+-----+---------+------------+--------+------------------+------------------+
| 2 | 1 | 2018-08-20 | 63.00 | 29 | 9 |
+-----+---------+------------+--------+------------------+------------------+
| 3 | 1 | 2018-08-23 | 100.00 | 26 | 8 |
+-----+---------+------------+--------+------------------+------------------+
| 4 | 1 | 2018-08-24 | 50.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 5 | 1 | 2018-08-24 | 48.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 6 | 1 | 2018-08-29 | 32.00 | 20 | 6 |
+-----+---------+------------+--------+------------------+------------------+
| 7 | 1 | 2018-09-02 | 90.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 8 | 1 | 2018-09-02 | 90.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 9 | 1 | 2018-09-03 | 47.00 | 15 | 4 |
+-----+---------+------------+--------+------------------+------------------+
| 10 | 1 | 2018-09-12 | 57.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 11 | 1 | 2018-09-12 | 13.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 12 | 1 | 2018-09-12 | 98.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 13 | 1 | 2018-09-13 | 6.00 | 5 | 2 |
+-----+---------+------------+--------+------------------+------------------+
| 14 | 1 | 2018-09-16 | 30.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 15 | 1 | 2018-09-16 | 69.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 16 | 2 | 2018-08-19 | 43.00 | 30 | 10 |
+-----+---------+------------+--------+------------------+------------------+
| 17 | 2 | 2018-08-20 | 45.00 | 29 | 9 |
+-----+---------+------------+--------+------------------+------------------+
| 18 | 2 | 2018-08-23 | 9.00 | 26 | 8 |
+-----+---------+------------+--------+------------------+------------------+
| 19 | 2 | 2018-08-24 | 82.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 20 | 2 | 2018-08-24 | 66.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 21 | 2 | 2018-08-29 | 60.00 | 20 | 6 |
+-----+---------+------------+--------+------------------+------------------+
| 22 | 2 | 2018-09-02 | 64.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 23 | 2 | 2018-09-02 | 81.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 24 | 2 | 2018-09-03 | 29.00 | 15 | 4 |
+-----+---------+------------+--------+------------------+------------------+
| 25 | 2 | 2018-09-12 | 28.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 26 | 2 | 2018-09-12 | 78.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 27 | 2 | 2018-09-12 | 32.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 28 | 2 | 2018-09-13 | 83.00 | 5 | 2 |
+-----+---------+------------+--------+------------------+------------------+
| 29 | 2 | 2018-09-16 | 38.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 30 | 2 | 2018-09-16 | 3.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
完整查询：
DECLARE @tblDaysLast7Found as table
(Seq int, Account int, DATE date, Amount numeric(10,2), dataDaysAgoDelta int, dataDaysAgoGroup int)
INSERT INTO @tblDaysLast7Found
(Seq, Account, DATE, Amount, dataDaysAgoDelta, dataDaysAgoGroup)
VALUES
(1, 1, '8/19/2018', 49, 30, 10)
,(2, 1, '8/20/2018', 63, 29, 9)
,(3, 1, '8/23/2018', 100, 26, 8)
,(4, 1, '8/24/2018', 50, 25, 7)
,(5, 1, '8/24/2018', 48, 25, 7)
,(6, 1, '8/29/2018', 32, 20, 6)
,(7, 1, '9/2/2018', 90, 16, 5)
,(8, 1, '9/2/2018', 90, 16, 5)
,(9, 1, '9/3/2018', 47, 15, 4)
,(10, 1, '9/12/2018', 57, 6, 3)
,(11, 1, '9/12/2018', 13, 6, 3)
,(12, 1, '9/12/2018', 98, 6, 3)
,(13, 1, '9/13/2018', 6, 5, 2)
,(14, 1, '9/16/2018', 30, 2, 1)
,(15, 1, '9/16/2018', 69, 2, 1)
,(16, 2, '8/19/2018', 43, 30, 10)
,(17, 2, '8/20/2018', 45, 29, 9)
,(18, 2, '8/23/2018', 9, 26, 8)
,(19, 2, '8/24/2018', 82, 25, 7)
,(20, 2, '8/24/2018', 66, 25, 7)
,(21, 2, '8/29/2018', 60, 20, 6)
,(22, 2, '9/2/2018', 64, 16, 5)
,(23, 2, '9/2/2018', 81, 16, 5)
,(24, 2, '9/3/2018', 29, 15, 4)
,(25, 2, '9/12/2018', 28, 6, 3)
,(26, 2, '9/12/2018', 78, 6, 3)
,(27, 2, '9/12/2018', 32, 6, 3)
,(28, 2, '9/13/2018', 83, 5, 2)
,(29, 2, '9/16/2018', 38, 2, 1)
,(30, 2, '9/16/2018', 3, 2, 1)
--select * from @tblDaysLast7Found
;WITH cteDateRankAdded AS
(
select -- *
tbl.Account
, tbl.Amount
, tbl.DATE
, RANK()
OVER(PARTITION BY tbl.Account ORDER BY tbl.Date DESC)
AS [calcDayRankGroup_DoNotUse]
, DENSE_RANK()
OVER(PARTITION BY tbl.Account ORDER BY tbl.Date DESC)
AS [calcDayRankdenseGroup]
, ROW_NUMBER()
OVER(PARTITION BY tbl.Account, tbl.Date ORDER BY tbl.Date DESC)
AS [calcDayCountInGroup]
from
@tblDaysLast7Found tbl
)
select
cte.*
, SUM(cte.Amount)
OVER(PARTITION BY cte.Account ORDER BY cte.calcDayRankdenseGroup ASC
ROWS BETWEEN 7 PRECEDING and CURRENT ROW)
AS [Amount_RunningTotalDaysLast7]
from cteDateRankAdded cte
order by Account, DATE DESC
+-----+---------+------------+--------+------------------+------------------+
| Seq | Account | DATE | Amount | dataDaysAgoDelta | dataDaysAgoGroup |
+-----+---------+------------+--------+------------------+------------------+
| 1 | 1 | 2018-08-19 | 49.00 | 30 | 10 |
+-----+---------+------------+--------+------------------+------------------+
| 2 | 1 | 2018-08-20 | 63.00 | 29 | 9 |
+-----+---------+------------+--------+------------------+------------------+
| 3 | 1 | 2018-08-23 | 100.00 | 26 | 8 |
+-----+---------+------------+--------+------------------+------------------+
| 4 | 1 | 2018-08-24 | 50.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 5 | 1 | 2018-08-24 | 48.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 6 | 1 | 2018-08-29 | 32.00 | 20 | 6 |
+-----+---------+------------+--------+------------------+------------------+
| 7 | 1 | 2018-09-02 | 90.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 8 | 1 | 2018-09-02 | 90.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 9 | 1 | 2018-09-03 | 47.00 | 15 | 4 |
+-----+---------+------------+--------+------------------+------------------+
| 10 | 1 | 2018-09-12 | 57.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 11 | 1 | 2018-09-12 | 13.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 12 | 1 | 2018-09-12 | 98.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 13 | 1 | 2018-09-13 | 6.00 | 5 | 2 |
+-----+---------+------------+--------+------------------+------------------+
| 14 | 1 | 2018-09-16 | 30.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 15 | 1 | 2018-09-16 | 69.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 16 | 2 | 2018-08-19 | 43.00 | 30 | 10 |
+-----+---------+------------+--------+------------------+------------------+
| 17 | 2 | 2018-08-20 | 45.00 | 29 | 9 |
+-----+---------+------------+--------+------------------+------------------+
| 18 | 2 | 2018-08-23 | 9.00 | 26 | 8 |
+-----+---------+------------+--------+------------------+------------------+
| 19 | 2 | 2018-08-24 | 82.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 20 | 2 | 2018-08-24 | 66.00 | 25 | 7 |
+-----+---------+------------+--------+------------------+------------------+
| 21 | 2 | 2018-08-29 | 60.00 | 20 | 6 |
+-----+---------+------------+--------+------------------+------------------+
| 22 | 2 | 2018-09-02 | 64.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 23 | 2 | 2018-09-02 | 81.00 | 16 | 5 |
+-----+---------+------------+--------+------------------+------------------+
| 24 | 2 | 2018-09-03 | 29.00 | 15 | 4 |
+-----+---------+------------+--------+------------------+------------------+
| 25 | 2 | 2018-09-12 | 28.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 26 | 2 | 2018-09-12 | 78.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 27 | 2 | 2018-09-12 | 32.00 | 6 | 3 |
+-----+---------+------------+--------+------------------+------------------+
| 28 | 2 | 2018-09-13 | 83.00 | 5 | 2 |
+-----+---------+------------+--------+------------------+------------------+
| 29 | 2 | 2018-09-16 | 38.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
| 30 | 2 | 2018-09-16 | 3.00 | 2 | 1 |
+-----+---------+------------+--------+------------------+------------------+
DECLARE @tblDaysLast7Found as table
(Seq int, Account int, DATE date, Amount numeric(10,2), dataDaysAgoDelta int, dataDaysAgoGroup int)
INSERT INTO @tblDaysLast7Found
(Seq, Account, DATE, Amount, dataDaysAgoDelta, dataDaysAgoGroup)
VALUES
(1, 1, '8/19/2018', 49, 30, 10)
,(2, 1, '8/20/2018', 63, 29, 9)
,(3, 1, '8/23/2018', 100, 26, 8)
,(4, 1, '8/24/2018', 50, 25, 7)
,(5, 1, '8/24/2018', 48, 25, 7)
,(6, 1, '8/29/2018', 32, 20, 6)
,(7, 1, '9/2/2018', 90, 16, 5)
,(8, 1, '9/2/2018', 90, 16, 5)
,(9, 1, '9/3/2018', 47, 15, 4)
,(10, 1, '9/12/2018', 57, 6, 3)
,(11, 1, '9/12/2018', 13, 6, 3)
,(12, 1, '9/12/2018', 98, 6, 3)
,(13, 1, '9/13/2018', 6, 5, 2)
,(14, 1, '9/16/2018', 30, 2, 1)
,(15, 1, '9/16/2018', 69, 2, 1)
,(16, 2, '8/19/2018', 43, 30, 10)
,(17, 2, '8/20/2018', 45, 29, 9)
,(18, 2, '8/23/2018', 9, 26, 8)
,(19, 2, '8/24/2018', 82, 25, 7)
,(20, 2, '8/24/2018', 66, 25, 7)
,(21, 2, '8/29/2018', 60, 20, 6)
,(22, 2, '9/2/2018', 64, 16, 5)
,(23, 2, '9/2/2018', 81, 16, 5)
,(24, 2, '9/3/2018', 29, 15, 4)
,(25, 2, '9/12/2018', 28, 6, 3)
,(26, 2, '9/12/2018', 78, 6, 3)
,(27, 2, '9/12/2018', 32, 6, 3)
,(28, 2, '9/13/2018', 83, 5, 2)
,(29, 2, '9/16/2018', 38, 2, 1)
,(30, 2, '9/16/2018', 3, 2, 1)
--select * from @tblDaysLast7Found
;WITH cteDateRankAdded AS
(
select -- *
tbl.Account
, tbl.Amount
, tbl.DATE
, RANK()
OVER(PARTITION BY tbl.Account ORDER BY tbl.Date DESC)
AS [calcDayRankGroup_DoNotUse]
, DENSE_RANK()
OVER(PARTITION BY tbl.Account ORDER BY tbl.Date DESC)
AS [calcDayRankdenseGroup]
, ROW_NUMBER()
OVER(PARTITION BY tbl.Account, tbl.Date ORDER BY tbl.Date DESC)
AS [calcDayCountInGroup]
from
@tblDaysLast7Found tbl
)
select
cte.*
, SUM(cte.Amount)
OVER(PARTITION BY cte.Account ORDER BY cte.calcDayRankdenseGroup ASC
ROWS BETWEEN 7 PRECEDING and CURRENT ROW)
AS [Amount_RunningTotalDaysLast7]
from cteDateRankAdded cte
order by Account, DATE DESC