我有这两个表:
Collect: Date, Rute, Value_Collected...
Records: Date, Rute, Value, Type...
在这种情况下,其他列不相关。所以我有这个工作代码:
SELECT
Totals.Date AS [Date],
Sum(Totals.Collected) AS [Collect],
Sum(Totals.Injected) AS [Injections],
Sum(Totals.Spent) AS [Expenses],
([Collect] + [Injections]) - [Expenses] AS [Total Day]
FROM (
SELECT
Records.Date AS [Date],
0 AS [Collected],
Sum(IIF(Type = 3,Records.Value,0)) AS [Injected],
Sum(IIF(Type <> 3,Records.Value,0)) AS [Spent]
FROM Records GROUP BY Records.Date
UNION ALL
SELECT
Collect.Date AS [Date],
Sum(Collect.Value_Collected) AS [Collected],
0 AS [Injected],
0 AS [Spent]
FROM Collect GROUP BY Collect.Date
) AS Totals GROUP BY Totals.Date
这给了我这个结果:
|Date |Collect |Injections |Expenses |Total Day
-----------------------------------------------------------
|5/09/2016 |$47.000 |$0 |$0 |$47.000 |
|6/09/2016 |$20.000 |$0 |$0 |$20.000 |
|7/09/2016 |$13.000 |$0 |$0 |$13.000 |
|11/09/2016 |$122.000 |$0 |$0 |$122.000|
|14/09/2016 |$7.000 |$0 |$0 |$7.000 |
|16/09/2016 |$100.000 |$0 |$7.000 |$93.000 |
|30/09/2016 |$0 |$80.000 |$65.000 |$15.000 |
-----------------------------------------------------------
现在还可以,但是[Total Day]
列的公式必须像([Total Day Of Last Row] + [Collect] + [Injections]) - [Expenses]
而不是([Collect] + [Injections]) - [Expenses]
一样计算,以便给出我想要的结果:
|Date |Collect |Injections |Expenses |Total Day
-------------------------------------------------------------
|5/09/2016 |$47.000 |$0 |$0 |$47.000 |
|6/09/2016 |$20.000 |$0 |$0 |$67.000 |
|7/09/2016 |$13.000 |$0 |$0 |$80.000 |
|11/09/2016 |$122.000 |$0 |$0 |$202.000|
|14/09/2016 |$7.000 |$0 |$0 |$209.000|
|16/09/2016 |$100.000 |$0 |$7.000 |$302.000|
|30/09/2016 |$0 |$80.000 |$65.000 |$317.000|
-------------------------------------------------------------
但我不知道如何获取前一行的[Total Day]
来计算当前行的[Total Day]
。如果我尝试在[Totals]
上运行子查询,则会出现错误,因为它无法找到表Totals
。我认为这是因为它不是一个“真正的”表,但实际上我不知道如何实现这一目标。我真的很感激任何帮助。
PS:列和表的名称最初是西班牙语,但是为了便于您理解我需要完成的目的而进行翻译。
答案 0 :(得分:1)
基本上,您需要通过渐进日期在字段之间累积总和,这可以使用相关的和聚合子查询来处理。唯一的挑战是MS Access没有像其他SQL方言那样的窗口函数来重用派生表查询。所以你需要在子查询中重复union派生表:
SELECT main.Date, main.Collected AS [Collect],
main.Injected As [Injections], main.Spent As [Expenses],
Ccur((SELECT Sum(sub.Collected) + Sum(sub.Injected) - Sum(sub.Spent)
FROM
(SELECT Records.Date AS [Date], 0 AS [Collected],
Sum(IIF(Type = 3,Records.Value,0)) AS [Injected],
Sum(IIF(Type <> 3,Records.Value,0)) AS [Spent]
FROM Records GROUP BY Records.Date
UNION ALL
SELECT Collect.Date AS [Date],
Sum(Collect.Value_Collected) AS [Collected],
0 AS [Injected],
0 AS [Spent]
FROM Collect GROUP BY Collect.Date
) As sub
WHERE sub.Date <= main.Date)) As [Total Day]
FROM
(SELECT Records.Date AS [Date], 0 AS [Collected],
Sum(IIF(Type = 3,Records.Value,0)) AS [Injected],
Sum(IIF(Type <> 3,Records.Value,0)) AS [Spent]
FROM Records GROUP BY Records.Date
UNION ALL
SELECT Collect.Date AS [Date],
Sum(Collect.Value_Collected) AS [Collected],
0 AS [Injected],
0 AS [Spent]
FROM Collect GROUP BY Collect.Date
) As main
幸运的是,MS Access确实维护了存储的查询对象,将UNION查询保存为单独的查询,并在新查询中引用它以获得更短的脚本:
SELECT main.Date, main.Collected As [Collect],
main.Injected As Injections, main.Spent As Expenses,
Ccur((SELECT Sum(sub.Collected) + Sum(sub.Injected) - Sum(sub.Spent)
FROM RecordsUnionQ As sub
WHERE sub.Date <= main.Date)) As [Total Day]
FROM RecordsUnionQ As main
使用支持CTE的SQLite 3,您可以使用WITH()
子句来保存联合查询,并避免在子查询中重复它。 CTE仅在SQL语句的持续时间内就像临时视图一样。
WITH main AS
(SELECT Records.Date AS [Date], 0 AS [Collected],
Sum(IIF(Type = 3,Records.Value,0)) AS [Injected],
Sum(IIF(Type <> 3,Records.Value,0)) AS [Spent]
FROM Records GROUP BY Records.Date
UNION ALL
SELECT Collect.Date AS [Date],
Sum(Collect.Value_Collected) AS [Collected],
0 AS [Injected],
0 AS [Spent]
FROM Collect GROUP BY Collect.Date)
SELECT main.Date, main.Collected AS [Collect],
main.Injected As [Injections], main.Spent As [Expenses],
Ccur((SELECT Sum(sub.Collected) + Sum(sub.Injected) - Sum(sub.Spent)
FROM main As sub
WHERE sub.Date <= main.Date)) As [Total Day]
FROM main;