Sql server 求和并在一条记录中显示_Sql Server_Join_Sum

Sql server 求和并在一条记录中显示

sql-server join

Sql server 求和并在一条记录中显示,sql-server,join,sum,Sql Server,Join,Sum,我有三张表：表1（AF）、表2（MC）和表3（SC）我目前对这些表有如下查询： SELECT AF.[Product Number], AF.[Week End Date], AF.[Inv Change Cost], AF.[Gross Sales Lbs], AF.[Production Lbs], MC.[Actual Usage Cost] AS MeatCost, SC.[Actual Usage Cost] AS SeasonCost FROM Table1 AF FULL JOI

我有三张表：表1（AF）、表2（MC）和表3（SC）

我目前对这些表有如下查询：

SELECT
AF.[Product Number],
AF.[Week End Date],
AF.[Inv Change Cost],
AF.[Gross Sales Lbs],
AF.[Production Lbs],
MC.[Actual Usage Cost] AS MeatCost,
SC.[Actual Usage Cost] AS SeasonCost
FROM Table1 AF
FULL JOIN Table2 MC ON MC.[Product Number] = AF.[Product Number] AND MC.[Week Ending Date] = AF.[Week End Date]
FULL JOIN Table3 SC ON SC.[Product Number] = AF.[Product Number] AND SC.[Week Ending Date] = MC.[Week Ending Date]
WHERE
AF.[Product Number] = '96443' AND
AF.[Week End Date] = '2/4/2017' AND
MC.[Rout Line Name] = 'Total Cost' AND
SC.[Rout Line Name] = 'Total Cost'

返回以下内容：

Prod # | WE Date | IC Cost | Gross Sales | Prod Lbs | Meat Cost | Season Cost |
96443    2/4/2017  -123456   1000           2000       5000        10000
96443    2/4/2017  -123456   1000           2000       5000        20000
96443    2/4/2017  -123456   1000           2000       6000        10000
96443    2/4/2017  -123456   1000           2000       6000        20000

但是，我希望能够计算出肉类和季节的总和，因此表格将如下所示：

Prod # | WE Date | IC Cost | Gross Sales | Prod Lbs | Meat Cost | Season Cost |
96443    2/4/2017  -123456    1000          2000      11000       30000

我尝试了以下语句，但我得到了两个总和的所有四条记录的总和，这不是我想要返回的值：

SELECT
AF.[Product Number],
AF.[Week End Date],
AF.[Inv Change Cost],
AF.[Gross Sales Lbs],
AF.[Production Lbs],
SUM(MC.[Actual Usage Cost]) AS MeatCost,
SUM(SC.[Actual Usage Cost]) AS SeasonCost
FROM Table1 AF
JOIN Table2 MC ON MC.[Product Number] = AF.[Product Number] AND MC.[Week Ending Date] = AF.[Week End Date]
JOIN Table3 SC ON SC.[Product Number] = AF.[Product Number] AND SC.[Week Ending Date] = MC.[Week Ending Date]
WHERE
AF.[Product Number] = '96443' AND
AF.[Week End Date] = '2/4/2017' AND
MC.[Rout Line Name] = 'Total Cost' AND
SC.[Rout Line Name] = 'Total Cost'
GROUP BY
AF.[Product Number],
AF.[Week End Date],
AF.[Inv Change Cost],
AF.[Gross Sales Lbs],
AF.[Production Lbs];

返回以下结果：

Prod # | WE Date | IC Cost | Gross Sales | Prod Lbs | Meat Cost | Season Cost |
96443    2/4/2017  -123456   1000          2000       22000       60000

我是否需要对所有字段求和以获得所需的结果

更新：

我试图这样说：

SELECT
AF.[Product Number],
AF.[Week End Date],
AF.[Inv Change Cost],
AF.[Gross Sales Lbs],
AF.[Production Lbs],
MC.MeatCost,
SC.SeasonCost
FROM Table1 AF
    JOIN(
        SELECT [Product Number], [Week Ending Date], SUM([Actual Usage Cost]) AS MeatCost
        FROM Table2
        GROUP BY [Product Number], [Week Ending Date]
        )MC ON
        AF.[Product Number] = MC.[Product Number] AND
        AF.[Week End Date] = MC.[Week Ending Date]
    JOIN(
        SELECT [Product Number], [Week Ending Date], SUM([Actual Usage Cost]) AS SeasonCost
        FROM Table3
        GROUP BY [Product Number], [Week Ending Date]
        )SC ON
        SC.[Product Number] = MC.[Product Number] AND
        SC.[Week Ending Date] = MC.[Week Ending Date]
WHERE
AF.[Product Number] = '96443' AND
AF.[Week End Date] = '2/4/2017';

但是，我得到的结果与上一次尝试的结果相同。

你可以试试这个

SELECT
AF.[Product Number],
MAX(AF.[Week End Date]),
MAX(AF.[Inv Change Cost]),
MAX(AF.[Gross Sales Lbs]),
MAX(AF.[Production Lbs]),
SUM(MC.[Actual Usage Cost]) AS MeatCost,
SUM(SC.[Actual Usage Cost]) AS SeasonCost
FROM Table1 AF
JOIN Table2 MC ON MC.[Product Number] = AF.[Product Number] AND MC.[Week Ending Date] = AF.[Week End Date]
JOIN Table3 SC ON SC.[Product Number] = AF.[Product Number] AND SC.[Week Ending Date] = MC.[Week Ending Date]
WHERE
AF.[Product Number] = '96443' AND
AF.[Week End Date] = '2/4/2017' AND
MC.[Rout Line Name] = 'Total Cost' AND
SC.[Rout Line Name] = 'Total Cost'
GROUP BY
AF.[Product Number]

使用此示例并尝试类似的操作

CREATE TABLE #Table1 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, InvChangeCost NUMERIC(18,2), GrossSales NUMERIC(18,2), ProductionLibs NUMERIC(18,2))

INSERT INTO #Table1( ProdNum ,WeekEndDate ,InvChangeCost ,GrossSales ,ProductionLibs)
VALUES(96443,    '2/4/2017',  -123456,   1000,           2000)

CREATE TABLE #Table2 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, MeatCost NUMERIC(18,2))

INSERT INTO #Table2( ProdNum ,WeekEndDate ,MeatCost)
VALUES(96443,    '2/4/2017',  5000)
INSERT INTO #Table2( ProdNum ,WeekEndDate ,MeatCost)
VALUES(96443,    '2/4/2017',  6000)

CREATE TABLE #Table3 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, SeasonCost NUMERIC(18,2))

INSERT INTO #Table3( ProdNum ,WeekEndDate ,SeasonCost)
VALUES(96443,    '2/4/2017',  1000)
INSERT INTO #Table3( ProdNum ,WeekEndDate ,SeasonCost)
VALUES(96443,    '2/4/2017',  2000)

SELECT t1.*
        , t2.MeatCost
        , t3.SeasonCost
FROM #Table1 t1
    JOIN (
            SELECT ProdNum, WeekEndDate, SUM(MeatCost) AS MeatCost
            FROM #Table2 
            GROUP BY ProdNum, WeekEndDate
         )t2 ON
        t1.ProdNum = t2.ProdNum AND
        t1.WeekEndDate = t2.WeekEndDate
    JOIN (
            SELECT ProdNum, WeekEndDate, SUM(SeasonCost) AS SeasonCost
            FROM #Table3 
            GROUP BY ProdNum, WeekEndDate
         )t3 ON
        t3.ProdNum = t2.ProdNum AND
        t3.WeekEndDate = t2.WeekEndDate


DROP TABLE #Table1  
DROP TABLE #Table2
DROP TABLE #Table3

我使用了Manderson的临时表，并将子查询重新排列成CTE

CREATE TABLE #Table1 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, InvChangeCost NUMERIC(18,2), GrossSales NUMERIC(18,2), ProductionLibs NUMERIC(18,2))

INSERT INTO #Table1( ProdNum ,WeekEndDate ,InvChangeCost ,GrossSales ,ProductionLibs)
VALUES(96443,    '2/4/2017',  -123456,   1000,           2000)

CREATE TABLE #Table2 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, MeatCost NUMERIC(18,2))

INSERT INTO #Table2( ProdNum ,WeekEndDate ,MeatCost)
VALUES(96443,    '2/4/2017',  5000)
INSERT INTO #Table2( ProdNum ,WeekEndDate ,MeatCost)
VALUES(96443,    '2/4/2017',  6000)

CREATE TABLE #Table3 (id INT IDENTITY(1,1), ProdNum INT, WeekEndDate DATETIME, SeasonCost NUMERIC(18,2))

INSERT INTO #Table3( ProdNum ,WeekEndDate ,SeasonCost)
VALUES(96443,    '2/4/2017',  1000)
INSERT INTO #Table3( ProdNum ,WeekEndDate ,SeasonCost)
VALUES(96443,    '2/4/2017',  2000)

;WITH cteMeatCost
AS
(
    SELECT ProdNum, WeekEndDate, SUM(MeatCost) AS MeatCost
            FROM #Table2 
            GROUP BY ProdNum, WeekEndDate
)

,cteSeasonCost
AS
(
    SELECT ProdNum, WeekEndDate, SUM(SeasonCost) AS SeasonCost
            FROM #Table3 
            GROUP BY ProdNum, WeekEndDate
)

SELECT t1.*
        , t2.MeatCost
        , t3.SeasonCost
FROM #Table1 t1
    JOIN cteMeatCost t2 ON
        t1.ProdNum = t2.ProdNum AND
        t1.WeekEndDate = t2.WeekEndDate
    JOIN cteSeasonCost t3 ON
        t3.ProdNum = t2.ProdNum AND
        t3.WeekEndDate = t2.WeekEndDate


DROP TABLE #Table1  
DROP TABLE #Table2
DROP TABLE #Table3

你还有其他领域吗？什么是季节成本？我还有很多字段，但大多数字段都是各自表的唯一字段。您的查询工作正常，但需要知道96443产品编号之间的差异。。。如表3所示。它应该是相同的产品编号。是否需要为每个表指定产品编号为X？无骰子。它仍然重复了MC和SC的总和，我可能还需要合计总销售额和英镑。这与我将要提出的解决方案非常相似，即使用CTE代替JOINs.@digital.亚伦Show us中的子查询。我不使用很多CTE，我想看看。它使用相同的想法。找到肉类成本和季节成本的小计，然后将它们加入最终选择。我喜欢CTE，因为它们更易于阅读。这会起作用，除非我必须插入SQL Server上已有表中的值。。。。。这实用吗？等等！我在两个子查询中留下了一个小调，它可以工作！非常感谢您和@digital.亚伦的帮助！知道了。谢谢