做分组和总和SQL

时间:2017-02-15 17:43:57

标签: sql sql-server

我正在尝试在分组另一列时对一列进行求和。 SQL始终如一 给了我两个单独的行。

以下是我的脚本和我的结果:

Select A.client, A.store, A.Type as 'Ticket Type', A.[bizdate] as 'DATE',     
sum(cast(round(c.[Amount2],2) as decimal (20,0))) 'QTY', c.SKU, c.[DESC], 
sum(cast(round(c.[Amount1],2)as decimal(20,2))) as 'Total'


From Mydatabase A inner join mydatabase.dbo.TicketHeader B on A.    
[ticket] = b.[ticket] and a.[yyyymmdd] = b.[yyyymmdd]
inner join mydatabase.dbo.ticketdetail C on C.[ticketheaderid]  =   
b.[id] and c.[class] = a.[class]

where  
A.Store = @store
and a.yyyymmdd = @yyyymmdd
and c.class <> 'balance'
and c.Subtype <> 'cancelled'
and a.type NOT IN    
('SKU','Total','CASH','CHANGE','NA','TAX1','TAX2','TAX3','TAX4','CHARGE',     
'Delivery Service', 'Tip')
and c.[DESC] <> 'NA'
and c.sku = '300129'

group by c.sku, c.[DESC],a.store, a.type, a.bizdate, a.client, c.[Amount2],    
c.[Amount1]  
order by [ticket type]

client, Store TicketType         date       qty   SKU    Description  Amount
1      2404  CURBSIDE / TO GO   20170214    1   300129  Beef TACO    2.00
1      2404  DINE IN            20170214    1   300129  Beef TACO    2.00
1      2404  DINE IN            20170214    2   300129  Beef TACO    4.00
1      2404  FOODSBY            20170214    2   300129  Beef TACO    4.00

我正在尝试将DINE IN Beef TACO分组到一行,同时总结 量。

1 个答案:

答案 0 :(得分:1)

这里有几个设计和代码问题。 Amount1和Amount2之类的东西表明可能的标准化不佳。别名A,B,C是一个坏习惯,因为它使维护方式比应该更加困难。

除了你的代码从格式化的角度来看是一团糟,使用起来很痛苦。添加一些空白区域并将您的分组放置,这应该可以正常工作。

Select A.client
    , A.store
    , A.Type as 'Ticket Type'
    , A.[bizdate] as 'DATE'
    , sum(cast(round(c.[Amount2],2) as decimal (20,0))) 'QTY'
    , c.SKU
    , c.[DESC]
    , sum(cast(round(c.[Amount1],2)as decimal(20,2))) as 'Total'
From Mydatabase A 
inner join mydatabase.dbo.TicketHeader B on A.[ticket] = b.[ticket] 
                                        and a.[yyyymmdd] = b.[yyyymmdd]
inner join mydatabase.dbo.ticketdetail C on C.[ticketheaderid] = b.[id] and c.[class] = a.[class]
where  
    A.Store = @store
    and a.yyyymmdd = @yyyymmdd
    and c.class <> 'balance'
    and c.Subtype <> 'cancelled'
    and a.type NOT IN    
    (
        'SKU','Total','CASH','CHANGE','NA','TAX1','TAX2','TAX3','TAX4','CHARGE','Delivery Service', 'Tip'
    )
    and c.[DESC] <> 'NA'
    and c.sku = '300129'
group by A.client
    , A.store
    , A.Type 
    , A.[bizdate] 
    , c.SKU
    , c.[DESC]
order by [ticket type]