SQL

Question

目前正在尝试创建一个查询，以提供代理人全年按天计算的销售额。我已经设法使总计列起作用，但每日销售额却没有，从原始数据来看，似乎不是对特定代理人一天的总销售额求和，而是用它来计算所有行代理列出并输出它。代码如下：

DECLARE @cols AS NVARCHAR(MAX),
        @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT  ',' + QUOTENAME(convert(varchar(20), [ENTRY_DATE], 106)) 
                  FROM [Sales_Data] with (NoLock) 
                where([ENTRY_DATE] between '01-Jan-2017' and '01-Jul-2017'


                Group By [ENTRY_DATE]
                order by [ENTRY_DATE]
        FOR XML PATH(''), TYPE
        ).value('.', 'NVARCHAR(MAX)') 
    ,1,1,'')

set @query = 

' SELECT 
  [Advisor_Name]                                                                AS    [Advisor_Name]
 ,[Line_Managers_Name]                                                          AS    [Line_Managers_Name]
 ,[SALE_TYPE]
 ,[Total]
 ,'+ @cols +'

    From  (
            Select 
                    sum([SALES]) 
                                over(partition by [Advisor_Name], [Line_Managers_Name], [SALE_TYPE]) 
                                      [Total]
                                ,    [ENTRY_DATE]
                                ,    [Advisor_Name]
                                ,     [Line_Managers_Name]
                                ,    [SALE_TYPE]


            From [Sales_Data] a with (NoLock)        



        )     x

    pivot 

    (
                                      Count([ENTRY_DATE])
                                      for [ENTRY_DATE] in (' + @cols + ')
    ) p 


Order by    [Advisor_Name],     [Line_Managers_Name],     [CHANNEL]          

'

execute(@query)

如果我无法更改我计划的查询，而是更改源数据以逐行提供销售信息而不是汇总成一个总和，不幸的是，某些行可能有一个 -1 的客户sale 表示退款，我不知道如何适应这些，我已经尝试 select distinct，select from (select distinct.....) having count(* ) = 1，但似乎没有任何效果。

Answer 1

你能试试这个吗，我不得不尝试模拟你的数据，但看起来我得到了不错的结果。

 SELECT 
 *
    From  (
Select distinct
sum([Total]) 
over(partition by [Advisor_Name], [Line_Managers_Name], [SALE_TYPE],    [ENTRY_DATE]) as Total
,    [ENTRY_DATE]
,    [Advisor_Name]
,     [Line_Managers_Name]
,    [SALE_TYPE],
sum([Total]) 
over(partition by [Advisor_Name], [Line_Managers_Name], [SALE_TYPE]) as TotalSales

            From [Sales_Data] a with (NoLock)        

        )     x
    pivot 
    (
          Sum(Total)
          for [ENTRY_DATE] in ([01 Jan 2017],[02 Jan 2017],[03 Jan 2017])
    ) p 


Order by    [Advisor_Name],     [Line_Managers_Name]

Answer 2

我还修改了动态生成的 SQL 以生成新的输出。

 DECLARE @cols AS NVARCHAR(MAX)
DECLARE @colsForPivot AS NVARCHAR(MAX)
DECLARE @query  AS NVARCHAR(MAX)

select @cols = STUFF((SELECT  ',ISNULL(' + QUOTENAME(convert(varchar(20), [ENTRY_DATE], 106)) + ',0)'
                  FROM [Sales_Data] with (NoLock) 
                where([ENTRY_DATE] between '01-Jan-2017' and '01-Jul-2017')
                Group By [ENTRY_DATE]
                order by [ENTRY_DATE]
        FOR XML PATH(''), TYPE
        ).value('.', 'NVARCHAR(MAX)') 
    ,1,1,'')

select @colsForPivot = STUFF((SELECT  ',' + QUOTENAME(convert(varchar(20), [ENTRY_DATE], 106))
              FROM [Sales_Data] with (NoLock) 
            where([ENTRY_DATE] between '01-Jan-2017' and '01-Jul-2017')
            Group By [ENTRY_DATE]
            order by [ENTRY_DATE]
    FOR XML PATH(''), TYPE
    ).value('.', 'NVARCHAR(MAX)') 
,1,1,'')

set @query = 

'SELECT 

[Advisor_Name], [Line_Managers_Name], [SALE_TYPE], ISNULL(TotalSales,0), '
+ @cols + ' 

    From  (
            Select distinct
                    sum([SALES]) 
                                over(partition by [Advisor_Name], [Line_Managers_Name], [SALE_TYPE],    [ENTRY_DATE]) 
                                      [Total]
                                ,    [ENTRY_DATE]
                                ,    [Advisor_Name]
                                ,     [Line_Managers_Name]
                                ,    [SALE_TYPE],
sum([SALES]) 
over(partition by [Advisor_Name], [Line_Managers_Name], [SALE_TYPE]) as TotalSales


            From [Sales_Data] a with (NoLock)        



        )     x

    pivot 

    (
                                      sum([Total]) 
                                      for [ENTRY_DATE] in (' + @colsForPivot + ')
    ) p 


Order by    [Advisor_Name],     [Line_Managers_Name]      

'

print(@query)

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