Question

我正在使用AdventureWorks2014数据库并使用以下查询。

select 
SUM(Purchasing.PurchaseOrderDetail.OrderQty) as 'Total Quantity',
SUM(Purchasing.PurchaseOrderDetail.LineTotal) as 'Total Amount',
Purchasing.PurchaseOrderHeader.VendorID

from Purchasing.PurchaseOrderDetail
inner join Purchasing.PurchaseOrderHeader
on Purchasing.PurchaseOrderDetail.PurchaseOrderID =  Purchasing.PurchaseOrderHeader.PurchaseOrderID

group by Purchasing.PurchaseOrderHeader.VendorID, DATEPART(year,Purchasing.PurchaseOrderHeader.OrderDate)
order by Purchasing.PurchaseOrderHeader.VendorID

这给了我以下输出。

|------------------------------------|  
|Total Quantity|Total Amount|VendorID|
|15            |694.1655    |    1492|
|288           |12370.239   |    1492|
|45            |1931.7375   |    1492|
|180           |7682.6295   |    1492|
|9350          |150404.1    |    1494|
|1650          |26541.9     |    1494|
|550           |8847.3      |    1494|
|16500         |265419      |    1494|
|------------------------------------|

据我所知，这是每个供应商的每年数据，即2011,2012,2013和2014年的数据。这就是为什么每个供应商重复4次。

我需要将这些年中的每一年作为输出中的单独列，如下所示。

|--------------------------------------------------------------------------------|
|Total Quantity|Total Amount|VendorID|2011Amount|2012Amount|2013Amount|2014Amount|
|--------------------------------------------------------------------------------|

有什么想法吗？

Answer 1

透视方法，确保在旋转之前首先准备查询。

;WITH cte AS (
    SELECT
       DATEPART(year,poh.OrderDate) as [Year]
       ,SUM(pod.OrderQty) OVER (PARTITION BY DATEPART(year,poh.OrderDate)) as TotalQuantity
       ,SUM(pod.LineTotal) OVER (PARTITION BY DATEPART(year,poh.OrderDate)) as TotalAmount
       ,pod.LineTotal as Amount
    FROM
       Purchasing.PurchaseOrderDetail pod
       INNER JOIN Purchasing.PurchaseOrderHeader poh
       ON pod.PurchaseOrderId = poh.PurchaseOrderId
)

SELECT *
FROm
    cte
    PIVOT (
       SUM(Amount)
       FOR [Year] IN ([2011],[2012],[2013],[2014])
    ) p

条件聚合方法

SELECT
    SUM(pod.OrderQty) as TotalQuantity
    ,SUM(pod.LineTotal) as TotalAmount
    ,SUM(CASE WHEN DATEPART(year,poh.OrderDate) = 2011 THEN pod.LineTotal ELSE 0 END) as [2011Amount]
    ,SUM(CASE WHEN DATEPART(year,poh.OrderDate) = 2012 THEN pod.LineTotal ELSE 0 END) as [2012Amount]
    ,SUM(CASE WHEN DATEPART(year,poh.OrderDate) = 2013 THEN pod.LineTotal ELSE 0 END) as [2013Amount]
    ,SUM(CASE WHEN DATEPART(year,poh.OrderDate) = 2014 THEN pod.LineTotal ELSE 0 END) as [2014Amount]
FROM
    Purchasing.PurchaseOrderDetail pod
    INNER JOIN Purchasing.PurchaseOrderHeader poh
    ON pod.PurchaseOrderId = poh.PurchaseOrderId

在这种情况下，我认为我会使用条件聚合方法.....请注意我使用表别名来引用表而不是继续输入长名称，这是一个很好的习惯。< / p>

这个确切的代码当然是未经测试的，因为您没有包含测试数据和所需的结果，但这些技术是最标准的方法。请注意，当聚合涉及多于1列时，通常最容易进行条件聚合。

根据数据中的年份分割日期列

1 个答案: