Sql 按财政年度分组并将这些组作为筛选器应用
我希望建立6个组，客户可分为： 非购买者从未从我们这里购买 本财政年度内首次购买的新购买者 在当前财政年度以及最近第二个财政年度购买的重新激活的买方 在上一财年购买的失效买方，但不是当前财年 连续2年的购买者在当前财政年度和最近一个财政年度购买 在过去3或4个财政年度，连续3-4年的购买者每年购买 连续5年以上的购买者在每个财政年度购买至少5年 我将使用的财政年度为4月1日至3月31日，并将使用以下表格：Sql 按财政年度分组并将这些组作为筛选器应用,sql,sql-server,sql-server-2005,Sql,Sql Server,Sql Server 2005,我希望建立6个组，客户可分为： 非购买者从未从我们这里购买 本财政年度内首次购买的新购买者 在当前财政年度以及最近第二个财政年度购买的重新激活的买方 在上一财年购买的失效买方，但不是当前财年 连续2年的购买者在当前财政年度和最近一个财政年度购买 在过去3或4个财政年度，连续3-4年的购买者每年购买 连续5年以上的购买者在每个财政年度购买至少5年 我将使用的财政年度为4月1日至3月31日，并将使用以下表格： purchaser (including id (primary key)) purch
purchaser (including id (primary key))
purchases (date_purchased, purchases_purchaser_id)
Davin虽然使用另一个显示5个会计年度的日期范围表可以更轻松一些，但我已经为您的查询硬编码了起始/截止日期参考，并且似乎正在工作 内部选择将根据给定日期范围内的任何一次或多次购买预收集标志。。。例如：2010年4月1日=20100401，日期转换为2011年3月31日=20110331，并循环过去5年。。。此外，在“实际购买”表中有一个标记，用于统计任何购买日期，以确认从未购买过的与购买6、7年或更久历史的人 该查询的基础将基本上创建一个可能发生活动的各个年份的交叉表。然后，我可以用最详细的条件查询它们分类的某些标题，直到最不 我尽可能地从另一种SQL语言转换，以遵守SQL Server语法，主要是关于日期转换，但除此之外，原则和查询确实有效。。。最后一个分类列是character，但可以是您想要替代的任何列
SELECT
id,
CASE
WHEN year1 + year2 + year3 + year4 + year5 = 5 THEN "5+yrs "
WHEN year1 + year2 + year3 + year4 >= 3 THEN "3-4yrs"
WHEN year1 + year2 = 2, "2yrs "
WHEN year1 = 1 AND year2 = 0 AND year3 = 1 THEN "Reacti"
WHEN year1 = 1 THEN "New "
WHEN year1 = 0 AND year2 = 1 THEN "Lapsed"
WHEN AnyPurchase = 1, "over5"
ELSE "never" BuyerClassification
END
FROM
( SELECT
id,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20100401", 112 )
AND date_purchased <= CONVERT( Date, "20110331", 112 )
THEN 1 ELSE 0 END ) Year1,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20090401", 112 )
AND date_purchased <= CONVERT( Date, "20100331", 112 )
THEN 1 ELSE 0 END ) Year2,
MAX( CASE WEHEN date_purchased >= CONVERT( Date, "20080401", 112 )
AND date_purchased <= CONVERT( Date, "20090331", 112 )
THEN 1 ELSE 0 END ) Year3,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20070401", 112 )
AND date_purchased <= CONVERT( Date, "20080331", 112 )
THEN 1 ELSE 0 END ) Year4,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20060401", 112 )
AND date_purchased <= CONVERT( Date, "20070331", 112 )
THEN 1 ELSE 0 END ) Year5,
MAX( CASE WHEN date_purchased <= CONVERT( Date, "20100401", 112 )
THEN 1 ELSE 0 END ) AnyPurchase
FROM
purchaser LEFT OUTER JOIN purchases
ON purchaser.id = purchases.purchases_purchaser_id
GROUP BY
1 ) PreGroup1
虽然它可以工作，但可能没有其他人通过分析查询而插话的效率高，但它可能会让您对一些查询和聚合技术有所了解。这个过程基本上是通过使用内部SQL Select上的case/when构造和最外部SQL Select中的最终分类来创建一种交叉表。尽管使用另一个显示5个会计年度的日期范围表可以更容易地完成，我已经为您的查询硬编码了起始/截止日期的参考资料，似乎正在工作 内部选择将根据给定日期范围内的任何一次或多次购买预收集标志。。。例如：2010年4月1日=20100401，日期转换为2011年3月31日=20110331，并循环过去5年。。。此外，在“实际购买”表中有一个标记，用于统计任何购买日期，以确认从未购买过的与购买6、7年或更久历史的人 该查询的基础将基本上创建一个可能发生活动的各个年份的交叉表。然后，我可以用最详细的条件查询它们分类的某些标题，直到最不 我尽可能地从另一种SQL语言转换，以遵守SQL Server语法，主要是关于日期转换，但除此之外，原则和查询确实有效。。。最后一个分类列是character，但可以是您想要替代的任何列
SELECT
id,
CASE
WHEN year1 + year2 + year3 + year4 + year5 = 5 THEN "5+yrs "
WHEN year1 + year2 + year3 + year4 >= 3 THEN "3-4yrs"
WHEN year1 + year2 = 2, "2yrs "
WHEN year1 = 1 AND year2 = 0 AND year3 = 1 THEN "Reacti"
WHEN year1 = 1 THEN "New "
WHEN year1 = 0 AND year2 = 1 THEN "Lapsed"
WHEN AnyPurchase = 1, "over5"
ELSE "never" BuyerClassification
END
FROM
( SELECT
id,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20100401", 112 )
AND date_purchased <= CONVERT( Date, "20110331", 112 )
THEN 1 ELSE 0 END ) Year1,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20090401", 112 )
AND date_purchased <= CONVERT( Date, "20100331", 112 )
THEN 1 ELSE 0 END ) Year2,
MAX( CASE WEHEN date_purchased >= CONVERT( Date, "20080401", 112 )
AND date_purchased <= CONVERT( Date, "20090331", 112 )
THEN 1 ELSE 0 END ) Year3,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20070401", 112 )
AND date_purchased <= CONVERT( Date, "20080331", 112 )
THEN 1 ELSE 0 END ) Year4,
MAX( CASE WHEN date_purchased >= CONVERT( Date, "20060401", 112 )
AND date_purchased <= CONVERT( Date, "20070331", 112 )
THEN 1 ELSE 0 END ) Year5,
MAX( CASE WHEN date_purchased <= CONVERT( Date, "20100401", 112 )
THEN 1 ELSE 0 END ) AnyPurchase
FROM
purchaser LEFT OUTER JOIN purchases
ON purchaser.id = purchases.purchases_purchaser_id
GROUP BY
1 ) PreGroup1
最外层SQL Select中的最终分类。MS SQL Server在2000年、2005年和2008年工作
SET NOCOUNT ON
CREATE TABLE #purchasers (purchaser_id int, pName varchar(20))
Insert Into #purchasers values (0, 'Non-purchaser')
Insert Into #purchasers values (1, 'New purchaser')
Insert Into #purchasers values (2, 'Reactivated')
Insert Into #purchasers values (3, 'Lapsed')
Insert Into #purchasers values (4, '2 yr Consecutive')
Insert Into #purchasers values (5, '3 yr consecutive')
Insert Into #purchasers values (6, '4 yr consecutive')
Insert Into #purchasers values (7, '5+ year consecutive')
Insert Into #purchasers values (8, 'Uncategorized')
Insert Into #purchasers values (9, 'old one')
CREATE TABLE #purchases (date_purchased datetime, purchases_purchaser_id int)
Insert Into #purchases values ('2010/05/03', 1)
Insert Into #purchases values ('2007/05/03', 2)
Insert Into #purchases values ('2008/05/03', 2)
Insert Into #purchases values ('2010/05/03', 2)
Insert Into #purchases values ('2008/05/03', 3)
Insert Into #purchases values ('2009/05/03', 3)
Insert Into #purchases values ('2009/05/03', 4)
Insert Into #purchases values ('2010/05/03', 4)
Insert Into #purchases values ('2008/05/03', 5)
Insert Into #purchases values ('2009/05/03', 5)
Insert Into #purchases values ('2010/05/03', 5)
Insert Into #purchases values ('2007/05/03', 6)
Insert Into #purchases values ('2008/05/03', 6)
Insert Into #purchases values ('2009/05/03', 6)
Insert Into #purchases values ('2010/05/03', 6)
Insert Into #purchases values ('2004/05/03', 7)
Insert Into #purchases values ('2005/05/03', 7)
Insert Into #purchases values ('2006/05/03', 7)
Insert Into #purchases values ('2007/05/03', 7)
Insert Into #purchases values ('2008/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2010/05/03', 7)
Insert Into #purchases values ('2007/05/03', 8)
Insert Into #purchases values ('2000/05/03', 9)
Select p.pName,
p.purchaser_id,
isNull(a.[2005],0) as [Bef.2006],
isNull(a.[2006],0) as [2006],
isNull(a.[2007],0) as [2007],
isNull(a.[2008],0) as [2008],
isNull(a.[2009],0) as [2009],
isNull(a.[2010],0) as [2010],
isNull(a.Category, 'Non-purchaser') as Category
From #purchasers p
Left Join
(
Select purchases_purchaser_id, [2005],[2006],[2007],[2008],[2009],[2010],
Case When [2006]+[2007]+[2008]+[2009]+[2010] = 5 Then '5+ year consecutive'
When [2008]+[2009]+[2010] = 3 Then '3-4 yr consecutive'
When [2009]+[2010] = 2 Then '2 yr Consecutive'
When [2009]=1 and [2010]=0 Then 'Lapsed'
When [2008]=1 and [2009]=0 and [2010]=1 Then 'Reactivated'
When [2006]+[2007]+[2008]+[2009]=0 and [2010]=1 Then 'New'
When [2006]+[2007]+[2008]+[2009]+[2010] = 0 Then 'Non-purchaser in last 5 yrs'
Else 'non categorized'
End as Category
From (
Select purchases_purchaser_id,
Case When date_purchased < '2006/04/01' Then 2005
Else Year(date_purchased)- Case When month(date_purchased)<4 Then -1 else 0 end
end as fiscalYear, count(*) as nPurchases
From #purchases
Group by purchases_purchaser_id,
Case When date_purchased < '2006/04/01' Then 2005
Else Year(date_purchased)- Case When month(date_purchased)<4 Then -1 else 0 end
end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([2005],[2006],[2007],[2008],[2009],[2010]) ) pvt
) as a
on p.purchaser_id=a.purchases_purchaser_id
MS SQL Server在2000年、2005年和2008年工作
SET NOCOUNT ON
CREATE TABLE #purchasers (purchaser_id int, pName varchar(20))
Insert Into #purchasers values (0, 'Non-purchaser')
Insert Into #purchasers values (1, 'New purchaser')
Insert Into #purchasers values (2, 'Reactivated')
Insert Into #purchasers values (3, 'Lapsed')
Insert Into #purchasers values (4, '2 yr Consecutive')
Insert Into #purchasers values (5, '3 yr consecutive')
Insert Into #purchasers values (6, '4 yr consecutive')
Insert Into #purchasers values (7, '5+ year consecutive')
Insert Into #purchasers values (8, 'Uncategorized')
Insert Into #purchasers values (9, 'old one')
CREATE TABLE #purchases (date_purchased datetime, purchases_purchaser_id int)
Insert Into #purchases values ('2010/05/03', 1)
Insert Into #purchases values ('2007/05/03', 2)
Insert Into #purchases values ('2008/05/03', 2)
Insert Into #purchases values ('2010/05/03', 2)
Insert Into #purchases values ('2008/05/03', 3)
Insert Into #purchases values ('2009/05/03', 3)
Insert Into #purchases values ('2009/05/03', 4)
Insert Into #purchases values ('2010/05/03', 4)
Insert Into #purchases values ('2008/05/03', 5)
Insert Into #purchases values ('2009/05/03', 5)
Insert Into #purchases values ('2010/05/03', 5)
Insert Into #purchases values ('2007/05/03', 6)
Insert Into #purchases values ('2008/05/03', 6)
Insert Into #purchases values ('2009/05/03', 6)
Insert Into #purchases values ('2010/05/03', 6)
Insert Into #purchases values ('2004/05/03', 7)
Insert Into #purchases values ('2005/05/03', 7)
Insert Into #purchases values ('2006/05/03', 7)
Insert Into #purchases values ('2007/05/03', 7)
Insert Into #purchases values ('2008/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2009/05/03', 7)
Insert Into #purchases values ('2010/05/03', 7)
Insert Into #purchases values ('2007/05/03', 8)
Insert Into #purchases values ('2000/05/03', 9)
Select p.pName,
p.purchaser_id,
isNull(a.[2005],0) as [Bef.2006],
isNull(a.[2006],0) as [2006],
isNull(a.[2007],0) as [2007],
isNull(a.[2008],0) as [2008],
isNull(a.[2009],0) as [2009],
isNull(a.[2010],0) as [2010],
isNull(a.Category, 'Non-purchaser') as Category
From #purchasers p
Left Join
(
Select purchases_purchaser_id, [2005],[2006],[2007],[2008],[2009],[2010],
Case When [2006]+[2007]+[2008]+[2009]+[2010] = 5 Then '5+ year consecutive'
When [2008]+[2009]+[2010] = 3 Then '3-4 yr consecutive'
When [2009]+[2010] = 2 Then '2 yr Consecutive'
When [2009]=1 and [2010]=0 Then 'Lapsed'
When [2008]=1 and [2009]=0 and [2010]=1 Then 'Reactivated'
When [2006]+[2007]+[2008]+[2009]=0 and [2010]=1 Then 'New'
When [2006]+[2007]+[2008]+[2009]+[2010] = 0 Then 'Non-purchaser in last 5 yrs'
Else 'non categorized'
End as Category
From (
Select purchases_purchaser_id,
Case When date_purchased < '2006/04/01' Then 2005
Else Year(date_purchased)- Case When month(date_purchased)<4 Then -1 else 0 end
end as fiscalYear, count(*) as nPurchases
From #purchases
Group by purchases_purchaser_id,
Case When date_purchased < '2006/04/01' Then 2005
Else Year(date_purchased)- Case When month(date_purchased)<4 Then -1 else 0 end
end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([2005],[2006],[2007],[2008],[2009],[2010]) ) pvt
) as a
on p.purchaser_id=a.purchases_purchaser_id
这里是动态版本
Declare @currentYear int
Declare @OlderThan5yrs datetime
Set @currentYear = Year(GetDate()) - Case When month(GetDate())<4 then 1 else 0 end
Set @OlderThan5yrs = cast(cast( @currentYear-5 as varchar(4))+'/04/01' as datetime)
Select p.pName,
p.purchaser_id,
isNull(a.[5+YrAgo],0) as [5+YrAgo],
isNull(a.[4YrAgo], 0) as [4YrAgo],
isNull(a.[3YrAgo], 0) as [3YrAgo],
isNull(a.[2YrAgo], 0) as [2YrAgo],
isNull(a.[1YrAgo], 0) as [1YrAgo],
isNull(a.[CurYr], 0) as [CurYr],
isNull(a.Category, 'Non-purchaser (ever)') as Category
From purchasers p
Left Join
(
Select purchases_purchaser_id,
[5] as [5+YrAgo],
[4] as [4YrAgo],
[3] as [3YrAgo],
[2] as [2YrAgo],
[1] as [1YrAgo],
[0] as [CurYr],
Case When [4]+[3]+[2]+[1]+[0] = 5 Then '5+ year consecutive'
When [2]+[1]+[0] = 3 Then '3-4 yr consecutive'
When [1]+[0] = 2 Then '2 yr Consecutive'
When [1]=1 and [0]=0 Then 'Lapsed'
When [2]=1 and [1]=0 and [0]=1 Then 'Reactivated'
When [4]+[3]+[2]+[1]=0 and [0]=1 Then 'New'
When [4]+[3]+[2]+[1]+[0] = 0 Then 'Non-purchaser (last 5 yrs)'
Else 'non categorized'
End as Category
From (
Select purchases_purchaser_id,
Case When date_purchased < @OlderThan5yrs Then 5
Else @currentYear - Year(date_purchased)+ Case When month(date_purchased)<4 Then 1 else 0 end
end as fiscalYear, count(*) as nPurchases
From purchases
Group by purchases_purchaser_id,
Case When date_purchased < @OlderThan5yrs Then 5
Else @currentYear - Year(date_purchased)+ Case When month(date_purchased)<4 Then 1 else 0 end
end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([5],[4],[3],[2],[1],[0]) ) pvt
) as a
on p.purchaser_id=a.purchases_purchaser_id
Table purchasers ( purchaser_id int, pName varchar(20))
Table purchases (purchases_purchaser_id int, date_purchased datetime)
;With AggData as (
Select purchases_purchaser_id,
Case When [4]+[3]+[2]+[1]+[0] = 5 Then 1 end as [Consec5],
Case When [4]=0 and [2]+[1]+[0] = 3 Then 1 end as [Consec34],
Case When [2]=0 and [1]+[0] = 2 Then 1 end as [Consec2],
Case When [1]=1 and [0]=0 Then 1 end as [Lapsed],
Case When [2]=1 and [1]=0 and [0]=1 Then 1 end as [Reactivated],
Case When [4]+[3]+[2]+[1]=0 and [0]=1 Then 1 end as [New],
Case When [4]+[3]+[2]>0 and [1]+[0]=0 Then 1 end as [Uncateg]
From (
Select purchases_purchaser_id,
@currentYear - Year(date_purchased) + Case When month(date_purchased)<4 Then 1 else 0 end as fiscalYear,
count(*) as nPurchases
From purchases
Where date_purchased >= @OlderThan5yrs
Group by purchases_purchaser_id,
@currentYear - Year(date_purchased) + Case When month(date_purchased)<4 Then 1 else 0 end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([4],[3],[2],[1],[0]) ) pvt
)
Select count([Consec5]) as [Consec5],
count([Consec34]) as [Consec34],
count([Consec2]) as [Consec2],
count([Lapsed]) as [Lapsed],
count([Reactivated]) as [Reactivated],
count([New]) as [New],
count(*)-count(a.purchases_purchaser_id) as [Non],
count([Uncateg]) as [Uncateg]
From purchasers p
Left Join AggData as a
on p.purchaser_id=a.purchases_purchaser_id
这里是动态版本
Declare @currentYear int
Declare @OlderThan5yrs datetime
Set @currentYear = Year(GetDate()) - Case When month(GetDate())<4 then 1 else 0 end
Set @OlderThan5yrs = cast(cast( @currentYear-5 as varchar(4))+'/04/01' as datetime)
Select p.pName,
p.purchaser_id,
isNull(a.[5+YrAgo],0) as [5+YrAgo],
isNull(a.[4YrAgo], 0) as [4YrAgo],
isNull(a.[3YrAgo], 0) as [3YrAgo],
isNull(a.[2YrAgo], 0) as [2YrAgo],
isNull(a.[1YrAgo], 0) as [1YrAgo],
isNull(a.[CurYr], 0) as [CurYr],
isNull(a.Category, 'Non-purchaser (ever)') as Category
From purchasers p
Left Join
(
Select purchases_purchaser_id,
[5] as [5+YrAgo],
[4] as [4YrAgo],
[3] as [3YrAgo],
[2] as [2YrAgo],
[1] as [1YrAgo],
[0] as [CurYr],
Case When [4]+[3]+[2]+[1]+[0] = 5 Then '5+ year consecutive'
When [2]+[1]+[0] = 3 Then '3-4 yr consecutive'
When [1]+[0] = 2 Then '2 yr Consecutive'
When [1]=1 and [0]=0 Then 'Lapsed'
When [2]=1 and [1]=0 and [0]=1 Then 'Reactivated'
When [4]+[3]+[2]+[1]=0 and [0]=1 Then 'New'
When [4]+[3]+[2]+[1]+[0] = 0 Then 'Non-purchaser (last 5 yrs)'
Else 'non categorized'
End as Category
From (
Select purchases_purchaser_id,
Case When date_purchased < @OlderThan5yrs Then 5
Else @currentYear - Year(date_purchased)+ Case When month(date_purchased)<4 Then 1 else 0 end
end as fiscalYear, count(*) as nPurchases
From purchases
Group by purchases_purchaser_id,
Case When date_purchased < @OlderThan5yrs Then 5
Else @currentYear - Year(date_purchased)+ Case When month(date_purchased)<4 Then 1 else 0 end
end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([5],[4],[3],[2],[1],[0]) ) pvt
) as a
on p.purchaser_id=a.purchases_purchaser_id
Table purchasers ( purchaser_id int, pName varchar(20))
Table purchases (purchases_purchaser_id int, date_purchased datetime)
;With AggData as (
Select purchases_purchaser_id,
Case When [4]+[3]+[2]+[1]+[0] = 5 Then 1 end as [Consec5],
Case When [4]=0 and [2]+[1]+[0] = 3 Then 1 end as [Consec34],
Case When [2]=0 and [1]+[0] = 2 Then 1 end as [Consec2],
Case When [1]=1 and [0]=0 Then 1 end as [Lapsed],
Case When [2]=1 and [1]=0 and [0]=1 Then 1 end as [Reactivated],
Case When [4]+[3]+[2]+[1]=0 and [0]=1 Then 1 end as [New],
Case When [4]+[3]+[2]>0 and [1]+[0]=0 Then 1 end as [Uncateg]
From (
Select purchases_purchaser_id,
@currentYear - Year(date_purchased) + Case When month(date_purchased)<4 Then 1 else 0 end as fiscalYear,
count(*) as nPurchases
From purchases
Where date_purchased >= @OlderThan5yrs
Group by purchases_purchaser_id,
@currentYear - Year(date_purchased) + Case When month(date_purchased)<4 Then 1 else 0 end
) as AggData
PIVOT ( count(nPurchases) for fiscalYear in ([4],[3],[2],[1],[0]) ) pvt
)
Select count([Consec5]) as [Consec5],
count([Consec34]) as [Consec34],
count([Consec2]) as [Consec2],
count([Lapsed]) as [Lapsed],
count([Reactivated]) as [Reactivated],
count([New]) as [New],
count(*)-count(a.purchases_purchaser_id) as [Non],
count([Uncateg]) as [Uncateg]
From purchasers p
Left Join AggData as a
on p.purchaser_id=a.purchases_purchaser_id
你的SQL Server版本是什么？我正在使用2005年你的SQL Server版本是什么？我正在使用2005年谢谢，看起来棒极了！对不起，这个问题太愚蠢了，但是分组前1组指的是什么？该组是否应改为使用purchaser.id？也可以将日期设置为滚动5年，而不是硬编码，例如：SET@year=CONVERTNVARCHAR7，YEARGETDATE SET@pyear=CONVERTNVARCHAR7，YEARGETDATE-1将@yr_start=CAST'01/04/'+@pyear设置为DATETIME集@yr_end=CAST'31/03/'+@year设置为DATETIME，因为我是SQL新手，不确定这是否毫无意义！再次非常感谢，Davin:-您的For BuyerClassification条件必须修改，但没有反映初始条件-您的方法对purchases表执行10次表扫描，如果您有大量行，这是无效的-语法不正确：缺少一些THEN子句，别名BuyerClassification应位于END子句之后，不是之前，Max应该在末尾和列别名之间有右括号。时间/IO比较1000000行在purchases:DRApp表“purchases”中。扫描计数10，逻辑读取5774。。。表“购买者”。扫描计数1，逻辑读取2。。。CPU时间=1669毫秒，运行时间=1678毫秒。Niikola：表“工作台”。扫描计数0，逻辑读取0。。。表“采购”。扫描计数1，逻辑读取2598。。。表“购买者”。扫描计数1，逻辑读取2。。。CPU时间=827毫秒，运行时间=798毫秒。谢谢，看起来棒极了！对不起，这个问题太愚蠢了，但是分组前1组指的是什么？该组是否应改为使用purchaser.id？也可以将日期设置为滚动5年，而不是硬编码，例如：SET@year=CONVERTNVARCHAR7，YEARGETDATE SET@pyear=CONVERTNVARCHAR7，YEARGETDATE-1将@yr_start=CAST'01/04/'+@pyear设置为DATETIME集@yr_end=CAST'31/03/'+@year设置为DATETIME，因为我是SQL新手，不确定这是否毫无意义！再次非常感谢，Davin:-您的For BuyerClassification条件必须修改，但没有反映初始条件-您的方法对purchases表执行10次表扫描，如果您有大量行，这是无效的-语法不正确：缺少一些THEN子句，别名BuyerClassification应位于END子句之后，不是之前，Max应该在末尾和列别名之间有右括号。时间/IO比较1000000行在purchases:DRApp表“purchases”中。扫描计数10，逻辑读取5774。。。表“购买者”。扫描计数1，逻辑读取2。。。CPU时间=1669毫秒，运行时间=1678毫秒。Niikola：表“工作台”。扫描计数0，逻辑读取0。。。表“采购”。扫描计数1，逻辑读取2598。。。表“购买者”。扫描计数1，逻辑读取2。。。CPU时间=827毫秒，运行时间=798毫秒。非常感谢：我担心我有点搞不清楚我到底是如何实现这一点的，因为提取的数据都是指预填充的临时表？将其重定向到实际数据源时，是否不需要实际创建临时表？对不起，如果这是一个愚蠢的问题！这些临时表只是模拟您的数据。您应该用真实的表名更改表名。我创建这些表和填充数据只是为了使测试更容易——您可以复制整个代码并执行它，以查看查询是否返回您期望的结果。顺便说一句，有些情况没有涵盖，我将它们标记为未分类。过去5年中从未购买和未购买的购买者之间也存在差异。如果您只想覆盖当前和前4年，而忽略之前的所有内容，则可以使查询速度更快，在“从购买：何处购买日期>=”2006/04/01“之后添加WHERE子句。对于下面的查询，它将是购买日期>=@OlderThan5yrs。在这两个查询中，您都可以删除列[2005]和[5]。非常感谢这一点：我恐怕有点困惑，我实际上是如何实现这一点的，因为数据pul
led all是指已预填充的临时表？将其重定向到实际数据源时，是否不需要实际创建临时表？对不起，如果这是一个愚蠢的问题！这些临时表只是模拟您的数据。您应该用真实的表名更改表名。我创建这些表和填充数据只是为了使测试更容易——您可以复制整个代码并执行它，以查看查询是否返回您期望的结果。顺便说一句，有些情况没有涵盖，我将它们标记为未分类。过去5年中从未购买和未购买的购买者之间也存在差异。如果您只想覆盖当前和前4年，而忽略之前的所有内容，则可以使查询速度更快，在“从购买：何处购买日期>=”2006/04/01“之后添加WHERE子句。对于下面的查询，它将是购买日期>=@OlderThan5yrs。在这两个查询中，您都可以删除列[2005]和[5]。哇！再次感谢您在我之前回复您查询的动态版本之前没有看到它，它会出现一条错误消息“无效对象名称”purchaser还请您澄清为什么p.purchaser\u id=a.purchases\u purchaser\u id结尾不是：p.purchaser\u id=a.purchases.purchaser\u id？因为“购买”是一个完全独立的表？如果您给采购表一个类似ps的别名，它会抛出错误吗？正如我在上面所问的，如果您能澄清p.pName如何适合我之前存在的数据库，那将是非常棒的：正如我前面所说的，您必须修改表名和列名以适合您的模式。如果在purchases表中purchaser id列名是相同的purchaser\u id，则只需将所有purchases\u purchaser\u id替换为purchaser\u id a.purchases\u purchaser\u id将是a.purchaser\u id.pName，我添加该名称只是为了更容易检查我们是否获得了所需的数据，我插入了与purchaser name匹配的数据：-。如果有，您可以使用“采购商名称”列，也可以从“选择”中删除该列。抱歉，继续提问，但我将如何计算每个pName的总计，即，不是为每个客户单独计算一行，而是总共只有九行，每个pName类别1行-如我所示；我不习惯旋转，我不确定我需要在哪里添加计数函数！！再一次，非常感谢，这是一个真正的救命恩人：我用总数更新了帖子。顺便说一句，pName是购买者的名字，而不是类别——我只是把名字放在与预期类别相同的地方，但在现实生活中它必须是个人/公司的名字，它在购买者表中。哇！再次感谢您在我之前回复您查询的动态版本之前没有看到它，它会出现一条错误消息“无效对象名称”purchaser还请您澄清为什么p.purchaser\u id=a.purchases\u purchaser\u id结尾不是：p.purchaser\u id=a.purchases.purchaser\u id？因为“购买”是一个完全独立的表？如果您给采购表一个类似ps的别名，它会抛出错误吗？正如我在上面所问的，如果您能澄清p.pName如何适合我之前存在的数据库，那将是非常棒的：正如我前面所说的，您必须修改表名和列名以适合您的模式。如果在purchases表中purchaser id列名是相同的purchaser\u id，则只需将所有purchases\u purchaser\u id替换为purchaser\u id a.purchases\u purchaser\u id将是a.purchaser\u id.pName，我添加该名称只是为了更容易检查我们是否获得了所需的数据，我插入了与purchaser name匹配的数据：-。如果有，您可以使用“采购商名称”列，也可以从“选择”中删除该列。抱歉，继续提问，但我将如何计算每个pName的总计，即，不是为每个客户单独计算一行，而是总共只有九行，每个pName类别1行-如我所示；我不习惯旋转，我不确定我需要在哪里添加计数函数！！再一次，非常感谢，这是一个真正的救命恩人：我用总数更新了帖子。顺便说一句，pName是购买者的名字，而不是类别——我只是把名字和预期的类别放在一起，但在现实生活中它必须是个人/公司的名字，它在购买者表中。