我希望建立6个客户群的小组：
非购买者（从未向我们购买）
新购买者（本财政年度内首次购买）
重新激活的购买者（在当前财政年度购买，也在最近的第二年购买）
失效购买者（在上一个财政年度购买但不是当前购买者）
2年连续购买者（已在本财政年度购买，最近一次购买）
3-4岁的连续购买者（过去3或4个财政年度每年购买）
5年以上的连续购买者（每个财政年度购买至少5年）
我将使用的财政年度将从4月1日到3月31日，并将使用下表：
purchaser (including id (primary key))
purchases (date_purchased, purchases_purchaser_id)
如果表格在purchaser_id = purchases_purchaser_id上加入，并且每个购买者可以在任何财政年度内进行多次购买（因此可能按年份分组）
这让我很生气，所以任何帮助都会受到重视！
谢谢， 达文
答案 0 :(得分：2)
这是动态版
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
<强>更新：
这是我在先前查询中插入数据的结果（您必须在查询中添加＃表名）。
pName purchaser_id 5+YrAgo 4YrAgo 3YrAgo 2YrAgo 1YrAgo CurYr Category
-------------------- ------------ ------- ------ ------ ------ ------ ----- --------------------------
Non-purchaser 0 0 0 0 0 0 0 Non-purchaser (ever)
New purchaser 1 0 0 0 0 0 1 New
Reactivated 2 0 0 1 1 0 1 Reactivated
Lapsed 3 0 0 0 1 1 0 Lapsed
2 yr Consecutive 4 0 0 0 0 1 1 2 yr Consecutive
3 yr consecutive 5 0 0 0 1 1 1 3-4 yr consecutive
4 yr consecutive 6 0 0 1 1 1 1 3-4 yr consecutive
5+ year consecutive 7 1 1 1 1 1 1 5+ year consecutive
Uncategorized 8 0 0 1 0 0 0 non categorized
old one 9 1 0 0 0 0 0 Non-purchaser (last 5 yrs)
您也不需要列[5 + YrAgo]，[4YrAgo]，[3YrAgo]，[2YrAgo]，[1YrAgo]和[CurYr]。 我添加它们以便更容易检查查询逻辑。
更新2
以下是您在评论中询问的查询。 注意 我在查询中使用的表结构是：
Table purchasers ( purchaser_id int, pName varchar(20))
Table purchases (purchases_purchaser_id int, date_purchased datetime)
并且购买时有外键（purchases_purchaser_id）引用购买（purchaser_id）。
;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
结果（使用上一篇文章中的测试数据）
Consec5 Consec34 Consec2 Lapsed Reactivated New Non Uncateg
------- -------- ------- ------ ----------- --- --- -------
1 2 1 1 1 1 2 1
答案 1 :(得分：1)
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地完成，但我已经为您的查询硬编码了来自/到日期的参考资料并且似乎正在运作...
INNER Select将根据给定日期范围内的任何一次或多次购买预先收集“旗帜”...例如：2010年4月1日=“20100401”，日期转换为2011年3月31日=“20110331 “，并且在过去的5年中循环...此外，在实际购买表中购买日期以确定”从未购买“与购买6,7或更早年历史的人的任意数据......
查询的基础将基本上创建一个活动发生的可能个别年份的交叉表。然后我可以用最详细的标准查询他们的分类标题，至少......
我尽可能地从另一种SQL语言转换为符合SQL-Server语法（主要是关于日期转换），但除此之外，原则和查询都有效...最终的分类列是字符，但可以是无论你想取代什么。
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
编辑 - 通过语法转换修复了parens并错过了它...
“分组1”是指通过查询中的第一列进行分组，该分组是来自购买者的购买者ID。通过左外连接将保证购买者表中的所有可能的人，无论是否有任何实际购买。 “PreGroup1”是select语句的“别名”，以防你想在最外面的select中进行其他连接，检测年份值进行分类。
尽管它可以正常工作，但可能不如其他人通过对查询进行分析所做的那样有效，但它可能会让您开始思考一些查询和聚合技术。这个过程基本上是通过在内部SQL-Select上使用case / when构造创建一个交叉表，并在OUTER中使用大多数SQL-Select进行最终分类。
答案 2 :(得分：1)
MS SQL Server（适用于2000,2005,2008）
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