考虑搜索包含公寓租赁信息的表：使用该界面的客户端选择在数据库中表示为位字段的多个条件,例如：
> AllowPets
> HasParking
> HasDeck
> ModernKitchen
等等..
我们面临的情况是,我们软件的每个新客户都有他们希望允许最终用户搜索的其他字段.位字段的数量可以达到数百个.
>当前方法：添加更多位字段,动态构建SQL查询并使用EXEC执行：SET @sql = @sql’l.[NumUnits],’exec(@sql))
继续添加更多位字段. (300列的表？)
>将数据表示为一个字段中的一系列位.我不清楚这种方法是否有效,考虑我上面提供的4个样本位字段.该字段可能如下所示：1011表示“hasparking”为false,但对所有其他字段为true.我不清楚你是如何构建一个你不关心它是否为真或假的查询,例如1？11,搜索者需要1,3和4才是真的但不关心’HasParking’是真还是假.
>转到基于属性的方法,其中有一个表’AttributeTypeID’和一个表PropertyAttributes,它将PropertyID连接到AttributeTypeId,新的位字段只是AttributeTypeID表中的一行.
谢谢你的帮助
KM-编辑评论
attribute table has a few other rows in it and is called listingattributes
CREATE TABLE [dbo].[ListingAttributes](
[ListingID] [bigint] NOT NULL,[AttributeID] [int] IDENTITY(1,1) NOT NULL,[AttributeType] [smallint] NOT NULL,[BoardID] [int] NOT NULL,[ListingMLS] [varchar](30) NOT NULL,[PropertyTypeID] [char](3) NOT NULL,[StatusID] [varchar](2) NOT NULL,PRIMARY KEY CLUSTERED
(
[AttributeID] ASC
)WITH (PAD_INDEX = OFF,STATISTICS_NORECOMPUTE = OFF,IGNORE_DUP_KEY = OFF,ALLOW_ROW_LOCKS = ON,ALLOW_PAGE_LOCKS = ON,FILLFACTOR = 80) ON [PRIMARY]
) ON [PRIMARY]
;WITH GetMatchingAttributes AS
(
SELECT
ListingID,COUNT(AttributeID) AS CountOfMatches
FROM ListingAttributes
WHERE
BoardID = 1
AND
StatusID IN ('A')
AND
--PropertyTypeID in (select * from @PropertyType)
--AND
AttributeType IN (2,3,6)
GROUP BY ListingID
HAVING COUNT(AttributeID)=(3)
)
SELECT
count(l.listingid)
FROM Listing l
INNER JOIN GetMatchingAttributes m ON l.ListingID=m.ListingID
-- where
-- StatusID IN (select * from @Status)
--AND
--PropertyTypeID in (select * from @PropertyType) 1 1 0 NULL NULL 1 NULL 1 NULL NULL NULL 0.1934759 NULL NULL SELECT 0 NULL
|--Compute Scalar(DEFINE:([Expr1006]=CONVERT_IMPLICIT(int,[Expr1012],0))) 1 2 1 Compute Scalar Compute Scalar DEFINE:([Expr1006]=CONVERT_IMPLICIT(int,0)) [Expr1006]=CONVERT_IMPLICIT(int,0) 1 0 0.001483165 11 0.1934759 [Expr1006] NULL PLAN_ROW 0 1
|--Stream Aggregate(DEFINE:([Expr1012]=Count(*))) 1 3 2 Stream Aggregate Aggregate NULL [Expr1012]=Count(*) 1 0 0.001483165 11 0.1934759 [Expr1012] NULL PLAN_ROW 0 1
|--Filter(WHERE:([Expr1005]=(3))) 1 4 3 Filter Filter WHERE:([Expr1005]=(3)) NULL 2471.109 0 0.00440886 9 0.1919928 NULL NULL PLAN_ROW 0 1
|--Compute Scalar(DEFINE:([Expr1005]=CONVERT_IMPLICIT(int,[Expr1011],0))) 1 5 4 Compute Scalar Compute Scalar DEFINE:([Expr1005]=CONVERT_IMPLICIT(int,0)) [Expr1005]=CONVERT_IMPLICIT(int,0) 9185.126 0 0.01422281 11 0.1875839 [Expr1005] NULL PLAN_ROW 0 1
|--Stream Aggregate(GROUP BY:(.[dbo].[ListingAttributes].[ListingID]) DEFINE:([Expr1011]=Count(*))) 1 6 5 Stream Aggregate Aggregate GROUP BY:(.[dbo].[ListingAttributes].[ListingID]) [Expr1011]=Count(*) 9185.126 0 0.01422281 11 0.1875839 [Expr1011] NULL PLAN_ROW 0 1
|--Index Seek(OBJECT:(.[dbo].[ListingAttributes].[_dta_index_ListingAttributes_BoardID_ListingID__AttributeType_PropertyTypeID_StatusID_6_7]),SEEK:(.[dbo].[ListingAttributes].[BoardID]=(1)),WHERE:(.[dbo].[ListingAttributes].[StatusID]='A' AND (.[dbo].[ListingAttributes].[AttributeType]=(2) OR .[dbo].[ListingAttributes].[AttributeType]=(3) OR .[dbo].[ListingAttributes].[AttributeType]=(6))) ORDERED FORWARD) 1 7 6 Index Seek Index Seek OBJECT:(.[dbo].[ListingAttributes].[_dta_index_ListingAttributes_BoardID_ListingID__AttributeType_PropertyTypeID_StatusID_6_7]),WHERE:(.[dbo].[ListingAttributes].[StatusID]='A' AND (.[dbo].[ListingAttributes].[AttributeType]=(2) OR .[dbo].[ListingAttributes].[AttributeType]=(3) OR .[dbo].[ListingAttributes].[AttributeType]=(6))) ORDERED FORWARD .[dbo].[ListingAttributes].[ListingID],.[dbo].[ListingAttributes].[AttributeID],.[dbo].[ListingAttributes].[AttributeType],.[dbo].[ListingAttributes].[StatusID] 16050.41 0.09677318 0.0315279 26 0.1283011 .[dbo].[ListingAttributes].[ListingID],.[dbo].[ListingAttributes].[StatusID] NULL PLAN_ROW 0 1
(7 row(s) affected)
@H_404_27@
解决方法
这样的事情可能适合你：
定义表：
CREATE TABLE #Apartments
(
ApartmentID int not null primary key identity(1,1),ApartmentName varchar(500) not null,Status char(1) not null default ('A')
--....
)
CREATE TABLE #AttributeTypes
(
AttributeType smallint not null primary key,AttributeDescription varchar(500) not null
)
CREATE TABLE #Attributes --boolean attributes,if row exists apartment has this attribute
(
ApartmentID int not null --FK to Apartments.ApartmentID,AttributeID int not null primary key identity(1,AttributeType smallint not null --fk to AttributeTypes
)@H_404_27@
插入样本数据：
SET NO COUNT ON
INSERT INTO #Apartments VALUES ('one','A')
INSERT INTO #Apartments VALUES ('two','A')
INSERT INTO #Apartments VALUES ('three','I')
INSERT INTO #Apartments VALUES ('four','I')
INSERT INTO #AttributeTypes VALUES (1,'dishwasher')
INSERT INTO #AttributeTypes VALUES (2,'deck')
INSERT INTO #AttributeTypes VALUES (3,'pool')
INSERT INTO #AttributeTypes VALUES (4,'pets allowed')
INSERT INTO #AttributeTypes VALUES (5,'washer/dryer')
INSERT INTO #AttributeTypes VALUES (6,'Pets Alowed')
INSERT INTO #AttributeTypes VALUES (7,'No Pets')
INSERT INTO #Attributes (ApartmentID,AttributeType) VALUES (1,1)
INSERT INTO #Attributes (ApartmentID,2)
INSERT INTO #Attributes (ApartmentID,3)
INSERT INTO #Attributes (ApartmentID,4)
INSERT INTO #Attributes (ApartmentID,5)
INSERT INTO #Attributes (ApartmentID,6)
INSERT INTO #Attributes (ApartmentID,AttributeType) VALUES (2,7)
INSERT INTO #Attributes (ApartmentID,AttributeType) VALUES (3,4)
INSERT INTO #Attributes (ApartmentID,AttributeType) VALUES (4,2)
SET NOCOUNT OFF@H_404_27@
;WITH GetMatchingAttributes AS
(
SELECT
ApartmentID,COUNT(AttributeID) AS CountOfMatches
FROM #Attributes
WHERE AttributeType IN (1,2,3) --<<change dynamically or split a CSV string and join in
GROUP BY ApartmentID
HAVING COUNT(AttributeID)=3--<<change dynamically or split a CSV string and use COUNT(*) from resulting table
)
SELECT
a.*
FROM #Apartments a
INNER JOIN GetMatchingAttributes m ON a.ApartmentID=m.ApartmentID
WHERE a.Status='A'
ORDER BY m.CountOfMatches DESC@H_404_27@
OUTPUT：
ApartmentID ApartmentName
----------- --------------
1 one
2 two
(2 row(s) affected)@H_404_27@
在上面的搜索查询中,我只是包含了要搜索的属性ID的CSV字符串.实际上,您可以创建一个搜索存储过程,在其中传入包含要搜索的ID的CSV参数.您可以查看this answer以了解可以将CSV字符串无循环拆分到可以加入的表中.这将导致不需要使用任何动态sql.
编辑基于许多评论：
如果向#AttributeTypes表添加几列,则可以动态构建搜索页面.以下是一些建议：
>状态：“A”ctive“I”nactive
> ListOrder：可以使用它来排序以构建屏幕
> ColumnNumber：可以帮助组织同一屏幕行上的字段
> AttributeGroupID：分组字段,见下文
>等
您可以创建所有字段复选框,或添加另一个名为#AttributesGroups的表,并将其组合在一起并使用单选按钮.例如,由于“Pets Allowed”和“No Pets”是独占的,因此在#AttributesGroups表“Pets”中添加一行.应用程序将在界面中对属性进行分组.组中的属性与常规的未组合属性相同,只需收集选定的ID并将其传递给搜索过程.但是,对于每个组,您需要让应用程序包含“无首选项”单选按钮并将其默认打开.此选项没有属性ID,因为您不想考虑该属性,所以不会传入该选项.
在我的示例中,我确实展示了#Apartments中的“超级属性”的示例
表,“状态”.您应该只考虑此表的主要属性.如果您开始使用这些,您可能希望将CTE更改为FROM #Apartments并对这些字段进行过滤,然后加入#Attributes.但是你会遇到Dynamic Search Conditions,so read this article by Erland Sommarskog的问题.
编辑最新评论：
;WITH GetMatchingAttributes AS
(
SELECT
ApartmentID,3) --<<change dynamically or split an include CSV string and join in
GROUP BY ApartmentID
HAVING COUNT(AttributeID)=3--<<change dynamically or split a CSV string and use COUNT(*) from resulting include table
),SomeRemoved AS
(
SELECT
m.ApartmentID
FROM GetMatchingAttributes m
LEFT OUTER JOIN #Attributes a ON m.ApartmentID=a.ApartmentID
AND a.AttributeType IN (5,6) --<<change dynamically or split an exclude CSV string and join in
WHERE a.ApartmentID IS NULL
)
SELECT
a.*
FROM #Apartments a
INNER JOIN SomeRemoved m ON a.ApartmentID=m.ApartmentID
WHERE a.Status='A'@H_404_27@
我不认为我会这样做.我会按照我之前编辑的方法进行操作.当需要包含/排除属性时,我只为每个属性添加一个属性：“允许携带宠物”和“禁止携带宠物”.
我更新了原始帖子中的示例数据以显示此信息.
运行原始查询：
>(..,..,6,..)找到允许携带宠物的公寓
>(..,7,..)找到不允许携带宠物的公寓
>(..,..)如果没有偏好.
