用于搜索视图的存储过程

时间：2012-03-07 00:03:19

标签： sql-server sql-server-2005 tsql

长篇文章道歉，我试图为您提供尽可能多的测试环境。

我花了几天时间尽可能地优化这个查询，但我想知道是否有更好的方法来实现相同的结果。

环境是SQL Server 2005.此存储过程代码由Codesmith模板自动生成。

表格设置

USE [TestDatabase]
GO
/****** Object:  Table [dbo].[StateProvince]    Script Date: 03/07/2012 09:57:20 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
SET ANSI_PADDING ON
GO
CREATE TABLE [dbo].[StateProvince](
[StateProvinceID] [int] IDENTITY(1,1) NOT NULL,
[StateProvinceName] [varchar](50) NOT NULL,
CONSTRAINT [PK_StateProvince] PRIMARY KEY CLUSTERED 
(
[StateProvinceID] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
SET ANSI_PADDING OFF
GO
/****** Object:  Table [dbo].[Gender]    Script Date: 03/07/2012 09:57:20 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Gender](
[GenderID] [int] IDENTITY(1,1) NOT NULL,
[GenderName] [nchar](10) NOT NULL,
CONSTRAINT [PK_Gender] PRIMARY KEY CLUSTERED 
(
[GenderID] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  Table [dbo].[Fakename]    Script Date: 03/07/2012 09:57:20 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
CREATE TABLE [dbo].[Fakename](
[FakeNameID] [int] IDENTITY(1,1) NOT NULL,
[gender] [nvarchar](6) NOT NULL,
[givenname] [nvarchar](20) NOT NULL,
[middleinitial] [nvarchar](1) NOT NULL,
[surname] [nvarchar](23) NOT NULL,
[streetaddress] [nvarchar](100) NOT NULL,
[city] [nvarchar](100) NOT NULL,
[zipcode] [nvarchar](15) NOT NULL,
[country] [nvarchar](2) NOT NULL,
[emailaddress] [nvarchar](100) NOT NULL,
[password] [nvarchar](25) NOT NULL,
[telephonenumber] [nvarchar](25) NOT NULL,
[maidenname] [nvarchar](23) NOT NULL,
[birthday] [datetime] NOT NULL,
[cctype] [nvarchar](10) NOT NULL,
[ccnumber] [nvarchar](16) NOT NULL,
[cvv2] [nvarchar](3) NOT NULL,
[ccexpires] [nvarchar](10) NOT NULL,
[nationalid] [nvarchar](15) NOT NULL,
[upstracking] [nvarchar](24) NOT NULL,
[occupation] [nvarchar](70) NOT NULL,
[company] [nvarchar](70) NOT NULL,
[domain] [nvarchar](70) NOT NULL,
[bloodtype] [nvarchar](3) NOT NULL,
[pounds] [decimal](5, 1) NOT NULL,
[kilograms] [decimal](5, 1) NOT NULL,
[feetinches] [nvarchar](6) NOT NULL,
[centimeters] [smallint] NOT NULL,
[guid] [nvarchar](36) NOT NULL,
[latitude] [numeric](10, 6) NOT NULL,
[longitude] [numeric](10, 6) NOT NULL,
[StateProvinceID] [int] NOT NULL,
[GenderID] [int] NULL,
CONSTRAINT [PK_Fakename] PRIMARY KEY CLUSTERED 
(
[FakeNameID] ASC
)WITH (PAD_INDEX  = OFF, STATISTICS_NORECOMPUTE  = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS  = ON, ALLOW_PAGE_LOCKS  = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
/****** Object:  View [dbo].[vw_Fakename]    Script Date: 03/07/2012 09:57:21 ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
--asdf
CREATE VIEW [dbo].[vw_Fakename]
AS
SELECT 
[dbo].Fakename.FakeNameID,
[dbo].Fakename.gender,
[dbo].Fakename.givenname,
[dbo].Fakename.middleinitial,
[dbo].Fakename.surname,
[dbo].Fakename.streetaddress,
[dbo].Fakename.city,
[dbo].Fakename.zipcode,
[dbo].Fakename.country,
[dbo].Fakename.emailaddress,
[dbo].Fakename.password,
[dbo].Fakename.telephonenumber,
[dbo].Fakename.maidenname,
[dbo].Fakename.birthday,
[dbo].Fakename.cctype,
[dbo].Fakename.ccnumber,
[dbo].Fakename.cvv2,
[dbo].Fakename.ccexpires,
[dbo].Fakename.nationalid,
[dbo].Fakename.upstracking,
[dbo].Fakename.occupation,
[dbo].Fakename.company,
[dbo].Fakename.domain,
[dbo].Fakename.bloodtype,
[dbo].Fakename.pounds,
[dbo].Fakename.kilograms,
[dbo].Fakename.feetinches,
[dbo].Fakename.centimeters,
[dbo].Fakename.guid,
[dbo].Fakename.latitude,
[dbo].Fakename.longitude,
[dbo].StateProvince.StateProvinceName,
[dbo].Gender.GenderName
FROM 
[dbo].Fakename
join [dbo].StateProvince ON [dbo].Fakename.StateProvinceID =  [dbo].StateProvince.StateProvinceID
join [dbo].Gender ON [dbo].Fakename.GenderID =  [dbo].Gender.GenderID
GO
/****** Object:  ForeignKey [FK_Fakename_Gender]    Script Date: 03/07/2012 09:57:20 ******/
ALTER TABLE [dbo].[Fakename]  WITH CHECK ADD  CONSTRAINT [FK_Fakename_Gender] FOREIGN KEY([GenderID])
REFERENCES [dbo].[Gender] ([GenderID])
GO
ALTER TABLE [dbo].[Fakename] CHECK CONSTRAINT [FK_Fakename_Gender]
GO
/****** Object:  ForeignKey [FK_Fakename_StateProvince]    Script Date: 03/07/2012 09:57:20 ******/
ALTER TABLE [dbo].[Fakename]  WITH CHECK ADD  CONSTRAINT [FK_Fakename_StateProvince] FOREIGN KEY([StateProvinceID])
REFERENCES [dbo].[StateProvince] ([StateProvinceID])
GO
ALTER TABLE [dbo].[Fakename] CHECK CONSTRAINT [FK_Fakename_StateProvince]
GO

这是一个搜索存储过程，它在fakenames表上搜索多个匹配项，对它们进行排序并允许分页。

USE [TestDatabase]
GO
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
ALTER PROCEDURE [dbo].[vw_Fakename_SelectFilter]
@Filter XML(ViewFilter),
@OrderBy varchar(50),
@OrderByDirection varchar(50),
@iPageSize int                  = 50,
@iPageNumber int                = 0
AS
SET NOCOUNT ON
--DECLARE ALL THE FIELDS WHICH CAN BE SEARCHED ON
DECLARE @FakeNameID INT
DECLARE @gender nvarchar(6)
DECLARE @givenname nvarchar(20)
DECLARE @middleinitial nvarchar(1)
DECLARE @surname nvarchar(23)
DECLARE @streetaddress nvarchar(100)
DECLARE @city nvarchar(100)
DECLARE @zipcode nvarchar(15)
DECLARE @country nvarchar(2)
DECLARE @emailaddress nvarchar(100)
DECLARE @password nvarchar(25)
DECLARE @telephonenumber nvarchar(25)
DECLARE @maidenname nvarchar(23)
DECLARE @cctype nvarchar(10)
DECLARE @ccnumber nvarchar(16)
DECLARE @cvv2 nvarchar(3)
DECLARE @ccexpires nvarchar(10)
DECLARE @nationalid nvarchar(15)
DECLARE @upstracking nvarchar(24)
DECLARE @occupation nvarchar(70)
DECLARE @company nvarchar(70)
DECLARE @domain nvarchar(70)
DECLARE @bloodtype nvarchar(3)
DECLARE @feetinches nvarchar(6)
DECLARE @guid nvarchar(36)
DECLARE @StateProvinceName varchar(50)
--If the @filter doesn't contain anything, then the proc takes like 20 seconds to run
If DATALENGTH(@Filter) <= 0
BEGIN
SET @Filter = '<ArrayOfDataFilter xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"></ArrayOfDataFilter>'
END 
SET @iPageNumber = @iPageNumber + 1
-------------------------------------
--PAGE COUNTING
DECLARE @iStartRecord int
DECLARE @iEndRecord int
SET @iStartRecord = (@iPageNumber - 1) * @iPageSize + 1
SET @iEndRecord = @iPageNumber * @iPageSize     
--SET THOSE VARIABLES
SELECT
@FakeNameID = (SELECT D.element.value('@Value','INT') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','NVARCHAR(256)') = 'FakeNameID'),
@gender = (SELECT D.element.value('@Value','nvarchar(6)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(6)') = 'gender'),
@givenname = (SELECT D.element.value('@Value','nvarchar(20)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(20)') = 'givenname'),
@middleinitial = (SELECT D.element.value('@Value','nvarchar(1)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(1)') = 'middleinitial'),
@surname = (SELECT D.element.value('@Value','nvarchar(23)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(23)') = 'surname'),
@streetaddress = (SELECT D.element.value('@Value','nvarchar(100)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(100)') = 'streetaddress'),
@city = (SELECT D.element.value('@Value','nvarchar(100)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(100)') = 'city'),
@zipcode = (SELECT D.element.value('@Value','nvarchar(15)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(15)') = 'zipcode'),
@country = (SELECT D.element.value('@Value','nvarchar(2)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(2)') = 'country'),
@emailaddress = (SELECT D.element.value('@Value','nvarchar(100)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(100)') = 'emailaddress'),
@password = (SELECT D.element.value('@Value','nvarchar(25)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(25)') = 'password'),
@telephonenumber = (SELECT D.element.value('@Value','nvarchar(25)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(25)') = 'telephonenumber'),
@maidenname = (SELECT D.element.value('@Value','nvarchar(23)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(23)') = 'maidenname'),
@cctype = (SELECT D.element.value('@Value','nvarchar(10)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(10)') = 'cctype'),
@ccnumber = (SELECT D.element.value('@Value','nvarchar(16)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(16)') = 'ccnumber'),
@cvv2 = (SELECT D.element.value('@Value','nvarchar(3)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(3)') = 'cvv2'),
@ccexpires = (SELECT D.element.value('@Value','nvarchar(10)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(10)') = 'ccexpires'),
@nationalid = (SELECT D.element.value('@Value','nvarchar(15)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(15)') = 'nationalid'),
@upstracking = (SELECT D.element.value('@Value','nvarchar(24)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(24)') = 'upstracking'),
@occupation = (SELECT D.element.value('@Value','nvarchar(70)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(70)') = 'occupation'),
@company = (SELECT D.element.value('@Value','nvarchar(70)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(70)') = 'company'),
@domain = (SELECT D.element.value('@Value','nvarchar(70)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(70)') = 'domain'),
@bloodtype = (SELECT D.element.value('@Value','nvarchar(3)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(3)') = 'bloodtype'),
@feetinches = (SELECT D.element.value('@Value','nvarchar(6)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(6)') = 'feetinches'),
@guid = (SELECT D.element.value('@Value','nvarchar(36)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','nvarchar(36)') = 'guid'),
@StateProvinceName = (SELECT D.element.value('@Value','varchar(50)') FROM @Filter.nodes('/ArrayOfDataFilter/DataFilter') AS D ( element ) WHERE D.element.value('@Column','varchar(50)') = 'StateProvinceName')
--CREATE THE TEMP TABLE
CREATE TABLE #Temp (
ROWCOUNTID int IDENTITY PRIMARY KEY,
PK  int
)
--MAGIC HERE
INSERT INTO #Temp 
SELECT  t1.FakeNameID as pk
FROM    dbo.vw_Fakename t1
WHERE   
CAST(FakeNameID as varchar(100)) LIKE CASE WHEN IsNull(@FakeNameID,-1)>0 THEN Cast(@FakeNameID as varchar(100)) ELSE '%' END    AND
gender LIKE CASE WHEN Len(IsNull(@gender,''))>0 THEN @gender ELSE '%' END AND
givenname LIKE CASE WHEN Len(IsNull(@givenname,''))>0 THEN @givenname ELSE '%' END AND
middleinitial LIKE CASE WHEN Len(IsNull(@middleinitial,''))>0 THEN @middleinitial ELSE '%' END AND
surname LIKE CASE WHEN Len(IsNull(@surname,''))>0 THEN @surname ELSE '%' END AND
streetaddress LIKE CASE WHEN Len(IsNull(@streetaddress,''))>0 THEN @streetaddress ELSE '%' END AND
city LIKE CASE WHEN Len(IsNull(@city,''))>0 THEN @city ELSE '%' END AND
zipcode LIKE CASE WHEN Len(IsNull(@zipcode,''))>0 THEN @zipcode ELSE '%' END AND
country LIKE CASE WHEN Len(IsNull(@country,''))>0 THEN @country ELSE '%' END AND
emailaddress LIKE CASE WHEN Len(IsNull(@emailaddress,''))>0 THEN @emailaddress ELSE '%' END AND
password LIKE CASE WHEN Len(IsNull(@password,''))>0 THEN @password ELSE '%' END AND
telephonenumber LIKE CASE WHEN Len(IsNull(@telephonenumber,''))>0 THEN @telephonenumber ELSE '%' END AND
maidenname LIKE CASE WHEN Len(IsNull(@maidenname,''))>0 THEN @maidenname ELSE '%' END AND
cctype LIKE CASE WHEN Len(IsNull(@cctype,''))>0 THEN @cctype ELSE '%' END AND
ccnumber LIKE CASE WHEN Len(IsNull(@ccnumber,''))>0 THEN @ccnumber ELSE '%' END AND
cvv2 LIKE CASE WHEN Len(IsNull(@cvv2,''))>0 THEN @cvv2 ELSE '%' END AND
ccexpires LIKE CASE WHEN Len(IsNull(@ccexpires,''))>0 THEN @ccexpires ELSE '%' END AND
nationalid LIKE CASE WHEN Len(IsNull(@nationalid,''))>0 THEN @nationalid ELSE '%' END AND
upstracking LIKE CASE WHEN Len(IsNull(@upstracking,''))>0 THEN @upstracking ELSE '%' END AND
occupation LIKE CASE WHEN Len(IsNull(@occupation,''))>0 THEN @occupation ELSE '%' END AND
company LIKE CASE WHEN Len(IsNull(@company,''))>0 THEN @company ELSE '%' END AND
domain LIKE CASE WHEN Len(IsNull(@domain,''))>0 THEN @domain ELSE '%' END AND
bloodtype LIKE CASE WHEN Len(IsNull(@bloodtype,''))>0 THEN @bloodtype ELSE '%' END AND
feetinches LIKE CASE WHEN Len(IsNull(@feetinches,''))>0 THEN @feetinches ELSE '%' END AND
guid LIKE CASE WHEN Len(IsNull(@guid,''))>0 THEN @guid ELSE '%' END AND
StateProvinceName LIKE CASE WHEN Len(IsNull(@StateProvinceName,''))>0 THEN @StateProvinceName ELSE '%' END
ORDER BY
CASE WHEN @OrderBy = 'FakeNameID' AND @OrderByDirection = 'asc' THEN FakeNameID END,
CASE WHEN @OrderBy = 'FakeNameID' AND @OrderByDirection = 'desc' THEN FakeNameID END DESC,
CASE WHEN @OrderBy = 'gender' AND @OrderByDirection = 'asc' THEN gender END,
CASE WHEN @OrderBy = 'gender' AND @OrderByDirection = 'desc' THEN gender END DESC,
CASE WHEN @OrderBy = 'givenname' AND @OrderByDirection = 'asc' THEN givenname END,
CASE WHEN @OrderBy = 'givenname' AND @OrderByDirection = 'desc' THEN givenname END DESC,
CASE WHEN @OrderBy = 'middleinitial' AND @OrderByDirection = 'asc' THEN middleinitial END,
CASE WHEN @OrderBy = 'middleinitial' AND @OrderByDirection = 'desc' THEN middleinitial END DESC,
CASE WHEN @OrderBy = 'surname' AND @OrderByDirection = 'asc' THEN surname END,
CASE WHEN @OrderBy = 'surname' AND @OrderByDirection = 'desc' THEN surname END DESC,
CASE WHEN @OrderBy = 'streetaddress' AND @OrderByDirection = 'asc' THEN streetaddress END,
CASE WHEN @OrderBy = 'streetaddress' AND @OrderByDirection = 'desc' THEN streetaddress END DESC,
CASE WHEN @OrderBy = 'city' AND @OrderByDirection = 'asc' THEN city END,
CASE WHEN @OrderBy = 'city' AND @OrderByDirection = 'desc' THEN city END DESC,
CASE WHEN @OrderBy = 'zipcode' AND @OrderByDirection = 'asc' THEN zipcode END,
CASE WHEN @OrderBy = 'zipcode' AND @OrderByDirection = 'desc' THEN zipcode END DESC,
CASE WHEN @OrderBy = 'country' AND @OrderByDirection = 'asc' THEN country END,
CASE WHEN @OrderBy = 'country' AND @OrderByDirection = 'desc' THEN country END DESC,
CASE WHEN @OrderBy = 'emailaddress' AND @OrderByDirection = 'asc' THEN emailaddress END,
CASE WHEN @OrderBy = 'emailaddress' AND @OrderByDirection = 'desc' THEN emailaddress END DESC,
CASE WHEN @OrderBy = 'password' AND @OrderByDirection = 'asc' THEN password END,
CASE WHEN @OrderBy = 'password' AND @OrderByDirection = 'desc' THEN password END DESC,
CASE WHEN @OrderBy = 'telephonenumber' AND @OrderByDirection = 'asc' THEN telephonenumber END,
CASE WHEN @OrderBy = 'telephonenumber' AND @OrderByDirection = 'desc' THEN telephonenumber END DESC,
CASE WHEN @OrderBy = 'maidenname' AND @OrderByDirection = 'asc' THEN maidenname END,
CASE WHEN @OrderBy = 'maidenname' AND @OrderByDirection = 'desc' THEN maidenname END DESC,
CASE WHEN @OrderBy = 'birthday' AND @OrderByDirection = 'asc' THEN birthday END,
CASE WHEN @OrderBy = 'birthday' AND @OrderByDirection = 'desc' THEN birthday END DESC,
CASE WHEN @OrderBy = 'cctype' AND @OrderByDirection = 'asc' THEN cctype END,
CASE WHEN @OrderBy = 'cctype' AND @OrderByDirection = 'desc' THEN cctype END DESC,
CASE WHEN @OrderBy = 'ccnumber' AND @OrderByDirection = 'asc' THEN ccnumber END,
CASE WHEN @OrderBy = 'ccnumber' AND @OrderByDirection = 'desc' THEN ccnumber END DESC,
CASE WHEN @OrderBy = 'cvv2' AND @OrderByDirection = 'asc' THEN cvv2 END,
CASE WHEN @OrderBy = 'cvv2' AND @OrderByDirection = 'desc' THEN cvv2 END DESC,
CASE WHEN @OrderBy = 'ccexpires' AND @OrderByDirection = 'asc' THEN ccexpires END,
CASE WHEN @OrderBy = 'ccexpires' AND @OrderByDirection = 'desc' THEN ccexpires END DESC,
CASE WHEN @OrderBy = 'nationalid' AND @OrderByDirection = 'asc' THEN nationalid END,
CASE WHEN @OrderBy = 'nationalid' AND @OrderByDirection = 'desc' THEN nationalid END DESC,
CASE WHEN @OrderBy = 'upstracking' AND @OrderByDirection = 'asc' THEN upstracking END,
CASE WHEN @OrderBy = 'upstracking' AND @OrderByDirection = 'desc' THEN upstracking END DESC,
CASE WHEN @OrderBy = 'occupation' AND @OrderByDirection = 'asc' THEN occupation END,
CASE WHEN @OrderBy = 'occupation' AND @OrderByDirection = 'desc' THEN occupation END DESC,
CASE WHEN @OrderBy = 'company' AND @OrderByDirection = 'asc' THEN company END,
CASE WHEN @OrderBy = 'company' AND @OrderByDirection = 'desc' THEN company END DESC,
CASE WHEN @OrderBy = 'domain' AND @OrderByDirection = 'asc' THEN domain END,
CASE WHEN @OrderBy = 'domain' AND @OrderByDirection = 'desc' THEN domain END DESC,
CASE WHEN @OrderBy = 'bloodtype' AND @OrderByDirection = 'asc' THEN bloodtype END,
CASE WHEN @OrderBy = 'bloodtype' AND @OrderByDirection = 'desc' THEN bloodtype END DESC,
CASE WHEN @OrderBy = 'pounds' AND @OrderByDirection = 'asc' THEN pounds END,
CASE WHEN @OrderBy = 'pounds' AND @OrderByDirection = 'desc' THEN pounds END DESC,
CASE WHEN @OrderBy = 'kilograms' AND @OrderByDirection = 'asc' THEN kilograms END,
CASE WHEN @OrderBy = 'kilograms' AND @OrderByDirection = 'desc' THEN kilograms END DESC,
CASE WHEN @OrderBy = 'feetinches' AND @OrderByDirection = 'asc' THEN feetinches END,
CASE WHEN @OrderBy = 'feetinches' AND @OrderByDirection = 'desc' THEN feetinches END DESC,
CASE WHEN @OrderBy = 'centimeters' AND @OrderByDirection = 'asc' THEN centimeters END,
CASE WHEN @OrderBy = 'centimeters' AND @OrderByDirection = 'desc' THEN centimeters END DESC,
CASE WHEN @OrderBy = 'guid' AND @OrderByDirection = 'asc' THEN guid END,
CASE WHEN @OrderBy = 'guid' AND @OrderByDirection = 'desc' THEN guid END DESC,
CASE WHEN @OrderBy = 'latitude' AND @OrderByDirection = 'asc' THEN latitude END,
CASE WHEN @OrderBy = 'latitude' AND @OrderByDirection = 'desc' THEN latitude END DESC,
CASE WHEN @OrderBy = 'longitude' AND @OrderByDirection = 'asc' THEN longitude END,
CASE WHEN @OrderBy = 'longitude' AND @OrderByDirection = 'desc' THEN longitude END DESC,
CASE WHEN @OrderBy = 'StateProvinceName' AND @OrderByDirection = 'asc' THEN StateProvinceName END,
CASE WHEN @OrderBy = 'StateProvinceName' AND @OrderByDirection = 'desc' THEN StateProvinceName END DESC,
CASE WHEN @OrderBy = 'GenderName' AND @OrderByDirection = 'asc' THEN GenderName END,
CASE WHEN @OrderBy = 'GenderName' AND @OrderByDirection = 'desc' THEN GenderName END DESC
DECLARE @TotalRecords decimal(10,5)
DECLARE @TotalNumberOfPages int
SET @TotalRecords = (SELECT COUNT(*) FROM #Temp)
SET @TotalNumberOfPages = CEILING(@TotalRecords/@iPageSize)
--FINAL SELECT
SELECT  t1.*,
@TotalNumberOfPages as TotalNumberOfPages
FROM    dbo.vw_Fakename t1
JOIN #temp t on t1.FakeNameID = t.pk
WHERE
t.ROWCOUNTID BETWEEN @iStartRecord AND @iEndRecord  
--DROP TEMP TABLE
DROP TABLE #temp

用法

USE [TestDatabase]
GO
set statistics time on
DECLARE @return_value int
EXEC    @return_value = [dbo].[vw_Fakename_SelectFilter]
@Filter = N'
<ArrayOfDataFilter xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema">
<DataFilter Column="givenname" Value="adam"></DataFilter>
<DataFilter Column="surname" Value="adey"></DataFilter>
</ArrayOfDataFilter>',
@OrderBy = N'surname',
@OrderByDirection = N'asc',
@iPageSize = 50,
@iPageNumber = 0
GO

我一直在使用fakenamegenerator中的一个列表，其中有50,000个随机名称并且已经获得了统计信息（删除了空白条目）：

SQL Server Execution Times:
CPU time = 46 ms,  elapsed time = 37 ms.
SQL Server Execution Times:
CPU time = 47 ms,  elapsed time = 282 ms.
SQL Server Execution Times:
CPU time = 93 ms,  elapsed time = 499 ms.

所以我的问题是：是否有更好/更快的方法来实现相同的结果？

非常感谢！ 亚当

1 个答案:

答案 0 :(得分：2)

Adam - 统计数据难以比较，因为它们取决于硬件配置和测试时系统的负载。

但是，无论执行统计信息如何，如果您尝试在一个通用查询中完成工作，就不会转义聚簇索引扫描。因此，无论过滤器看起来如何，结果都是相似的 - 您将看到执行时间的波动取决于该表的任何页面，部分或全部页面是否已经在缓存中，当然还取决于其他可能的内容那时，SQL Server需要做的工作量是相同的（与扫描表相比，所有其他任务都是微不足道的。结果的排序也可能有所不同，但我会将其排除在外这个讨论现在）。

这里有意义的是确定最常见的过滤器并优化这些过滤器的表/存储过程，而其余的案例将落在需要扫描的通用查询上。例如，我们只是说在90％的情况下，过滤器将包含“givenname”和“surname”的值。让我们进一步假设在您的实际表格中，您知道“姓氏”比“给定名称”更具选择性。在这种情况下，您在（姓氏，给定名称）上创建索引，然后您将“分支”为两个查询而不是一个通用查询：

如果过滤器包含surname和givenname的值，那么将要执行的查询将如下所示： SELECT ... FROM ... WHERE surname = @surname AND givenname =“givenname”AND ... < / strong>

否则，您执行处理其他所有事情的通用查询。

当执行“常见场景”查询时，优化器可能会执行索引搜索，这将比聚簇索引扫描快得多（您在该表上拥有的行越多，将会越大区别）。通过这种方式，您可以处理90％的案例，而您不必过于担心其他10％的案例。

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