最近因为稍微有点空闲时间，所以想了下在sql server平台用存储过程的分页方式，现在列示在下面。

实际测试时，在15000条数据情况下两者性能大体相当，在20000-30000条数据的情况下前者明显比后者性能更佳。更大数据量没有进行测试了。

注意，数据表里面是否有 键和索引 对性能的影响相当大
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第一种:

/*第一个参数是每页条数，第二个参数是目标页码*/

CREATE proc sp_fixpage @pagesize int,@destpage int  as
set nocount on
declare @id int
declare @startid int

select @startid = (@destpage - 1)*@pagesize

set rowcount @startid
select @id = id from t_member

set rowcount @pagesize
set nocount off
select * from t_member where id > @id order by id
GO

第二种:

CREATE PROCEDURE sp_fixpage1 @pagesize int ,@destpage int
as
set nocount on
 
CREATE TABLE #myTable( 
 [ID] [int] NOT NULL ,
 [UserName] [varchar] (50) COLLATE Chinese_PRC_CI_AS NOT NULL ,
 [Name] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [Origin] [int] NULL ,
 [LatencyBuyDegree] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [UserType] [varchar] (2) COLLATE Chinese_PRC_CI_AS NULL ,
 [Email] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [UserLev] [int] NULL ,
 [RegTime] [datetime] NULL ,
 [RegMode] [bit] NULL ,
 [PaperNum] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [UserClass] [bit] NULL ,
 [password] [binary] (64) NULL ,
 [Tel] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [drass] [varchar] (150) COLLATE Chinese_PRC_CI_AS NULL ,
 [Zip] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [PaperNumlb] [int] NULL ,
 [OpUser] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [Province] [varchar] (50) COLLATE Chinese_PRC_CI_AS NULL ,
 [BirthDate] [datetime] NULL
) ON [PRIMARY]

declare @tempPos int
declare @absPos int
declare @nowID int

set @tempPos = 1
set @absPos = 1

if @destpage > 1
    set @absPos = (@pagesize*(@destpage- 1) + 1)

   declare myCursor scroll cursor for
      select [ID] from t_member order by id

open myCursor
fetch absolute @absPos from myCursor into @nowID

while (@@fetch_status = 0) and (@tempPos <= @pagesize)
begin
  set @tempPos = @tempPos + 1
  insert into #myTable select * from t_member where [ID] = @nowID
  fetch next from myCursor into @nowID
end

close myCursor
deallocate myCursor

set nocount off
 
select * from #myTable
drop table #myTable
GO