server|存储过程|分页
killergo的专栏
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