sql server 大量数据的分页存储过程代码
2014-11-14来源:

ok,我们首先创建一数据库:data_test,并在此数据库中创建一表:tb_testtable

create database data_test --创建数据库data_test

go

use data_test

go

create table tb_testtable --创建表

(

id int identity(1,1) primary key,

username nvarchar(20) not null,

userpwd nvarchar(20) not null,

useremail nvarchar(40) null

)

go

然后我们在数据表中插入2000000条数据:

--插入数据

set identity_insert tb_testtable on

declare @count int

set @count=1

while @count<=2000000

begin

insert into tb_testtable(id,username,userpwd,useremail) values(@count,'admin','admin888','lli0077@yahoo.com.cn')

set @count=@count+1

end

set identity_insert tb_testtable off

我首先写了五个常用存储过程:

1,利用select top 和select not in进行分页,具体代码如下:

create procedure proc_paged_with_notin --利用select top and select not in

(

@pageindex int, --页索引

@pagesize int --每页记录数

)

as

begin

set nocount on;

declare @timediff datetime --耗时

declare @sql nvarchar(500)

select @timediff=getdate()

set @sql='select top '+str(@pagesize)+' * from tb_testtable where(id not in(select top '+str(@pagesize*@pageindex)+' id from tb_testtable order by id asc)) order by id'

execute(@sql) --因select top后不支技直接接参数,所以写成了字符串@sql

select datediff(ms,@timediff,getdate()) as 耗时

set nocount off;

end

2,利用select top 和 select max(列键)

create procedure proc_paged_with_selectmax --利用select top and select max(列)

(

@pageindex int, --页索引

@pagesize int --页记录数

)

as

begin

set nocount on;

declare @timediff datetime

declare @sql nvarchar(500)

select @timediff=getdate()

set @sql='select top '+str(@pagesize)+' * from tb_testtable where(id>(select max(id) from (select top '+str(@pagesize*@pageindex)+' id from tb_testtable order by id) as temptable)) order by id'

execute(@sql)

select datediff(ms,@timediff,getdate()) as 耗时

set nocount off;

end

3,利用select top和中间变量--此方法因网上有人说效果最佳,所以贴出来一同测试

create procedure proc_paged_with_midvar --利用id>最大id值和中间变量

(

@pageindex int,

@pagesize int

)

as

declare @count int

declare @id int

declare @timediff datetime

declare @sql nvarchar(500)

begin

set nocount on;

select @count=0,@id=0,@timediff=getdate()

select @count=@count+1,@id=case when @count< then id else @id end from tb_testtable order by id

set @sql='select top '+str(@pagesize)+' * from tb_testtable where id>'+str(@id)

execute(@sql)

select datediff(ms,@timediff,getdate()) as 耗时

set nocount off;

end

4,利用row_number() 此方法为sql server 2005中新的方法,利用row_number()给数据行加上索引

create procedure proc_paged_with_rownumber --利用sql 2005中的row_number()

(

@pageindex int,

@pagesize int

)

as

declare @timediff datetime

begin

set nocount on;

select @timediff=getdate()

select * from (select *,row_number() over(order by id asc) as idrank from tb_testtable) as idwithrownumber where idrank>@pagesize*@pageindex and idrank<@pagesize*(@pageindex+1)

select datediff(ms,@timediff,getdate()) as 耗时

set nocount off;

end

5,利用临时表及row_number

create procedure proc_cte --利用临时表及row_number

(

@pageindex int, --页索引

@pagesize int --页记录数

)

as

set nocount on;

declare @ctestr nvarchar(400)

declare @strsql nvarchar(400)

declare @datediff datetime

begin

select @datediff=getdate()

set @ctestr='with table_cte as

(select ceiling((row_number() over(order by id asc))/'+str(@pagesize)+') as page_num,* from tb_testtable)';

set @strsql=@ctestr+' select * from table_cte where page_num='+str(@pageindex)

end

begin

execute sp_executesql @strsql

select datediff(ms,@datediff,getdate())

set nocount off;

end

ok,至此,存储过程创建完毕,我们分别在每页10条数据的情况下在第2页,第1000页,第10000页,第100000页,第199999页进行测试,耗时单位:ms 每页测试5次取其平均值

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