大数据量分页存储过程效率测试附测试代码与结果

测试环境

硬件:cpu 酷睿双核t5750 内存:2g

软件:windows server 2003 + sql server 2005

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


复制代码 代码如下:

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:

复制代码 代码如下:

–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:


复制代码 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)


复制代码 代码如下: 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


复制代码 代码如下: 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<=@pagesize*@pageindex 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


复制代码 代码如下: 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


复制代码 代码如下: 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

存过 第2页耗时 第1000页耗时 第10000页耗时 第100000页耗时 第199999页耗时 效率排行

1用not in 0ms 16ms 47ms 475ms 953ms 3

2用select max 5ms 16ms 35ms 325ms 623ms 1

3中间变量 966ms 970ms 960ms 945ms 933ms 5

4row_number 0ms 0ms 34ms 365ms 710ms 2

4临时表 780ms 796ms 798ms 780ms 805ms 4

测试结果显示:select max >row_number>not in>临时表>中间变量

于是我对效率最高的select max方法用2分法进行了扩展,代码取自互联网,我修改了asc排序时取不到值的bug,测试结果:

2分法 156ms 156ms 180ms 470ms 156ms 1*

从测试结果来看,使用2分法确实可以提高效率并使效率更为稳定,我又增加了第159999页的测试,用时仅296ms,效果相当的不错!

下面是2分法使用select max的代码,已相当完善。

复制代码 代码如下:

–/*—–存储过程 分页处理 孙伟 2005-03-28创建 ——-*/

–/*—–存储过程 分页处理 浪尘 2008-9-1修改———-*/

–/*—– 对数据进行了2分处理使查询前半部分数据与查询后半部分数据性能相同 ——-*/

alter procedure proc_paged_2part_selectmax

(

@tblname nvarchar(200), —-要显示的表或多个表的连接

@fldname nvarchar(500) = ‘*’, —-要显示的字段列表

@pagesize int = 10, —-每页显示的记录个数

@page int = 1, —-要显示那一页的记录

@fldsort nvarchar(200) = null, —-排序字段列表或条件

@sort bit = 0, —-排序方法,0为升序,1为降序(如果是多字段排列sort指代最后一个排序字段的排列顺序(最后一个排序字段不加排序标记)–程序传参如:’ sorta asc,sortb desc,sortc ‘)

@strcondition nvarchar(1000) = null, —-查询条件,不需where

@id nvarchar(150), —-主表的主键

@dist bit = 0, —-是否添加查询字段的 distinct 默认0不添加/1添加

@pagecount int = 1 output, —-查询结果分页后的总页数

@counts int = 1 output —-查询到的记录数

)

as

set nocount on

declare @sqltmp nvarchar(1000) —-存放动态生成的sql语句

declare @strtmp nvarchar(1000) —-存放取得查询结果总数的查询语句

declare @strid nvarchar(1000) —-存放取得查询开头或结尾id的查询语句

declare @strsorttype nvarchar(10) —-数据排序规则a

declare @strfsorttype nvarchar(10) —-数据排序规则b

declare @sqlselect nvarchar(50) —-对含有distinct的查询进行sql构造

declare @sqlcounts nvarchar(50) —-对含有distinct的总数查询进行sql构造

declare @timediff datetime –耗时测试时间差

select @timediff=getdate()

if @dist = 0

begin

set @sqlselect = ‘select ‘

set @sqlcounts = ‘count(*)’

end

else

begin

set @sqlselect = ‘select distinct ‘

set @sqlcounts = ‘count(distinct ‘+@id+’)’

end

if @sort=0

begin

set @strfsorttype=’ asc ‘

set @strsorttype=’ desc ‘

end

else

begin

set @strfsorttype=’ desc ‘

set @strsorttype=’ asc ‘

end

——–生成查询语句——–

–此处@strtmp为取得查询结果数量的语句

if @strcondition is null or @strcondition=” –没有设置显示条件

begin

set @sqltmp = @fldname + ‘ from ‘ + @tblname

set @strtmp = @sqlselect+’ @counts=’+@sqlcounts+’ from ‘+@tblname

set @strid = ‘ from ‘ + @tblname

end

else

begin

set @sqltmp = + @fldname + ‘from ‘ + @tblname + ‘ where (1>0) ‘ + @strcondition

set @strtmp = @sqlselect+’ @counts=’+@sqlcounts+’ from ‘+@tblname + ‘ where (1>0) ‘ + @strcondition

set @strid = ‘ from ‘ + @tblname + ‘ where (1>0) ‘ + @strcondition

end

—-取得查询结果总数量—–

exec sp_executesql @strtmp,n’@counts int out ‘,@counts out

declare @tmpcounts int

if @counts = 0

set @tmpcounts = 1

else

set @tmpcounts = @counts

–取得分页总数

set @pagecount=(@tmpcounts+@pagesize-1)/@pagesize

/**//**//**//**当前页大于总页数 取最后一页**/

if @page>@pagecount

set @page=@pagecount

–/*—–数据分页2分处理——-*/

declare @pageindex int –总数/页大小

declare @lastcount int –总数%页大小

set @pageindex = @tmpcounts/@pagesize

set @lastcount = @tmpcounts%@pagesize

if @lastcount > 0

set @pageindex = @pageindex + 1

else

set @lastcount = @pagesize

–//***显示分页

if @strcondition is null or @strcondition=” –没有设置显示条件

begin

if @pageindex<2 or @page<=@pageindex / 2 + @pageindex % 2 –前半部分数据处理

begin

if @page=1

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

else

begin

if @sort=1

begin

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ <(select min(‘+ @id +’) from (‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-1) as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype+’) as tbminid)’

+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

else

begin

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ >(select max(‘+ @id +’) from (‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-1) as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype+’) as tbminid)’

+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

end

end

else

begin

set @page = @pageindex-@page+1 –后半部分数据处理

if @page <= 1 –最后一页数据显示

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@lastcount as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

else

if @sort=1

begin

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ >(select max(‘+ @id +’) from(‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-2)+@lastcount as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as tbmaxid)’

+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

else

begin

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ <(select min(‘+ @id +’) from(‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-2)+@lastcount as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as tbmaxid)’

+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

end

end

else –有查询条件

begin

if @pageindex<2 or @page<=@pageindex / 2 + @pageindex % 2 –前半部分数据处理

begin

if @page=1

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where 1=1 ‘ + @strcondition + ‘ order by ‘+ @fldsort +’ ‘+ @strfsorttype

else if(@sort=1)

begin

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ <(select min(‘+ @id +’) from (‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-1) as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ where (1=1) ‘ + @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strfsorttype+’) as tbminid)’

+’ ‘+ @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

else

begin

set @strtmp=@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ >(select max(‘+ @id +’) from (‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-1) as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ where (1=1) ‘ + @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strfsorttype+’) as tbminid)’

+’ ‘+ @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

end

else

begin

set @page = @pageindex-@page+1 –后半部分数据处理

if @page <= 1 –最后一页数据显示

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@lastcount as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where (1=1) ‘+ @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

else if(@sort=1)

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ >(select max(‘+ @id +’) from(‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-2)+@lastcount as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ where (1=1) ‘+ @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as tbmaxid)’

+’ ‘+ @strcondition+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

else

set @strtmp=@sqlselect+’ * from (‘+@sqlselect+’ top ‘+ cast(@pagesize as varchar(4))+’ ‘+ @fldname+’ from ‘+@tblname

+’ where ‘+@id+’ <(select min(‘+ @id +’) from(‘+ @sqlselect+’ top ‘+ cast(@pagesize*(@page-2)+@lastcount as varchar(20)) +’ ‘+ @id +’ from ‘+@tblname

+’ where (1=1) ‘+ @strcondition +’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as tbmaxid)’

+’ ‘+ @strcondition+’ order by ‘+ @fldsort +’ ‘+ @strsorttype+’) as temptb’+’ order by ‘+ @fldsort +’ ‘+ @strfsorttype

end

end

——返回查询结果—–

exec sp_executesql @strtmp

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

–print @strtmp

set nocount off

go

执行示例:exec proc_paged_2part_selectmax ‘tb_testtable’,’id,username,userpwd,useremail’,10,100000,’id’,0,null,’id’,0

这种测试只在单机进行,并且没有在实际开发web项目中分页测试,测试项也比较单一,所以不够全面系统,但从其效率相比上,我们可以在数据库分页算法上进行有效的控制。

(0)
上一篇 2022年3月21日
下一篇 2022年3月21日

相关推荐