SQL SERVER 大数据量分页存储过程效率测试附测试代码与结果

MsSQL 2019-12-09

感兴趣的小伙伴，下面一起跟随编程之家 jb51.cc的小编两巴掌来看看吧！

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

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:
 

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：

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)

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,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

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,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

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,getdate()) as 耗时 
set nocount off; 
end

5，利用临时表及Row_number

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。
 

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,getdate()) as 耗时 
--print @strTmp 
SET NOCOUNT OFF 
GO

执行示例：exec proc_paged_2part_selectMax 'tb_testTable','ID,userEmail',10,100000,'ID',null,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。

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