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大数据量分页存储过程效率测试附测试代_sqlserver

sqlserver 搞代码 3年前 (2018-06-17) 169次浏览 已收录 0个评论

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

http://www.gaodaima.com/?p=37559大数据量分页存储过程效率测试附测试代_sqlserver

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′,’[email protected]’)
set @[email protected]+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(@[email protected])+’ 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,[email protected]
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(@[email protected])+’ 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 @[email protected]+1,@ID=case when @count<[email protected][email protected] 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>@[email protected] 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 @[email protected]+’ 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 ‘[email protected]+’)’
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——–
[email protected]
if @strCondition is null or @strCondition=” –没有设置显示条件
begin
set @sqlTmp = @fldName + ‘ From ‘ + @tblName
set @strTmp = @SqlSelect+’ @Counts=’[email protected]+’ FROM ‘[email protected]
set @strID = ‘ From ‘ + @tblName
end
else
begin
set @sqlTmp = + @fldName + ‘From ‘ + @tblName + ‘ where (1>0) ‘ + @strCondition
set @strTmp = @SqlSelect+’ @Counts=’[email protected]+’ FROM ‘[email protected] + ‘ 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=(@[email protected])[email protected]

/**//**//**//**当前页大于总页数 取最后一页**/
if @page>@pageCount
set @[email protected]

–/*—–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 = @[email protected]
set @lastcount = @[email protected]
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<[email protected] / 2 + @pageIndex % 2 –前半部分数据处理
begin
if @page=1
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
else
begin
if @Sort=1
begin
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ <(select min(‘+ @ID +’) from (‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-1) as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ order by ‘+ @fldSort +’ ‘+ @strFSortType+’) AS TBMinID)’
+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
end
else
begin
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ >(select max(‘+ @ID +’) from (‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-1) as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ order by ‘+ @fldSort +’ ‘+ @strFSortType+’) AS TBMinID)’
+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
end
end
end
else
begin
set @page = @[email protected]+1 –后半部分数据处理
if @page <= 1 –最后一页数据显示
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@lastcount as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TempTB’+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
else
if @Sort=1
begin
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ >(select max(‘+ @ID +’) from(‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-2)[email protected] as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TBMaxID)’
+’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TempTB’+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
end
else
begin
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ <(select min(‘+ @ID +’) from(‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-2)[email protected] as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ 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<[email protected] / 2 + @pageIndex % 2 –前半部分数据处理
begin
if @page=1
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where 1=1 ‘ + @strCondition + ‘ order by ‘+ @fldSort +’ ‘+ @strFSortType
else if(@Sort=1)
begin
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ <(select min(‘+ @ID +’) from (‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-1) as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ where (1=1) ‘ + @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strFSortType+’) AS TBMinID)’
+’ ‘+ @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strFSortType
end
else
begin
set @[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ >(select max(‘+ @ID +’) from (‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-1) as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ where (1=1) ‘ + @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strFSortType+’) AS TBMinID)’
+’ ‘+ @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strFSortType
end
end
else
begin
set @page = @[email protected]+1 –后半部分数据处理
if @page <= 1 –最后一页数据显示
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@lastcount as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where (1=1) ‘+ @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TempTB’+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
else if(@Sort=1)
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ >(select max(‘+ @ID +’) from(‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-2)[email protected] as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ where (1=1) ‘+ @strCondition +’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TBMaxID)’
+’ ‘+ @strCondition+’ order by ‘+ @fldSort +’ ‘+ @strSortType+’) AS TempTB’+’ order by ‘+ @fldSort +’ ‘+ @strFSortType
else
set @[email protected]+’ * from (‘[email protected]+’ top ‘+ CAST(@pageSize as VARCHAR(4))+’ ‘+ @fldName+’ from ‘[email protected]
+’ where ‘[email protected]+’ <(select min(‘+ @ID +’) from(‘+ @SqlSelect+’ top ‘+ CAST(@pageSize*(@page-2)[email protected] as Varchar(20)) +’ ‘+ @ID +’ from ‘[email protected]
+’ 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。

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