浅谈基于SQL Server分页存储过程五种方法及性能比较

数据库  /  管理员 发布于 5年前   419

在SQL Server数据库操作中，我们常常会用到存储过程对实现对查询的数据的分页处理，以方便浏览者的浏览。

创建数据库data_Test ：

create database 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 

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 @count=@count+1  end  set identity_insert tb_TestTable off 

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

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

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()  declare @strSql nvarchar()  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

以上的五种方法中，网上说第三种利用select top和中间变量的方法是效率最高的。关于SQL Server分页存储过程五种方法及性能比较的全部内容就到此结束了，希望对大家有所帮助。