浅谈基于SQL Server分页存储过程五种方法及性能比较

本文由脚本之家小编给大家分享了五种sqlserver分页存储过程及性能比较,接下来我们跟着小编一起了解了解吧

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 :

?

1

2

3

4

5

6

7

8

9

10

11

12

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:

?

1

2

3

4

5

6

7

8

9

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

1、利用select top 和select not in进行分页

具体代码如下:

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

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)

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

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

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

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

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

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

?

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

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。

版权声明:本文(即:原文链接:https://www.qin1qin.com/catagory/27142/)内容由互联网用户自发投稿贡献,该文观点仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌抄袭侵权/违法违规的内容, 请发送邮件至 630367839@qq.com 举报,一经查实,本站将立刻删除。

(0)
上一篇 2022-09-29 4:28:57
下一篇 2022-09-29 4:29:03

软件定制开发公司

相关阅读

发表回复

登录后才能评论
通知:禁止投稿所有关于虚拟货币,币圈类相关文章,发现立即永久封锁账户ID!