sql分页性能测试结果

--方案一：

declare @d datetime

set @d = getdate()

select top 10 * from Info where ID not in (select top 9990 ID from Info order by ID) order by ID 

select [not in方法升序分页执行花费时间(毫秒)]=datediff(ms,@d,getdate()) --430ms

 

--方案二：

declare @s datetime

set @s = getdate()

select top 10 * from info where ID >=(select max(ID) from (select top 9991 ID from info order by ID) as T) order by ID

select [Max方法升序分页执行花费时间(毫秒)]=datediff(ms,@s,getdate()) --13ms

--方案三：

declare @q datetime

set @q = getdate()

select top 10 * from Info where ID <=(select min(ID) from (select top 9991 ID from Info order by ID desc) as T) order by ID desc

select [Min方法降序分页执行花费时间(毫秒)]=datediff(ms,@q,getdate())--10ms

 

--方案四：

declare @r datetime

set @r = getdate()

select top 10 * from 

( 

select row_number()over( order by id desc) as rowNumber,* from info



) T

where T.rowNumber>0 

select [row_number()方法降序分页执行花费时间(毫秒)]=datediff(ms,@r,getdate())--3ms

 

--方案五：

with infos as

(

select r.*, row_number()over(order by r.id desc) as r 

from [Info]  r

) 

select * from infos where r between 1 and 30;

方案五没有采取top的形式取数据，而是用了between，相同点都用了row_number()函数。根据平常的分页习惯，方案四、五效率最高,且性能相当.