有产品表，包含id，name，city，addtime四个字段，因报表需要按城市分组，统计每个城市的最新10个产品，便向该表中插入了100万数据，做了如下系列测试：

复制代码 代码如下:

CREATE TABLE [dbo].[products](

[id] [int] IDENTITY(1,1) NOT NULL,

[name] [nvarchar](50) NULL,

[addtime] [datetime] NULL,

[city] [nvarchar](10) NULL,

CONSTRAINT [PK_products] PRIMARY KEY CLUSTERED

(

[id] ASC

)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]

) ON [PRIMARY]

1、采用row_number方法，执行5次，平均下来8秒左右，速度最快。

复制代码 代码如下:

select no, id,name,city

from (select no =row_number() over (partition by city order by addtime desc), * from products)t

where no< 11 order by city asc,addtime desc

2、采用cross apply方法，执行了3次，基本都在3分5秒以上，已经很慢了。

复制代码 代码如下:

select distinct b.id,b.name,b.city from products a

cross apply (select top 10 * from products where city = a.city order by addtime desc) b

3、采用Count查询，只执行了两次，第一次执行到5分钟时，取消任务执行了；第二次执行到13分钟时，没有hold住又直接停止了，实在无法忍受。

复制代码 代码如下:

select id,name,city from products a

where ( select count(city) from products where a.city = city and addtime>a.addtime) < 10

order by city asc,addtime desc

4、采用游标方法，这个最后测试的，执行了5次，每次都是10秒完成，感觉还不错。

复制代码 代码如下:

declare @city nvarchar(10)

create table #Top(id int,name nvarchar(50),city nvarchar(10),addtime datetime)

declare mycursor cursor for

select distinct city from products order by city asc

open mycursor

fetch next from mycursor into @city

while @@fetch_status =0

begin

insert into #Top

select top 10 id,name,city,addtime from products where city = @city

fetch next from mycursor into @city

end

close mycursor

deallocate mycursor

Select * from #Top order by city asc,addtime desc

drop table #Top

通过上述对比不难发现，在面临Group获取Top N场景时，可以首选row_number，游标cursor其次，另外两个就基本不考虑了，数据量大的时候根本没法使用。