在线时间:8:00-16:00
迪恩网络APP
随时随地掌握行业动态
扫描二维码
关注迪恩网络微信公众号
设置AccessCount字段可以根据需求在特定的时间范围内如果是相同IP访问就在AccessCount上累加。 复制代码 代码如下: Create table Counter ( CounterID int identity(1,1) not null, IP varchar(20), AccessDateTime datetime, AccessCount int ) 该表在这儿只是演示使用,所以只提供了最基本的字段 现在往表中插入几条记录 insert into Counter select '127.0.0.1',getdate(),1 union all select '127.0.0.2',getdate(),1 union all select '127.0.0.3',getdate(),1 1 根据年来查询,以月为时间单位 通常情况下一个简单的分组就能搞定 复制代码 代码如下: select convert(varchar(7),AccessDateTime,120) as Date, sum(AccessCount) as [Count] from Counter group by convert(varchar(7),AccessDateTime,120) 像这样分组后没有记录的月份不会显示,如下: 这当然不是我们想要的,所以得换一种思路来实现,如下: 复制代码 代码如下: declare @Year int set @Year=2009 select m as [Date], sum( case when datepart(month,AccessDateTime)=m then AccessCount else 0 end ) as [Count] from Counter c, ( select 1 m union all select 2 union all select 3 union all select 4 union all select 5 union all select 6 union all select 7 union all select 8 union all select 9 union all select 10 union all select 11 union all select 12 ) aa where @Year=year(AccessDateTime) group by m 查询结果如下: 2 根据天来查询,以小时为单位。这个和上面的类似,代码如下: 复制代码 代码如下: declare @DateTime datetime set @DateTime=getdate() select right(100+a,2)+ ':00 -> '+right(100+b,2)+ ':00 ' as DateSpan, sum( case when datepart(hour,AccessDateTime)> =a and datepart(hour,AccessDateTime) <b then AccessCount else 0 end ) as [Count] from Counter c , (select 0 a,1 b union all select 1,2 union all select 2,3 union all select 3,4 union all select 4,5 union all select 5,6 union all select 6,7 union all select 7,8 union all select 8,9 union all select 9,10 union all select 10,11 union all select 11,12 union all select 12,13 union all select 13,14 union all select 14,15 union all select 15,16 union all select 16,17 union all select 17,18 union all select 18,19 union all select 19,20 union all select 20,21 union all select 21,22 union all select 22,23 union all select 23,24 ) aa where datediff(day,@DateTime,AccessDateTime)=0 group by right(100+a,2)+ ':00 -> '+right(100+b,2)+ ':00 ' 查询结果如下图: |
请发表评论