最近在做一个考勤系统,考勤主要关注的是缺勤、迟到和早退,目前的打卡控制器可以记录用户名和打卡时间,用户可能一天打卡多次,也可能一天只打了一次卡,这些情况都需要考虑。打卡信息都存储在考勤表中,从中要挖掘出一个月内的缺勤人员,迟到人员和早退人员,并且能显示缺勤、迟到和早退的时间。
考勤表
CREATE TABLE [dbo].[kaoqin]( [user_name] [varchar](50) NULL, [card_time] [datetime] NULL ) ON [PRIMARY] GO
INSERT INTO [master].[dbo].[kaoqin] select '张三', '2014-08-03 09:36:00' union all select '张三', '2014-08-03 18:10:00' union all select '张三', '2014-08-04 08:32:00' union all select '张三', '2014-08-04 15:15:00' union all select '张三', '2014-08-05 09:32:00' union all select '张三', '2014-08-05 15:15:00' union all select '张三', '2014-08-01 08:36:00' union all select '张三', '2014-08-01 18:10:00' union all select '张三', '2014-08-02 08:32:00' union all select '张三', '2014-08-02 18:15:00' union all select '张三', '2014-08-25 08:00:00' union all select '张三', '2014-08-24 19:00:00' union all select '张三', '2014-08-27 08:00:00' union all select '张三', '2014-08-27 17:00:00' union all select '张三', '2014-08-26 10:00:00' union all select '张三', '2014-08-26 18:30:00' union all select '张三', '2014-08-26 8:00:00' union all select '张三', '2014-08-27 18:56:00' GO
declare @time_start datetime declare @time_end datetime set @time_start = '2014-08-01 00:00:00' set @time_end = DATEADD(M,1,@time_start) -- 一个月的工作日 IF object_id('tempdb..#tempDate') is not null BEGIN drop table #tempDate END CREATE table #tempDate ( stat_day varchar(10) ) IF object_id('tempdb..#tempUserDate') is not null BEGIN drop table #tempUserDate END CREATE table #tempUserDate ( stat_day varchar(10), [user_name] varchar(40) ) CREATE clustered index tempUserDate_Index1 on #tempUserDate ([user_name],stat_day) declare @time_temp datetime set @time_temp = @time_start while @time_temp < @time_end begin if datepart(weekday,@time_temp)>1 and datepart(weekday,@time_temp)<7 begin insert into #tempDate (stat_day) values (CONVERT(varchar(10),@time_temp,121)) end set @time_temp= dateadd(d,1,@time_temp) end insert into #tempUserDate select * from #tempDate cross join (select distinct [user_name] from [kaoqin]) t
select [user_name],CONVERT(varchar(10),card_time,121) as stat_day, MIN(card_time) as on_time,MAX(card_time) as off_time from [kaoqin] group by [user_name],CONVERT(varchar(10),card_time,121)
--缺勤 select * from #tempUserDate a left join ( select [user_name],CONVERT(varchar(10),card_time,121) as stat_day, MIN(card_time) as on_time,MAX(card_time) as off_time from [kaoqin] group by [user_name],CONVERT(varchar(10),card_time,121) ) b on a.[user_name]=b.[user_name] and a.stat_day=b.stat_day where [b].[user_name] is null
--迟到 select * from #tempUserDate a left join ( select [user_name],CONVERT(varchar(10),card_time,121) as stat_day, MIN(card_time) as on_time,MAX(card_time) as off_time from [kaoqin] group by [user_name],CONVERT(varchar(10),card_time,121) ) b on a.[user_name]=b.[user_name] and a.stat_day=b.stat_day where CONVERT(varchar(100), [b].[on_time], 8)>'09:00:00' --早退 select * from #tempUserDate a left join ( select [user_name],CONVERT(varchar(10),card_time,121) as stat_day, MIN(card_time) as on_time,MAX(card_time) as off_time from [kaoqin] group by [user_name],CONVERT(varchar(10),card_time,121) ) b on a.[user_name]=b.[user_name] and a.stat_day=b.stat_day where CONVERT(varchar(100), [b].[off_time], 8)<'18:00:00'
如果某个人他今天既迟到又早退在最终的结果中都会体现,可以从2014-08-05这条数据看出。当然,这个考勤系统还不完善,例如没有将节日考虑进来,初步的考虑是采用Job定期存储每年的节日,如果员工请假,也需要纳入到系统的考虑中。
原文地址:http://blog.csdn.net/dotnetstudio/article/details/39006979