这样的SQL如何写?
表calendar:
date dateType
..........
2013-02-01 1
2013-02-02 2
2013-02-03 2
2013-02-04 1
2013-02-05 1
2013-02-06 1
2013-02-07 1
2013-02-08 1
2013-02-09 3
2013-02-10 3
2013-02-11 3
2013-02-12 3
2013-02-13 3
2013-02-14 3
2013-02-15 3
2013-02-16 1
2013-02-17 1
2013-02-18 1
2013-02-19 1
2013-02-20 1
2013-02-21 1
2013-02-22 1
2013-02-23 2
2013-02-24 2
2013-02-25 1
......
datetype: 1表示工作日,2表示周末,3表示节假日;
表A: 记录审批日期等相关信息
ID approvedate
001 2013-02-08
002 2013-02-18
003 2013-02-06
我想要查找的结果是:与当天相比(今天25号),审批总共用了多少工作日,不包括周末和节假日,也就是在表calendar中datatype=1;
ID approvedate approvedatenumber(天)
001 2013-02-08 7
002 2013-02-18 4
003 2013-02-20 2
------解决方案--------------------SELECT A.ID,A.approvedate,
COUNT(B.[date]) AS approvedatenumber
FROM A LEFT JOIN calendar AS B
ON B.[date] > A.approvedate
AND B.[date] < CONVERT(VARCHAR(10),GETDATE(),120)
AND B.dateType = 1
GROUP BY A.ID,A.approvedate
------解决方案--------------------我这个是存储过程,你看符不符合你的要求
use xuanya
if object_id('calendar','u') is not null
drop table calendar
create table calendar(date datetime,datetype int)
insert into calendar
select '2013-02-01', 1 union all
select '2013-02-02', 2 union all
select '2013-02-03', 2 union all
select '2013-02-04', 1 union all
select '2013-02-05', 1 union all
select '2013-02-06', 1 union all
select '2013-02-07', 1 union all
select '2013-02-08', 1 union all
select '2013-02-09', 3 union all
select '2013-02-10', 3 union all
select '2013-02-11', 3 union all
select '2013-02-12', 3 union all
select '2013-02-13', 3 union all
select '2013-02-14', 3 union all
select '2013-02-15', 3 union all
select '2013-02-16', 1 union all
select '2013-02-17', 1 union all
select '2013-02-18', 1 union all
select '2013-02-19', 1 union all
select '2013-02-20', 1 union all
select '2013-02-21', 1 union all
select '2013-02-22', 1 union all
select '2013-02-23', 2 union all
select '2013-02-24', 2 union all
select '2013-02-25', 1
go
if object_id('yu','p') is not null
drop procedure yu
go
create procedure yu
@begindate datetime,
@enddate datetime
as
select distinct row_number() over(partition by date order by date) as ID,
@begindate as approvedate,count(*) over() as approvedatenumber
from calendar
where date>@begindate and date<@enddate and datetype=1
group by&n