我有Table1,我需要让它看起来像Table2:
VisitingCount | Date
-----------------------
1 | 15:09
3 | 15:10
7 | 15:15
1 | 15:39
2 | 15:40
3 | 15:47
VisitingCount | Date
-----------------------------
11 | 15:00-15:30
6 | 15:30-16:00
我写了一个像这样的SQL用户定义函数:
create FUNCTION [dbo].[fn_GetActivityLogsArranger] (@time AS nvarchar(max))
RETURNS nvarchar(max)
AS
BEGIN
declare @Return varchar(30)
select @Return =
case
when @time between '15:00' and '15:30' then '15:00-15:30'
when @time between '15:30' and '16:00' then '15:30-16:00'
when @time between '16:00' and '16:30' then '16:00-16:30'
when @time between '16:00' and '16:30' then '16:00-16:30'
when @time between '16:30' and '17:00' then '16:30-17:00'
when @time between '17:00' and '17:30' then '17:00-17:30'
when @time between '17:30' and '18:00' then '17:30-18:00'
else 'Unknown'
end
return @Return
end
在我的sql查询中调用UDF时,我得到了正确的结果:
select
Count(Page) as VisitingCount,
dbo.fn_GetActivityLogsArranger(CONVERT(VARCHAR(5),Date, 108))
as [Time]
from
scr_SecuristLog
where
Date between '2009-04-30' and '2009-05-02' AND
[user] in
(
select USERNAME
from scr_CustomerAuthorities
where customerID = Convert(varchar,4) and ID = Convert(varchar,43)
)
group by
dbo.fn_GetActivityLogsArranger(CONVERT(VARCHAR(5),Date, 108))
order by
dbo.fn_GetActivityLogsArranger(CONVERT(VARCHAR(5),Date, 108)) asc
但我不喜欢这种方法;我的梦想代码看起来像这样:
select
Count(Page) as VisitingCount,
dbo.fn_GetActivityLogsArranger(CONVERT(VARCHAR(5),Date, 108))
as [TIME]
from
scr_SecuristLog
where
Date between '2009-04-30' and '2009-05-02' and
user] in
(
select USERNAME
from scr_CustomerAuthorities
where customerID = Convert(varchar,4) and ID = Convert(varchar,43)
)
group by [TIME]
order by [TIME] asc
答案 0 :(得分:14)
您可以像查看视图一样加入您的桌面并在那里调用您的函数。这样,您可以通过视图中的列调用组并按顺序排序。
select
Count(Page) as VisitingCount,
[Time]
from
(
SELECT
Page,
Date,
[user],
dbo.fn_GetActivityLogsArranger(CONVERT(VARCHAR(5),Date, 108)) as [Time]
FROM
scr_SecuristLog
) scr_SecuristLog2
where
Date between '2009-04-30' and '2009-05-02'
and
[user] in
(
select
USERNAME
from
scr_CustomerAuthorities
where
customerID=Convert(varchar,4)
and
ID=Convert(varchar,43)
)
group by
[Time]
order by
[Time] asc