T-SQL: A list of Date without using temp table - sql

Question

I have a table
|Start Date|End Date |Value|Avgerage Value Per Day|
|2011-01-01 |2012-01-01| 730 | 2|
I want to turn this table into a View
|Date| Average Value |
2011-01-01 | 2
2011-01-02 | 2
2011-01-03 | 2
.....
2011-12-31 | 2
Is is possible without using temp table to generate a list of date?
Any ideas?
Edit
Thanks both of the answers
With recursive view is similar as temp table
I do worry about the performance in a view, caz the view later will be involved in other processes.
I'll try recursive view then, if it doesn't fit, I may just use an hard code date list table.

Answer 1

declare #start datetime
SET #start = '20110501'
declare #end datetime
SET #end ='20120501'
;with months (date)
AS
(
SELECT #start
UNION ALL
SELECT DATEADD(day,1,date)
from months
where DATEADD(day,1,date)<=#end
)
select * from months OPTION (MAXRECURSION 0);
etc..etc..etc..

Answer 2

Yes you can. This generates the days from the input set and then gives you the ranges you need
Though this technically internally is like temp tables you can create a recursive view :
Create View TestView as
with Data As -- Pretends to be your table of data replace with select from your tables
(
select Cast('2012-05-01' as DATETIME) [Start Date], Cast('2012-05-02' as DATETIME) [End Date], 2 [Avgerage Value Per Day]
union all
select Cast('2012-04-01' as DATETIME) [Start Date], Cast('2012-04-05' as DATETIME) [End Date], 3 [Avgerage Value Per Day]
)
,AllDates as -- generates all days
(
select cast('1900-01-01' as datetime) TheDate
union all
select TheDate + 1
from AllDates
where TheDate + 1 < '2050-12-31'
)
select TheDate [Date], o.[Avgerage Value Per Day]
from AllDates
join Data o on TheDate Between o.[Start Date] AND o.[End Date];
you can the query it but you need to ensure that you specify a recursion limit
select * from TestView
OPTION (MAXRECURSION 0)
this gives this result
Date Avgerage Value Per Day
2012-04-01 00:00:00.000 3
2012-04-02 00:00:00.000 3
2012-04-03 00:00:00.000 3
2012-04-04 00:00:00.000 3
2012-04-05 00:00:00.000 3
2012-05-01 00:00:00.000 2
2012-05-02 00:00:00.000 2
You can see that from the test data I wanted May 1-2 and April 1-5