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I have a table with attendance dates in SQL Workbench/J. I need to define the attendance periods of the people, where any attendance period with gaps less or equal than 90 days are merged into a single attendance period and any gaps larger than that are considered a different attendance period. For example for a single person this is the table I have
id
year
start_date
end_date
prev_att_month
diff
1
2012
2012-08-01
2012-08-31
2012-07-01
31
1
2012
2012-07-01
2012-07-31
2012-04-01
91
1
2012
2012-04-01
2012-04-30
2012-03-01
31
1
2012
2012-03-01
2012-03-31
2012-02-01
29
1
2012
2012-02-01
2012-02-29
2012-01-01
31
1
2012
2012-01-01
2012-01-31
2011-12-01
31
1
2011
2011-12-01
2011-12-31
2011-11-01
30
1
2011
2011-11-01
2011-11-30
2011-10-01
31
1
2011
2011-10-01
2011-10-31
2011-09-01
30
1
2011
2011-09-01
2011-09-30
2011-08-01
31
1
2011
2011-08-01
2011-08-31
2011-07-01
31
1
2011
2011-07-01
2011-07-31
2011-05-01
61
1
2011
2011-05-01
2011-05-31
2011-04-01
30
1
2011
2011-04-01
2011-04-30
2011-03-01
31
1
2011
2011-03-01
2011-03-31
2011-02-01
28
1
2011
2011-02-01
2011-02-28
2010-08-01
184
1
2010
2010-08-01
2010-08-31
2010-07-01
31
1
2010
2010-07-01
2010-07-31
2010-06-01
30
1
2010
2010-06-01
2010-06-30
2010-05-01
31
1
2010
2010-05-01
2010-05-31
2010-04-01
30
1
2010
2010-04-01
2010-04-30
where I defined the previous attendance month column with a lag function and then found the difference between that column and the the start_date in the diff column. This way I can check the gaps between the attendance months
I want this output of the attendance periods with the 90 day rule explained above:
id
start_date
end_date
1
1/04/2010
31/08/2010
1
1/02/2011
30/04/2012
1
1/07/2012
31/08/2012
Does any one have an idea of how to do this?
So far I was just able to define the difference between the attendance months but since this is a large data set I have not been able to find a solution to define the attendance periods without making a row to row analysis.
with [table] as (
select id, year, start_date, end_date,
lag(start_date) over (partition by id order by id, year, start_date) as prev_att_month,
start_date-prev_att_month as diff
from source
)
select *
from [table]
where id = 1
One method would be to use a windowed COUNT to count how many times a value greater than 90 has appeared in the diff column, which provides a unique group number. Then you can just group your data into those groups and get the MIN and MAX values:
WITH Grps AS(
SELECT V.id,
V.year,
V.start_date,
V.end_date,
V.prev_att_month,
V.diff,
COUNT(CASE WHEN diff > 90 THEN 1 END) OVER (PARTITION BY ID ORDER BY V.start_date ASC) AS Grp
FROM (VALUES(1,2012,CONVERT(date,'20120801'),CONVERT(date,'20120831'),CONVERT(date,'2012-07-01'),31),
(1,2012,CONVERT(date,'20120701'),CONVERT(date,'20120731'),CONVERT(date,'2012-04-01'),91),
(1,2012,CONVERT(date,'20120401'),CONVERT(date,'20120430'),CONVERT(date,'2012-03-01'),31),
(1,2012,CONVERT(date,'20120301'),CONVERT(date,'20120331'),CONVERT(date,'2012-02-01'),29),
(1,2012,CONVERT(date,'20120201'),CONVERT(date,'20120229'),CONVERT(date,'2012-01-01'),31),
(1,2012,CONVERT(date,'20120101'),CONVERT(date,'20120131'),CONVERT(date,'2011-12-01'),31),
(1,2011,CONVERT(date,'20111201'),CONVERT(date,'20111231'),CONVERT(date,'2011-11-01'),30),
(1,2011,CONVERT(date,'20111101'),CONVERT(date,'20111130'),CONVERT(date,'2011-10-01'),31),
(1,2011,CONVERT(date,'20111001'),CONVERT(date,'20111031'),CONVERT(date,'2011-09-01'),30),
(1,2011,CONVERT(date,'20110901'),CONVERT(date,'20110930'),CONVERT(date,'2011-08-01'),31),
(1,2011,CONVERT(date,'20110801'),CONVERT(date,'20110831'),CONVERT(date,'2011-07-01'),31),
(1,2011,CONVERT(date,'20110701'),CONVERT(date,'20110731'),CONVERT(date,'2011-05-01'),61),
(1,2011,CONVERT(date,'20110501'),CONVERT(date,'20110531'),CONVERT(date,'2011-04-01'),30),
(1,2011,CONVERT(date,'20110401'),CONVERT(date,'20110430'),CONVERT(date,'2011-03-01'),31),
(1,2011,CONVERT(date,'20110301'),CONVERT(date,'20110331'),CONVERT(date,'2011-02-01'),28),
(1,2011,CONVERT(date,'20110201'),CONVERT(date,'20110228'),CONVERT(date,'2010-08-01'),184),
(1,2010,CONVERT(date,'20100801'),CONVERT(date,'20100831'),CONVERT(date,'2010-07-01'),31),
(1,2010,CONVERT(date,'20100701'),CONVERT(date,'20100731'),CONVERT(date,'2010-06-01'),30),
(1,2010,CONVERT(date,'20100601'),CONVERT(date,'20100630'),CONVERT(date,'2010-05-01'),31),
(1,2010,CONVERT(date,'20100501'),CONVERT(date,'20100531'),CONVERT(date,'2010-04-01'),30),
(1,2010,CONVERT(date,'20100401'),CONVERT(date,'20100430'),NULL,NULL))V(id,year,start_date,end_date,prev_att_month,diff))
SELECT id,
MIN(Start_date) AS Start_date,
MAX(End_Date) AS End_Date
FROM Grps
GROUP BY Id,
Grp
ORDER BY id,
Start_date;
I've been trying to get start and end dates range for each quarter given a specific date/year, like this:
SELECT DATEADD(mm, (quarter - 1) * 3, year_date) StartDate,
DATEADD(dd, 0, DATEADD(mm, quarter * 3, year_date)) EndDate
--quarter QuarterNo
FROM
(
SELECT '2012-01-01' year_date
) s CROSS JOIN
(
SELECT 1 quarter UNION ALL
SELECT 2 UNION ALL
SELECT 3 UNION ALL
SELECT 4
) q
which produces the following output:
2012-01-01 00:00:00 2012-04-01 00:00:00
2012-04-01 00:00:00 2012-07-01 00:00:00
2012-07-01 00:00:00 2012-10-01 00:00:00
2012-10-01 00:00:00 2013-01-01 00:00:00
Problem: I need to do this for a given start_date and end_date, the problem being the end_date=current_day, so how can I achieve this:
2012-01-01 00:00:00 2012-04-01 00:00:00
2012-04-01 00:00:00 2012-07-01 00:00:00
2012-07-01 00:00:00 2012-10-01 00:00:00
2012-10-01 00:00:00 2013-01-01 00:00:00
... ...
2021-01-01 00:00:00 2021-01-06 00:00:00
I think here is what you want to do :
SET startdatevar AS DATEtime = '2020-01-10'
;WITH RECURSIVE cte AS (
SELECT startdatevar AS startdate , DATEADD(QUARTER, 1 , startdatevar) enddate , 1 quarter
UNION ALL
SELECT enddate , CASE WHEN DATEADD(QUARTER, 1 , enddate) > CURRENT_DATE() THEN GETDATE() ELSE DATEADD(QUARTER, 1 , enddate) END enddate, quarter + 1
FROM cte
WHERE
cte.enddate <= CURRENT_DATE()
and quarter < 4
)
SELECT * FROM cte
to use your code , if you want to have more than 4 quarters :
SET quarter_limit = DATEDIFF(quarter , <startdate>,<enddate>)
;WITH RECURSIVE cte(q, qDate,enddate) as
(
select 1,
DATEFROMPARTS(year('2012-01-01'::date), 1, 1) -- First quarter date
,time_slice('2012-01-01'::date, 3, 'MONTH', 'END')
UNION ALL
select q+1,
DATEADD(q, 1, qdate) -- next quarter start date
,time_slice(qdate::date, (q+1)*3, 'MONTH', 'END')
from cte
where q < quarter_limit -- limiting the number of next quarters
AND cte.endDate <= <enddate>
)
SELECT * FROM cte
After #eshirvana's answer, I came up with this slightly change after your answer:
WITH RECURSIVE cte(q, qDate,enddate) as
(
select 1,
DATEFROMPARTS(year('2012-01-01'::date), 1, 1) -- First quarter date
,time_slice('2012-01-01'::date, 3, 'MONTH', 'END')
UNION ALL
select q+1,
DATEADD(q, 1, qdate) -- next quarter start date
,time_slice(qdate::date, (q+1)*3, 'MONTH', 'END')
from cte
where q <4 -- limiting the number of next quarters
AND cte.endDate <= CURRENT_DATE()
)
SELECT * FROM cte
Which works fine for whatever year I pass there (2012 will produce 4 records, 2021 just one, since we're still on the first quarter right now).
[EDIT]: it still doesn't work as expected after your 2nd code sugestion:
WITH RECURSIVE cte(q, qDate,enddate) as
(
select 1,
DATEFROMPARTS(year('2012-01-01'::date), 1, 1) -- First quarter date
,CASE WHEN time_slice('2012-01-01'::date, 3, 'MONTH', 'END') > CURRENT_DATE
THEN current_date
ELSE time_slice('2012-01-01'::date, 3, 'MONTH', 'END')
END
UNION ALL
select q+1,
DATEADD(q, 1, qdate) -- next quarter start date
,time_slice(qdate::date, (q+1)*3, 'MONTH', 'END')
from cte
where q < DATEDIFF(quarter , '2012-01-01'::date,'2021-01-06'::date)
AND cte.endDate <= '2021-01-06'::date
)
SELECT * FROM cte
is outputing this:
Sorry #eshirvana, it doesn't work as expected though. It all goes well to some point, but it's not returning all the records. Instead, it produces less records and wrong one, like this:
1 2012-01-01 2012-04-01
2 2012-04-01 2012-07-01
3 2012-07-01 2012-10-01
4 2012-10-01 2013-01-01
5 2013-01-01 2013-10-01
6 2013-04-01 2013-07-01
7 2013-07-01 2013-10-01
8 2013-10-01 2014-01-01
9 2014-01-01 2015-01-01
10 2014-04-01 2015-01-01
11 2014-07-01 2016-10-01
12 2014-10-01 2015-01-01
13 2015-01-01 2015-07-01
14 2015-04-01 2015-07-01
15 2015-07-01 2018-10-01
16 2015-10-01 2018-01-01
17 2016-01-01 2016-10-01
18 2016-04-01 2019-07-01
19 2016-07-01 2017-07-01
20 2016-10-01 2020-01-01
21 2017-01-01 2017-04-01
22 2017-04-01 2019-07-01
23 2017-07-01 2021-10-01
Although my logic it's still not ok for not printing just Q1 dates for 2021, could this output issues be related to date format or something?
Now, it seems to be working, at least for 2012-01-01 till today (2021-01-06).
The code :
WITH RECURSIVE cte(q, qDate,enddate) as
(
select
-- it might not be the first quarter, so better to protect that:
quarter('2012-01-01'::date)::numeric
, DATEFROMPARTS(year('2012-01-01'::date), 1, 1) -- First quarter date
, CASE WHEN time_slice('2012-01-01'::date, 3, 'MONTH', 'END') > '2021-01-06'::date
THEN '2021-01-06'::date
ELSE time_slice('2012-01-01'::date, 3, 'MONTH', 'END')
END
UNION ALL
select q+1
, DATEADD(q, 1, qdate) -- next quarter start date
,CASE WHEN time_slice(DATEADD(q, 1, qdate), 3, 'MONTH', 'END')> '2021-01-06'::date
THEN '2021-01-06'::date
ELSE time_slice(DATEADD(q, 1, qdate), 3, 'MONTH', 'END')
END
from cte
where q <= DATEDIFF(quarter , '2012-01-01'::date,'2021-01-06'::date)
AND cte.endDate <= '2021-01-06'::date
)
SELECT * FROM cte
The output:
1 2012-01-01 2012-04-01
2 2012-04-01 2012-07-01
3 2012-07-01 2012-10-01
4 2012-10-01 2013-01-01
5 2013-01-01 2013-04-01
6 2013-04-01 2013-07-01
7 2013-07-01 2013-10-01
8 2013-10-01 2014-01-01
9 2014-01-01 2014-04-01
10 2014-04-01 2014-07-01
11 2014-07-01 2014-10-01
12 2014-10-01 2015-01-01
13 2015-01-01 2015-04-01
14 2015-04-01 2015-07-01
15 2015-07-01 2015-10-01
16 2015-10-01 2016-01-01
17 2016-01-01 2016-04-01
18 2016-04-01 2016-07-01
19 2016-07-01 2016-10-01
20 2016-10-01 2017-01-01
21 2017-01-01 2017-04-01
22 2017-04-01 2017-07-01
23 2017-07-01 2017-10-01
24 2017-10-01 2018-01-01
25 2018-01-01 2018-04-01
26 2018-04-01 2018-07-01
27 2018-07-01 2018-10-01
28 2018-10-01 2019-01-01
29 2019-01-01 2019-04-01
30 2019-04-01 2019-07-01
31 2019-07-01 2019-10-01
32 2019-10-01 2020-01-01
33 2020-01-01 2020-04-01
34 2020-04-01 2020-07-01
35 2020-07-01 2020-10-01
36 2020-10-01 2021-01-01
37 2021-01-01 2021-01-06
In case you're wondering: yes, the idea is to present the end_date as last_day of the month+one. But it could easily be adapted.
It's not pretty, but I think it's somehow easy to understand.
I need to compare 2 dates and return the number of days in between. Here is a table as example:
+----+--------+-------------------------+-------------------------+
| id | userid | datestarted | datefinished |
+----+--------+-------------------------+-------------------------+
| | | | |
| 1 | 23 | 2014-03-25 09:05:00.000 | 2014-03-25 12:15:00.000 |
| 2 | 43 | 2014-03-25 09:05:00.000 | 2014-03-25 12:15:00.000 |
| 3 | 23 | 2014-03-31 09:05:00.000 | 2014-03-31 12:15:00.000 |
| 4 | 12 | 2014-03-25 09:05:00.000 | 2014-03-26 12:15:00.000 |
+----+--------+-------------------------+-------------------------+
In the first 3 cases, we have the same day, only the hours don't match.
Datestarted = 2014-03-25 09:05:00.000
Datefinished = 2014-03-25 12:15:00.000
We only input hours and minutes.
Until now, wee needed only to show the difference as whole number, without decimal points, and did it like this:
DATEDIFF(carsharing.datestarted, carsharing.datefinished)
But now, we have to show the difference between the dates as 0,5 day, if it is less than 4,5 hours. If the difference is greater it should stay as 1 day.
In the more complecated last case from the table, we should also compare and show difference between two different days
Datestarted = 2014-03-25 09:05:00.000
Datefinished = 2014-03-26 12:15:00.000
Here the result should be 1,5 days
I believe this is what you're looking for - this will round the difference to 0.5 for anything under 4.5 hours in the day, and everything else over that will go to a full day:
Declare #StartDate DateTime = '2014-03-25 09:05:00.000',
#EndDate DateTime = '2014-03-26 12:15:00.000'
;With TotalHours As
(
Select DateDiff(Minute, #StartDate, #EndDate) / 60.0 As TotalHours
)
Select Case
When TotalHours % 24 = 0
Then Floor(TotalHours / 24)
When TotalHours % 24 < 4.5
Then Floor(TotalHours / 24) + 0.5
Else Floor(TotalHours / 24) + 1.0
End As Days
From TotalHours
You can try this query. It gets the difference in minutes and multiply it by 2 in order to get a 0.5 day range. It then devide it by 24 hours and by 60 minutes before calculating the Ceiling value. Once you have it, it can be devide by 2 again.
When the value is over 4.5*24*60 (4.5 days in minutes), it only has to be devided by 24 and 60.
Query:
Select id, userid, datestarted, datefinished
, Days = Case When DATEDIFF(minute, datestarted, datefinished) > 4.5*60*24
then DATEDIFF(minute, datestarted, datefinished) / 24 / 60
else CEILING(((2.0*DATEDIFF(minute, datestarted, datefinished)) / 24 / 60)) / 2
end
From #dates
Output:
id userid datestarted datefinished Days
1 23 2014-03-25 09:05:00.000 2014-03-25 12:15:00.000 0.500000
2 43 2014-03-25 09:05:00.000 2014-03-25 12:15:00.000 0.500000
3 23 2014-03-31 09:05:00.000 2014-03-31 12:15:00.000 0.500000
4 12 2014-03-25 09:05:00.000 2014-03-26 12:15:00.000 1.500000
5 12 2014-03-25 09:05:00.000 2014-03-29 12:15:00.000 4.500000
6 12 2014-03-25 09:05:00.000 2014-03-29 22:15:00.000 4.000000
Sample Data
declare #dates table(id int, userid int, datestarted datetime, datefinished datetime);
insert into #dates(id, userid, datestarted, datefinished) values
(1, 23, '2014-03-25 09:05:00.000', '2014-03-25 12:15:00.000')
, (2, 43, '2014-03-25 09:05:00.000', '2014-03-25 12:15:00.000')
, (3, 23, '2014-03-31 09:05:00.000', '2014-03-31 12:15:00.000')
, (4, 12, '2014-03-25 09:05:00.000', '2014-03-26 12:15:00.000')
, (5, 12, '2014-03-25 09:05:00.000', '2014-03-29 12:15:00.000')
, (6, 12, '2014-03-25 09:05:00.000', '2014-03-29 22:15:00.000')
DECLARE
#StartDate datetime = '2014-03-25 09:05:00.000'
,#EndDate datetime = '2014-03-26 09:05:00.000'
;WITH d AS (SELECT DATEDIFF(d,#StartDate,#EndDate) Dys)
,h AS (SELECT DATEDIFF(hh,#StartDate,#EndDate) Hrs)
SELECT d.Dys + CASE WHEN (h.Hrs - d.Dys*24) = 0 THEN 0 ELSE CASE WHEN (h.Hrs - d.Dys*24) < 4.5 THEN 0.5 ELSE 1 END END
FROM d,h
p_id book_num conf_num arrival_dt departure_dt create-dt room_num
353 21807 3328568 19-JUN-15 21-JUN-15 27-JUN-15 2408
353 21807 3328562 18-JUN-15 20-JUN-15 27-JUN-15 2408
In the above example arrival_dt and departure_dt is overlapping for 2 different
confirmation numbers for the same room number 2408
also I want to exclude the below set of records where arrival_dt and departure_dt are same
p_id book_num conf_num arrival_dt departure_dt create-dt room_num
353 21802 3328508 18-JUN-15 21-JUN-15 27-JUN-15 1909
353 21802 3328555 18-JUN-15 21-JUN-15 27-JUN-15 1909
Can you please help me with a SQL logic to find these kind of records in the table
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE TEST ( p_id, book_num, conf_num, arrival_dt, departure_dt, create_dt, room_num ) AS
SELECT 353, 21807, 3328568, DATE '2015-06-19', DATE '2015-06-21', DATE '2015-06-27', 2408 FROM DUAL
UNION ALL SELECT 353, 21807, 3328562, DATE '2015-06-18', DATE '2015-06-20', DATE '2015-06-27', 2408 FROM DUAL
UNION ALL SELECT 353, 21802, 3328508, DATE '2015-06-18', DATE '2015-06-21', DATE '2015-06-27', 1909 FROM DUAL
UNION ALL SELECT 353, 21802, 3328555, DATE '2015-06-18', DATE '2015-06-21', DATE '2015-06-27', 1909 FROM DUAL
UNION ALL SELECT 353, 21801, 3328444, DATE '2015-06-17', DATE '2015-06-21', DATE '2015-06-27', 2000 FROM DUAL
UNION ALL SELECT 353, 21801, 3328445, DATE '2015-06-18', DATE '2015-06-20', DATE '2015-06-27', 2000 FROM DUAL
UNION ALL SELECT 353, 21803, 3328446, DATE '2015-06-19', DATE '2015-06-20', DATE '2015-06-27', 2001 FROM DUAL
UNION ALL SELECT 353, 21804, 3328447, DATE '2015-06-20', DATE '2015-06-21', DATE '2015-06-27', 2001 FROM DUAL;
Query 1:
SELECT *
FROM TEST t
WHERE EXISTS ( SELECT 'X'
FROM TEST x
WHERE x.room_num = t.room_num
AND x.arrival_dt < t.departure_dt
AND x.departure_dt > t.arrival_dt
AND NOT ( x.arrival_dt = t.arrival_dt
AND x.departure_dt = t.departure_dt ) )
Results:
| P_ID | BOOK_NUM | CONF_NUM | ARRIVAL_DT | DEPARTURE_DT | CREATE_DT | ROOM_NUM |
|------|----------|----------|------------------------|------------------------|------------------------|----------|
| 353 | 21807 | 3328568 | June, 19 2015 00:00:00 | June, 21 2015 00:00:00 | June, 27 2015 00:00:00 | 2408 |
| 353 | 21807 | 3328562 | June, 18 2015 00:00:00 | June, 20 2015 00:00:00 | June, 27 2015 00:00:00 | 2408 |
| 353 | 21801 | 3328444 | June, 17 2015 00:00:00 | June, 21 2015 00:00:00 | June, 27 2015 00:00:00 | 2000 |
| 353 | 21801 | 3328445 | June, 18 2015 00:00:00 | June, 20 2015 00:00:00 | June, 27 2015 00:00:00 | 2000 |
The correct logic is that one departs after the other arrivesa and the first arrives before the other departs. You can do this with a self-join or a where clause.
If you just want the records:
select r.*
from records r
where exists (select 1
from records r2
where r2.pid = r.pid and
r2.arrival_dt >= r.departure_dt and
r2.departure_dt <= r.arrival_dt
);
SELECT tbl.*
FROM table tbl
JOIN table tbl1 ON tbl.p_id= tbl1.p_id
WHERE tbl.Arrival_dt <= tbl1.Departure_dt
AND tbl.Departure_dt >= tbl1.Arrival_dt
I have two SQL Server tables containing the following information:
Table t_venues:
venue_id is unique
venue_id | start_date | end_date
1 | 01/01/2014 | 02/01/2014
2 | 05/01/2014 | 05/01/2014
3 | 09/01/2014 | 15/01/2014
4 | 20/01/2014 | 30/01/2014
Table t_venueuser:
venue_id is not unique
venue_id | start_date | end_date
1 | 02/01/2014 | 02/01/2014
2 | 05/01/2014 | 05/01/2014
3 | 09/01/2014 | 10/01/2014
4 | 23/01/2014 | 25/01/2014
From these two tables I need to find the dates that haven't been selected for each range, so the output would look like this:
venue_id | start_date | end_date
1 | 01/01/2014 | 01/01/2014
3 | 11/01/2014 | 15/01/2014
4 | 20/01/2014 | 22/01/2014
4 | 26/01/2014 | 30/01/2014
I can compare the two tables and get the date ranges from t_venues to appear in my query using 'except' but I can't get the query to produce the non-selected dates. Any help would be appreciated.
Calendar Table!
Another perfect candidate for a calendar table. If you can't be bothered to search for one, here's one I made earlier.
Setup Data
DECLARE #t_venues table (
venue_id int
, start_date date
, end_date date
);
INSERT INTO #t_venues (venue_id, start_date, end_date)
VALUES (1, '2014-01-01', '2014-01-02')
, (2, '2014-01-05', '2014-01-05')
, (3, '2014-01-09', '2014-01-15')
, (4, '2014-01-20', '2014-01-30')
;
DECLARE #t_venueuser table (
venue_id int
, start_date date
, end_date date
);
INSERT INTO #t_venueuser (venue_id, start_date, end_date)
VALUES (1, '2014-01-02', '2014-01-02')
, (2, '2014-01-05', '2014-01-05')
, (3, '2014-01-09', '2014-01-10')
, (4, '2014-01-23', '2014-01-25')
;
The Query
SELECT t_venues.venue_id
, calendar.the_date
, CASE WHEN t_venueuser.venue_id IS NULL THEN 1 ELSE 0 END As is_available
FROM dbo.calendar /* see: http://gvee.co.uk/files/sql/dbo.numbers%20&%20dbo.calendar.sql for an example */
INNER
JOIN #t_venues As t_venues
ON t_venues.start_date <= calendar.the_date
AND t_venues.end_date >= calendar.the_date
LEFT
JOIN #t_venueuser As t_venueuser
ON t_venueuser.venue_id = t_venues.venue_id
AND t_venueuser.start_date <= calendar.the_date
AND t_venueuser.end_date >= calendar.the_date
ORDER
BY t_venues.venue_id
, calendar.the_date
;
The Result
venue_id the_date is_available
----------- ----------------------- ------------
1 2014-01-01 00:00:00.000 1
1 2014-01-02 00:00:00.000 0
2 2014-01-05 00:00:00.000 0
3 2014-01-09 00:00:00.000 0
3 2014-01-10 00:00:00.000 0
3 2014-01-11 00:00:00.000 1
3 2014-01-12 00:00:00.000 1
3 2014-01-13 00:00:00.000 1
3 2014-01-14 00:00:00.000 1
3 2014-01-15 00:00:00.000 1
4 2014-01-20 00:00:00.000 1
4 2014-01-21 00:00:00.000 1
4 2014-01-22 00:00:00.000 1
4 2014-01-23 00:00:00.000 0
4 2014-01-24 00:00:00.000 0
4 2014-01-25 00:00:00.000 0
4 2014-01-26 00:00:00.000 1
4 2014-01-27 00:00:00.000 1
4 2014-01-28 00:00:00.000 1
4 2014-01-29 00:00:00.000 1
4 2014-01-30 00:00:00.000 1
(21 row(s) affected)
The Explanation
Our calendar tables contains an entry for every date.
We join our t_venues (as an aside, if you have the choice, lose the t_ prefix!) to return every day between our start_date and end_date. Example output for venue_id=4 for just this join:
venue_id the_date
----------- -----------------------
4 2014-01-20 00:00:00.000
4 2014-01-21 00:00:00.000
4 2014-01-22 00:00:00.000
4 2014-01-23 00:00:00.000
4 2014-01-24 00:00:00.000
4 2014-01-25 00:00:00.000
4 2014-01-26 00:00:00.000
4 2014-01-27 00:00:00.000
4 2014-01-28 00:00:00.000
4 2014-01-29 00:00:00.000
4 2014-01-30 00:00:00.000
(11 row(s) affected)
Now we have one row per day, we [outer] join our t_venueuser table. We join this in much the same manner as before, but with one added twist: we need to join based on the venue_id too!
Running this for venue_id=4 gives this result:
venue_id the_date t_venueuser_venue_id
----------- ----------------------- --------------------
4 2014-01-20 00:00:00.000 NULL
4 2014-01-21 00:00:00.000 NULL
4 2014-01-22 00:00:00.000 NULL
4 2014-01-23 00:00:00.000 4
4 2014-01-24 00:00:00.000 4
4 2014-01-25 00:00:00.000 4
4 2014-01-26 00:00:00.000 NULL
4 2014-01-27 00:00:00.000 NULL
4 2014-01-28 00:00:00.000 NULL
4 2014-01-29 00:00:00.000 NULL
4 2014-01-30 00:00:00.000 NULL
(11 row(s) affected)
See how we have a NULL value for rows where there is no t_venueuser record. Genius, no? ;-)
So in my first query I gave you a quick CASE statement that shows availability (1=available, 0=not available). This is for illustration only, but could be useful to you.
You can then either wrap the query up and then apply an extra filter on this calculated column or simply add a where clause in: WHERE t_venueuser.venue_id IS NULL and that will do the same trick.
This is a complete hack, but it gives the results you require, I've only tested it on the data you provided so there may well be gotchas with larger sets.
In general what you are looking at solving here is a variation of gaps and islands problem ,this is (briefly) a sequence where some items are missing. The missing items are referred as gaps and the existing items are referred as islands. If you would like to understand this issue in general check a few of the articles:
Simple talk article
blogs.MSDN article
SO answers tagged gaps-and-islands
Code:
;with dates as
(
SELECT vdates.venue_id,
vdates.vdate
FROM ( SELECT DATEADD(d,sv.number,v.start_date) vdate
, v.venue_id
FROM t_venues v
INNER JOIN master..spt_values sv
ON sv.type='P'
AND sv.number BETWEEN 0 AND datediff(d, v.start_date, v.end_date)) vdates
LEFT JOIN t_venueuser vu
ON vdates.vdate >= vu.start_date
AND vdates.vdate <= vu.end_date
AND vdates.venue_id = vu.venue_id
WHERE ISNULL(vu.venue_id,-1) = -1
)
SELECT venue_id, ISNULL([1],[2]) StartDate, [2] EndDate
FROM (SELECT venue_id, rDate, ROW_NUMBER() OVER (PARTITION BY venue_id, DateType ORDER BY rDate) AS rType, DateType as dType
FROM( SELECT d1.venue_id
,d1.vdate AS rDate
,'1' AS DateType
FROM dates AS d1
LEFT JOIN dates AS d0
ON DATEADD(d,-1,d1.vdate) = d0.vdate
LEFT JOIN dates AS d2
ON DATEADD(d,1,d1.vdate) = d2.vdate
WHERE CASE ISNULL(d2.vdate, '01 Jan 1753') WHEN '01 Jan 1753' THEN '2' ELSE '1' END = 1
AND ISNULL(d0.vdate, '01 Jan 1753') = '01 Jan 1753'
UNION
SELECT d1.venue_id
,ISNULL(d2.vdate,d1.vdate)
,'2'
FROM dates AS d1
LEFT JOIN dates AS d2
ON DATEADD(d,1,d1.vdate) = d2.vdate
WHERE CASE ISNULL(d2.vdate, '01 Jan 1753') WHEN '01 Jan 1753' THEN '2' ELSE '1' END = 2
) res
) src
PIVOT (MIN (rDate)
FOR dType IN
( [1], [2] )
) AS pvt
Results:
venue_id StartDate EndDate
1 2014-01-01 2014-01-01
3 2014-01-11 2014-01-15
4 2014-01-20 2014-01-22
4 2014-01-26 2014-01-30