I have the following table
x
ID | START_DATE | END_DATE | FEATURE
---------------------------------------
001 | 1995-08-01 | 1997-12-31 | 1
001 | 1998-01-01 | 2017-03-31 | 4
001 | 2000-06-14 | 2017-03-31 | 5
001 | 2013-04-01 | 2017-03-31 | 8
002 | 1929-10-01 | 2006-05-25 | 1
002 | 2006-05-26 | 2016-11-10 | 4
002 | 2006-05-26 | 2016-11-10 | 7
002 | 2013-04-01 | 2016-11-10 | 8
I want to convert this table into a consolidated table which will look for overlapping date ranges and then combine these into new rows. Creating a non-overlapping set of date ranges.
The bit that I need the most help with is the consolidations of the ‘feature’ column which will concatenate each feature into the format below.
ID | START_DATE | END_DATE | FEATURE
---------------------------------------
001 | 1995-08-01 | 1997-12-31 | 1
001 | 1998-01-01 | 2000-06-13 | 4
001 | 2000-06-14 | 2013-03-31 | 45
001 | 2013-04-01 | 2017-03-31 | 458
002 | 1929-10-01 | 2006-05-25 | 1
002 | 2006-05-26 | 2013-03-31 | 47
002 | 2013-04-01 | 2016-11-10 | 478
I’ve used the following to create the test data.
CREATE TABLE #TEST (
[ID] [varchar](10) NULL,
[START_DATE] [date] NULL,
[END_DATE] [date] NULL,
[FEATURE] [int] NOT NULL
) ON [PRIMARY]
GO
INSERT INTO #TEST
VALUES
('001','1998-01-01','2017-03-31',4),
('001','2000-06-14','2017-03-31',5),
('001','2013-04-01','2017-03-31',8),
('001','1995-08-01','1997-12-31',1),
('002','2006-05-26','2016-11-10',4),
('002','2006-05-26','2016-11-10',7),
('002','2013-04-01','2016-11-10',8),
('002','1929-10-01','2006-05-25',1)
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Answer
You can use apply
:
select distinct t.id, t.START_DATE, t.END_DATE, coalesce(tt.feature, t.feature) as feature
from #test t outer apply
( select ' '+t1.feature
from #test t1
where t1.id = t.id and t1.end_date = t.end_date and t1.start_date <= t.start_date
order by t1.start_date
for xml path('')
) tt(feature)
order by t.id, t.START_DATE;
Here is a db<>fiddle.