Reputation: 69
I need to write a query that displays time intervals that go on without interruption. Example:
Input:
create table calc(Id int, StartDate DATE, EndDate DATE);
insert into calc values(1, '2019-01-01', '2019-01-02');
insert into calc values(2, '2019-01-02', '2019-01-03');
insert into calc values(3, '2019-01-03', '2019-01-04');
insert into calc values(4, '2019-01-14', '2019-01-15');
insert into calc values(5, '2019-01-16', '2019-01-17');
insert into calc values(6, '2019-01-17', '2019-01-18');
insert into calc values(7, '2019-01-25', '2019-01-26');
insert into calc values(8, '2019-02-03', '2019-02-04');
insert into calc values(9, '2019-02-04', '2019-02-05');
insert into calc values(10, '2019-03-01', '2019-03-02');
Output:
StartDate , EndDate
'2019-01-01', '2019-01-04'
'2019-01-14', '2019-01-15'
'2019-01-16', '2019-01-18'
'2019-01-25', '2019-01-26'
'2019-02-03', '2019-02-05'
'2019-03-01', '2019-03-02'
I think we need to use the function DATEDIFF
line by line.
The problem is that I don’t know how to access indexes. Or can this problem be solved much easier?
Upvotes: 2
Views: 59
Reputation: 50173
Other option uses dateadd()
:
select min(startdate) as startdate, max(enddate) as enddate
from (select t.*,
sum(case when startdate <> prev_dt then 1 else 0 end) over (order by id) as grp
from (select t.*,
dateadd(day, 1, lag(t.startdate) over (order by t.id)) as prev_dt
from table t
) t
) t
group by grp
order by startdate;
Upvotes: 1
Reputation: 1270463
This is a type of gaps-and-islands problem. Use a lag()
to see if adjacent rows overlap. Do a cumulative sum of gaps, and then aggregate:
select min(startdate), max(enddate)
from (select c.*,
sum(case when prev_ed = startdate then 0 else 1 end) over
(order by startdate) as grp
from (select c.*,
lag(enddate) over (order by startdate) as prev_ed
from calc c
) c
) c
group by grp
order by min(startdate);
Here is a db<>fiddle.
Upvotes: 4