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create table users ( id int not null, startdate datetime not null, enddate datetime not null ); insert into users(id, startdate, enddate) values(1, '01/01/2000', '01/02/2000'); insert into users(id, startdate, enddate) values(1, '01/03/2000', '01/04/2000'); insert into users(id, startdate, enddate) values(2, '01/01/2000', '01/02/2000'); insert into users(id, startdate, enddate) values(2, '01/03/2000', '01/04/2000'); insert into users(id, startdate, enddate) values(2, '01/05/2000', '01/06/2000'); insert into users(id, startdate, enddate) values(3, '01/01/2000', '01/02/2000'); insert into users(id, startdate, enddate) values(3, '01/03/2000', '01/04/2000'); insert into users(id, startdate, enddate) values(3, '01/06/2000', '01/07/2000'); insert into users(id, startdate, enddate) values(4, '01/01/2000', '01/02/2000');
9 rows affected
select id from ( select t.*, lag(enddate) over(partition by id order by enddate) lag_enddate from users t ) t group by id having count(*) > 1 and max(case when lag_enddate is null or startdate = dateadd(day, 1, lag_enddate) then 0 else 1 end) = 0
id
1
2