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CREATE TABLE mytable( Names VARCHAR(9) NOT NULL ,Dates DATE NOT NULL ); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-02'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-05'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-16'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-17'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-20'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-02-28'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-03-05'); INSERT INTO mytable(Names,Dates) VALUES ('John','2020-03-14');
8 rows affected
with data as ( select t.*, row_number() over(partition by names order by dates) rn from mytable t ), rcte as ( select d.*, dates dates_base from data d where rn = 1 union all select d.*, case when d.dates >= dateadd(day, 10, r.dates_base) then d.dates else r.dates_base end from rcte r inner join data d on d.rn = r.rn + 1 and d.names = r.names ) select names, count(distinct dates_base) res from rcte group by names
names
res
John
4