我会使用解析函数:
with sample_data as (select 1 id, 1 grp_id, to_date('01/01/2015', 'dd/mm/yyyy') st_dt, to_date('23/01/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 2 id, 1 grp_id, to_date('24/02/2015', 'dd/mm/yyyy') st_dt, to_date('15/02/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 3 id, 1 grp_id, to_date('17/03/2015', 'dd/mm/yyyy') st_dt, to_date('30/03/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 4 id, 2 grp_id, to_date('01/01/2015', 'dd/mm/yyyy') st_dt, to_date('17/01/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 5 id, 2 grp_id, to_date('21/01/2015', 'dd/mm/yyyy') st_dt, to_date('23/03/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 6 id, 2 grp_id, to_date('14/04/2015', 'dd/mm/yyyy') st_dt, to_date('16/05/2015', 'dd/mm/yyyy') ed_dt from dual union all
select 7 id, 2 grp_id, to_date('28/05/2015', 'dd/mm/yyyy') st_dt, null ed_dt from dual),
res as (select id,
grp_id,
st_dt,
ed_dt,
max(st_dt) over (partition by grp_id) max_st_dt
from sample_data)
select id,
grp_id,
st_dt,
ed_dt
from res
where st_dt = max_st_dt
and ed_dt is not null;
ID GRP_ID ST_DT ED_DT
---------- ---------- ---------- ----------
3 1 17/03/2015 30/03/2015