Wie man Gruppen von Tupeln in SQL vergleicht

Etwas in der Art

create table t1 (group_id varchar2(20), value varchar2(20));
create table t2 (group_id varchar2(20), value varchar2(20));

insert into t1 values ('A','FOO');
insert into t1 values ('A','BAR');
insert into t1 values ('X','HHH');
insert into t1 values ('X','ZOO');
insert into t2 values ('C','FOO');
insert into t2 values ('C','BAR');
insert into t2 values ('B','ZOO');


select t1.group_id t1_group,t2.group_id t2_group, 
      --t1.all_val, t2.all_val, 
       case when t1.all_val = t2.all_val then 'match' else 'no match' end coll_match
from 
  (select 'T1' tab_id, group_id, collect(value) all_val, 
          min(value) min_val, max(value) max_val, count(distinct value) cnt_val 
  from t1 group by group_id) t1
full outer join
  (select 'T2' tab_id, group_id, collect(value) all_val, 
          min(value) min_val, max(value) max_val, count(distinct value) cnt_val 
  from t2 group by group_id) t2
on t1.min_val = t2.min_val and t1.max_val = t2.max_val and t1.cnt_val = t2.cnt_val
/

Ich habe eine vorläufige Eliminierung basierend auf dem Minimum, Maximum und der Anzahl unterschiedlicher Werte in jeder Gruppe durchgeführt, was bei großen Datensätzen hilfreich wäre. Wenn die Datensätze klein genug sind, benötigen Sie sie möglicherweise nicht.

Das sagt Ihnen die Übereinstimmungen. Sie müssen es nur einen zusätzlichen Schritt weiterschieben, um die Gruppen zu finden, die keine Übereinstimmungen haben

select t1_group
from
(
  select t1.group_id t1_group,t2.group_id t2_group, 
        --t1.all_val, t2.all_val, 
         case when t1.all_val = t2.all_val then 'match' end coll_match
  from 
    (select 'T1' tab_id, group_id, collect(value) all_val
    from t1 group by group_id) t1
  cross join
    (select 'T2' tab_id, group_id, collect(value) all_val
    from t2 group by group_id) t2
)
group by t1_group
having min(coll_match) is null
/

select t2_group
from
(
  select t1.group_id t1_group,t2.group_id t2_group, 
        --t1.all_val, t2.all_val, 
         case when t1.all_val = t2.all_val then 'match' end coll_match
  from 
    (select 'T1' tab_id, group_id, collect(value) all_val
    from t1 group by group_id) t1
  cross join
    (select 'T2' tab_id, group_id, collect(value) all_val
    from t2 group by group_id) t2
)
group by t2_group
having min(coll_match) is null
/