Reputation: 903
I have 2 tables
Table 1
A | B | C | D | E | F
a Mi 2 1 4 001
b Ma 3 1 4 001
c NA 1 1 4 001
b Na 3 1 4 001
d Na 2 1 4 001
a Mi 2 1 4 002
b Na 3 1 4 002
c Ma 1 1 4 002
d Na 2 1 4 001
Table 2
A | B | C | D | E
a Mi 2 1 4
b Ma 3 1 4
c NA 1 1 4
d Na 2 1 4
OutPut :
F | D
001 1
So columns A, B, C, D, E and F are all columns that specific conditions in them. Table 1 is the table with data that needs to be compare to data in table2. If all records in different columns except F
match from Table1 to the records in Table2, only those records should be selected in the output.
Only 001 from column F is displayed because it has all the 4 rows with the same values in the same columns as given in Table 2. Records with value 002 in column F are not selected because they do not have all the rows in table 2. They do have all 4 rows but the record with b does not have all the same matching values.
The final result need not be the output i have mentioned. It could just be all those rows that match the rows given in Table 2. The output is just what the last step is . I can achieve that if i get all rows that match all the records in table 2 like by like.
Something I tried-
select count(A) over(Partition by A,B,C,D,E,F) as rw,*
into #temp1
from Table1
select sum(rw) as sm, F
from #temp1 group by F
select F
from #temp
where sm = (select count(A) from Table2)
One of the issues with this logic is that 002 can have 2-3 duplicated rows which might result in the count being equal to the count of rows in table2 .
Upvotes: 2
Views: 3928
Reputation: 164184
With a join of the tables and then group by F
:
select t1.f, max(t1.d) d
from table2 t2 inner join (select distinct * from table1) t1
on t1.A = t2.A and t1.B = t2.B and t1.C = t2.C and t1.D = t2.D and t1.E = t2.E
group by t1.f
having count(*) = (select count(*) from table2)
I used max(t1.d)
as it is not clear if the value of D is the same for each F.
See the demo.
Results:
> f | d
> :-- | -:
> 001 | 1
If you want the rows from table1 that match the rows from table2, use a CTE:
with cte as (
select t1.f
from table2 t2 inner join (select distinct * from table1) t1
on t1.A = t2.A and t1.B = t2.B and t1.C = t2.C and t1.D = t2.D and t1.E = t2.E
group by t1.f
having count(*) = (select count(*) from table2)
)
select t1.* from table1 t1
where
t1.f in (select f from cte)
and exists (
select 1 from table2 t2
where t1.A = t2.A and t1.B = t2.B and t1.C = t2.C and t1.D = t2.D and t1.E = t2.E
)
See the demo.
Results:
> A | B | C | D | E | F
> :- | :- | -: | -: | -: | :--
> a | Mi | 2 | 1 | 4 | 001
> b | Ma | 3 | 1 | 4 | 001
> c | NA | 1 | 1 | 4 | 001
> d | Na | 2 | 1 | 4 | 001
> d | Na | 2 | 1 | 4 | 001
If you want distinct rows use:
select distinct t1.* from table1 t1
instead.
Results:
> A | B | C | D | E | F
> :- | :- | -: | -: | -: | :--
> a | Mi | 2 | 1 | 4 | 001
> b | Ma | 3 | 1 | 4 | 001
> c | NA | 1 | 1 | 4 | 001
> d | Na | 2 | 1 | 4 | 001
Upvotes: 1
Reputation: 7250
Disregarding the suspect row I mention in the comment, I think this is what you want:
select *
from [Table 1] t1
where exists
(
select 1
from [Table 2] t2
where
t1.A=t2.A
and t1.B=t2.B
and t1.C=t2.C
and t1.D=t2.D
and t1.E=t2.E
)
Upvotes: 1