Reputation: 2364
If I have two tables such as this:
CREATE TABLE #table1 (id INT, name VARCHAR(10))
INSERT INTO #table1 VALUES (1,'John')
INSERT INTO #table1 VALUES (2,'Alan')
INSERT INTO #table1 VALUES (3,'Dave')
INSERT INTO #table1 VALUES (4,'Fred')
CREATE TABLE #table2 (id INT, name VARCHAR(10))
INSERT INTO #table2 VALUES (1,'John')
INSERT INTO #table2 VALUES (3,'Dave')
INSERT INTO #table2 VALUES (5,'Steve')
And I want to see all rows which only appear in one of the tables, what would be the best way to go about this?
All I can think of is to either do:
SELECT * from #table1 except SELECT * FROM #table2
UNION
SELECT * from #table2 except SELECT * FROM #table1
Or something along the lines of:
SELECT id,MAX(name) as name FROM
(
SELECT *,1 as count from #table1 UNION ALL
SELECT *,1 as count from #table2
) data
group by id
HAVING SUM(count) =1
Which would return Alan,Fred and Steve in this case.
But these feel really clunky - is there a more efficient way of approaching this?
Upvotes: 5
Views: 225
Reputation: 138960
select id, name
from
(select *, count(*) over(partition by checksum(*)) as cc
from (select *
from #table1
union all
select *
from #table2
) as T
) as T
where cc = 1
Upvotes: 1
Reputation: 58615
select coalesce(t1.id, t2.id) id,
coalesce(t1.name, t2.name) name
from #table1 t1
full outer join #table2 t2
on t1.id = t2.id
where t1.id is null
or t2.id is null
The full outer join guarantees records from both sides of the join. Whatever record that does not have in both sides (the ones you are looking for) will have NULL
in one side or in other. That's why we filter for NULL
.
The COALESCE
is there to guarantee that the non NULL
value will be displayed.
Finally, it's worth highlighting that repetitions are detected by ID. If you want it also to be by name, you should add name
to the JOIN
. If you only want to be by name, join by name
only. This solution (using JOIN
) gives you that flexibility.
BTW, since you provided the CREATE
and INSERT
code, I actually ran them and the code above is a fully working code.
Upvotes: 6