I read through multiple Questions here, but did not find the answer suiting my problem.
My table holds the following columns:
id | name | fav_team
1 John Seahawks
2 Patrick Bengals
3 Tom Seahawks
4 Kate Seahawks
So I already figured out how to ask for all ids whose fav_team is 'Seahawks' but how do I manage to create a new column that for id 1 holds all the ids of that rows that have 'Seahawks' as fav_team as well, so that my output will look like this:
id | same_team
1 3, 4
3 1, 4
4 1, 3
use group_concat()
select group_concat(id) from table t1
where exists ( select 1 from table t2 where t1.fav_team=t2.fav_team
) and
You can us a correlated subquery:
select t.*,
(select group_concat(id order by id)
from t t2
where t2.fav_team = t.fav_team and t2.id <> t.id
) as others_with_same_favorite
from t;
You can also do this with window functions, but it requires diving into JSON and doing a lot of string manipulation:
select id,
trim(',' from
replace(regexp_replace(json_unquote(json_arrayagg(id) over (partition by fav_team)), '\\[|\\]|, ', ','),
concat(',', id, ','), ','
)
)
from t
order by id;
Here is a db<>fiddle for this version.
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