The approach you're using is unnecessarily complex - and very inefficient. Instead of the first function use:
create or replace function compute_pair_id_value(id bigint, value integer)
returns setof pair_id_value
as $$
SELECT $1, generate_series(0,$2);
$$
language sql;
or better, get rid of it entirely and write the whole operation like this:
-- Sample data creation:
CREATE TABLE my_obj(id bigint, obj_value integer);
insert into my_obj(id,obj_value) VALUES (1712437,2),(17000,5);
-- and the query:
SELECT id, generate_series(0,obj_value) FROM my_obj;
Resulting in:
regress=> SELECT id, generate_series(0,obj_value) FROM my_obj;
id | generate_series
---------+-----------------
1712437 | 0
1712437 | 1
1712437 | 2
17000 | 0
17000 | 1
17000 | 2
17000 | 3
17000 | 4
17000 | 5
(9 rows)
This exploits PostgreSQL's behaviour with set-returning functions called in the SELECT
list. Once PostgreSQL 9.3 comes out it can be replaced with a standards-compliant LATERAL
query.
Since it turns out your question was a simplified version of the real problem, let's tackle that. I'll work with the simplified compute_pair_id_value
above to avoid the hassle of plpython3. Here's how to do what you want:
SELECT (compute_pair_id_value(id,obj_value)).* FROM my_obj;
Result:
regress=> SELECT (compute_pair_id_value(id,obj_value)).* FROM my_obj;
id | value
---------+-------
1712437 | 0
1712437 | 1
1712437 | 2
17000 | 0
17000 | 1
17000 | 2
17000 | 3
17000 | 4
17000 | 5
(9 rows)
but again, be warned that compute_pair_id_value
will be called more than once. This is a limitation of PostgreSQL's query executor that can be avoided in 9.3 with LATERAL
support, but as far as I know you're stuck with it in 9.2 and below. Observe:
create or replace function compute_pair_id_value(id bigint, value integer)
returns setof pair_id_value
as $$
BEGIN
RAISE NOTICE 'compute_pair_id_value(%,%)',id,value;
RETURN QUERY SELECT $1, generate_series(0,$2);
END;
$$
language plpgsql;
output:
regress=> SELECT (compute_pair_id_value(id,obj_value)).* FROM my_obj;
NOTICE: compute_pair_id_value(1712437,2)
NOTICE: compute_pair_id_value(1712437,2)
NOTICE: compute_pair_id_value(17000,5)
NOTICE: compute_pair_id_value(17000,5)
id | value
---------+-------
1712437 | 0
1712437 | 1
1712437 | 2
17000 | 0
17000 | 1
17000 | 2
17000 | 3
17000 | 4
17000 | 5
(9 rows)
See how compute_pair_id_value
is called once per output column?
There is a workaround: Another layer of subquery to unpack the composite type result. See:
regress=> SELECT (val).* FROM (SELECT compute_pair_id_value(id,obj_value) FROM my_obj) x(val);
NOTICE: compute_pair_id_value(1712437,2)
NOTICE: compute_pair_id_value(17000,5)
id | value
---------+-------
1712437 | 0
1712437 | 1
1712437 | 2
17000 | 0
17000 | 1
17000 | 2
17000 | 3
17000 | 4
17000 | 5
(9 rows)
You can use the same technique in your code if you really must LOOP
over the results (it's slow to do that, so avoid it if you can).
I think this is a bug and you should report it. I think it can be demonstrated a lot easier.
SELECT '[1,5]'::int4range @> 3;
CREATE DOMAIN zdomain AS int;
CREATE TYPE myrange_int AS RANGE ( subtype = int );
CREATE TYPE myrange_zdomain AS RANGE ( subtype = zdomain );
-- WORKS
SELECT '[1,5]'::myrange_int @> 3;
SELECT '[1,5]'::myrange_zdomain @> 3::zdomain;
-- DOES NOT WORK
SELECT '[1,5]'::myrange_zdomain @> 3;
ERROR: operator does not exist: myrange_zdomain @> integer
LINE 1: SELECT '[1,5]'::myrange_zdomain @> 3;
^
HINT: No operator matches the given name and argument type(s). You might need to add explicit type casts.
I think what you want is totally reasonable. I don't think it's going to be a high priority item. My assumption is that coercion that is triggered is not looking to see if the range is over a domain, and it should.
Feel free to update your question with my example, I think it'll be a lot easier for people to follow
Best Answer
Since your two types are composed from the same basic types in the same order, they are compatible with each other. So the return type will be the same for functions using them - if I understand correctly, your problem is you want to have the different names of the returned columns depending on the type.
This cannot be done from the database, but you can easily do it from your application. It can be done like (ugly pseudocode)
ie. changing only the names, but using the same DB function. Or you can invoke two different functions, this way you can avoid dynamic SQL, which may be desirable for readability/performance, depending on some circumstances.