I'm trying to call a stored procedure passing parameters in a left outer join like this:
select i.name,sp.*
from items i
left join compute_prices(i.id,current_date) as sp(price numeric(15,2),
discount numeric(5,2), taxes numeric(5,2)) on 1=1
where i.type = 404;
compute_prices()
returns a setof record.
This is the message postgres shows:
ERROR: invalid reference to FROM-clause entry for table "i"
...left join compute_prices(i.id,current_date)...
HINT: There is an entry for table "i", but it cannot be referenced from this part of the query.
This kind of query works in Firebird. Is there a way I could make it work by just using a query? I don't want to create another stored procedure that cycles through items and makes separate calls to compute_prices()
.
Generally, you can expand well known row types (a.k.a. record type, complex type, composite type) with the simple syntax @Daniel supplied:
SELECT i.name, (compute_prices(i.id, current_date)).*
FROM items i
WHERE i.type = 404;
However, if your description is accurate ...
The compute_prices sp returns a setof record.
... we are dealing with anonymous records. Postgres does not know how to expand anonymous records and throws an EXCEPTION in despair:
ERROR: a column definition list is required for functions returning "record"
There is a solution for that in Postgres 9.3. LATERAL
, as mentioned by @a_horse in the comments:
SELECT i.name, sp.*
FROM items i
LEFT JOIN LATERAL compute_prices(i.id,current_date) AS sp (
price numeric(15,2)
,discount numeric(5,2)
,taxes numeric(5,2)
) ON TRUE
WHERE i.type = 404;
Details in the manual.
Things get hairy. Here's a workaround: write a wrapper function that converts your anonymous records into a well known type:
CREATE OR REPLACE FUNCTION compute_prices_wrapper(int, date)
RETURNS TABLE (
price numeric(15,2)
,discount numeric(5,2)
,taxes numeric(5,2)
) AS
$func$
SELECT * FROM compute_prices($1, $2)
AS t(price numeric(15,2)
,discount numeric(5,2)
,taxes numeric(5,2));
$func$ LANGUAGE sql;
Then you can use the simple solution by @Daniel and just drop in the wrapper function:
SELECT i.name, (compute_prices_wrapper(i.id, current_date)).*
FROM items i
WHERE i.type = 404;
PostgreSQL 8.3 has just reached EOL and is unsupported as of now (Feb. 2013).
So you'd better upgrade if at all possible. But if you can't:
CREATE OR REPLACE FUNCTION compute_prices_wrapper(int, date
,OUT price numeric(15,2)
,OUT discount numeric(5,2)
,OUT taxes numeric(5,2))
RETURNS SETOF record AS
$func$
SELECT * FROM compute_prices($1, $2)
AS t(price numeric(15,2)
,discount numeric(5,2)
,taxes numeric(5,2));
$func$ LANGUAGE sql;
Works in later versions, too.
The proper solution would be to fix your function compute_prices()
to return a well know type to begin with. Functions returning SETOF record
are generally a PITA. I only poke those with a five-meter-pole.
Assuming the compute_prices
function always return a record with 3 prices, you could make its return type to TABLE (price numeric(15,2), discount numeric(5,2),taxes numeric(5,2))
, and then I believe what you want could be expressed as:
SELECT i.name, (compute_prices(i.id,current_date)).*
FROM items i
WHERE i.type=404;
Note that its seems to me that LEFT JOIN ON 1=1
does not differ from an unconstrained normal JOIN (or CROSS JOIN), and I interpreted the question as actually unrelated to the left join.
I believe Daniel's answer will work also but haven't tried it yet. I do know that I have an SP called list_failed_jobs2 in a schema called logging, and a dummy table called Dual (like in Oracle) and the following statement works for me:
select * from Dual left join
(select * from logging.list_failed_jobs2()) q on 1=1;
Note, the SP call will not work without the parens, the correlation (q), or the ON clause. My SP returns a SETOF also.
Thus, I suspect something like this will work for you:
select i.name,sp.*
from items i
left join (select * from compute_prices(i.id,current_date)) as sp on 1=1
where i.type = 404;
Hope that helps.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With