The suggested query below took forever when I tried it.
In addition, as suggested by Tobias, I also tried to create index on
food(p_id, id), but still no goal (same query plan).
Here is the explain:
TEST1=# explain select f.p_id, max(f.id) from Food f, Person p where
(f.p_id = p.id) group by p.id;
                                                  QUERY PLAN
 GroupAggregate  (cost=0.00..214585.51 rows=569 width=16)
  ->  Merge Join  (cost=0.00..200163.50 rows=2884117 width=16)
        Merge Cond: ("outer".id = "inner".p_id)
        ->  Index Scan using person_pkey on person p
(cost=0.00..25.17 rows=569 width=8)
        ->  Index Scan using person_id_food_index on food f
(cost=0.00..164085.54 rows=2884117 width=16)
(5 rows)

TEST1=# explain select p.id, (Select f.id from food f where
f.p_id=p.id order by f.id desc limit 1) from person p;
                                               QUERY PLAN
 Seq Scan on Person p  (cost=100000000.00..100007015.24 rows=569 width=8)
    ->  Limit  (cost=0.00..12.31 rows=1 width=8)
          ->  Index Scan Backward using food_pkey on food f
(cost=0.00..111261.90 rows=9042 width=8)
                Filter: (p_id = $0)
(5 rows)

any ideas or suggestions is appreciate.

On 6/8/05, Tobias Brox <[EMAIL PROTECTED]> wrote:
> [Junaili Lie - Wed at 12:34:32PM -0700]
> > select f.p_id, max(f.id) from person p, food f where p.id=f.p_id group
> > by f.p_id will work.
> > But I understand this is not the most efficient way. Is there another
> > way to rewrite this query? (maybe one that involves order by desc
> > limit 1)
> eventually, try something like
>  select p.id,(select f.id from food f where f.p_id=p.id order by f.id desc 
> limit 1)
>  from person p
> not tested, no warranties.
> Since subqueries can be inefficient, use "explain analyze" to see which one
> is actually better.
> This issue will be solved in future versions of postgresql.
> --
> Tobias Brox, +47-91700050
> Tallinn

---------------------------(end of broadcast)---------------------------
TIP 9: the planner will ignore your desire to choose an index scan if your
      joining column's datatypes do not match

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