Hi everyone,

In the documentation and past messages to this list, it sounds like the
btree_gist and btree_gin modules included in contrib/ in 8.4 should give me
the functionality I'm looking for, but I don't seem to be getting the
behavior I want.

I've made an example table representing something like a simplified version
of a web discussion board.

     Table "public.example"
 Column  |   Type   | Modifiers
---------+----------+-----------
 body    | text     |
 vectors | tsvector |
 user_id | bigint   |

I've got btree_gin and btree_gist installed, so I can make a composite index
on vectors and user_id (which is a bigint).

create index index_examples_gin on example using gist (user_id,vectors);
create index index_examples_gist on example using gist (user_id,vectors);

So what I'm expecting here is that it'll be able to use one of those
composite indexes to satisfy both the user_id and the vectors constraints.
That doesn't seem to be the case, based on this query plan:

explain analyze select body from example where user_id=1 and vectors @@
to_tsquery('simple', 'when') limit 10;
                                                                   QUERY
PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------
 Limit  (cost=1786.87..10510.47 rows=10 width=5) (actual
time=203.155..244.987 rows=10 loops=1)
   ->  Bitmap Heap Scan on example  (cost=1786.87..38425.99 rows=42 width=5)
(actual time=203.153..244.980 rows=10 loops=1)
         Recheck Cond: (vectors @@ '''when'''::tsquery)
         Filter: (user_id = 1)
         ->  Bitmap Index Scan on index_examples_gist  (cost=0.00..1786.86
rows=26535 width=0) (actual time=186.711..186.711 rows=27477 loops=1)
               Index Cond: (vectors @@ '''when'''::tsquery)
 Total runtime: 245.062 ms
(7 rows)

So it seems to be using the index only to satisfy the tsquery part of the
where clause, and then applying the user_id filter to the rows it fetches.
Ideally, I'd want to see it using both columns as part of the index
condition, and not using a filter at all.  Is what I'm trying to achieve
possible?

Thanks in advance.

Kris

Reply via email to