Re: BRIN index which is much faster never chosen by planner

In the OP I had mentioned that I already increased it to 5000, and it made no difference.  Ah fine.... let's go ahead and try 10000... still no change:

foo_prod=# ALTER TABLE log_table ALTER COLUMN rec_insert_time SET STATISTICS 10000;
ALTER TABLE
foo_prod=# ANALYZE log_table;
ANALYZE
foo_prod=# EXPLAIN
SELECT
 category, source, MIN(rec_insert_time) OVER (partition by source order by rec_insert_time) AS first_source_time, MAX(rec_insert_time) OVER (partition by source order by rec_insert_time) AS last_source_time
FROM (SELECT DISTINCT ON (brand_id, last_change, log_id)
category, source(field1) AS source, rec_insert_time
FROM log_table l
INNER JOIN public.small_join_table filter ON filter.category = l.category
WHERE field1 IS NOT NULL AND l.category = 'music'
AND l.rec_insert_time >= now() - interval '10 days'
ORDER BY brand_id, last_change, log_id, rec_insert_time DESC) unique_cases;
                                                                               QUERY PLAN
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 WindowAgg  (cost=24451299.20..24451313.21 rows=623 width=120)
   ->  Sort  (cost=24451299.20..24451300.75 rows=623 width=104)
         Sort Key: unique_cases.source, unique_cases.rec_insert_time
         ->  Subquery Scan on unique_cases  (cost=24451257.82..24451270.28 rows=623 width=104)
               ->  Unique  (cost=24451257.82..24451264.05 rows=623 width=124)
                     ->  Sort  (cost=24451257.82..24451259.38 rows=623 width=124)
                           Sort Key: l.brand_id, l.last_change, l.log_id, l.rec_insert_time DESC
                           ->  Nested Loop  (cost=0.00..24451228.90 rows=623 width=124)
                                 Join Filter: ((l.category)::text = filter.category)
                                 ->  Seq Scan on small_join_table filter  (cost=0.00..26.99 rows=1399 width=8)
                                 ->  Materialize  (cost=0.00..24435949.31 rows=623 width=99)
                                       ->  Seq Scan on log_table l  (cost=0.00..24435946.20 rows=623 width=99)
                                             Filter: ((field1 IS NOT NULL) AND (category = 'music'::name) AND (rec_insert_time >= (now() - '10 days'::interval)))
(13 rows)

Thanks,

Jeremy