Hi Les,
I have reviewed the whole thread, and I do not see usage of gist or gin indexes. Have you tried using Gist or GIN indexes instead of a normal b-tree?
B-trees are a good option when your search is simple(e.g. =, >, <). The operators you are using are "like" or "^@", which fall into a full-text search category; in such scenarios, b-tree may not be effective every time. Hence, it may not deliver the result in the expected time-frame. I recommend you to try creating a Gist or a GIN index here.
Regards,
Ninad
>
> It does not help.
What if you try applying the C collation to the values from the table:
where fi.is_active and fi.relpath collate "C" ^@ 'A'
Slow
EXPLAIN (ANALYZE, COSTS, VERBOSE, BUFFERS)
select fi.id from media.oo_file fi
where fi.is_active and fi.relpath collate "C" ^@ 'A' limit 1; QUERY PLAN |
--------------------------------------------------------------------------------------------------------------------------+
Limit (cost=0.00..1904.09 rows=1 width=8) (actual time=3837.338..3837.340 rows=0 loops=1) |
Output: id |
Buffers: shared hit=9355 read=121908 |
-> Seq Scan on media.oo_file fi (cost=0.00..144710.65 rows=76 width=8) (actual time=3837.336..3837.336 rows=0 loops=1)|
Output: id |
Filter: (fi.is_active AND ((fi.relpath)::text ^@ 'A'::text)) |
Rows Removed by Filter: 1075812 |
Buffers: shared hit=9355 read=121908 |
Planning Time: 0.391 ms |
Execution Time: 3837.364 ms |
