Thanks Philip, yes i tried, but that is not solving, still slow. Take a look at the log.
------------------------------------------------------------ -------------------------------------------------------------- Limit (cost=3.46..106.87 rows=10 width=4) (actual time=396555.327..396555.327 rows=0 loops=1) -> Nested Loop (cost=3.46..214781.07 rows=20770 width=4) (actual time=396555.326..396555.326 rows=0 loops=1) Join Filter: (tipofase.id = fase.tipofase) -> Index Scan Backward using test_prova_2 on fase (cost=0.43..192654.24 rows=1474700 width=8) (actual time=1.147..395710.190 rows=1475146 loops=1) -> Materialize (cost=3.03..6.34 rows=1 width=8) (actual time=0.000..0.000 rows=0 loops=1475146) -> Hash Semi Join (cost=3.03..6.33 rows=1 width=8) (actual time=0.081..0.081 rows=0 loops=1) Hash Cond: (tipofase.id = tipofase_1.id) -> Seq Scan on tipofase (cost=0.00..3.02 rows=102 width=4) (actual time=0.003..0.003 rows=1 loops=1) -> Hash (cost=3.02..3.02 rows=1 width=4) (actual time=0.064..0.064 rows=0 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 0kB -> Seq Scan on tipofase tipofase_1 (cost=0.00..3.02 rows=1 width=4) (actual time=0.063..0.063 rows=0 loops=1) Filter: agendafrontoffice Rows Removed by Filter: 102 *Planning time: 1.254 msExecution time: 396555.499 ms* ------------------------------------------------------------ -------------------------------------------------------------- *The only way to speedup i found is this one* SELECT fase.id FROM tipofase JOIN fase ON (fase.tipofase = (SELECT tipofase.id FROM tipofase WHERE tipofase.agendafrontoffice = true)) ORDER BY fase.id DESC limit 10 offset 0 ------------------------------------------------------------ -------------------------------------------------------------- Limit (cost=3.45..3.58 rows=10 width=4) (actual time=0.082..0.082 rows=0 loops=1) InitPlan 1 (returns $0) -> Seq Scan on tipofase tipofase_1 (cost=0.00..3.02 rows=1 width=4) (actual time=0.072..0.072 rows=0 loops=1) Filter: agendafrontoffice Rows Removed by Filter: 102 -> Nested Loop (cost=0.43..27080.93 rows=2118540 width=4) (actual time=0.081..0.081 rows=0 loops=1) -> Index Only Scan Backward using fase_test_prova_4 on fase (cost=0.43..595.90 rows=20770 width=4) (actual time=0.080..0.080 rows=0 loops=1) Index Cond: (tipofase = $0) Heap Fetches: 0 -> Materialize (cost=0.00..3.53 rows=102 width=0) (never executed) -> Seq Scan on tipofase (cost=0.00..3.02 rows=102 width=0) (never executed) *Planning time: 0.471 msExecution time: 0.150 ms* ------------------------------------------------------------ -------------------------------------------------------------- Anyone knows? I'm a bit worried about performance in my web app beacause sometimes filters are written dinamically at the end, and i would like to avoid these problems.