coverdb=# explain analyze SELECT id , title, artist, music, lyrics, year FROM search_song WHERE search_title IS NOT NULL LIMIT 20 OFFSET 0 ; QUERY PLAN --------------------------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=0.00..0.41 rows=20 width=28) (actual time=1.52..6.54 rows=20 loops=1) -> Subquery Scan search_song (cost=0.00..134.93 rows=6593 width=28) (actual time=1.52..6.53 rows=21 loops=1) -> Seq Scan on song r (cost=0.00..134.93 rows=6593 width=28) (actual time=1.51..6.45 rows=21 loops=1) Filter: (title IS NOT NULL) SubPlan -> Aggregate (cost=8.14..8.14 rows=1 width=25) (actual time=0.07..0.07 rows=1 loops=21) -> Nested Loop (cost=0.00..8.14 rows=2 width=25) (actual time=0.02..0.03 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=2 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 0) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: ("outer".artist_id = a.id) -> Aggregate (cost=8.14..8.14 rows=1 width=25) (actual time=0.04..0.04 rows=1 loops=21) -> Nested Loop (cost=0.00..8.14 rows=2 width=25) (actual time=0.02..0.02 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=2 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 0) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: ("outer".artist_id = a.id) -> Aggregate (cost=6.35..6.35 rows=1 width=25) (actual time=0.04..0.04 rows=1 loops=21) -> Nested Loop (cost=0.00..6.35 rows=1 width=25) (actual time=0.01..0.02 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=1 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 1) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=15) Index Cond: ("outer".artist_id = a.id) -> Aggregate (cost=6.35..6.35 rows=1 width=25) (actual time=0.03..0.03 rows=1 loops=21) -> Nested Loop (cost=0.00..6.35 rows=1 width=25) (actual time=0.01..0.02 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=1 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 1) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=15) Index Cond: ("outer".artist_id = a.id) -> Aggregate (cost=6.45..6.45 rows=1 width=25) (actual time=0.04..0.04 rows=1 loops=21) -> Nested Loop (cost=0.00..6.45 rows=1 width=25) (actual time=0.01..0.02 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=1 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 2) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=14) Index Cond: ("outer".artist_id = a.id) -> Aggregate (cost=6.45..6.45 rows=1 width=25) (actual time=0.03..0.03 rows=1 loops=21) -> Nested Loop (cost=0.00..6.45 rows=1 width=25) (actual time=0.01..0.02 rows=1 loops=21) -> Index Scan using credit_song_idx on credit c (cost=0.00..3.08 rows=1 width=4) (actual time=0.01..0.01 rows=1 loops=21) Index Cond: (song_id = $0) Filter: (type_id = 2) -> Index Scan using artist_pkey on artist a (cost=0.00..3.02 rows=1 width=21) (actual time=0.01..0.01 rows=1 loops=14) Index Cond: ("outer".artist_id = a.id) Total runtime: 7.23 msec (48 rows)