#WITH OUT INDICES Hash Join (cost=104.63..105.59 rows=1 width=524) (actual time=0.254..0.258 rows=8 loops=1) Hash Cond: ((pc.genre_id = playcounts.genre_id) AND (pc.play_count = (max(playcounts.play_count)))) Buffers: shared hit=223 CTE playcounts -> HashAggregate (cost=102.35..102.73 rows=38 width=291) (actual time=0.234..0.238 rows=15 loops=1) " Group Key: g.genre_id, ar.name" Batches: 1 Memory Usage: 24kB Buffers: shared hit=223 -> Hash Join (cost=91.39..102.07 rows=38 width=283) (actual time=0.189..0.224 rows=38 loops=1) Hash Cond: (tr.genre_id = g.genre_id) Buffers: shared hit=223 -> Nested Loop (cost=89.82..100.38 rows=38 width=25) (actual time=0.162..0.192 rows=38 loops=1) Buffers: shared hit=222 -> Seq Scan on customer c (cost=0.00..3.67 rows=1 width=4) (actual time=0.008..0.012 rows=1 loops=1) Filter: (customer_id = 5) Rows Removed by Filter: 53 Buffers: shared hit=3 -> Hash Join (cost=89.82..96.33 rows=38 width=29) (actual time=0.153..0.177 rows=38 loops=1) Hash Cond: (ar.artist_id = a.artist_id) Buffers: shared hit=219 -> Seq Scan on artist ar (cost=0.00..4.75 rows=275 width=25) (actual time=0.005..0.015 rows=275 loops=1) Buffers: shared hit=2 -> Hash (cost=89.35..89.35 rows=38 width=12) (actual time=0.138..0.138 rows=38 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 10kB Buffers: shared hit=217 -> Nested Loop (cost=4.91..89.35 rows=38 width=12) (actual time=0.033..0.133 rows=38 loops=1) Buffers: shared hit=217 -> Nested Loop (cost=4.76..82.86 rows=38 width=12) (actual time=0.028..0.099 rows=38 loops=1) Buffers: shared hit=141 -> Nested Loop (cost=4.48..67.66 rows=38 width=8) (actual time=0.022..0.047 rows=38 loops=1) Buffers: shared hit=27 -> Bitmap Heap Scan on invoice i (cost=4.20..10.60 rows=7 width=8) (actual time=0.015..0.018 rows=7 loops=1) Recheck Cond: (customer_id = 5) Heap Blocks: exact=5 Buffers: shared hit=6 -> Bitmap Index Scan on invoice_customer_id_idx (cost=0.00..4.20 rows=7 width=0) (actual time=0.009..0.009 rows=7 loops=1) Index Cond: (customer_id = 5) Buffers: shared hit=1 -> Index Scan using invoice_line_invoice_id_idx on invoice_line il (cost=0.28..8.10 rows=5 width=8) (actual time=0.002..0.003 rows=5 loops=7) Index Cond: (invoice_id = i.invoice_id) Buffers: shared hit=21 -> Index Scan using track_pkey on track tr (cost=0.28..0.40 rows=1 width=12) (actual time=0.001..0.001 rows=1 loops=38) Index Cond: (track_id = il.track_id) Buffers: shared hit=114 -> Index Scan using album_pkey on album a (cost=0.15..0.17 rows=1 width=8) (actual time=0.001..0.001 rows=1 loops=38) Index Cond: (album_id = tr.album_id) Buffers: shared hit=76 -> Hash (cost=1.25..1.25 rows=25 width=262) (actual time=0.023..0.023 rows=25 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 10kB Buffers: shared hit=1 -> Seq Scan on genre g (cost=0.00..1.25 rows=25 width=262) (actual time=0.013..0.015 rows=25 loops=1) Buffers: shared hit=1 -> CTE Scan on playcounts pc (cost=0.00..0.76 rows=38 width=528) (actual time=0.236..0.237 rows=15 loops=1) Buffers: shared hit=223 -> Hash (cost=1.33..1.33 rows=38 width=12) (actual time=0.012..0.012 rows=8 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 9kB -> HashAggregate (cost=0.95..1.33 rows=38 width=12) (actual time=0.009..0.010 rows=8 loops=1) Group Key: playcounts.genre_id Batches: 1 Memory Usage: 24kB -> CTE Scan on playcounts (cost=0.00..0.76 rows=38 width=12) (actual time=0.001..0.006 rows=15 loops=1) Planning: Buffers: shared hit=110 dirtied=1 Planning Time: 3.223 ms Execution Time: 0.372 ms #WITH INDICES Hash Join (cost=100.63..101.59 rows=1 width=524) (actual time=0.249..0.254 rows=8 loops=1) Hash Cond: ((pc.genre_id = playcounts.genre_id) AND (pc.play_count = (max(playcounts.play_count)))) Buffers: shared hit=223 CTE playcounts -> HashAggregate (cost=98.35..98.73 rows=38 width=291) (actual time=0.230..0.233 rows=15 loops=1) " Group Key: g.genre_id, ar.name" Batches: 1 Memory Usage: 24kB Buffers: shared hit=223 -> Hash Join (cost=87.39..98.07 rows=38 width=283) (actual time=0.185..0.220 rows=38 loops=1) Hash Cond: (tr.genre_id = g.genre_id) Buffers: shared hit=223 -> Nested Loop (cost=85.82..96.38 rows=38 width=25) (actual time=0.157..0.186 rows=38 loops=1) Buffers: shared hit=222 -> Seq Scan on customer c (cost=0.00..3.67 rows=1 width=4) (actual time=0.008..0.011 rows=1 loops=1) Filter: (customer_id = 5) Rows Removed by Filter: 53 Buffers: shared hit=3 -> Hash Join (cost=85.82..92.33 rows=38 width=29) (actual time=0.148..0.172 rows=38 loops=1) Hash Cond: (ar.artist_id = a.artist_id) Buffers: shared hit=219 -> Seq Scan on artist ar (cost=0.00..4.75 rows=275 width=25) (actual time=0.006..0.016 rows=275 loops=1) Buffers: shared hit=2 -> Hash (cost=85.35..85.35 rows=38 width=12) (actual time=0.133..0.133 rows=38 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 10kB Buffers: shared hit=217 -> Nested Loop (cost=4.91..85.35 rows=38 width=12) (actual time=0.031..0.127 rows=38 loops=1) Buffers: shared hit=217 -> Nested Loop (cost=4.76..78.86 rows=38 width=12) (actual time=0.027..0.096 rows=38 loops=1) Buffers: shared hit=141 -> Nested Loop (cost=4.48..63.66 rows=38 width=8) (actual time=0.022..0.046 rows=38 loops=1) Buffers: shared hit=27 -> Bitmap Heap Scan on invoice i (cost=4.20..10.60 rows=7 width=8) (actual time=0.015..0.019 rows=7 loops=1) Recheck Cond: (customer_id = 5) Heap Blocks: exact=5 Buffers: shared hit=6 -> Bitmap Index Scan on idx_invoice_customer_id (cost=0.00..4.20 rows=7 width=0) (actual time=0.008..0.008 rows=7 loops=1) Index Cond: (customer_id = 5) Buffers: shared hit=1 -> Index Scan using idx_invoice_line_invoice_id on invoice_line il (cost=0.28..7.53 rows=5 width=8) (actual time=0.002..0.003 rows=5 loops=7) Index Cond: (invoice_id = i.invoice_id) Buffers: shared hit=21 -> Index Scan using track_pkey on track tr (cost=0.28..0.40 rows=1 width=12) (actual time=0.001..0.001 rows=1 loops=38) Index Cond: (track_id = il.track_id) Buffers: shared hit=114 -> Index Scan using album_pkey on album a (cost=0.15..0.17 rows=1 width=8) (actual time=0.001..0.001 rows=1 loops=38) Index Cond: (album_id = tr.album_id) Buffers: shared hit=76 -> Hash (cost=1.25..1.25 rows=25 width=262) (actual time=0.024..0.024 rows=25 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 10kB Buffers: shared hit=1 -> Seq Scan on genre g (cost=0.00..1.25 rows=25 width=262) (actual time=0.015..0.017 rows=25 loops=1) Buffers: shared hit=1 -> CTE Scan on playcounts pc (cost=0.00..0.76 rows=38 width=528) (actual time=0.231..0.232 rows=15 loops=1) Buffers: shared hit=223 -> Hash (cost=1.33..1.33 rows=38 width=12) (actual time=0.013..0.013 rows=8 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 9kB -> HashAggregate (cost=0.95..1.33 rows=38 width=12) (actual time=0.009..0.011 rows=8 loops=1) Group Key: playcounts.genre_id Batches: 1 Memory Usage: 24kB -> CTE Scan on playcounts (cost=0.00..0.76 rows=38 width=12) (actual time=0.001..0.006 rows=15 loops=1) Planning: Buffers: shared hit=51 Planning Time: 0.858 ms Execution Time: 0.345 ms