BEGIN; BEGIN EXPLAIN (ANALYZE, BUFFERS) select supp_nation, cust_nation, l_year, sum(volume) as revenue from ( select n1.n_name as supp_nation, n2.n_name as cust_nation, extract(year from l_shipdate) as l_year, l_extendedprice * (1 - l_discount) as volume from supplier, lineitem, orders, customer, nation n1, nation n2 where s_suppkey = l_suppkey and o_orderkey = l_orderkey and c_custkey = o_custkey and s_nationkey = n1.n_nationkey and c_nationkey = n2.n_nationkey and ( (n1.n_name = 'RUSSIA' and n2.n_name = 'KENYA') or (n1.n_name = 'KENYA' and n2.n_name = 'RUSSIA') ) and l_shipdate between date '1995-01-01' and date '1996-12-31' ) as shipping group by supp_nation, cust_nation, l_year order by supp_nation, cust_nation, l_year; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=2013826.79..2013834.46 rows=3068 width=64) (actual time=21912.387..21912.388 rows=4 loops=1) Sort Key: n1.n_name, n2.n_name, (date_part('year'::text, (lineitem.l_shipdate)::timestamp without time zone)) Sort Method: quicksort Memory: 25kB Buffers: shared hit=5032258 read=498508 dirtied=192 written=899 -> HashAggregate (cost=2013603.08..2013649.10 rows=3068 width=64) (actual time=21912.295..21912.304 rows=4 loops=1) Group Key: n1.n_name, n2.n_name, date_part('year'::text, (lineitem.l_shipdate)::timestamp without time zone) Buffers: shared hit=5032250 read=498508 dirtied=192 written=899 -> Hash Join (cost=62340.37..2012685.47 rows=61174 width=64) (actual time=1176.554..21821.602 rows=58872 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'RUSSIA'::bpchar) AND (n2.n_name = 'KENYA'::bpchar)) OR ((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'RUSSIA'::bpchar))) Rows Removed by Join Filter: 58620 Buffers: shared hit=5032250 read=498508 dirtied=192 written=899 -> Nested Loop (cost=58604.97..2000779.84 rows=1469975 width=42) (actual time=1123.922..21144.861 rows=1457421 loops=1) Buffers: shared hit=5030067 read=498508 dirtied=192 written=899 -> Hash Join (cost=58604.40..534366.29 rows=1210798 width=30) (actual time=1123.836..10418.167 rows=1199742 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=164570 read=126257 dirtied=192 written=268 -> Seq Scan on orders (cost=0.00..406897.75 rows=15134975 width=8) (actual time=0.012..4023.765 rows=15015000 loops=1) Buffers: shared hit=164566 read=90982 dirtied=192 written=196 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=1123.139..1123.139 rows=119541 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8262kB Buffers: shared hit=4 read=35275 written=72 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.055..1065.606 rows=119541 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=4 read=35275 written=72 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.006..784.308 rows=1500000 loops=1) Buffers: shared hit=3 read=35275 written=72 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.026..0.026 rows=2 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 9kB Buffers: shared hit=1 -> Seq Scan on nation n2 (cost=0.00..1.38 rows=2 width=30) (actual time=0.015..0.017 rows=2 loops=1) Filter: ((n_name = 'KENYA'::bpchar) OR (n_name = 'RUSSIA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 -> Index Scan using lineitem_l_orderkey_l_linenumber_l_shipdate_idx on lineitem (cost=0.56..1.16 rows=5 width=20) (actual time=0.008..0.008 rows=1 loops=1199742) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4865497 read=372251 written=631 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=52.247..52.247 rows=8065 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 553kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.040..49.569 rows=8065 loops=1) Hash Cond: (supplier.s_nationkey = n1.n_nationkey) Buffers: shared hit=2180 -> Seq Scan on supplier (cost=0.00..3179.00 rows=100000 width=8) (actual time=0.008..32.794 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.019..0.019 rows=2 loops=1) Buckets: 1024 Batches: 1 Memory Usage: 9kB Buffers: shared hit=1 -> Seq Scan on nation n1 (cost=0.00..1.38 rows=2 width=30) (actual time=0.012..0.015 rows=2 loops=1) Filter: ((n_name = 'RUSSIA'::bpchar) OR (n_name = 'KENYA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.638 ms Execution time: 21912.854 ms (54 rows) COMMIT; COMMIT