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 = 'ARGENTINA' and n2.n_name = 'FRANCE') or (n1.n_name = 'FRANCE' and n2.n_name = 'ARGENTINA') ) 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=1988573.66..1988581.35 rows=3076 width=64) (actual time=29189.492..29189.493 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=5039394 read=507506 dirtied=155 written=5530 -> HashAggregate (cost=1988349.31..1988395.45 rows=3076 width=64) (actual time=29189.378..29189.395 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=5039386 read=507506 dirtied=155 written=5530 -> Hash Join (cost=62340.37..1987428.16 rows=61410 width=64) (actual time=1197.242..29077.302 rows=58570 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'ARGENTINA'::bpchar) AND (n2.n_name = 'FRANCE'::bpchar)) OR ((n1.n_name = 'FRANCE'::bpchar) AND (n2.n_name = 'ARGENTINA'::bpchar))) Rows Removed by Join Filter: 58098 Buffers: shared hit=5039386 read=507506 dirtied=155 written=5530 -> Nested Loop (cost=58604.97..1975491.12 rows=1475626 width=42) (actual time=1142.356..27953.643 rows=1461185 loops=1) Buffers: shared hit=5037203 read=507506 dirtied=155 written=5530 -> Hash Join (cost=58604.40..534837.31 rows=1211997 width=30) (actual time=1142.255..15147.111 rows=1203238 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=164950 read=126130 dirtied=155 written=1421 -> Seq Scan on orders (cost=0.00..407300.59 rows=15149959 width=8) (actual time=0.012..4621.480 rows=15000000 loops=1) Buffers: shared hit=164946 read=90855 dirtied=155 written=1345 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=1141.546..1141.546 rows=120157 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8300kB Buffers: shared hit=4 read=35275 written=76 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.054..1089.439 rows=120157 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=4 read=35275 written=76 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.009..813.230 rows=1500000 loops=1) Buffers: shared hit=3 read=35275 written=76 -> 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..0.021 rows=2 loops=1) Filter: ((n_name = 'FRANCE'::bpchar) OR (n_name = 'ARGENTINA'::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..1.15 rows=4 width=20) (actual time=0.009..0.010 rows=1 loops=1203238) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4872253 read=381376 written=4109 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=54.759..54.759 rows=7968 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 547kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.045..52.170 rows=7968 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=0.010..34.984 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.021..0.021 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=0.009..0.016 rows=2 loops=1) Filter: ((n_name = 'ARGENTINA'::bpchar) OR (n_name = 'FRANCE'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 7.447 ms Execution time: 29190.177 ms (54 rows) COMMIT; COMMIT