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 = 'JAPAN' and n2.n_name = 'UNITED STATES') or (n1.n_name = 'UNITED STATES' and n2.n_name = 'JAPAN') ) 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=1984587.06..1984594.70 rows=3056 width=64) (actual time=20802.710..20802.711 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=5037415 read=500329 dirtied=10 written=10609 -> HashAggregate (cost=1984364.32..1984410.16 rows=3056 width=64) (actual time=20802.621..20802.629 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=5037407 read=500329 dirtied=10 written=10609 -> Hash Join (cost=62340.37..1983451.16 rows=60877 width=64) (actual time=897.738..20709.571 rows=58422 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'JAPAN'::bpchar) AND (n2.n_name = 'UNITED STATES'::bpchar)) OR ((n1.n_name = 'UNITED STATES'::bpchar) AND (n2.n_name = 'JAPAN'::bpchar))) Rows Removed by Join Filter: 58157 Buffers: shared hit=5037407 read=500329 dirtied=10 written=10609 -> Nested Loop (cost=58604.97..1971585.21 rows=1462835 width=42) (actual time=848.050..20041.972 rows=1459598 loops=1) Buffers: shared hit=5035224 read=500329 dirtied=10 written=10609 -> Hash Join (cost=58604.40..533895.27 rows=1209599 width=30) (actual time=847.927..9625.343 rows=1201206 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=201284 read=89290 dirtied=10 written=2007 -> Seq Scan on orders (cost=0.00..406494.91 rows=15119991 width=8) (actual time=0.010..3628.350 rows=15000000 loops=1) Buffers: shared hit=187777 read=67518 dirtied=10 written=1984 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=847.075..847.075 rows=119763 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8276kB Buffers: shared hit=13507 read=21772 written=23 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.069..800.083 rows=119763 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=13507 read=21772 written=23 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.012..563.377 rows=1500000 loops=1) Buffers: shared hit=13506 read=21772 written=23 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.023..0.023 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..0.018 rows=2 loops=1) Filter: ((n_name = 'UNITED STATES'::bpchar) OR (n_name = 'JAPAN'::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=0.007..0.008 rows=1 loops=1201206) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4833940 read=411039 written=8602 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=49.538..49.538 rows=8013 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 550kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.044..46.912 rows=8013 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=0.007..30.532 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.020..0.020 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=0.011..0.014 rows=2 loops=1) Filter: ((n_name = 'JAPAN'::bpchar) OR (n_name = 'UNITED STATES'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.247 ms Execution time: 20803.242 ms (54 rows) COMMIT; COMMIT