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 = 'IRAN' and n2.n_name = 'JAPAN') or (n1.n_name = 'JAPAN' and n2.n_name = 'IRAN') ) 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=2152042.95..2152050.64 rows=3076 width=64) (actual time=19880.823..19880.824 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=6185843 read=179030 -> HashAggregate (cost=2151818.60..2151864.74 rows=3076 width=64) (actual time=19880.757..19880.767 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=6185835 read=179030 -> Hash Join (cost=62340.37..2150896.12 rows=61499 width=64) (actual time=917.471..19796.038 rows=58430 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'IRAN'::bpchar) AND (n2.n_name = 'JAPAN'::bpchar)) OR ((n1.n_name = 'JAPAN'::bpchar) AND (n2.n_name = 'IRAN'::bpchar))) Rows Removed by Join Filter: 57863 Buffers: shared hit=6185835 read=179030 -> Nested Loop (cost=58604.97..2138938.03 rows=1480202 width=42) (actual time=868.247..19172.112 rows=1451085 loops=1) Buffers: shared hit=6183652 read=179030 -> Hash Join (cost=58604.40..536250.36 rows=1215593 width=30) (actual time=868.215..8740.524 rows=1197059 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=228527 read=63312 -> Seq Scan on orders (cost=0.00..408509.11 rows=15194911 width=8) (actual time=0.006..2805.540 rows=15000000 loops=1) Buffers: shared hit=228524 read=28036 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=867.695..867.695 rows=119858 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8282kB Buffers: shared hit=3 read=35276 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.041..822.705 rows=119858 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.005..579.459 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 -> 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 n2 (cost=0.00..1.38 rows=2 width=30) (actual time=0.010..0.013 rows=2 loops=1) Filter: ((n_name = 'JAPAN'::bpchar) OR (n_name = 'IRAN'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 -> Index Scan using pk_lineitem on lineitem (cost=0.56..1.27 rows=5 width=20) (actual time=0.007..0.008 rows=1 loops=1197059) Index Cond: (l_orderkey = orders.o_orderkey) Filter: ((l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Rows Removed by Filter: 3 Buffers: shared hit=5955125 read=115718 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=48.891..48.891 rows=8032 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 551kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.036..46.517 rows=8032 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=0.006..30.498 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=0.010..0.013 rows=2 loops=1) Filter: ((n_name = 'IRAN'::bpchar) OR (n_name = 'JAPAN'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.200 ms Execution time: 19881.233 ms (56 rows) COMMIT; COMMIT