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 = 'GERMANY') or (n1.n_name = 'GERMANY' 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=2015820.93..2015828.60 rows=3067 width=64) (actual time=24447.481..24447.482 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=5092080 read=450530 written=880 -> HashAggregate (cost=2015597.31..2015643.31 rows=3067 width=64) (actual time=24447.392..24447.397 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=5092072 read=450530 written=880 -> Hash Join (cost=62340.37..2014678.39 rows=61261 width=64) (actual time=826.571..24347.668 rows=58890 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'JAPAN'::bpchar) AND (n2.n_name = 'GERMANY'::bpchar)) OR ((n1.n_name = 'GERMANY'::bpchar) AND (n2.n_name = 'JAPAN'::bpchar))) Rows Removed by Join Filter: 58846 Buffers: shared hit=5092072 read=450530 written=880 -> Nested Loop (cost=58604.97..2002761.05 rows=1472090 width=42) (actual time=776.566..23420.814 rows=1461292 loops=1) Buffers: shared hit=5089889 read=450530 written=880 -> Hash Join (cost=58604.40..534837.31 rows=1211997 width=30) (actual time=776.516..12317.356 rows=1202332 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=236107 read=54973 written=128 -> Seq Scan on orders (cost=0.00..407300.59 rows=15149959 width=8) (actual time=0.010..3906.842 rows=15015000 loops=1) Buffers: shared hit=206574 read=49227 written=121 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=775.795..775.795 rows=119910 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8285kB Buffers: shared hit=29533 read=5746 written=7 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.063..730.011 rows=119910 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=29533 read=5746 written=7 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.009..483.126 rows=1500000 loops=1) Buffers: shared hit=29532 read=5746 written=7 -> 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=0.016..0.020 rows=2 loops=1) Filter: ((n_name = 'GERMANY'::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..1.16 rows=5 width=20) (actual time=0.008..0.008 rows=1 loops=1202332) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4853782 read=395557 written=752 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=49.863..49.863 rows=8058 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 552kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.055..47.314 rows=8058 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..30.454 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=0.011..0.017 rows=2 loops=1) Filter: ((n_name = 'JAPAN'::bpchar) OR (n_name = 'GERMANY'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.802 ms Execution time: 24448.012 ms (54 rows) COMMIT; COMMIT