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 = 'GERMANY' and n2.n_name = 'KENYA') or (n1.n_name = 'KENYA' and n2.n_name = 'GERMANY') ) 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=2019831.76..2019839.46 rows=3080 width=64) (actual time=20861.329..20861.329 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=5054133 read=479800 written=394 -> HashAggregate (cost=2019607.09..2019653.29 rows=3080 width=64) (actual time=20861.241..20861.249 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=5054125 read=479800 written=394 -> Hash Join (cost=62340.37..2018683.87 rows=61548 width=64) (actual time=908.070..20773.123 rows=59325 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'GERMANY'::bpchar) AND (n2.n_name = 'KENYA'::bpchar)) OR ((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'GERMANY'::bpchar))) Rows Removed by Join Filter: 59438 Buffers: shared hit=5054125 read=479800 written=394 -> Nested Loop (cost=58604.97..2006722.57 rows=1480485 width=42) (actual time=858.387..20120.444 rows=1461934 loops=1) Buffers: shared hit=5051942 read=479800 written=394 -> Hash Join (cost=58604.40..535779.34 rows=1214394 width=30) (actual time=858.347..9408.195 rows=1200151 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=241398 read=50188 written=47 -> Seq Scan on orders (cost=0.00..408106.27 rows=15179927 width=8) (actual time=0.010..3556.964 rows=15015000 loops=1) Buffers: shared hit=221674 read=34633 written=38 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=857.519..857.519 rows=119629 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8268kB Buffers: shared hit=19724 read=15555 written=9 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.091..812.547 rows=119629 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=19724 read=15555 written=9 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.011..570.540 rows=1500000 loops=1) Buffers: shared hit=19723 read=15555 written=9 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.028..0.028 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..0.019 rows=2 loops=1) Filter: ((n_name = 'KENYA'::bpchar) OR (n_name = 'GERMANY'::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=1200151) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4810544 read=429612 written=347 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=49.242..49.242 rows=8093 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 555kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.044..46.812 rows=8093 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..30.013 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=0.008..0.013 rows=2 loops=1) Filter: ((n_name = 'GERMANY'::bpchar) OR (n_name = 'KENYA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.321 ms Execution time: 20861.785 ms (54 rows) COMMIT; COMMIT