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 = 'KENYA' and n2.n_name = 'INDONESIA') or (n1.n_name = 'INDONESIA' and n2.n_name = 'KENYA') ) 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=2008009.70..2008017.37 rows=3067 width=64) (actual time=27923.356..27923.357 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=5027847 read=505607 dirtied=253 written=4480 -> HashAggregate (cost=2007786.08..2007832.08 rows=3067 width=64) (actual time=27923.263..27923.270 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=5027839 read=505607 dirtied=253 written=4480 -> Hash Join (cost=62340.37..2006870.51 rows=61038 width=64) (actual time=888.090..27818.542 rows=58332 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'INDONESIA'::bpchar)) OR ((n1.n_name = 'INDONESIA'::bpchar) AND (n2.n_name = 'KENYA'::bpchar))) Rows Removed by Join Filter: 58184 Buffers: shared hit=5027839 read=505607 dirtied=253 written=4480 -> Nested Loop (cost=58604.97..1994982.95 rows=1466733 width=42) (actual time=837.854..26696.547 rows=1458151 loops=1) Buffers: shared hit=5025656 read=505607 dirtied=253 written=4480 -> Hash Join (cost=58604.40..532949.50 rows=1207192 width=30) (actual time=837.789..14908.211 rows=1200458 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=167049 read=123017 dirtied=253 written=874 -> Seq Scan on orders (cost=0.00..405686.04 rows=15089904 width=8) (actual time=0.009..4286.294 rows=15000000 loops=1) Buffers: shared hit=131827 read=122960 dirtied=253 written=872 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=837.122..837.122 rows=119712 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8273kB Buffers: shared hit=35222 read=57 written=2 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.084..787.582 rows=119712 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=35222 read=57 written=2 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.013..509.856 rows=1500000 loops=1) Buffers: shared hit=35221 read=57 written=2 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.027..0.027 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=0.018..0.023 rows=2 loops=1) Filter: ((n_name = 'INDONESIA'::bpchar) OR (n_name = 'KENYA'::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..0.009 rows=1 loops=1200458) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4858607 read=382590 written=3606 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=49.692..49.692 rows=8018 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=0.042..47.347 rows=8018 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..30.905 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=0.011..0.014 rows=2 loops=1) Filter: ((n_name = 'KENYA'::bpchar) OR (n_name = 'INDONESIA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.822 ms Execution time: 27924.025 ms (54 rows) COMMIT; COMMIT