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 = 'UNITED STATES' and n2.n_name = 'VIETNAM') or (n1.n_name = 'VIETNAM' and n2.n_name = 'UNITED STATES') ) 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=1972873.26..1972880.94 rows=3074 width=64) (actual time=21277.799..21277.799 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=5041143 read=497817 dirtied=255 written=12680 -> HashAggregate (cost=1972649.07..1972695.18 rows=3074 width=64) (actual time=21277.718..21277.731 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=5041135 read=497817 dirtied=255 written=12680 -> Hash Join (cost=62340.37..1971735.44 rows=60909 width=64) (actual time=900.333..21189.344 rows=58360 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'UNITED STATES'::bpchar) AND (n2.n_name = 'VIETNAM'::bpchar)) OR ((n1.n_name = 'VIETNAM'::bpchar) AND (n2.n_name = 'UNITED STATES'::bpchar))) Rows Removed by Join Filter: 58456 Buffers: shared hit=5041135 read=497817 dirtied=255 written=12680 -> Nested Loop (cost=58604.97..1959865.23 rows=1463601 width=42) (actual time=839.305..20546.351 rows=1462311 loops=1) Buffers: shared hit=5041129 read=495640 dirtied=255 written=12680 -> Hash Join (cost=58604.40..531065.43 rows=1202397 width=30) (actual time=839.232..10600.719 rows=1201706 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=149225 read=139829 dirtied=255 written=910 -> Seq Scan on orders (cost=0.00..404074.68 rows=15029968 width=8) (actual time=0.009..3662.493 rows=15000000 loops=1) Buffers: shared hit=149222 read=104553 dirtied=255 written=910 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=838.599..838.599 rows=120003 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8290kB Buffers: shared hit=3 read=35276 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.053..793.267 rows=120003 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=0.006..570.044 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 -> 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..0.017 rows=2 loops=1) Filter: ((n_name = 'VIETNAM'::bpchar) OR (n_name = 'UNITED STATES'::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=1201706) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4891904 read=355811 written=11770 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=59.933..59.933 rows=7991 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 548kB Buffers: shared hit=3 read=2177 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.040..57.376 rows=7991 loops=1) Hash Cond: (supplier.s_nationkey = n1.n_nationkey) Buffers: shared hit=3 read=2177 -> Seq Scan on supplier (cost=0.00..3179.00 rows=100000 width=8) (actual time=0.007..42.251 rows=100000 loops=1) Buffers: shared hit=2 read=2177 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.016..0.016 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..0.012 rows=2 loops=1) Filter: ((n_name = 'UNITED STATES'::bpchar) OR (n_name = 'VIETNAM'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.508 ms Execution time: 21278.267 ms (54 rows) COMMIT; COMMIT