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 = 'ARGENTINA' and n2.n_name = 'INDIA') or (n1.n_name = 'INDIA' and n2.n_name = 'ARGENTINA') ) 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=2023814.19..2023821.89 rows=3080 width=64) (actual time=17506.314..17506.314 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=5055522 read=482698 dirtied=186 written=370 -> HashAggregate (cost=2023589.53..2023635.73 rows=3080 width=64) (actual time=17506.239..17506.242 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=5055514 read=482698 dirtied=186 written=370 -> Hash Join (cost=62340.37..2022664.48 rows=61670 width=64) (actual time=909.819..17425.715 rows=58972 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'ARGENTINA'::bpchar) AND (n2.n_name = 'INDIA'::bpchar)) OR ((n1.n_name = 'INDIA'::bpchar) AND (n2.n_name = 'ARGENTINA'::bpchar))) Rows Removed by Join Filter: 59128 Buffers: shared hit=5055514 read=482698 dirtied=186 written=370 -> Nested Loop (cost=58604.97..2010686.91 rows=1483411 width=42) (actual time=850.502..16848.330 rows=1463576 loops=1) Buffers: shared hit=5054781 read=481248 dirtied=186 written=370 -> Hash Join (cost=58604.40..536721.38 rows=1216792 width=30) (actual time=850.393..8642.845 rows=1200916 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=122911 read=169181 dirtied=186 written=123 -> Seq Scan on orders (cost=0.00..408911.95 rows=15209895 width=8) (actual time=0.018..3348.629 rows=15015000 loops=1) Buffers: shared hit=122908 read=133905 dirtied=186 written=68 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=849.763..849.763 rows=120056 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8294kB Buffers: shared hit=3 read=35276 written=55 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.045..806.227 rows=120056 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 written=55 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.006..580.007 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 written=55 -> 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=0.012..0.018 rows=2 loops=1) Filter: ((n_name = 'INDIA'::bpchar) OR (n_name = 'ARGENTINA'::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=0.006..0.006 rows=1 loops=1200916) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4931870 read=312067 written=247 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=59.234..59.234 rows=8086 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 554kB Buffers: shared hit=730 read=1450 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.037..56.833 rows=8086 loops=1) Hash Cond: (supplier.s_nationkey = n1.n_nationkey) Buffers: shared hit=730 read=1450 -> Seq Scan on supplier (cost=0.00..3179.00 rows=100000 width=8) (actual time=0.003..41.441 rows=100000 loops=1) Buffers: shared hit=729 read=1450 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.022..0.022 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=0.009..0.016 rows=2 loops=1) Filter: ((n_name = 'ARGENTINA'::bpchar) OR (n_name = 'INDIA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.570 ms Execution time: 17506.749 ms (54 rows) COMMIT; COMMIT