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 = 'ROMANIA' and n2.n_name = 'ARGENTINA') or (n1.n_name = 'ARGENTINA' and n2.n_name = 'ROMANIA') ) 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=2009881.74..2009889.44 rows=3080 width=64) (actual time=21063.160..21063.161 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=5192424 read=336742 dirtied=29 written=1652 -> HashAggregate (cost=2009657.08..2009703.28 rows=3080 width=64) (actual time=21063.068..21063.075 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=5192416 read=336742 dirtied=29 written=1652 -> Hash Join (cost=62340.37..2008738.42 rows=61244 width=64) (actual time=1048.148..20978.719 rows=59102 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'ROMANIA'::bpchar) AND (n2.n_name = 'ARGENTINA'::bpchar)) OR ((n1.n_name = 'ARGENTINA'::bpchar) AND (n2.n_name = 'ROMANIA'::bpchar))) Rows Removed by Join Filter: 58327 Buffers: shared hit=5192416 read=336742 dirtied=29 written=1652 -> Nested Loop (cost=58604.97..1996817.79 rows=1473164 width=42) (actual time=995.072..20335.779 rows=1462689 loops=1) Buffers: shared hit=5190233 read=336742 dirtied=29 written=1652 -> Hash Join (cost=58604.40..533422.40 rows=1208396 width=30) (actual time=995.013..9838.574 rows=1199220 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=192470 read=97850 written=1566 -> Seq Scan on orders (cost=0.00..406090.48 rows=15104948 width=8) (actual time=0.007..3838.221 rows=15015000 loops=1) Buffers: shared hit=190273 read=64768 written=54 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=994.068..994.068 rows=119889 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8283kB Buffers: shared hit=2197 read=33082 written=1512 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.064..947.801 rows=119889 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=2197 read=33082 written=1512 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.012..710.029 rows=1500000 loops=1) Buffers: shared hit=2196 read=33082 written=1512 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.036..0.036 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..0.023 rows=2 loops=1) Filter: ((n_name = 'ARGENTINA'::bpchar) OR (n_name = 'ROMANIA'::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=0.007..0.008 rows=1 loops=1199220) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4997763 read=238892 dirtied=29 written=86 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=51.144..51.144 rows=8036 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 551kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.050..48.636 rows=8036 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..31.663 rows=100000 loops=1) Buffers: shared hit=2179 -> 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 n1 (cost=0.00..1.38 rows=2 width=30) (actual time=0.010..0.017 rows=2 loops=1) Filter: ((n_name = 'ROMANIA'::bpchar) OR (n_name = 'ARGENTINA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.359 ms Execution time: 21063.712 ms (54 rows) COMMIT; COMMIT