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 = 'CANADA') or (n1.n_name = 'CANADA' 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=2147828.24..2147835.93 rows=3076 width=64) (actual time=20360.141..20360.142 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=6118632 read=239982 dirtied=253 written=1909 -> HashAggregate (cost=2147603.90..2147650.04 rows=3076 width=64) (actual time=20360.075..20360.085 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=6118624 read=239982 dirtied=253 written=1909 -> Hash Join (cost=62340.37..2146683.24 rows=61377 width=64) (actual time=924.659..20273.116 rows=58325 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'ARGENTINA'::bpchar) AND (n2.n_name = 'CANADA'::bpchar)) OR ((n1.n_name = 'CANADA'::bpchar) AND (n2.n_name = 'ARGENTINA'::bpchar))) Rows Removed by Join Filter: 58662 Buffers: shared hit=6118624 read=239982 dirtied=253 written=1909 -> Nested Loop (cost=58604.97..2134741.46 rows=1477263 width=42) (actual time=875.364..19634.084 rows=1452623 loops=1) Buffers: shared hit=6116441 read=239982 dirtied=253 written=1909 -> Hash Join (cost=58604.40..535308.32 rows=1213195 width=30) (actual time=875.300..8780.554 rows=1195934 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=240688 read=50645 dirtied=253 written=340 -> Seq Scan on orders (cost=0.00..407703.43 rows=15164943 width=8) (actual time=0.006..2746.014 rows=15015000 loops=1) Buffers: shared hit=240685 read=15369 dirtied=253 written=337 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=874.782..874.782 rows=119690 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8271kB Buffers: shared hit=3 read=35276 written=3 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.034..829.316 rows=119690 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 written=3 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.005..585.997 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 written=3 -> 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 n2 (cost=0.00..1.38 rows=2 width=30) (actual time=0.009..0.016 rows=2 loops=1) Filter: ((n_name = 'CANADA'::bpchar) OR (n_name = 'ARGENTINA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 -> Index Scan using pk_lineitem on lineitem (cost=0.56..1.27 rows=5 width=20) (actual time=0.008..0.008 rows=1 loops=1195934) Index Cond: (l_orderkey = orders.o_orderkey) Filter: ((l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Rows Removed by Filter: 3 Buffers: shared hit=5875753 read=189337 written=1569 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=48.600..48.600 rows=8061 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 553kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.039..46.327 rows=8061 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=0.005..29.986 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.020..0.020 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..0.015 rows=2 loops=1) Filter: ((n_name = 'ARGENTINA'::bpchar) OR (n_name = 'CANADA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.207 ms Execution time: 20360.584 ms (56 rows) COMMIT; COMMIT