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 = 'PERU' and n2.n_name = 'UNITED STATES') or (n1.n_name = 'UNITED STATES' and n2.n_name = 'PERU') ) 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=2015852.06..2015859.76 rows=3080 width=64) (actual time=20450.484..20450.485 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=5042430 read=480688 dirtied=253 written=917 -> HashAggregate (cost=2015627.40..2015673.60 rows=3080 width=64) (actual time=20450.399..20450.405 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=5042422 read=480688 dirtied=253 written=917 -> Hash Join (cost=62340.37..2014706.01 rows=61426 width=64) (actual time=992.827..20364.895 rows=58237 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'PERU'::bpchar) AND (n2.n_name = 'UNITED STATES'::bpchar)) OR ((n1.n_name = 'UNITED STATES'::bpchar) AND (n2.n_name = 'PERU'::bpchar))) Rows Removed by Join Filter: 58216 Buffers: shared hit=5042422 read=480688 dirtied=253 written=917 -> Nested Loop (cost=58604.97..2002761.05 rows=1477544 width=42) (actual time=941.645..19735.666 rows=1456423 loops=1) Buffers: shared hit=5040239 read=480688 dirtied=253 written=917 -> Hash Join (cost=58604.40..534837.31 rows=1211997 width=30) (actual time=941.607..9363.661 rows=1197644 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=199228 read=91852 dirtied=253 written=124 -> Seq Scan on orders (cost=0.00..407300.59 rows=15149959 width=8) (actual time=0.009..3540.621 rows=15015000 loops=1) Buffers: shared hit=199225 read=56576 dirtied=253 written=104 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=940.957..940.957 rows=119794 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8278kB Buffers: shared hit=3 read=35276 written=20 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.065..895.002 rows=119794 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 written=20 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.021..655.158 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 written=20 -> 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=0.015..0.018 rows=2 loops=1) Filter: ((n_name = 'UNITED STATES'::bpchar) OR (n_name = 'PERU'::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=1197644) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4841011 read=388836 written=793 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=50.581..50.581 rows=7995 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 549kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.043..48.257 rows=7995 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=0.009..30.799 rows=100000 loops=1) Buffers: shared hit=2179 -> 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=0.011..0.014 rows=2 loops=1) Filter: ((n_name = 'PERU'::bpchar) OR (n_name = 'UNITED STATES'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.899 ms Execution time: 20450.970 ms (54 rows) COMMIT; COMMIT