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 = 'PERU') or (n1.n_name = 'PERU' 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=2009846.83..2009854.50 rows=3068 width=64) (actual time=24645.382..24645.383 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=5121794 read=389072 written=203 -> HashAggregate (cost=2009623.13..2009669.15 rows=3068 width=64) (actual time=24645.285..24645.298 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=5121786 read=389072 written=203 -> Hash Join (cost=62340.37..2008707.32 rows=61054 width=64) (actual time=810.380..24553.959 rows=58552 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'ARGENTINA'::bpchar) AND (n2.n_name = 'PERU'::bpchar)) OR ((n1.n_name = 'PERU'::bpchar) AND (n2.n_name = 'ARGENTINA'::bpchar))) Rows Removed by Join Filter: 58261 Buffers: shared hit=5121786 read=389072 written=203 -> Nested Loop (cost=58604.97..1996817.79 rows=1467076 width=42) (actual time=762.019..23587.958 rows=1454424 loops=1) Buffers: shared hit=5119603 read=389072 written=203 -> Hash Join (cost=58604.40..533422.40 rows=1208396 width=30) (actual time=761.922..12790.219 rows=1195053 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=266321 read=23999 written=16 -> Seq Scan on orders (cost=0.00..406090.48 rows=15104948 width=8) (actual time=0.011..3798.744 rows=15015000 loops=1) Buffers: shared hit=231056 read=23985 written=16 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=761.239..761.239 rows=119629 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8268kB Buffers: shared hit=35265 read=14 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.051..718.015 rows=119629 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=35265 read=14 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.010..474.471 rows=1500000 loops=1) Buffers: shared hit=35264 read=14 -> 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 = 'PERU'::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=0.008..0.008 rows=1 loops=1195053) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4853282 read=365073 written=187 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=47.836..47.836 rows=7998 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=0.040..45.436 rows=7998 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..29.112 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=0.007..0.013 rows=2 loops=1) Filter: ((n_name = 'ARGENTINA'::bpchar) OR (n_name = 'PERU'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.913 ms Execution time: 24646.030 ms (54 rows) COMMIT; COMMIT