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 = 'KENYA') or (n1.n_name = 'KENYA' 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=1986607.89..1986615.57 rows=3074 width=64) (actual time=19102.890..19102.890 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=5004626 read=493590 -> HashAggregate (cost=1986383.70..1986429.81 rows=3074 width=64) (actual time=19102.805..19102.813 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=5004618 read=493590 -> Hash Join (cost=62340.37..1985463.71 rows=61333 width=64) (actual time=916.113..19018.669 rows=58415 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'PERU'::bpchar) AND (n2.n_name = 'KENYA'::bpchar)) OR ((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'PERU'::bpchar))) Rows Removed by Join Filter: 58598 Buffers: shared hit=5004618 read=493590 -> Nested Loop (cost=58604.97..1973536.88 rows=1473787 width=42) (actual time=858.757..18424.020 rows=1450253 loops=1) Buffers: shared hit=5002435 read=493590 -> Hash Join (cost=58604.40..534366.29 rows=1210798 width=30) (actual time=858.674..8778.108 rows=1192090 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=209648 read=81179 -> Seq Scan on orders (cost=0.00..406897.75 rows=15134975 width=8) (actual time=0.003..3383.892 rows=15000000 loops=1) Buffers: shared hit=209644 read=45904 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=858.034..858.034 rows=119264 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8246kB Buffers: shared hit=4 read=35275 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.046..815.115 rows=119264 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=4 read=35275 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.004..590.114 rows=1500000 loops=1) Buffers: shared hit=3 read=35275 -> 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=0.017..0.020 rows=2 loops=1) Filter: ((n_name = 'KENYA'::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..1.15 rows=4 width=20) (actual time=0.007..0.007 rows=1 loops=1192090) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4792787 read=412411 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=57.275..57.275 rows=8035 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=0.037..55.036 rows=8035 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..38.483 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.017..0.017 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..0.012 rows=2 loops=1) Filter: ((n_name = 'PERU'::bpchar) OR (n_name = 'KENYA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.637 ms Execution time: 19103.324 ms (54 rows) COMMIT; COMMIT