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 = 'BRAZIL' and n2.n_name = 'KENYA') or (n1.n_name = 'KENYA' and n2.n_name = 'BRAZIL') ) 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=1986547.64..1986555.28 rows=3056 width=64) (actual time=25129.151..25129.151 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=5002005 read=523110 dirtied=134 written=7773 -> HashAggregate (cost=1986324.90..1986370.74 rows=3056 width=64) (actual time=25129.061..25129.071 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=5001997 read=523110 dirtied=134 written=7773 -> Hash Join (cost=62340.37..1985410.84 rows=60937 width=64) (actual time=786.303..25036.610 rows=58092 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'BRAZIL'::bpchar) AND (n2.n_name = 'KENYA'::bpchar)) OR ((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'BRAZIL'::bpchar))) Rows Removed by Join Filter: 58884 Buffers: shared hit=5001997 read=523110 dirtied=134 written=7773 -> Nested Loop (cost=58604.97..1973536.88 rows=1464276 width=42) (actual time=735.970..24008.631 rows=1458186 loops=1) Buffers: shared hit=4999814 read=523110 dirtied=134 written=7773 -> Hash Join (cost=58604.40..534366.29 rows=1210798 width=30) (actual time=735.911..13428.247 rows=1198238 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=181666 read=109161 dirtied=134 written=1873 -> Seq Scan on orders (cost=0.00..406897.75 rows=15134975 width=8) (actual time=0.023..3824.070 rows=15000000 loops=1) Buffers: shared hit=151474 read=104074 dirtied=134 written=1862 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=735.206..735.206 rows=119428 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8255kB Buffers: shared hit=30192 read=5087 written=11 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.064..692.674 rows=119428 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=30192 read=5087 written=11 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.010..456.595 rows=1500000 loops=1) Buffers: shared hit=30191 read=5087 written=11 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.034..0.034 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..0.022 rows=2 loops=1) Filter: ((n_name = 'KENYA'::bpchar) OR (n_name = 'BRAZIL'::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..0.008 rows=1 loops=1198238) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4818148 read=413949 written=5900 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=49.866..49.866 rows=8039 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=0.041..47.353 rows=8039 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..31.162 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..0.016 rows=2 loops=1) Filter: ((n_name = 'BRAZIL'::bpchar) OR (n_name = 'KENYA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.097 ms Execution time: 25129.737 ms (54 rows) COMMIT; COMMIT