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 = 'INDIA' and n2.n_name = 'MOROCCO') or (n1.n_name = 'MOROCCO' and n2.n_name = 'INDIA') ) 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=2017844.39..2017852.09 rows=3080 width=64) (actual time=25667.599..25667.599 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=5071451 read=454076 written=10945 -> HashAggregate (cost=2017619.72..2017665.92 rows=3080 width=64) (actual time=25667.494..25667.500 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=5071443 read=454076 written=10945 -> Hash Join (cost=62340.37..2016697.40 rows=61488 width=64) (actual time=1001.509..25577.422 rows=58807 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'INDIA'::bpchar) AND (n2.n_name = 'MOROCCO'::bpchar)) OR ((n1.n_name = 'MOROCCO'::bpchar) AND (n2.n_name = 'INDIA'::bpchar))) Rows Removed by Join Filter: 59103 Buffers: shared hit=5071443 read=454076 written=10945 -> Nested Loop (cost=58604.97..2004744.24 rows=1479019 width=42) (actual time=950.327..24566.080 rows=1459012 loops=1) Buffers: shared hit=5069260 read=454076 written=10945 -> Hash Join (cost=58604.40..535308.32 rows=1213195 width=30) (actual time=950.224..13266.289 rows=1198203 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=232739 read=58594 written=1042 -> Seq Scan on orders (cost=0.00..407703.43 rows=15164943 width=8) (actual time=0.009..3769.718 rows=15015000 loops=1) Buffers: shared hit=232736 read=23318 written=1027 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=949.567..949.567 rows=120049 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8293kB Buffers: shared hit=3 read=35276 written=15 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.051..903.473 rows=120049 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 written=15 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.004..663.764 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 written=15 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.031..0.031 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..0.021 rows=2 loops=1) Filter: ((n_name = 'MOROCCO'::bpchar) OR (n_name = 'INDIA'::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..0.009 rows=1 loops=1198203) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4836521 read=395482 written=9903 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=50.850..50.850 rows=8069 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=0.067..48.470 rows=8069 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=0.012..30.920 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.037..0.037 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=0.019..0.025 rows=2 loops=1) Filter: ((n_name = 'INDIA'::bpchar) OR (n_name = 'MOROCCO'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 7.170 ms Execution time: 25668.236 ms (54 rows) COMMIT; COMMIT