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 = 'EGYPT' and n2.n_name = 'UNITED STATES') or (n1.n_name = 'UNITED STATES' and n2.n_name = 'EGYPT') ) 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=1980696.60..1980704.27 rows=3067 width=64) (actual time=24217.990..24217.991 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=5115622 read=426497 dirtied=1 written=6209 -> HashAggregate (cost=1980472.98..1980518.98 rows=3067 width=64) (actual time=24217.909..24217.913 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=5115614 read=426497 dirtied=1 written=6209 -> Hash Join (cost=62340.37..1979557.69 rows=61019 width=64) (actual time=832.687..24126.217 rows=58636 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'EGYPT'::bpchar) AND (n2.n_name = 'UNITED STATES'::bpchar)) OR ((n1.n_name = 'UNITED STATES'::bpchar) AND (n2.n_name = 'EGYPT'::bpchar))) Rows Removed by Join Filter: 58132 Buffers: shared hit=5115614 read=426497 dirtied=1 written=6209 -> Nested Loop (cost=58604.97..1967672.65 rows=1466279 width=42) (actual time=782.711..23235.488 rows=1463154 loops=1) Buffers: shared hit=5113431 read=426497 dirtied=1 written=6209 -> Hash Join (cost=58604.40..532949.50 rows=1207192 width=30) (actual time=782.667..12203.882 rows=1202225 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=227071 read=62995 dirtied=1 written=1524 -> Seq Scan on orders (cost=0.00..405686.04 rows=15089904 width=8) (actual time=0.009..3957.397 rows=15015000 loops=1) Buffers: shared hit=191794 read=62993 dirtied=1 written=1524 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=782.021..782.021 rows=119975 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8289kB Buffers: shared hit=35277 read=2 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.054..740.136 rows=119975 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=35277 read=2 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.011..493.102 rows=1500000 loops=1) Buffers: shared hit=35276 read=2 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.025..0.025 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..0.021 rows=2 loops=1) Filter: ((n_name = 'UNITED STATES'::bpchar) OR (n_name = 'EGYPT'::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=0.008..0.008 rows=1 loops=1202225) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=4886360 read=363502 written=4685 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=48.711..48.711 rows=7985 loops=1) Buckets: 8192 Batches: 1 Memory Usage: 548kB Buffers: shared hit=2180 -> Hash Join (cost=1.40..3635.40 rows=8000 width=30) (actual time=0.041..46.450 rows=7985 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..30.073 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.019..0.019 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..0.015 rows=2 loops=1) Filter: ((n_name = 'EGYPT'::bpchar) OR (n_name = 'UNITED STATES'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.719 ms Execution time: 24218.554 ms (54 rows) COMMIT; COMMIT