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 = 'KENYA' and n2.n_name = 'FRANCE') or (n1.n_name = 'FRANCE' and n2.n_name = 'KENYA') ) 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=2021789.53..2021797.20 rows=3068 width=64) (actual time=24871.928..24871.929 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=5292506 read=252546 written=1819 -> HashAggregate (cost=2021565.83..2021611.85 rows=3068 width=64) (actual time=24871.820..24871.831 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=5292498 read=252546 written=1819 -> Hash Join (cost=62340.37..2020644.56 rows=61418 width=64) (actual time=840.371..24782.592 rows=58478 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'KENYA'::bpchar) AND (n2.n_name = 'FRANCE'::bpchar)) OR ((n1.n_name = 'FRANCE'::bpchar) AND (n2.n_name = 'KENYA'::bpchar))) Rows Removed by Join Filter: 58532 Buffers: shared hit=5292498 read=252546 written=1819 -> Nested Loop (cost=58604.97..2008706.34 rows=1475836 width=42) (actual time=785.735..23770.901 rows=1460046 loops=1) Buffers: shared hit=5290315 read=252546 written=1819 -> Hash Join (cost=58604.40..536250.36 rows=1215593 width=30) (actual time=785.614..13395.119 rows=1202693 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=237187 read=54652 written=182 -> Seq Scan on orders (cost=0.00..408509.11 rows=15194911 width=8) (actual time=0.013..3979.178 rows=15015000 loops=1) Buffers: shared hit=201911 read=54649 written=182 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=784.993..784.993 rows=119792 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8278kB Buffers: shared hit=35276 read=3 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.064..738.642 rows=119792 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=35276 read=3 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.012..487.368 rows=1500000 loops=1) Buffers: shared hit=35275 read=3 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.029..0.029 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=0.018..0.024 rows=2 loops=1) Filter: ((n_name = 'FRANCE'::bpchar) OR (n_name = 'KENYA'::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=0.007..0.008 rows=1 loops=1202693) Index Cond: ((l_orderkey = orders.o_orderkey) AND (l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Buffers: shared hit=5053128 read=197894 written=1637 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=54.254..54.254 rows=8005 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=0.048..51.617 rows=8005 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=0.010..34.663 rows=100000 loops=1) Buffers: shared hit=2179 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.021..0.021 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=0.011..0.017 rows=2 loops=1) Filter: ((n_name = 'KENYA'::bpchar) OR (n_name = 'FRANCE'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 6.327 ms Execution time: 24872.545 ms (54 rows) COMMIT; COMMIT