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 = 'CHINA' and n2.n_name = 'SAUDI ARABIA') or (n1.n_name = 'SAUDI ARABIA' and n2.n_name = 'CHINA') ) 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=2141510.96..2141518.65 rows=3076 width=64) (actual time=24511.135..24511.135 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=5723159 read=649794 written=384 -> HashAggregate (cost=2141286.61..2141332.75 rows=3076 width=64) (actual time=24511.062..24511.071 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=5723151 read=649794 written=384 -> Hash Join (cost=62340.37..2140368.69 rows=61195 width=64) (actual time=940.413..24418.709 rows=58504 loops=1) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) Join Filter: (((n1.n_name = 'CHINA'::bpchar) AND (n2.n_name = 'SAUDI ARABIA'::bpchar)) OR ((n1.n_name = 'SAUDI ARABIA'::bpchar) AND (n2.n_name = 'CHINA'::bpchar))) Rows Removed by Join Filter: 58084 Buffers: shared hit=5723151 read=649794 written=384 -> Nested Loop (cost=58604.97..2128451.30 rows=1472872 width=42) (actual time=890.717..23682.532 rows=1457825 loops=1) Buffers: shared hit=5720968 read=649794 written=384 -> Hash Join (cost=58604.40..533895.27 rows=1209599 width=30) (actual time=890.604..9786.924 rows=1199031 loops=1) Hash Cond: (orders.o_custkey = customer.c_custkey) Buffers: shared hit=207413 read=83161 written=25 -> Seq Scan on orders (cost=0.00..406494.91 rows=15119991 width=8) (actual time=0.007..3023.080 rows=15015000 loops=1) Buffers: shared hit=207410 read=47885 written=11 -> Hash (cost=57104.40..57104.40 rows=120000 width=30) (actual time=890.099..890.099 rows=119868 loops=1) Buckets: 131072 Batches: 1 Memory Usage: 8282kB Buffers: shared hit=3 read=35276 written=14 -> Hash Join (cost=1.40..57104.40 rows=120000 width=30) (actual time=0.035..844.050 rows=119868 loops=1) Hash Cond: (customer.c_nationkey = n2.n_nationkey) Buffers: shared hit=3 read=35276 written=14 -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=8) (actual time=0.005..595.055 rows=1500000 loops=1) Buffers: shared hit=2 read=35276 written=14 -> Hash (cost=1.38..1.38 rows=2 width=30) (actual time=0.018..0.018 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=0.013..0.015 rows=2 loops=1) Filter: ((n_name = 'SAUDI ARABIA'::bpchar) OR (n_name = 'CHINA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 -> Index Scan using pk_lineitem on lineitem (cost=0.56..1.27 rows=5 width=20) (actual time=0.010..0.011 rows=1 loops=1199031) Index Cond: (l_orderkey = orders.o_orderkey) Filter: ((l_shipdate >= '1995-01-01'::date) AND (l_shipdate <= '1996-12-31'::date)) Rows Removed by Filter: 3 Buffers: shared hit=5513555 read=566633 written=359 -> Hash (cost=3635.40..3635.40 rows=8000 width=30) (actual time=48.489..48.489 rows=7998 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=0.036..46.193 rows=7998 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=0.006..30.139 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=0.012..0.015 rows=2 loops=1) Filter: ((n_name = 'CHINA'::bpchar) OR (n_name = 'SAUDI ARABIA'::bpchar)) Rows Removed by Filter: 23 Buffers: shared hit=1 Planning time: 5.796 ms Execution time: 24511.559 ms (56 rows) COMMIT; COMMIT