BEGIN; BEGIN EXPLAIN select o_year, sum(case when nation = 'MOROCCO' then volume else 0 end) / sum(volume) as mkt_share from ( select extract(year from o_orderdate) as o_year, l_extendedprice * (1 - l_discount) as volume, n2.n_name as nation from part, supplier, lineitem, orders, customer, nation n1, nation n2, region where p_partkey = l_partkey and s_suppkey = l_suppkey and l_orderkey = o_orderkey and o_custkey = c_custkey and c_nationkey = n1.n_nationkey and n1.n_regionkey = r_regionkey and r_name = 'AFRICA' and s_nationkey = n2.n_nationkey and o_orderdate between date '1995-01-01' and date '1996-12-31' and p_type = 'PROMO PLATED BRASS' ) as all_nations group by o_year order by o_year; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=1755791.55..1755793.38 rows=731 width=38) Sort Key: (date_part('year'::text, (orders.o_orderdate)::timestamp without time zone)) -> HashAggregate (cost=1755743.99..1755756.78 rows=731 width=38) Group Key: date_part('year'::text, (orders.o_orderdate)::timestamp without time zone) -> Hash Join (cost=39455.16..1755249.09 rows=24745 width=38) Hash Cond: (supplier.s_nationkey = n2.n_nationkey) -> Nested Loop (cost=39453.60..1754783.56 rows=24745 width=16) -> Hash Join (cost=39453.30..1746799.25 rows=24745 width=16) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Nested Loop (cost=422.62..1707057.14 rows=123725 width=20) -> Nested Loop (cost=422.18..1507532.20 rows=407498 width=16) -> Bitmap Heap Scan on part (cost=421.62..28413.37 rows=13573 width=4) Recheck Cond: ((p_type)::text = 'PROMO PLATED BRASS'::text) -> Bitmap Index Scan on part_p_type_p_partkey_idx (cost=0.00..418.23 rows=13573 width=0) Index Cond: ((p_type)::text = 'PROMO PLATED BRASS'::text) -> Index Scan using lineitem_l_partkey_l_quantity_l_shipmode_idx on lineitem (cost=0.56..108.67 rows=31 width=20) Index Cond: (l_partkey = part.p_partkey) -> Index Scan using pk_orders on orders (cost=0.43..0.48 rows=1 width=12) Index Cond: (o_orderkey = lineitem.l_orderkey) Filter: ((o_orderdate >= '1995-01-01'::date) AND (o_orderdate <= '1996-12-31'::date)) -> Hash (cost=35280.69..35280.69 rows=300000 width=4) -> Nested Loop (cost=906.18..35280.69 rows=300000 width=4) -> Hash Join (cost=1.07..2.47 rows=5 width=4) Hash Cond: (n1.n_regionkey = region.r_regionkey) -> Seq Scan on nation n1 (cost=0.00..1.25 rows=25 width=8) -> Hash (cost=1.06..1.06 rows=1 width=4) -> Seq Scan on region (cost=0.00..1.06 rows=1 width=4) Filter: (r_name = 'AFRICA'::bpchar) -> Bitmap Heap Scan on customer (cost=905.11..6455.64 rows=60000 width=8) Recheck Cond: (c_nationkey = n1.n_nationkey) -> Bitmap Index Scan on customer_c_nationkey_c_custkey_idx (cost=0.00..890.11 rows=60000 width=0) Index Cond: (c_nationkey = n1.n_nationkey) -> Index Scan using pk_supplier on supplier (cost=0.29..0.31 rows=1 width=8) Index Cond: (s_suppkey = lineitem.l_suppkey) -> Hash (cost=1.25..1.25 rows=25 width=30) -> Seq Scan on nation n2 (cost=0.00..1.25 rows=25 width=30) Planning time: 5.889 ms (37 rows) COMMIT; COMMIT