EXPLAIN select o_year, sum(case when nation = 'FRANCE' 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 = 'EUROPE' and s_nationkey = n2.n_nationkey and o_orderdate between date '1995-01-01' and date '1996-12-31' and p_type = 'STANDARD BRUSHED TIN' ) as all_nations group by o_year order by o_year;
                                                                 QUERY PLAN                                                                  
---------------------------------------------------------------------------------------------------------------------------------------------
 Sort  (cost=2008798.68..2008800.52 rows=736 width=38)
   Sort Key: (date_part('year'::text, (orders.o_orderdate)::timestamp without time zone))
   ->  HashAggregate  (cost=2008750.75..2008763.63 rows=736 width=38)
         Group Key: date_part('year'::text, (orders.o_orderdate)::timestamp without time zone)
         ->  Hash Join  (cost=567393.05..2008295.11 rows=22782 width=38)
               Hash Cond: (supplier.s_nationkey = n2.n_nationkey)
               ->  Hash Join  (cost=567391.49..2007866.39 rows=22782 width=16)
                     Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey)
                     ->  Hash Join  (cost=562961.49..2002976.66 rows=23191 width=16)
                           Hash Cond: (orders.o_custkey = customer.c_custkey)
                           ->  Hash Join  (cost=499125.83..1935942.26 rows=115954 width=20)
                                 Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
                                 ->  Nested Loop  (cost=0.56..1406239.32 rows=379216 width=16)
                                       ->  Seq Scan on part  (cost=0.00..65626.29 rows=13333 width=4)
                                             Filter: ((p_type)::text = 'STANDARD BRUSHED TIN'::text)
                                       ->  Index Scan using i_l_partkey on lineitem  (cost=0.56..100.27 rows=28 width=20)
                                             Index Cond: (l_partkey = part.p_partkey)
                                 ->  Hash  (cost=419397.20..419397.20 rows=4586565 width=12)
                                       ->  Bitmap Heap Scan on orders  (cost=97320.73..419397.20 rows=4586565 width=12)
                                             Recheck Cond: ((o_orderdate >= '1995-01-01'::date) AND (o_orderdate <= '1996-12-31'::date))
                                             ->  Bitmap Index Scan on i_o_orderdate  (cost=0.00..96174.08 rows=4586565 width=0)
                                                   Index Cond: ((o_orderdate >= '1995-01-01'::date) AND (o_orderdate <= '1996-12-31'::date))
                           ->  Hash  (cost=58913.37..58913.37 rows=300023 width=4)
                                 ->  Hash Join  (cost=2.53..58913.37 rows=300023 width=4)
                                       Hash Cond: (customer.c_nationkey = n1.n_nationkey)
                                       ->  Seq Scan on customer  (cost=0.00..50285.17 rows=1500117 width=8)
                                       ->  Hash  (cost=2.47..2.47 rows=5 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 = 'EUROPE'::bpchar)
                     ->  Hash  (cost=3180.00..3180.00 rows=100000 width=8)
                           ->  Seq Scan on supplier  (cost=0.00..3180.00 rows=100000 width=8)
               ->  Hash  (cost=1.25..1.25 rows=25 width=30)
                     ->  Seq Scan on nation n2  (cost=0.00..1.25 rows=25 width=30)
(37 rows)