BEGIN; BEGIN EXPLAIN select o_year, sum(case when nation = 'GERMANY' 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 = 'MEDIUM BRUSHED NICKEL' ) as all_nations group by o_year order by o_year; QUERY PLAN ----------------------------------------------------------------------------------------------------------------------------------------------------------- Sort (cost=1768157.37..1768159.20 rows=732 width=38) Sort Key: (date_part('year'::text, (orders.o_orderdate)::timestamp without time zone)) -> HashAggregate (cost=1768109.74..1768122.55 rows=732 width=38) Group Key: date_part('year'::text, (orders.o_orderdate)::timestamp without time zone) -> Hash Join (cost=39456.04..1767609.92 rows=24991 width=38) Hash Cond: (supplier.s_nationkey = n2.n_nationkey) -> Nested Loop (cost=39454.48..1767139.77 rows=24991 width=16) -> Hash Join (cost=39454.19..1759073.51 rows=24999 width=16) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Nested Loop (cost=423.50..1719324.09 rows=124997 width=20) -> Nested Loop (cost=423.07..1518121.73 rows=410924 width=16) -> Bitmap Heap Scan on part (cost=422.50..28548.84 rows=13687 width=4) Recheck Cond: ((p_type)::text = 'MEDIUM BRUSHED NICKEL'::text) -> Bitmap Index Scan on part_p_type_p_partkey_idx (cost=0.00..419.08 rows=13687 width=0) Index Cond: ((p_type)::text = 'MEDIUM BRUSHED NICKEL'::text) -> Index Scan using lineitem_l_partkey_l_quantity_l_shipmode_idx on lineitem (cost=0.56..108.52 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 = 'EUROPE'::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: 8.642 ms (37 rows) COMMIT; COMMIT