BEGIN; BEGIN EXPLAIN select o_year, sum(case when nation = 'ROMANIA' 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 = 'SMALL BURNISHED NICKEL' ) as all_nations group by o_year order by o_year; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ Sort (cost=8287878.79..8287880.61 rows=730 width=38) Sort Key: (date_part('year'::text, (orders.o_orderdate)::timestamp without time zone)) -> HashAggregate (cost=8287831.29..8287844.07 rows=730 width=38) Group Key: date_part('year'::text, (orders.o_orderdate)::timestamp without time zone) -> Remote Subquery Scan on all (datanode_1_1,datanode_2_1,datanode_3_1,datanode_4_1,datanode_5_1,datanode_6_1,datanode_7_1,datanode_8_1) (cost=674923.37..8287613.97 rows=10866 width=38) -> HashAggregate (cost=674923.37..8287613.97 rows=730 width=38) Group Key: date_part('year'::text, (orders.o_orderdate)::timestamp without time zone) -> Hash Join (cost=674923.37..8287613.97 rows=10866 width=38) Hash Cond: (supplier.s_nationkey = n2.n_nationkey) -> Hash Join (cost=674921.81..8287408.67 rows=10866 width=16) Hash Cond: (lineitem.l_suppkey = supplier.s_suppkey) -> Hash Join (cost=630623.81..8242961.26 rows=10866 width=16) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Nested Loop (cost=4100.28..7615156.40 rows=187627 width=20) -> Remote Subquery Scan on all (datanode_1_1,datanode_2_1,datanode_3_1,datanode_4_1,datanode_5_1,datanode_6_1,datanode_7_1,datanode_8_1) (cost=4200.08..3441589.38 rows=618450 width=16) Distribute results by H: l_orderkey -> Nested Loop (cost=4100.08..3428501.93 rows=618450 width=16) -> Bitmap Heap Scan on part (cost=4099.88..280921.47 rows=133122 width=4) Recheck Cond: ((p_type)::text = 'SMALL BURNISHED NICKEL'::text) -> Bitmap Index Scan on part_p_type_p_partkey_idx (cost=0.00..4066.60 rows=133122 width=0) Index Cond: ((p_type)::text = 'SMALL BURNISHED NICKEL'::text) -> Materialize (cost=100.20..123.73 rows=5 width=20) -> Remote Subquery Scan on all (datanode_1_1,datanode_2_1,datanode_3_1,datanode_4_1,datanode_5_1,datanode_6_1,datanode_7_1,datanode_8_1) (cost=100.20..123.72 rows=5 width=20) Distribute results by H: l_partkey -> Index Scan using lineitem_l_partkey_l_quantity_l_shipmode_idx on lineitem (cost=0.20..23.59 rows=5 width=20) Index Cond: (l_partkey = part.p_partkey) -> Index Scan using pk_orders on orders (cost=0.20..6.76 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=589023.53..589023.53 rows=3000000 width=4) -> Hash Join (cost=2.53..589023.53 rows=3000000 width=4) Hash Cond: (customer.c_nationkey = n1.n_nationkey) -> Seq Scan on customer (cost=0.00..502771.00 rows=15000000 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=31798.00..31798.00 rows=1000000 width=8) -> Seq Scan on supplier (cost=0.00..31798.00 rows=1000000 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) (44 rows) COMMIT; COMMIT