BEGIN;
BEGIN
EXPLAIN
select
	c_custkey,
	c_name,
	sum(l_extendedprice * (1 - l_discount)) as revenue,
	c_acctbal,
	n_name,
	c_address,
	c_phone,
	c_comment
from
	customer,
	orders,
	lineitem,
	nation
where
	c_custkey = o_custkey
	and l_orderkey = o_orderkey
	and o_orderdate >= date '1994-12-01'
	and o_orderdate < cast(date '1994-12-01' + interval '3 month' as date)
	and l_returnflag = 'R'
	and c_nationkey = n_nationkey
group by
	c_custkey,
	c_name,
	c_acctbal,
	c_phone,
	n_name,
	c_address,
	c_comment
order by
	revenue desc
LIMIT 20;
                                                                        QUERY PLAN                                                                         
-----------------------------------------------------------------------------------------------------------------------------------------------------------
 Limit  (cost=1146006.96..1146007.01 rows=20 width=176)
   ->  Sort  (cost=1146006.96..1147395.52 rows=555424 width=176)
         Sort Key: (sum((lineitem.l_extendedprice * (1::double precision - lineitem.l_discount))))
         ->  HashAggregate  (cost=1125673.08..1131227.32 rows=555424 width=176)
               Group Key: customer.c_custkey, customer.c_name, customer.c_acctbal, customer.c_phone, nation.n_name, customer.c_address, customer.c_comment
               ->  Hash Join  (cost=349984.18..1111787.48 rows=555424 width=176)
                     Hash Cond: (customer.c_nationkey = nation.n_nationkey)
                     ->  Hash Join  (cost=349982.61..1104148.84 rows=555424 width=154)
                           Hash Cond: (orders.o_custkey = customer.c_custkey)
                           ->  Hash Join  (cost=280954.61..1026789.48 rows=555424 width=12)
                                 Hash Cond: (lineitem.l_orderkey = orders.o_orderkey)
                                 ->  Index Scan using lineitem_l_orderkey_idx_l_returnflag on lineitem  (cost=0.43..684749.54 rows=14808406 width=12)
                                 ->  Hash  (cost=273914.53..273914.53 rows=563172 width=8)
                                       ->  Bitmap Heap Scan on orders  (cost=11944.95..273914.53 rows=563172 width=8)
                                             Recheck Cond: ((o_orderdate >= '1994-12-01'::date) AND (o_orderdate < '1995-03-01'::date))
                                             ->  Bitmap Index Scan on orders_o_orderdate_o_orderkey_idx  (cost=0.00..11804.16 rows=563172 width=0)
                                                   Index Cond: ((o_orderdate >= '1994-12-01'::date) AND (o_orderdate < '1995-03-01'::date))
                           ->  Hash  (cost=50278.00..50278.00 rows=1500000 width=146)
                                 ->  Seq Scan on customer  (cost=0.00..50278.00 rows=1500000 width=146)
                     ->  Hash  (cost=1.25..1.25 rows=25 width=30)
                           ->  Seq Scan on nation  (cost=0.00..1.25 rows=25 width=30)
 Planning time: 3.704 ms
(22 rows)

COMMIT;
COMMIT