BEGIN;
BEGIN
EXPLAIN
select
	cntrycode,
	count(*) as numcust,
	sum(c_acctbal) as totacctbal
from
	(
		select
			substr(c_phone, 1, 2) as cntrycode,
			c_acctbal
		from
			customer
		where
			substr(c_phone, 1, 2) in
				('12', '17', '21', '20', '15', '26', '10')
			and c_acctbal > (
				select
					avg(c_acctbal)
				from
					customer
				where
					c_acctbal > 0.00
					and substr(c_phone, 1, 2) in
						('12', '17', '21', '20', '15', '26', '10')
			)
			and not exists (
				select
					*
				from
					orders
				where
					o_custkey = c_custkey
			)
	) as vip
group by
	cntrycode
order by
	cntrycode;
                                                                                                         QUERY PLAN                                                                                                          
-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 GroupAggregate  (cost=6882905.85..7810973.37 rows=1 width=20)
   Group Key: substr((customer.c_phone)::text, 1, 2)
   InitPlan 1 (returns $0)
     ->  Remote Subquery Scan on all (datanode_8_1)  (cost=385361.80..385361.81 rows=1 width=4)
           ->  Aggregate  (cost=385361.80..385361.81 rows=1 width=4)
                 ->  Bitmap Heap Scan on customer customer_1  (cost=124.23..384168.73 rows=477227 width=4)
                       Recheck Cond: ((substr((c_phone)::text, 1, 2) = ANY ('{12,17,21,20,15,26,10}'::text[])) AND (c_acctbal > '0'::double precision))
                       ->  Bitmap Index Scan on customer_c_phone_idx_c_acctbal  (cost=0.00..4.93 rows=477227 width=0)
                             Index Cond: (substr((c_phone)::text, 1, 2) = ANY ('{12,17,21,20,15,26,10}'::text[]))
   ->  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=6497544.04..7425611.55 rows=1 width=20)
         ->  GroupAggregate  (cost=6497544.04..7425611.55 rows=1 width=20)
               Group Key: (substr((customer.c_phone)::text, 1, 2))
               ->  Sort  (cost=7425611.56..7425611.56 rows=1 width=20)
                     Sort Key: (substr((customer.c_phone)::text, 1, 2))
                     ->  Hash Anti Join  (cost=6497544.04..7425611.55 rows=1 width=20)
                           Hash Cond: (customer.c_custkey = orders.o_custkey)
                           ->  Remote Subquery Scan on all (datanode_5_1)  (cost=3819.05..309159.04 rows=175000 width=24)
                                 Distribute results by H: c_custkey
                                 ->  Bitmap Heap Scan on customer  (cost=3719.05..303984.04 rows=175000 width=24)
                                       Recheck Cond: ((substr((c_phone)::text, 1, 2) = ANY ('{12,17,21,20,15,26,10}'::text[])) AND (c_acctbal > $0))
                                       ->  Bitmap Index Scan on customer_c_phone_idx  (cost=0.00..3675.30 rows=175000 width=0)
                                             Index Cond: ((substr((c_phone)::text, 1, 2) = ANY ('{12,17,21,20,15,26,10}'::text[])) AND (c_acctbal > $0))
                           ->  Hash  (cost=5382987.00..5382987.00 rows=150000000 width=4)
                                 ->  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=100.00..5382987.00 rows=150000000 width=4)
                                       Distribute results by H: o_custkey
                                       ->  Seq Scan on orders  (cost=0.00..4032887.00 rows=150000000 width=4)
(26 rows)

COMMIT;
COMMIT