tuner_gpt4.out

/Users/ahmadghazal/Library/Python/3.9/lib/python/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020
  warnings.warn(

 --------------prompts selected--------------- 

defaultdict(<class 'list'>, {'Filter': ['Rewrite the following query by pushing down the single table predicates down to single table scan'], 'GroupBy,Join': ['Apply multi phase group by split optimization for the following query'], 'Distinct': ['Apply distinct pushdown optimization for the following query'], 'GroupBy': ['Apply distinct pushdown optimization for the following query'], 'LeftJoin': ['Apply outer join to inner join conversion optimization for the following query'], 'RightJoin': ['Apply outer join to inner join conversion optimization for the following query'], 'OuterJoin': ['Apply outer join to inner join conversion optimization for the following query'], 'Aggregate,Distinct': ['Convert aggregate distinct to aggregate on a group by derived table for the following query']})

 --------------------------------------------- 


 ----------------- results -------------------- 

SQL =  select
	l_returnflag,
	l_linestatus,
	sum(l_quantity) as sum_qty,
	sum(l_extendedprice) as sum_base_price,
	sum(l_extendedprice * (1 - l_discount)) as sum_disc_price,
	sum(l_extendedprice * (1 - l_discount) * (1 + l_tax)) as sum_charge,
	avg(l_quantity) as avg_qty,
	avg(l_extendedprice) as avg_price,
	avg(l_discount) as avg_disc,
	count(*) as count_order
from
	lineitem
where
	l_shipdate <= date_sub('1998-12-01', interval 108 day)
group by
	l_returnflag,
	l_linestatus
order by
	l_returnflag,
	l_linestatus;

["Aggregate","Filter","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	s_acctbal,
	s_name,
	n_name,
	p_partkey,
	p_mfgr,
	s_address,
	s_phone,
	s_comment
from
	part,
	supplier,
	partsupp,
	nation,
	region
where
	p_partkey = ps_partkey
	and s_suppkey = ps_suppkey
	and p_size = 30
	and p_type like '%STEEL'
	and s_nationkey = n_nationkey
	and n_regionkey = r_regionkey
	and r_name = 'ASIA'
	and ps_supplycost = (
		select
			min(ps_supplycost)
		from
			partsupp,
			supplier,
			nation,
			region
		where
			p_partkey = ps_partkey
			and s_suppkey = ps_suppkey
			and s_nationkey = n_nationkey
			and n_regionkey = r_regionkey
			and r_name = 'ASIA'
	)
order by
	s_acctbal desc,
	n_name,
	s_name,
	p_partkey
limit 100;

["Join","Filter","Aggregate","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	l_orderkey,
	sum(l_extendedprice * (1 - l_discount)) as revenue,
	o_orderdate,
	o_shippriority
from
	customer,
	orders,
	lineitem
where
	c_mktsegment = 'AUTOMOBILE'
	and c_custkey = o_custkey
	and l_orderkey = o_orderkey
	and o_orderdate < '1995-03-13'
	and l_shipdate > '1995-03-13'
group by
	l_orderkey,
	o_orderdate,
	o_shippriority
order by
	revenue desc,
	o_orderdate
limit 10;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	o_orderpriority,
	count(*) as order_count
from
	orders
where
	o_orderdate >= '1995-01-01'
	and o_orderdate < date_add('1995-01-01', interval '3' month)
	and exists (
		select
			*
		from
			lineitem
		where
			l_orderkey = o_orderkey
			and l_commitdate < l_receiptdate
	)
group by
	o_orderpriority
order by
	o_orderpriority;

["Aggregate","Filter","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	n_name,
	sum(l_extendedprice * (1 - l_discount)) as revenue
from
	customer,
	orders,
	lineitem,
	supplier,
	nation,
	region
where
	c_custkey = o_custkey
	and l_orderkey = o_orderkey
	and l_suppkey = s_suppkey
	and c_nationkey = s_nationkey
	and s_nationkey = n_nationkey
	and n_regionkey = r_regionkey
	and r_name = 'MIDDLE EAST'
	and o_orderdate >= '1994-01-01'
	and o_orderdate < date_add('1994-01-01', interval '1' year)
group by
	n_name
order by
	revenue desc;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	sum(l_extendedprice * l_discount) as revenue
from
	lineitem
where
	l_shipdate >= '1994-01-01'
	and l_shipdate < date_add('1994-01-01', interval '1' year)
	and l_discount between 0.06 - 0.01 and 0.06 + 0.01
	and l_quantity < 24;

["Aggregate","Filter"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	supp_nation,
	cust_nation,
	l_year,
	sum(volume) as revenue
from
	(
		select
			n1.n_name as supp_nation,
			n2.n_name as cust_nation,
			extract(year from l_shipdate) as l_year,
			l_extendedprice * (1 - l_discount) as volume
		from
			supplier,
			lineitem,
			orders,
			customer,
			nation n1,
			nation n2
		where
			s_suppkey = l_suppkey
			and o_orderkey = l_orderkey
			and c_custkey = o_custkey
			and s_nationkey = n1.n_nationkey
			and c_nationkey = n2.n_nationkey
			and (
				(n1.n_name = 'JAPAN' and n2.n_name = 'INDIA')
				or (n1.n_name = 'INDIA' and n2.n_name = 'JAPAN')
			)
			and l_shipdate between '1995-01-01' and '1996-12-31'
	) as shipping
group by
	supp_nation,
	cust_nation,
	l_year
order by
	supp_nation,
	cust_nation,
	l_year;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	o_year,
	sum(case
		when nation = 'INDIA' 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 = 'ASIA'
			and s_nationkey = n2.n_nationkey
			and o_orderdate between '1995-01-01' and '1996-12-31'
			and p_type = 'SMALL PLATED COPPER'
	) as all_nations
group by
	o_year
order by
	o_year;

["Filter","Aggregate","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	nation,
	o_year,
	sum(amount) as sum_profit
from
	(
		select
			n_name as nation,
			extract(year from o_orderdate) as o_year,
			l_extendedprice * (1 - l_discount) - ps_supplycost * l_quantity as amount
		from
			part,
			supplier,
			lineitem,
			partsupp,
			orders,
			nation
		where
			s_suppkey = l_suppkey
			and ps_suppkey = l_suppkey
			and ps_partkey = l_partkey
			and p_partkey = l_partkey
			and o_orderkey = l_orderkey
			and s_nationkey = n_nationkey
			and p_name like '%dim%'
	) as profit
group by
	nation,
	o_year
order by
	nation,
	o_year desc;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  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 >= '1993-08-01'
	and o_orderdate < date_add('1993-08-01', interval '3' month)
	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;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	ps_partkey,
	sum(ps_supplycost * ps_availqty) as value
from
	partsupp,
	supplier,
	nation
where
	ps_suppkey = s_suppkey
	and s_nationkey = n_nationkey
	and n_name = 'MOZAMBIQUE'
group by
	ps_partkey having
		sum(ps_supplycost * ps_availqty) > (
			select
				sum(ps_supplycost * ps_availqty) * 0.0001000000
			from
				partsupp,
				supplier,
				nation
			where
				ps_suppkey = s_suppkey
				and s_nationkey = n_nationkey
				and n_name = 'MOZAMBIQUE'
		)
order by
	value desc;

["Aggregate","Filter","Join","GroupBy","Having","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	l_shipmode,
	sum(case
		when o_orderpriority = '1-URGENT'
			or o_orderpriority = '2-HIGH'
			then 1
		else 0
	end) as high_line_count,
	sum(case
		when o_orderpriority <> '1-URGENT'
			and o_orderpriority <> '2-HIGH'
			then 1
		else 0
	end) as low_line_count
from
	orders,
	lineitem
where
	o_orderkey = l_orderkey
	and l_shipmode in ('RAIL', 'FOB')
	and l_commitdate < l_receiptdate
	and l_shipdate < l_commitdate
	and l_receiptdate >= '1997-01-01'
	and l_receiptdate < date_add('1997-01-01', interval '1' year)
group by
	l_shipmode
order by
	l_shipmode;

["Aggregate","Filter","Join","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	c_count,
	count(*) as custdist
from
	(
		select
			c_custkey,
			count(o_orderkey) as c_count
		from
			customer left outer join orders on
				c_custkey = o_custkey
				and o_comment not like '%pending%deposits%'
		group by
			c_custkey
	) c_orders
group by
	c_count
order by
	custdist desc,
	c_count desc;

["Aggregate","LeftJoin","Filter","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply outer join to inner join conversion optimization for the following query

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	100.00 * sum(case
		when p_type like 'PROMO%'
			then l_extendedprice * (1 - l_discount)
		else 0
	end) / sum(l_extendedprice * (1 - l_discount)) as promo_revenue
from
	lineitem,
	part
where
	l_partkey = p_partkey
	and l_shipdate >= '1996-12-01'
	and l_shipdate < date_add('1996-12-01', interval '1' month);

["Filter","Aggregate","Join"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	p_brand,
	p_type,
	p_size,
	count(distinct ps_suppkey) as supplier_cnt
from
	partsupp,
	part
where
	p_partkey = ps_partkey
	and p_brand <> 'Brand#34'
	and p_type not like 'LARGE BRUSHED%'
	and p_size in (48, 19, 12, 4, 41, 7, 21, 39)
	and ps_suppkey not in (
		select
			s_suppkey
		from
			supplier
		where
			s_comment like '%Customer%Complaints%'
	)
group by
	p_brand,
	p_type,
	p_size
order by
	supplier_cnt desc,
	p_brand,
	p_type,
	p_size;

["Aggregate","Join","Filter","GroupBy","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  
select
	sum(l_extendedprice) / 7.0 as avg_yearly
from
	lineitem,
	part
where
	p_partkey = l_partkey
	and p_brand = 'Brand#44'
	and p_container = 'WRAP PKG'
	and l_quantity < (
		select
			0.2 * avg(l_quantity)
		from
			lineitem
		where
			l_partkey = p_partkey
	);

["Filter","Aggregate","Join"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 


 ---------------------------------------------- 

SQL =  select
	c_name,
	c_custkey,
	o_orderkey,
	o_orderdate,
	o_totalprice,
	sum(l_quantity)
from
	customer,
	orders,
	lineitem
where
	o_orderkey in (
		select
			l_orderkey
		from
			lineitem
		group by
			l_orderkey having
				sum(l_quantity) > 314
	)
	and c_custkey = o_custkey
	and o_orderkey = l_orderkey
group by
	c_name,
	c_custkey,
	o_orderkey,
	o_orderdate,
	o_totalprice
order by
	o_totalprice desc,
	o_orderdate
limit 100;

["Aggregate","Join","Filter","GroupBy","Having","OrderBy"]

 ---------------------------------------------- 

rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan

 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query

 ---------------------------------------------- 


 ---------------------------------------------- 

rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	
	substring(c_phone from 1 for 2) as cntrycode, 	
	count(*) as numcust, 
	sum(c_acctbal) as totacctbal 
from 	
	customer 
where 	
	substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 	
	and c_acctbal > (
		select 			
			avg(c_acctbal) 
		from 			
			customer 
		where 			
			c_acctbal > 0.00 			
			and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
	) 	
	and not exists (
		select 				
			* 			
		from 				
			orders 			
		where 				
			o_custkey = c_custkey 
	)
group by 	
	substring(c_phone from 1 for 2)
order by 	
	substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > (
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
    ) 
    and not exists (
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey
    ) 
group by 
    substring(c_phone from 1 for 2)
order by 
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
	cntrycode, 
	count(*) as numcust, 
	sum(c_acctbal) as totacctbal 
from 
	( 
		select 
			substring(c_phone from 1 for 2) as cntrycode, 
			c_acctbal 
		from 
			customer 
		where 
			substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
			and c_acctbal > (
				select 
					avg(c_acctbal) 
				from 
					customer 
				where 
					c_acctbal > 0.00 
					and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
			) 
			and c_custkey not in (
				select 
					o_custkey 
				from 
					orders 
			) 	
	) as custsale 
group by 
	cntrycode 
order by 
	cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust,
    sum(c_acctbal) as totacctbal 
from 	
    customer 
where 	
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > (
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    ) 
    and not exists (
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 	
    substring(c_phone from 1 for 2)
order by 	
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	substring(c_phone from 1 for 2) as cntrycode, 
	count(*) as numcust, 
	sum(c_acctbal) as totacctbal 
from 	customer 
where 	substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
	and c_acctbal > (
		select avg(c_acctbal) 
		from customer 
		where c_acctbal > 0.00 
			and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
	) 
	and not exists (
		select * 
		from orders 
		where o_custkey = c_custkey 
	) 
group by substring(c_phone from 1 for 2) 
order by substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  WITH avg_cust_bal AS (
	SELECT 
		AVG(c_acctbal) as avg_acct_bal 
	FROM 
		customer 
	WHERE 
		c_acctbal > 0.00 
		AND substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
), 
cust_without_orders AS (
	SELECT 
		* 
	FROM 
		customer 
	WHERE 
		NOT EXISTS (
			SELECT 
				1 
			FROM 
				orders 
			WHERE 
				o_custkey = c_custkey 
		)
),
cust_filtered AS (
	SELECT 
		substring(c_phone from 1 for 2) as cntrycode, 
		c_acctbal 
	FROM 
		cust_without_orders 
	WHERE 
		substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
		AND c_acctbal > (SELECT avg_acct_bal FROM avg_cust_bal)
)
SELECT 
	cntrycode, 
	COUNT(*) as numcust, 
	SUM(c_acctbal) as totacctbal 
FROM 
	cust_filtered 
GROUP BY 
	cntrycode 
ORDER BY 
	cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  SELECT 
    cntrycode, 
    COUNT(*) AS numcust, 
    SUM(c_acctbal) AS totacctbal 
FROM 
    (
        SELECT 
            cntrycode, 
            c_acctbal 
        FROM 
            (
                SELECT 
                    SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, 
                    c_acctbal, 
                    c_custkey 
                FROM 
                    customer 
            ) AS subquery 
        WHERE 
            cntrycode IN ('20', '40', '22', '30', '39', '42', '21') 
            AND c_acctbal > 
            (
                SELECT 
                    AVG(c_acctbal) 
                FROM 
                    customer 
                WHERE 
                    c_acctbal > 0.00 
                    AND SUBSTRING(c_phone FROM 1 FOR 2) IN ('20', '40', '22', '30', '39', '42', '21') 
            ) 
            AND NOT EXISTS 
            (
                SELECT 
                    * 
                FROM 
                    orders 
                WHERE 
                    o_custkey = c_custkey 
            ) 
    ) AS custsale 
GROUP BY 
    cntrycode 
ORDER BY 
    cntrycode;
 original cost =  165517574.35000002 new_cost = 146253030.13000003
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
	substring(c_phone from 1 for 2) as cntrycode,
	count(*) as numcust,
	sum(c_acctbal) as totacctbal
from 
	customer
where 
	substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
	and c_acctbal > (
		select 
			avg(c_acctbal)
		from 
			customer
		where 
			c_acctbal > 0.00
			and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
	)
	and c_custkey not in (
		select 
			o_custkey
		from 
			orders
	)
group by 
	substring(c_phone from 1 for 2)
order by 
	substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  SELECT  
    cntrycode,  
    COUNT(*) AS numcust,  
    SUM(c_acctbal) AS totacctbal 
FROM  
    ( 
        SELECT  
            SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode,  
            c_acctbal 
        FROM  
            customer 
        WHERE  
            SUBSTRING(c_phone FROM 1 FOR 2) IN ('20', '40', '22', '30', '39', '42', '21') 
            AND c_acctbal >  
                ( 
                    SELECT  
                        AVG(c_acctbal) 
                    FROM  
                        customer 
                    WHERE  
                        c_acctbal > 0.00 
                        AND SUBSTRING(c_phone FROM 1 FOR 2) IN ('20', '40', '22', '30', '39', '42', '21') 
                ) 
            AND c_custkey NOT IN 
                (
                    SELECT  
                        o_custkey 
                    FROM  
                        orders 
                )
    ) AS custsale 
GROUP BY  
    cntrycode 
ORDER BY  
    cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
	cntrycode,
	count(*) as numcust,
	sum(c_acctbal) as totacctbal 
from 
	(
		select 
			substring(c_phone from 1 for 2) as cntrycode, 
			c_acctbal 
		from 
			customer 
		where 
			substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
			and c_acctbal > (
				select 
					avg(c_acctbal) 
				from 
					customer 
				where 
					c_acctbal > 0.00 
					and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
			) 
			and c_custkey not in (
				select 
					o_custkey 
				from 
					orders 
			) 
	) as custsale 
group by 
	cntrycode 
order by 
	cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
	cntrycode,
	count(*) as numcust,
	sum(c_acctbal) as totacctbal 
from 
	(
		select 
			substring(c_phone from 1 for 2) as cntrycode, 
			c_acctbal 
		from 
			customer 
		where 
			substring(c_phone from 1 for 2) in 
				('20', '40', '22', '30', '39', '42', '21') 
			and c_acctbal > (
				select 
					avg(c_acctbal) 
				from 
					customer 
				where 
					c_acctbal > 0.00 
					and substring(c_phone from 1 for 2) in 
						('20', '40', '22', '30', '39', '42', '21')
			) 
			and c_custkey not in (
				select 
					o_custkey 
				from 
					orders 
			) 
	) as custsale 
group by 
	cntrycode 
order by 
	cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  SELECT 
    cntrycode, 
    COUNT(*) AS numcust, 
    SUM(c_acctbal) AS totacctbal 
FROM 
    (
        SELECT 
            SUBSTRING(c_phone FROM 1 FOR 2) AS cntrycode, 
            c_acctbal 
        FROM 
            customer 
        WHERE 
            c_acctbal > (
                SELECT 
                    AVG(c_acctbal) 
                FROM 
                    customer 
                WHERE 
                    c_acctbal > 0.00 
                    AND SUBSTRING(c_phone FROM 1 FOR 2) IN ('20', '40', '22', '30', '39', '42', '21') 
            ) 
            AND NOT EXISTS (
                SELECT 
                    1 
                FROM 
                    orders 
                WHERE 
                    o_custkey = c_custkey 
            ) 
    ) AS custsale 
WHERE 
    cntrycode IN ('20', '40', '22', '30', '39', '42', '21') 
GROUP BY 
    cntrycode 
ORDER BY 
    cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > ( 
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    ) 
    and not exists ( 
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 
    substring(c_phone from 1 for 2)
order by 
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > ( 
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    ) 
    and not exists ( 
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 
    substring(c_phone from 1 for 2) 
order by 
    cntrycode;
 original cost =  165517574.35000002 new_cost = 165558284.55
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    ( 
        select 
            cntrycode, 
            c_acctbal 
        from 
            (
                select 
                    substring(c_phone from 1 for 2) as cntrycode,
                    c_acctbal,
                    c_custkey
                from 
                    customer
            ) as cust 
        where 
            cntrycode in ('20', '40', '22', '30', '39', '42', '21') 
            and c_acctbal > 
            (
                select 
                    avg(c_acctbal) 
                from 
                    (
                        select 
                            c_acctbal
                        from 
                            customer
                        where 
                            c_acctbal > 0.00 
                            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
                    ) as avg_bal
            ) 
            and not exists 
            (
                select 
                    * 
                from 
                    orders 
                where 
                    o_custkey = cust.c_custkey 
            ) 
    ) as custsale 
group by 
    cntrycode 
order by 
    cntrycode; 

 original cost =  165517574.35000002 new_cost = 146253030.13000003
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > (
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
    ) 
    and not exists (
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 
    substring(c_phone from 1 for 2) 
order by 
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	
    substring(c_phone from 1 for 2) as cntrycode, 	
    count(*) as numcust, 	
    sum(c_acctbal) as totacctbal 
from 	
    customer
where 		
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 		
    and c_acctbal > (
        select 				
            avg(c_acctbal) 			
        from 				
            customer 			
        where 				
            c_acctbal > 0.00 				
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 		
    ) 		
    and not exists (
        select 				
            * 			
        from 				
            orders 			
        where 				
            o_custkey = c_custkey 		
    )
group by 	
    substring(c_phone from 1 for 2)
order by 	
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust, 
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > (
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    ) 
    and not exists (
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 
    substring(c_phone from 1 for 2) 
order by 
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
Already optimized sql so no optimization is done
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  WITH avg_balance AS (
	SELECT avg(c_acctbal) as avg_bal
	FROM customer
	WHERE c_acctbal > 0.00 
	AND substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
),
cust_without_orders AS (
	SELECT c_custkey, substring(c_phone from 1 for 2) as cntrycode, c_acctbal
	FROM customer
	WHERE NOT EXISTS (
		SELECT 1
		FROM orders
		WHERE o_custkey = c_custkey
	) 
	AND substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
)

SELECT cntrycode, count(*) as numcust, sum(c_acctbal) as totacctbal 
FROM cust_without_orders, avg_balance
WHERE c_acctbal > avg_bal
GROUP BY cntrycode
ORDER BY cntrycode;
 original cost =  165517574.35000002 new_cost = 210938621.87000003
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	cntrycode, 	
        count(*) as numcust, 	
        sum(c_acctbal) as totacctbal 
from 	( 
            select 	substring(c_phone from 1 for 2) as cntrycode, 	
                    c_acctbal 
            from 	customer 
            where 	substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
            and c_acctbal > (
                                select avg(c_acctbal) 
                                from customer 
                                where c_acctbal > 0.00 
                                and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
                            ) 
            and c_custkey not in (
                                    select o_custkey 
                                    from orders 
                                 ) 	
        ) as custsale 
group by cntrycode 
order by cntrycode;
 original cost =  165517574.35000002 new_cost = 165517574.35000002
rewrite: Apply distinct pushdown optimization for the following query. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal 
from 	( 		
    select 			c_phone_prefix as cntrycode, 			c_acctbal 		
    from 			customer 		
    where 			c_phone_prefix in ('20', '40', '22', '30', '39', '42', '21') 			
    and c_acctbal > ( 				
        select 					avg(c_acctbal) 				
        from 					customer 				
        where 					c_acctbal > 0.00 					
        and c_phone_prefix in ('20', '40', '22', '30', '39', '42', '21') 			
    ) 			
    and not exists ( 				
        select 					1 				
        from 					orders 				
        where 					o_custkey = c_custkey 			
    ) 	
) as custsale 
group by 	cntrycode 
order by 	cntrycode; 
No TiDB connection
 original cost =  165517574.35000002 new_cost = -1.0
rewrite: Rewrite the following query by pushing down the single table predicates down to single table scan. Respond with just rewritten sql and no explanation. If it is already optimized respond with NO_OPTIMIZATION
original sql =  select 	cntrycode, 	count(*) as numcust, 	sum(c_acctbal) as totacctbal from 	( 		select 			substring(c_phone from 1 for 2) as cntrycode, 			c_acctbal 		from 			customer 		where 			substring(c_phone from 1 for 2) in 				('20', '40', '22', '30', '39', '42', '21') 			and c_acctbal > ( 				select 					avg(c_acctbal) 				from 					customer 				where 					c_acctbal > 0.00 					and substring(c_phone from 1 for 2) in 						('20', '40', '22', '30', '39', '42', '21') 			) 			and not exists ( 				select 					* 				from 					orders 				where 					o_custkey = c_custkey 			) 	) as custsale group by 	cntrycode order by 	cntrycode; 
new_sql =  select 
    substring(c_phone from 1 for 2) as cntrycode, 
    count(*) as numcust,
    sum(c_acctbal) as totacctbal 
from 
    customer 
where 
    substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21') 
    and c_acctbal > (
        select 
            avg(c_acctbal) 
        from 
            customer 
        where 
            c_acctbal > 0.00 
            and substring(c_phone from 1 for 2) in ('20', '40', '22', '30', '39', '42', '21')
    ) 
    and not exists (
        select 
            * 
        from 
            orders 
        where 
            o_custkey = c_custkey 
    ) 
group by 
    substring(c_phone from 1 for 2) 
order by 
    substring(c_phone from 1 for 2);
 original cost =  165517574.35000002 new_cost = 232217167.42000005