BEGIN; BEGIN EXPLAIN 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#32' and p_type not like 'SMALL BRUSHED%' and p_size in (38, 30, 50, 34, 3, 35, 15, 42) 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; QUERY PLAN ------------------------------------------------------------------------------------------------------------------------------- Sort (cost=457016.14..457086.03 rows=27959 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=447216.03..454951.22 rows=27959 width=40) -> Sort (cost=447216.03..448707.15 rows=596448 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58076.19..389998.67 rows=596448 width=40) Hash Cond: (partsupp.ps_partkey = part.p_partkey) -> Seq Scan on partsupp (cost=16.34..270974.34 rows=4000000 width=8) Filter: (NOT (hashed SubPlan 1)) SubPlan 1 -> Index Scan using supplier_s_suppkey_idx_like on supplier (cost=0.00..16.09 rows=100 width=4) -> Hash (cost=54332.05..54332.05 rows=298224 width=40) -> Bitmap Heap Scan on part (cost=5775.22..54332.05 rows=298224 width=40) Recheck Cond: (p_size = ANY ('{38,30,50,34,3,35,15,42}'::integer[])) Filter: ((p_brand <> 'Brand#32'::bpchar) AND ((p_type)::text !~~ 'SMALL BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5700.67 rows=321393 width=0) Index Cond: (p_size = ANY ('{38,30,50,34,3,35,15,42}'::integer[])) (17 rows) COMMIT; COMMIT