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#42' and p_type not like 'SMALL BRUSHED%' and p_size in (25, 26, 3, 39, 38, 16, 36, 11) 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=456558.63..456628.47 rows=27937 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446803.70..454495.50 rows=27937 width=40) -> Sort (cost=446803.70..448286.19 rows=592994 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58054.58..389942.52 rows=592994 width=40) Hash Cond: (partsupp.ps_partkey = part.p_partkey) -> Seq Scan on partsupp (cost=8.48..270966.48 rows=4000000 width=8) Filter: (NOT (hashed SubPlan 1)) SubPlan 1 -> Index Scan using supplier_s_suppkey_idx_like on supplier (cost=0.00..8.45 rows=10 width=4) -> Hash (cost=54321.20..54321.20 rows=297992 width=40) -> Bitmap Heap Scan on part (cost=5772.70..54321.20 rows=297992 width=40) Recheck Cond: (p_size = ANY ('{25,26,3,39,38,16,36,11}'::integer[])) Filter: ((p_brand <> 'Brand#42'::bpchar) AND ((p_type)::text !~~ 'SMALL BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5698.21 rows=321060 width=0) Index Cond: (p_size = ANY ('{25,26,3,39,38,16,36,11}'::integer[])) (17 rows) COMMIT; COMMIT