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#13' and p_type not like 'STANDARD BRUSHED%' and p_size in (21, 39, 44, 29, 18, 11, 27, 2) 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=456630.17..456699.80 rows=27851 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446868.72..454574.01 rows=27851 width=40) -> Sort (cost=446868.72..448354.08 rows=594142 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57989.75..389889.17 rows=594142 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=54260.03..54260.03 rows=297071 width=40) -> Bitmap Heap Scan on part (cost=5736.85..54260.03 rows=297071 width=40) Recheck Cond: (p_size = ANY ('{21,39,44,29,18,11,27,2}'::integer[])) Filter: ((p_brand <> 'Brand#13'::bpchar) AND ((p_type)::text !~~ 'STANDARD BRUSHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5662.59 rows=320047 width=0) Index Cond: (p_size = ANY ('{21,39,44,29,18,11,27,2}'::integer[])) (17 rows) COMMIT; COMMIT