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#54' and p_type not like 'ECONOMY BURNISHED%' and p_size in (13, 27, 1, 31, 38, 24, 23, 3) 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=456638.37..456708.31 rows=27976 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446873.59..454572.08 rows=27976 width=40) -> Sort (cost=446873.59..448357.34 rows=593498 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58067.47..389960.45 rows=593498 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=54328.87..54328.87 rows=298409 width=40) -> Bitmap Heap Scan on part (cost=5774.55..54328.87 rows=298409 width=40) Recheck Cond: (p_size = ANY ('{13,27,1,31,38,24,23,3}'::integer[])) Filter: ((p_brand <> 'Brand#54'::bpchar) AND ((p_type)::text !~~ 'ECONOMY BURNISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5699.95 rows=321293 width=0) Index Cond: (p_size = ANY ('{13,27,1,31,38,24,23,3}'::integer[])) (17 rows) COMMIT; COMMIT