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#24' and p_type not like 'LARGE ANODIZED%' and p_size in (40, 9, 17, 16, 26, 44, 42, 4) 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=456743.43..456813.32 rows=27959 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446969.22..454678.51 rows=27959 width=40) -> Sort (cost=446969.22..448455.16 rows=594376 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58063.78..389965.54 rows=594376 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=54327.53..54327.53 rows=298222 width=40) -> Bitmap Heap Scan on part (cost=5774.20..54327.53 rows=298222 width=40) Recheck Cond: (p_size = ANY ('{40,9,17,16,26,44,42,4}'::integer[])) Filter: ((p_brand <> 'Brand#24'::bpchar) AND ((p_type)::text !~~ 'LARGE ANODIZED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5699.65 rows=321253 width=0) Index Cond: (p_size = ANY ('{40,9,17,16,26,44,42,4}'::integer[])) (17 rows) COMMIT; COMMIT