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 'STANDARD POLISHED%' and p_size in (30, 10, 28, 19, 34, 6, 12, 20) 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=457226.31..457296.58 rows=28107 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=447399.31..455149.39 rows=28107 width=40) -> Sort (cost=447399.31..448893.11 rows=597521 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=58138.06..390071.27 rows=597521 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=54382.08..54382.08 rows=299800 width=40) -> Bitmap Heap Scan on part (cost=5787.08..54382.08 rows=299800 width=40) Recheck Cond: (p_size = ANY ('{30,10,28,19,34,6,12,20}'::integer[])) Filter: ((p_brand <> 'Brand#24'::bpchar) AND ((p_type)::text !~~ 'STANDARD POLISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5712.13 rows=322920 width=0) Index Cond: (p_size = ANY ('{30,10,28,19,34,6,12,20}'::integer[])) (17 rows) COMMIT; COMMIT