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 'SMALL BURNISHED%' and p_size in (19, 3, 25, 21, 18, 24, 40, 34) 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=456413.46..456482.94 rows=27789 width=40) Sort Key: (count(DISTINCT partsupp.ps_suppkey)), part.p_brand, part.p_type, part.p_size -> GroupAggregate (cost=446674.11..454362.33 rows=27789 width=40) -> Sort (cost=446674.11..448156.18 rows=592826 width=40) Sort Key: part.p_brand, part.p_type, part.p_size -> Hash Join (cost=57943.99..389830.25 rows=592826 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=54230.35..54230.35 rows=296413 width=40) -> Bitmap Heap Scan on part (cost=5729.85..54230.35 rows=296413 width=40) Recheck Cond: (p_size = ANY ('{19,3,25,21,18,24,40,34}'::integer[])) Filter: ((p_brand <> 'Brand#13'::bpchar) AND ((p_type)::text !~~ 'SMALL BURNISHED%'::text)) -> Bitmap Index Scan on part_p_size_idx (cost=0.00..5655.75 rows=319140 width=0) Index Cond: (p_size = ANY ('{19,3,25,21,18,24,40,34}'::integer[])) (17 rows) COMMIT; COMMIT