BEGIN; BEGIN EXPLAIN select c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice, sum(l_quantity) from customer, orders, lineitem where o_orderkey in ( select l_orderkey from lineitem group by l_orderkey having sum(l_quantity) > 312 ) and c_custkey = o_custkey and o_orderkey = l_orderkey group by c_name, c_custkey, o_orderkey, o_orderdate, o_totalprice order by o_totalprice desc, o_orderdate LIMIT 100; QUERY PLAN -------------------------------------------------------------------------------------------------------------------------------------- Limit (cost=10152682.51..10152685.26 rows=100 width=39) -> GroupAggregate (cost=10152682.51..10978314.90 rows=30022996 width=39) Group Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Sort (cost=10152682.51..10227740.00 rows=30022996 width=39) Sort Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Hash Join (cost=2885209.46..5602949.26 rows=30022996 width=39) Hash Cond: (lineitem.l_orderkey = orders.o_orderkey) -> Seq Scan on lineitem (cost=0.00..1666934.93 rows=60045993 width=8) -> Hash (cost=2791365.81..2791365.81 rows=7507492 width=39) -> Hash Join (cost=2178201.51..2791365.81 rows=7507492 width=39) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Hash Join (cost=2109173.51..2609725.43 rows=7507492 width=20) Hash Cond: (orders.o_orderkey = lineitem_1.l_orderkey) -> Seq Scan on orders (cost=0.00..403671.84 rows=15014984 width=16) -> Hash (cost=2058456.15..2058456.15 rows=4057389 width=4) -> HashAggregate (cost=1967164.90..2017882.26 rows=4057389 width=8) Group Key: lineitem_1.l_orderkey Filter: (sum(lineitem_1.l_quantity) > 312::double precision) -> Seq Scan on lineitem lineitem_1 (cost=0.00..1666934.93 rows=60045993 width=8) -> Hash (cost=50278.00..50278.00 rows=1500000 width=23) -> Seq Scan on customer (cost=0.00..50278.00 rows=1500000 width=23) Planning time: 3.068 ms (22 rows) COMMIT; COMMIT