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) > 313 ) 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=10141229.75..10141232.50 rows=100 width=39) -> GroupAggregate (cost=10141229.75..10966034.12 rows=29992886 width=39) Group Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Sort (cost=10141229.75..10216211.97 rows=29992886 width=39) Sort Key: orders.o_totalprice, orders.o_orderdate, customer.c_name, customer.c_custkey, orders.o_orderkey -> Hash Join (cost=2881249.96..5596275.69 rows=29992886 width=39) Hash Cond: (lineitem.l_orderkey = orders.o_orderkey) -> Seq Scan on lineitem (cost=0.00..1665274.72 rows=59985772 width=8) -> Hash (cost=2787499.96..2787499.96 rows=7500000 width=39) -> Hash Join (cost=2175203.32..2787499.96 rows=7500000 width=39) Hash Cond: (orders.o_custkey = customer.c_custkey) -> Hash Join (cost=2106175.32..2605971.96 rows=7500000 width=20) Hash Cond: (orders.o_orderkey = lineitem_1.l_orderkey) -> Seq Scan on orders (cost=0.00..403269.00 rows=15000000 width=16) -> Hash (cost=2055828.27..2055828.27 rows=4027764 width=4) -> HashAggregate (cost=1965203.58..2015550.63 rows=4027764 width=8) Group Key: lineitem_1.l_orderkey Filter: (sum(lineitem_1.l_quantity) > 313::double precision) -> Seq Scan on lineitem lineitem_1 (cost=0.00..1665274.72 rows=59985772 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: 3.320 ms (22 rows) COMMIT; COMMIT