| from spark_queries import utils | |
| Q_NUM = 18 | |
| def q(): | |
| query_str = f""" | |
| select | |
| c_name, | |
| c_custkey, | |
| o_orderkey, | |
| to_date(o_orderdate) as o_orderdat, | |
| o_totalprice, | |
| DOUBLE(sum(l_quantity)) as col6 | |
| from | |
| customer, | |
| orders, | |
| lineitem | |
| where | |
| o_orderkey in ( | |
| select | |
| l_orderkey | |
| from | |
| lineitem | |
| group by | |
| l_orderkey having | |
| sum(l_quantity) > 300 | |
| ) | |
| 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 | |
| """ | |
| utils.get_line_item_ds() | |
| utils.get_customer_ds() | |
| utils.get_orders_ds() | |
| q_final = utils.get_or_create_spark().sql(query_str) | |
| utils.run_query(Q_NUM, q_final) | |
| if __name__ == "__main__": | |
| q() | |