| from spark_queries import utils | |
| Q_NUM = 22 | |
| def q(): | |
| query_str = f""" | |
| select | |
| cntrycode, | |
| count(*) as numcust, | |
| sum(c_acctbal) as totacctbal | |
| from ( | |
| select | |
| substring(c_phone from 1 for 2) as cntrycode, | |
| c_acctbal | |
| from | |
| customer | |
| where | |
| substring(c_phone from 1 for 2) in | |
| ("13","31","23", "29", "30", "18", "17") | |
| and c_acctbal > ( | |
| select | |
| avg(c_acctbal) | |
| from | |
| customer | |
| where | |
| c_acctbal > 0.00 | |
| and substring (c_phone from 1 for 2) in | |
| ("13","31","23", "29", "30", "18", "17") | |
| ) | |
| and not exists ( | |
| select | |
| * | |
| from | |
| orders | |
| where | |
| o_custkey = c_custkey | |
| ) | |
| ) as custsale | |
| group by | |
| cntrycode | |
| order by | |
| cntrycode | |
| """ | |
| utils.get_orders_ds() | |
| utils.get_customer_ds() | |
| q_final = utils.get_or_create_spark().sql(query_str) | |
| utils.run_query(Q_NUM, q_final) | |
| if __name__ == "__main__": | |
| q() | |