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