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from spark_queries import utils |
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Q_NUM = 18 |
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def q(): |
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query_str = f""" |
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select |
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c_name, |
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c_custkey, |
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o_orderkey, |
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to_date(o_orderdate) as o_orderdat, |
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o_totalprice, |
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DOUBLE(sum(l_quantity)) as col6 |
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from |
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customer, |
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orders, |
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lineitem |
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where |
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o_orderkey in ( |
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select |
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l_orderkey |
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from |
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lineitem |
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group by |
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l_orderkey having |
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sum(l_quantity) > 300 |
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) |
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and c_custkey = o_custkey |
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and o_orderkey = l_orderkey |
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group by |
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c_name, |
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c_custkey, |
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o_orderkey, |
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o_orderdate, |
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o_totalprice |
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order by |
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o_totalprice desc, |
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o_orderdate |
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limit 100 |
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""" |
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utils.get_line_item_ds() |
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utils.get_customer_ds() |
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utils.get_orders_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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