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from spark_queries import utils |
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Q_NUM = 7 |
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def q(): |
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query_str = f""" |
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select |
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supp_nation, |
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cust_nation, |
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l_year, |
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sum(volume) as revenue |
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from |
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( |
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select |
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n1.n_name as supp_nation, |
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n2.n_name as cust_nation, |
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year(l_shipdate) as l_year, |
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l_extendedprice * (1 - l_discount) as volume |
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from |
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supplier, |
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lineitem, |
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orders, |
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customer, |
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nation n1, |
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nation n2 |
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where |
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s_suppkey = l_suppkey |
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and o_orderkey = l_orderkey |
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and c_custkey = o_custkey |
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and s_nationkey = n1.n_nationkey |
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and c_nationkey = n2.n_nationkey |
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and ( |
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(n1.n_name = 'FRANCE' and n2.n_name = 'GERMANY') |
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or (n1.n_name = 'GERMANY' and n2.n_name = 'FRANCE') |
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) |
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and date(l_shipdate) between date '1995-01-01' and date '1996-12-31' |
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) as shipping |
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group by |
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supp_nation, |
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cust_nation, |
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l_year |
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order by |
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supp_nation, |
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cust_nation, |
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l_year |
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""" |
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utils.get_customer_ds() |
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utils.get_orders_ds() |
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utils.get_line_item_ds() |
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utils.get_supplier_ds() |
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utils.get_nation_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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