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from spark_queries import utils |
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Q_NUM = 5 |
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def q(): |
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query_str = f""" |
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select |
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n_name, |
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sum(l_extendedprice * (1 - l_discount)) as revenue |
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from |
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customer, |
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orders, |
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lineitem, |
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supplier, |
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nation, |
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region |
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where |
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c_custkey = o_custkey |
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and l_orderkey = o_orderkey |
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and l_suppkey = s_suppkey |
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and c_nationkey = s_nationkey |
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and s_nationkey = n_nationkey |
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and n_regionkey = r_regionkey |
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and r_name = 'ASIA' |
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and o_orderdate >= date '1994-01-01' |
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and o_orderdate < date '1994-01-01' + interval '1' year |
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group by |
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n_name |
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order by |
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revenue desc |
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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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utils.get_region_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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