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from spark_queries import utils |
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Q_NUM = 11 |
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def q(): |
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query_str = f""" |
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select |
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ps_partkey, |
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round(sum(ps_supplycost * ps_availqty), 2) as value |
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from |
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partsupp, |
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supplier, |
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nation |
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where |
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ps_suppkey = s_suppkey |
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and s_nationkey = n_nationkey |
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and n_name = 'GERMANY' |
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group by |
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ps_partkey having |
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sum(ps_supplycost * ps_availqty) > ( |
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select |
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sum(ps_supplycost * ps_availqty) * 0.0001 |
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from |
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partsupp, |
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supplier, |
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nation |
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where |
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ps_suppkey = s_suppkey |
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and s_nationkey = n_nationkey |
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and n_name = 'GERMANY' |
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) |
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order by |
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value desc |
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""" |
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utils.get_supplier_ds() |
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utils.get_part_supp_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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