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from spark_queries import utils |
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Q_NUM = 2 |
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def q(): |
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query_str = f""" |
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select |
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s_acctbal, |
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s_name, |
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n_name, |
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p_partkey, |
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p_mfgr, |
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s_address, |
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s_phone, |
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s_comment |
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from |
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part, |
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supplier, |
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partsupp, |
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nation, |
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region |
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where |
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p_partkey = ps_partkey |
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and s_suppkey = ps_suppkey |
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and p_size = 15 |
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and p_type like '%BRASS' |
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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 = 'EUROPE' |
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and ps_supplycost = ( |
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select |
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min(ps_supplycost) |
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from |
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partsupp, |
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supplier, |
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nation, |
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region |
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where |
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p_partkey = ps_partkey |
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and s_suppkey = ps_suppkey |
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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 = 'EUROPE' |
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) |
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order by |
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s_acctbal desc, |
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n_name, |
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s_name, |
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p_partkey |
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limit 100 |
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""" |
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utils.get_region_ds() |
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utils.get_nation_ds() |
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utils.get_supplier_ds() |
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utils.get_part_ds() |
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utils.get_part_supp_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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