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from spark_queries import utils |
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Q_NUM = 16 |
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def q(): |
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query_str = f""" |
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select |
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p_brand, |
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p_type, |
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p_size, |
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count(distinct ps_suppkey) as supplier_cnt |
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from |
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partsupp, |
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part |
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where |
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p_partkey = ps_partkey |
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and p_brand <> 'Brand#45' |
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and p_type not like 'MEDIUM POLISHED%' |
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and p_size in (49, 14, 23, 45, 19, 3, 36, 9) |
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and ps_suppkey not in ( |
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select |
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s_suppkey |
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from |
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supplier |
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where |
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s_comment like '%Customer%Complaints%' |
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) |
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group by |
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p_brand, |
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p_type, |
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p_size |
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order by |
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supplier_cnt desc, |
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p_brand, |
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p_type, |
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p_size |
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""" |
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utils.get_part_supp_ds() |
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utils.get_part_ds() |
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utils.get_supplier_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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