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from spark_queries import utils |
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Q_NUM = 20 |
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def q(): |
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query_str = f""" |
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select |
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s_name, |
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s_address |
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from |
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supplier, |
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nation |
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where |
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s_suppkey in ( |
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select |
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ps_suppkey |
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from |
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partsupp |
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where |
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ps_partkey in ( |
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select |
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p_partkey |
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from |
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part |
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where |
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p_name like 'forest%' |
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) |
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and ps_availqty > ( |
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select |
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0.5 * sum(l_quantity) |
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from |
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lineitem |
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where |
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l_partkey = ps_partkey |
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and l_suppkey = ps_suppkey |
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and l_shipdate >= date '1994-01-01' |
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and l_shipdate < date '1994-01-01' + interval '1' year |
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) |
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) |
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and s_nationkey = n_nationkey |
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and n_name = 'CANADA' |
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order by |
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s_name |
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""" |
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utils.get_line_item_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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