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