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