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