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from spark_queries import utils
Q_NUM = 17
def q():
query_str = f"""
select
round(sum(l_extendedprice) / 7.0, 2) as avg_yearly
from
lineitem,
part
where
p_partkey = l_partkey
and p_brand = 'Brand#23'
and p_container = 'MED BOX'
and l_quantity < (
select
0.2 * avg(l_quantity)
from
lineitem
where
l_partkey = p_partkey
)
"""
utils.get_line_item_ds()
utils.get_part_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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