from spark_queries import utils

Q_NUM = 2


def q():
    query_str = f"""
    select
        s_acctbal,
        s_name,
        n_name,
        p_partkey,
        p_mfgr,
        s_address,
        s_phone,
        s_comment
    from
        part,
        supplier,
        partsupp,
        nation,
        region
    where
        p_partkey = ps_partkey
        and s_suppkey = ps_suppkey
        and p_size = 15
        and p_type like '%BRASS'
        and s_nationkey = n_nationkey
        and n_regionkey = r_regionkey
        and r_name = 'EUROPE'
        and ps_supplycost = (
            select
                min(ps_supplycost)
            from
                partsupp,
                supplier,
                nation,
                region
            where
                p_partkey = ps_partkey
                and s_suppkey = ps_suppkey
                and s_nationkey = n_nationkey
                and n_regionkey = r_regionkey
                and r_name = 'EUROPE'
        )
    order by
        s_acctbal desc,
        n_name,
        s_name,
        p_partkey
    limit 100
    """

    utils.get_region_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()