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from dask_queries import utils
Q_NUM = 2
def q():
var1 = 15
var2 = "BRASS"
var3 = "EUROPE"
region_ds = utils.get_region_ds
nation_ds = utils.get_nation_ds
supplier_ds = utils.get_supplier_ds
part_ds = utils.get_part_ds
part_supp_ds = utils.get_part_supp_ds
# first call one time to cache in case we don't include the IO times
region_ds()
nation_ds()
supplier_ds()
part_ds()
part_supp_ds()
def query():
nonlocal region_ds
nonlocal nation_ds
nonlocal supplier_ds
nonlocal part_ds
nonlocal part_supp_ds
region_ds = region_ds()
nation_ds = nation_ds()
supplier_ds = supplier_ds()
part_ds = part_ds()
part_supp_ds = part_supp_ds()
nation_filtered = nation_ds[["n_nationkey", "n_name", "n_regionkey"]]
region_filtered = region_ds[(region_ds["r_name"] == var3)]
region_filtered = region_filtered[["r_regionkey"]]
r_n_merged = nation_filtered.merge(
region_filtered, left_on="n_regionkey", right_on="r_regionkey", how="inner"
)
r_n_merged = r_n_merged.loc[:, ["n_nationkey", "n_name"]]
supplier_filtered = supplier_ds.loc[
:,
[
"s_suppkey",
"s_name",
"s_address",
"s_nationkey",
"s_phone",
"s_acctbal",
"s_comment",
],
]
s_r_n_merged = r_n_merged.merge(
supplier_filtered,
left_on="n_nationkey",
right_on="s_nationkey",
how="inner",
)
s_r_n_merged = s_r_n_merged.loc[
:,
[
"n_name",
"s_suppkey",
"s_name",
"s_address",
"s_phone",
"s_acctbal",
"s_comment",
],
]
partsupp_filtered = part_supp_ds.loc[
:, ["ps_partkey", "ps_suppkey", "ps_supplycost"]
]
ps_s_r_n_merged = s_r_n_merged.merge(
partsupp_filtered, left_on="s_suppkey", right_on="ps_suppkey", how="inner"
)
ps_s_r_n_merged = ps_s_r_n_merged.loc[
:,
[
"n_name",
"s_name",
"s_address",
"s_phone",
"s_acctbal",
"s_comment",
"ps_partkey",
"ps_supplycost",
],
]
part_filtered = part_ds.loc[:, ["p_partkey", "p_mfgr", "p_size", "p_type"]]
part_filtered = part_filtered[
(part_filtered["p_size"] == var1)
& (part_filtered["p_type"].astype(str).str.endswith(var2))
]
part_filtered = part_filtered.loc[:, ["p_partkey", "p_mfgr"]]
merged_df = part_filtered.merge(
ps_s_r_n_merged, left_on="p_partkey", right_on="ps_partkey", how="inner"
)
merged_df = merged_df.loc[
:,
[
"n_name",
"s_name",
"s_address",
"s_phone",
"s_acctbal",
"s_comment",
"ps_supplycost",
"p_partkey",
"p_mfgr",
],
]
min_values = merged_df.groupby("p_partkey")["ps_supplycost"].min().reset_index()
min_values.columns = ["P_PARTKEY_CPY", "MIN_SUPPLYCOST"]
merged_df = merged_df.merge(
min_values,
left_on=["p_partkey", "ps_supplycost"],
right_on=["P_PARTKEY_CPY", "MIN_SUPPLYCOST"],
how="inner",
)
result_df = merged_df.loc[
:,
[
"s_acctbal",
"s_name",
"n_name",
"p_partkey",
"p_mfgr",
"s_address",
"s_phone",
"s_comment",
],
].compute()
result_df = result_df.sort_values(
by=[
"s_acctbal",
"n_name",
"s_name",
"p_partkey",
],
ascending=[
False,
True,
True,
True,
],
)[:100]
return result_df
utils.run_query(Q_NUM, query)
if __name__ == "__main__":
q()
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