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import numpy as np
from vaex_queries import utils
Q_NUM = 4
def q():
date1 = np.datetime64("1993-10-01")
date2 = np.datetime64("1993-07-01")
line_item_ds = utils.get_line_item_ds
orders_ds = utils.get_orders_ds
# first call one time to cache in case we don't include the IO times
line_item_ds()
orders_ds()
def drop_duplicates(df, columns=None):
import vaex
if columns is None:
columns = df.get_column_names()
if type(columns) is str:
columns = [columns]
return df.groupby(columns, agg={"__hidden_count": vaex.agg.count()}).drop(
"__hidden_count"
)
def query():
nonlocal line_item_ds
nonlocal orders_ds
line_item_ds = line_item_ds()
orders_ds = orders_ds()
lsel = line_item_ds.l_commitdate < line_item_ds.l_receiptdate
osel = (orders_ds.o_orderdate < date1) & (orders_ds.o_orderdate >= date2)
flineitem = line_item_ds[lsel]
forders = orders_ds[osel]
# see: https://github.com/vaexio/vaex/issues/1319
forders = forders.sort("o_orderkey")
jn = forders.join(
flineitem,
left_on="o_orderkey",
right_on="l_orderkey",
how="inner",
allow_duplication=True,
)
# cannot finish this query because we cannot drop_duplicates by a subset
jn = drop_duplicates(jn, columns=["o_orderkey"])
[["o_orderpriority", "o_orderkey"]]
result_df = (
jn.groupby("o_orderpriority")
.agg({"o_orderkey": "count"})
.sort(["o_orderpriority"])
)
result_df["order_count"] = result_df["o_orderkey"]
return result_df
utils.run_query(Q_NUM, query)
if __name__ == "__main__":
q()
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