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import datetime |
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import numpy as np |
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from vaex_queries import utils |
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Q_NUM = 5 |
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def q(): |
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date1 = np.datetime64("1994-01-01") |
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date2 = np.datetime64("1995-01-01") |
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region_ds = utils.get_region_ds |
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nation_ds = utils.get_nation_ds |
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customer_ds = utils.get_customer_ds |
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line_item_ds = utils.get_line_item_ds |
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orders_ds = utils.get_orders_ds |
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supplier_ds = utils.get_supplier_ds |
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region_ds() |
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nation_ds() |
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customer_ds() |
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line_item_ds() |
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orders_ds() |
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supplier_ds() |
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def query(): |
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nonlocal region_ds |
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nonlocal nation_ds |
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nonlocal customer_ds |
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nonlocal line_item_ds |
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nonlocal orders_ds |
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nonlocal supplier_ds |
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region_ds = region_ds() |
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nation_ds = nation_ds() |
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customer_ds = customer_ds() |
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line_item_ds = line_item_ds() |
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orders_ds = orders_ds() |
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supplier_ds = supplier_ds() |
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rsel = region_ds.r_name == "ASIA" |
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osel = (orders_ds.o_orderdate >= date1) & (orders_ds.o_orderdate < date2) |
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forders = orders_ds[osel] |
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fregion = region_ds[rsel] |
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fregion = fregion.sort("r_regionkey") |
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jn1 = fregion.join( |
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nation_ds, |
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left_on="r_regionkey", |
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right_on="n_regionkey", |
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how="inner", |
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allow_duplication=True, |
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) |
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jn2 = jn1.join( |
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customer_ds, |
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left_on="n_nationkey", |
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right_on="c_nationkey", |
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how="inner", |
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allow_duplication=True, |
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) |
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jn3 = jn2.join( |
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forders, |
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left_on="c_custkey", |
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right_on="o_custkey", |
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how="inner", |
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allow_duplication=True, |
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) |
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jn4 = jn3.join( |
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line_item_ds, |
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left_on="o_orderkey", |
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right_on="l_orderkey", |
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how="inner", |
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allow_duplication=True, |
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) |
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jn5 = supplier_ds.join( |
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jn4, |
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left_on=["s_suppkey", "s_nationkey"], |
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right_on=["l_suppkey", "n_nationkey"], |
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how="inner", |
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allow_duplication=True, |
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) |
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jn5["revenue"] = jn5.l_extendedprice * (1.0 - jn5.l_discount) |
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gb = jn5.groupby("n_name").agg({"revenue": "sum"}) |
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result_df = gb.sort("revenue", ascending=False) |
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return result_df |
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utils.run_query(Q_NUM, query) |
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if __name__ == "__main__": |
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q() |
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