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import datetime |
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from dask_queries import utils |
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Q_NUM = 5 |
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def q(): |
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date1 = datetime.datetime.strptime("1994-01-01", "%Y-%m-%d") |
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date2 = datetime.datetime.strptime("1995-01-01", "%Y-%m-%d") |
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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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jn1 = fregion.merge(nation_ds, left_on="r_regionkey", right_on="n_regionkey") |
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jn2 = jn1.merge(customer_ds, left_on="n_nationkey", right_on="c_nationkey") |
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jn3 = jn2.merge(forders, left_on="c_custkey", right_on="o_custkey") |
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jn4 = jn3.merge(line_item_ds, left_on="o_orderkey", right_on="l_orderkey") |
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jn5 = supplier_ds.merge( |
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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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) |
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jn5["revenue"] = jn5.l_extendedprice * (1.0 - jn5.l_discount) |
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gb = jn5.groupby("n_name")["revenue"].sum() |
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result_df = gb.compute().reset_index().sort_values("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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