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from datetime import datetime |
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from fireducks_queries import utils |
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Q_NUM = 3 |
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def q(): |
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var1 = var2 = datetime(1995, 3, 15) |
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var3 = "BUILDING" |
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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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customer_ds() |
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line_item_ds() |
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orders_ds() |
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def query(): |
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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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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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lineitem_filtered = line_item_ds.loc[ |
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:, ["l_orderkey", "l_extendedprice", "l_discount", "l_shipdate"] |
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] |
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orders_filtered = orders_ds.loc[ |
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:, ["o_orderkey", "o_custkey", "o_orderdate", "o_shippriority"] |
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] |
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customer_filtered = customer_ds.loc[:, ["c_mktsegment", "c_custkey"]] |
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lsel = lineitem_filtered.l_shipdate > var1 |
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osel = orders_filtered.o_orderdate < var2 |
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csel = customer_filtered.c_mktsegment == var3 |
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flineitem = lineitem_filtered[lsel] |
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forders = orders_filtered[osel] |
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fcustomer = customer_filtered[csel] |
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jn1 = fcustomer.merge(forders, left_on="c_custkey", right_on="o_custkey") |
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jn2 = jn1.merge(flineitem, left_on="o_orderkey", right_on="l_orderkey") |
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jn2["revenue"] = jn2.l_extendedprice * (1 - jn2.l_discount) |
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total = ( |
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jn2.groupby( |
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["l_orderkey", "o_orderdate", "o_shippriority"], as_index=False |
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)["revenue"] |
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.sum() |
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.sort_values(["revenue"], ascending=False) |
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) |
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result_df = total[:10].loc[ |
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:, ["l_orderkey", "revenue", "o_orderdate", "o_shippriority"] |
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] |
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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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