| from datetime import datetime | |
| import polars as pl | |
| from polars_queries import utils | |
| Q_NUM = 5 | |
| def q(): | |
| var_1 = "ASIA" | |
| var_2 = datetime(1994, 1, 1) | |
| var_3 = datetime(1995, 1, 1) | |
| region_ds = utils.get_region_ds() | |
| nation_ds = utils.get_nation_ds() | |
| customer_ds = utils.get_customer_ds() | |
| line_item_ds = utils.get_line_item_ds() | |
| orders_ds = utils.get_orders_ds() | |
| supplier_ds = utils.get_supplier_ds() | |
| q_final = ( | |
| region_ds.join(nation_ds, left_on="r_regionkey", right_on="n_regionkey") | |
| .join(customer_ds, left_on="n_nationkey", right_on="c_nationkey") | |
| .join(orders_ds, left_on="c_custkey", right_on="o_custkey") | |
| .join(line_item_ds, left_on="o_orderkey", right_on="l_orderkey") | |
| .join( | |
| supplier_ds, | |
| left_on=["l_suppkey", "n_nationkey"], | |
| right_on=["s_suppkey", "s_nationkey"], | |
| ) | |
| .filter(pl.col("r_name") == var_1) | |
| .filter(pl.col("o_orderdate").is_between(var_2, var_3, closed="left")) | |
| .with_columns( | |
| (pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias("revenue") | |
| ) | |
| .group_by("n_name") | |
| .agg([pl.sum("revenue")]) | |
| .sort(by="revenue", descending=True) | |
| ) | |
| utils.run_query(Q_NUM, q_final) | |
| if __name__ == "__main__": | |
| q() | |