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from datetime import datetime |
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import polars as pl |
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from polars_queries import utils |
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Q_NUM = 8 |
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def q(): |
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part_ds = utils.get_part_ds() |
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supplier_ds = utils.get_supplier_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 = utils.get_customer_ds() |
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nation_ds = utils.get_nation_ds() |
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region_ds = utils.get_region_ds() |
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n1 = nation_ds.select(["n_nationkey", "n_regionkey"]) |
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n2 = nation_ds.clone().select(["n_nationkey", "n_name"]) |
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q_final = ( |
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part_ds.join(line_item_ds, left_on="p_partkey", right_on="l_partkey") |
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.join(supplier_ds, left_on="l_suppkey", right_on="s_suppkey") |
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.join(orders_ds, left_on="l_orderkey", right_on="o_orderkey") |
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.join(customer_ds, left_on="o_custkey", right_on="c_custkey") |
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.join(n1, left_on="c_nationkey", right_on="n_nationkey") |
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.join(region_ds, left_on="n_regionkey", right_on="r_regionkey") |
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.filter(pl.col("r_name") == "AMERICA") |
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.join(n2, left_on="s_nationkey", right_on="n_nationkey") |
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.filter( |
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pl.col("o_orderdate").is_between( |
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datetime(1995, 1, 1), datetime(1996, 12, 31) |
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) |
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) |
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.filter(pl.col("p_type") == "ECONOMY ANODIZED STEEL") |
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.select( |
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[ |
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pl.col("o_orderdate").dt.year().alias("o_year"), |
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(pl.col("l_extendedprice") * (1 - pl.col("l_discount"))).alias( |
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"volume" |
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), |
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pl.col("n_name").alias("nation"), |
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] |
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) |
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.with_columns( |
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pl.when(pl.col("nation") == "BRAZIL") |
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.then(pl.col("volume")) |
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.otherwise(0) |
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.alias("_tmp") |
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) |
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.group_by("o_year") |
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.agg((pl.sum("_tmp") / pl.sum("volume")).round(2).alias("mkt_share")) |
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.sort("o_year") |
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) |
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utils.run_query(Q_NUM, q_final) |
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if __name__ == "__main__": |
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q() |
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