| import numpy as np |
|
|
| from vaex_queries import utils |
|
|
| Q_NUM = 1 |
| import vaex.cache |
|
|
|
|
| def q(): |
| VAR1 = np.datetime64("1998-09-02") |
|
|
| lineitem = utils.get_line_item_ds |
| |
| lineitem() |
|
|
| def query(): |
| with vaex.cache.memory(): |
| nonlocal lineitem |
| lineitem = lineitem() |
|
|
| lineitem_filtered = lineitem[ |
| [ |
| "l_quantity", |
| "l_extendedprice", |
| "l_discount", |
| "l_tax", |
| "l_returnflag", |
| "l_linestatus", |
| "l_shipdate", |
| "l_orderkey", |
| ] |
| ] |
| sel = lineitem_filtered.l_shipdate <= VAR1 |
| lineitem_filtered = lineitem_filtered[sel] |
| lineitem_filtered["sum_qty"] = lineitem_filtered.l_quantity |
| lineitem_filtered["sum_base_price"] = lineitem_filtered.l_extendedprice |
| lineitem_filtered["avg_qty"] = lineitem_filtered.l_quantity |
| lineitem_filtered["avg_price"] = lineitem_filtered.l_extendedprice |
| lineitem_filtered["sum_disc_price"] = lineitem_filtered.l_extendedprice * ( |
| 1 - lineitem_filtered.l_discount |
| ) |
| lineitem_filtered["sum_charge"] = ( |
| lineitem_filtered.l_extendedprice |
| * (1 - lineitem_filtered.l_discount) |
| * (1 + lineitem_filtered.l_tax) |
| ) |
| lineitem_filtered["avg_disc"] = lineitem_filtered.l_discount |
| lineitem_filtered["count_order"] = lineitem_filtered.l_orderkey |
| total = lineitem_filtered.groupby( |
| ["l_returnflag", "l_linestatus"], |
| agg={ |
| "sum_qty": "sum", |
| "sum_base_price": "sum", |
| "sum_disc_price": "sum", |
| "sum_charge": "sum", |
| "avg_qty": "mean", |
| "avg_price": "mean", |
| "avg_disc": "mean", |
| "count_order": "count", |
| }, |
| ) |
|
|
| result_df = total.sort(["l_returnflag", "l_linestatus"]) |
| return result_df |
|
|
| utils.run_query(Q_NUM, query) |
|
|
|
|
| if __name__ == "__main__": |
| q() |
|
|
