| import timeit |
| from os.path import join |
| from typing import Callable |
|
|
| import vaex |
| from linetimer import CodeTimer, linetimer |
| from vaex.dataframe import DataFrame |
|
|
| from common_utils import ( |
| ANSWERS_BASE_DIR, |
| DATASET_BASE_DIR, |
| FILE_TYPE, |
| LOG_TIMINGS, |
| SHOW_RESULTS, |
| append_row, |
| on_second_call, |
| ) |
|
|
|
|
| def _read_ds(path: str) -> DataFrame: |
| path = f"{path}.{FILE_TYPE}" |
| return vaex.open(path) |
|
|
|
|
| def get_query_answer(query: int, base_dir: str = ANSWERS_BASE_DIR) -> DataFrame: |
| import pandas as pd |
|
|
| answer_df = pd.read_csv( |
| join(base_dir, f"q{query}.out"), |
| sep="|", |
| parse_dates=True, |
| infer_datetime_format=True, |
| ) |
| return answer_df.rename(columns=lambda x: x.strip()) |
|
|
|
|
| def test_results(q_num: int, result_df: DataFrame): |
| with CodeTimer(name=f"Testing result of modin Query {q_num}", unit="s"): |
| result_df = result_df.to_pandas_df() |
| import pandas as pd |
|
|
| answer = get_query_answer(q_num) |
|
|
| for c, t in answer.dtypes.items(): |
| s1 = result_df[c] |
| s2 = answer[c] |
|
|
| if t.name == "object": |
| s1 = s1.astype("string").apply(lambda x: x.strip()) |
| s2 = s2.astype("string").apply(lambda x: x.strip()) |
|
|
| pd.testing.assert_series_equal(left=s1, right=s2, check_index=False) |
|
|
|
|
| @on_second_call |
| def get_line_item_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "lineitem")) |
|
|
|
|
| @on_second_call |
| def get_orders_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "orders")) |
|
|
|
|
| @on_second_call |
| def get_customer_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "customer")) |
|
|
|
|
| @on_second_call |
| def get_region_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "region")) |
|
|
|
|
| @on_second_call |
| def get_nation_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "nation")) |
|
|
|
|
| @on_second_call |
| def get_supplier_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "supplier")) |
|
|
|
|
| @on_second_call |
| def get_part_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "part")) |
|
|
|
|
| @on_second_call |
| def get_part_supp_ds(base_dir: str = DATASET_BASE_DIR) -> DataFrame: |
| return _read_ds(join(base_dir, "partsupp")) |
|
|
|
|
| def run_query(q_num: int, query: Callable): |
| @linetimer(name=f"Overall execution of vaex Query {q_num}", unit="s") |
| def run(): |
| with CodeTimer(name=f"Get result of vaex Query {q_num}", unit="s"): |
| t0 = timeit.default_timer() |
|
|
| if LOG_TIMINGS: |
| try: |
| result = query() |
| success = True |
| except Exception as e: |
| print(f"vaex failed: {e}") |
| success = False |
| else: |
| result = query() |
| success = True |
|
|
| secs = timeit.default_timer() - t0 |
|
|
| if LOG_TIMINGS: |
| append_row( |
| solution=f"vaex_{FILE_TYPE}", |
| version=vaex.__version__["vaex"], |
| q=f"q{q_num}", |
| secs=secs, |
| success=success, |
| ) |
| elif success: |
| test_results(q_num, result) |
|
|
| if SHOW_RESULTS: |
| print(result) |
|
|
| run() |
|
|