import timeit from os.path import join from typing import Callable import ibis import pandas as pd from linetimer import CodeTimer, linetimer from pandas.core.frame import DataFrame as PandasDF from common_utils import ( ANSWERS_BASE_DIR, DATASET_BASE_DIR, FILE_TYPE, LOG_TIMINGS, SHOW_RESULTS, append_row, on_second_call, ) BACKEND = str(ibis.get_backend()).split(".")[2] def _read_ds(path: str) -> PandasDF: path = f"{path}.{FILE_TYPE}" if FILE_TYPE == "parquet": return ibis.read_parquet(path) # elif FILE_TYPE == "feather": # return pd.read_feather(path) else: raise ValueError(f"file type: {FILE_TYPE} not expected") def get_query_answer(query: int, base_dir: str = ANSWERS_BASE_DIR) -> PandasDF: if BACKEND == "pandas": answer_df = ibis.read_csv( join(base_dir, f"q{query}.out"), sep="|", parse_dates=True, infer_datetime_format=True, ) elif BACKEND == "polars": answer_df = ibis.read_csv( join(base_dir, f"q{query}.out"), separator="|", has_header=True, try_parse_dates=True, ) renamed_columns = {col: col.strip() for col in answer_df.columns} return answer_df.relabel(renamed_columns).execute() def test_results(q_num: int, result_df: PandasDF): with CodeTimer(name=f"Testing result of pandas Query {q_num}", unit="s"): 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) -> PandasDF: return _read_ds(join(base_dir, "lineitem")) @on_second_call def get_orders_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "orders")) @on_second_call def get_customer_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "customer")) @on_second_call def get_region_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "region")) @on_second_call def get_nation_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "nation")) @on_second_call def get_supplier_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "supplier")) @on_second_call def get_part_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "part")) @on_second_call def get_part_supp_ds(base_dir: str = DATASET_BASE_DIR) -> PandasDF: return _read_ds(join(base_dir, "partsupp")) # def run_query(q_num: int, query: Callable): # @linetimer(name=f"Overall execution of pandas Query {q_num}", unit="s") # def run(): # with CodeTimer(name=f"Get result of pandas Query {q_num}", unit="s"): # t0 = timeit.default_timer() # result = query().execute() # secs = timeit.default_timer() - t0 # if LOG_TIMINGS: # append_row( # solution="pandas", version=pd.__version__, q=f"q{q_num}", secs=secs # ) # else: # test_results(q_num, result) # # pass # if SHOW_RESULTS: # print(result) # run() def run_query(q_num: int, lp): @linetimer(name=f"Overall execution of ibis Query {q_num}", unit="s") def query(): # if SHOW_PLAN: # print(lp.explain()) with CodeTimer(name=f"Get result of ibis Query {q_num}", unit="s"): t0 = timeit.default_timer() result = lp.execute() secs = timeit.default_timer() - t0 if LOG_TIMINGS: pass # append_row( # solution="polars", version=pl.__version__, q=f"q{q_num}", secs=secs # ) else: test_results(q_num, result) if SHOW_RESULTS: print(result) query()