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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()