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import timeit |
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from importlib.metadata import version |
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from os.path import join |
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from typing import Any |
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import duckdb |
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import polars as pl |
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from duckdb import DuckDBPyRelation |
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from linetimer import CodeTimer, linetimer |
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from polars import testing as pl_test |
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from common_utils import ( |
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ANSWERS_BASE_DIR, |
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DATASET_BASE_DIR, |
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FILE_TYPE, |
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INCLUDE_IO, |
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LOG_TIMINGS, |
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SHOW_RESULTS, |
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append_row, |
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) |
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def _scan_ds(path: str): |
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path = f"{path}.{FILE_TYPE}" |
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if FILE_TYPE == "parquet": |
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if INCLUDE_IO: |
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duckdb.read_parquet(path) |
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return f"'{path}'" |
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else: |
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name = path.replace("/", "_").replace(".", "_") |
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duckdb.sql( |
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f"create temp table if not exists {name} as select * from read_parquet('{path}');" |
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) |
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return name |
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elif FILE_TYPE == "feather": |
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raise ValueError("duckdb does not support feather for now") |
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else: |
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raise ValueError(f"file type: {FILE_TYPE} not expected") |
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return path |
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def get_query_answer(query: int, base_dir: str = ANSWERS_BASE_DIR) -> pl.LazyFrame: |
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answer_ldf = pl.scan_csv( |
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join(base_dir, f"q{query}.out"), |
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separator="|", |
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has_header=True, |
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try_parse_dates=True, |
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) |
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cols = answer_ldf.columns |
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answer_ldf = answer_ldf.select( |
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[pl.col(c).alias(c.strip()) for c in cols] |
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).with_columns([pl.col(pl.datatypes.Utf8).str.strip().keep_name()]) |
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return answer_ldf |
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def test_results(q_num: int, result_df: pl.DataFrame): |
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with CodeTimer(name=f"Testing result of duckdb Query {q_num}", unit="s"): |
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answer = get_query_answer(q_num).collect() |
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pl_test.assert_frame_equal(left=result_df, right=answer, check_dtype=False) |
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def get_line_item_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "lineitem")) |
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def get_orders_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "orders")) |
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def get_customer_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "customer")) |
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def get_region_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "region")) |
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def get_nation_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "nation")) |
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def get_supplier_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "supplier")) |
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def get_part_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "part")) |
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def get_part_supp_ds(base_dir: str = DATASET_BASE_DIR) -> str: |
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return _scan_ds(join(base_dir, "partsupp")) |
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def run_query(q_num: int, context: DuckDBPyRelation): |
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@linetimer(name=f"Overall execution of duckdb Query {q_num}", unit="s") |
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def query(): |
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with CodeTimer(name=f"Get result of duckdb Query {q_num}", unit="s"): |
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t0 = timeit.default_timer() |
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result = context.pl() |
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secs = timeit.default_timer() - t0 |
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if LOG_TIMINGS: |
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append_row( |
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solution="duckdb", version=version("duckdb"), q=f"q{q_num}", secs=secs |
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) |
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else: |
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test_results(q_num, result) |
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if SHOW_RESULTS: |
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print(result) |
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query() |
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