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Download verify/loads.py from misatadata/retail-star-answer-key: direct link, hf CLI and curl.
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https://huggingface.co/datasets/misatadata/retail-star-answer-key/resolve/main/verify/loads.py
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hf download hf://datasets/misatadata/retail-star-answer-key/verify/loads.py
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curl -L -o loads.py https://huggingface.co/datasets/misatadata/retail-star-answer-key/resolve/main/verify/loads.py
4.44 kB
| """Load the files into ClickHouse twice, from Parquet and from CSV, and check both loads hold what the files hold: row | |
| counts against data/ROWCOUNTS, NULLs per column against the Parquet files, and the same hash of every row's values in | |
| both loads. Writes reports/loads.json and exits 1 if any check fails. | |
| CLICKHOUSE_CLIENT="clickhouse-client" python verify/loads.py [--parquet-db retail] [--csv-db retail_csv] | |
| The ClickHouse HTTP interface is read as verify/engines.py reads it (CLICKHOUSE_URL, CLICKHOUSE_USER, CLICKHOUSE_PASSWORD). | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| import os | |
| import subprocess | |
| import sys | |
| from pathlib import Path | |
| import pyarrow.parquet as pq | |
| sys.path.insert(0, str(Path(__file__).resolve().parent)) | |
| from engines import TABLES, ClickHouse # noqa: E402 | |
| ROOT = Path(__file__).resolve().parent.parent | |
| def load(fmt: str, db: str, data: Path) -> str: | |
| env = {**os.environ, "CH_DATABASE": db, "DATA_DIR": str(data)} | |
| done = subprocess.run([str(ROOT / "clickhouse" / "load.sh"), fmt, "--reset"], env=env, stdin=subprocess.DEVNULL, capture_output=True, text=True) | |
| if done.returncode: | |
| raise SystemExit(f"{fmt} load into {db} failed:\n{done.stdout}{done.stderr}") | |
| return done.stdout | |
| def rows(ch: ClickHouse, sql: str) -> list[dict]: | |
| return json.loads(ch._post(sql + " FORMAT JSON"))["data"] | |
| def times(ch: ClickHouse, db: str) -> dict[str, dict]: | |
| return {r["table_name"]: {"rows": int(r["rows"]), "seconds": float(r["seconds"])} | |
| for r in rows(ch, f"SELECT table_name, rows, seconds FROM {db}._retail_loads")} | |
| def content(ch: ClickHouse, db: str, table: str) -> dict: | |
| """Row count, NULLs per nullable column, and an order-free hash of every row's values.""" | |
| cols = rows(ch, f"SELECT name, type FROM system.columns WHERE database = '{db}' AND table = '{table}' ORDER BY position") | |
| nullable = [c["name"] for c in cols if "Nullable" in c["type"]] | |
| nulls = ", ".join(f"countIf(isNull(`{c}`)) AS `{c}`" for c in nullable) | |
| r = rows(ch, f"SELECT count() AS n, toString(sum(cityHash64(*))) AS h{', ' + nulls if nulls else ''} FROM {db}.{table}")[0] | |
| return {"rows": int(r.pop("n")), "hash": r.pop("h"), "nulls": {k: int(v) for k, v in r.items()}} | |
| def file_nulls(path: Path) -> dict[str, int]: | |
| t = pq.read_table(path) | |
| return {name: t.column(name).null_count for name in t.column_names if t.column(name).null_count} | |
| def main() -> None: | |
| ap = argparse.ArgumentParser() | |
| ap.add_argument("--parquet-db", default="retail") | |
| ap.add_argument("--csv-db", default="retail_csv") | |
| ap.add_argument("--data", type=Path, default=ROOT / "data") | |
| ap.add_argument("--out", type=Path, default=ROOT / "reports" / "loads.json") | |
| a = ap.parse_args() | |
| ch = ClickHouse(database="default") | |
| expected = dict(line.split() for line in (a.data / "ROWCOUNTS").read_text().splitlines() if line.strip()) | |
| out = {"clickhouse": ch.version(), "times": {}, "checks": {}} | |
| seen = {} | |
| for fmt, db in (("parquet", a.parquet_db), ("csv", a.csv_db)): | |
| ClickHouse(database="default")._post(f"CREATE DATABASE IF NOT EXISTS {db}") | |
| print(load(fmt, db, a.data), end="") | |
| out["times"][fmt] = times(ch, db) | |
| seen[fmt] = {t: content(ch, db, t) for t in TABLES} | |
| ok = True | |
| for t in TABLES: | |
| p, c = seen["parquet"][t], seen["csv"][t] | |
| want = file_nulls(a.data / "parquet" / f"{t}.parquet") | |
| check = {"rows_expected": int(expected[t]), "rows_parquet_load": p["rows"], "rows_csv_load": c["rows"], | |
| "nulls_in_file": want, "nulls_parquet_load": {k: v for k, v in p["nulls"].items() if v}, | |
| "nulls_csv_load": {k: v for k, v in c["nulls"].items() if v}, "same_rows_both_loads": p["hash"] == c["hash"]} | |
| check["passed"] = (p["rows"] == c["rows"] == check["rows_expected"] and check["same_rows_both_loads"] | |
| and check["nulls_parquet_load"] == want == check["nulls_csv_load"]) | |
| ok &= check["passed"] | |
| out["checks"][t] = check | |
| print(f"{t:13} rows {p['rows']:>10,} NULLs {sum(want.values()):>7,} both loads equal: {'yes' if check['passed'] else 'NO'}") | |
| out["passed"] = ok | |
| a.out.parent.mkdir(parents=True, exist_ok=True) | |
| a.out.write_text(json.dumps(out, indent=1)) | |
| print("load test", "passes" if ok else "FAILS") | |
| sys.exit(0 if ok else 1) | |
| if __name__ == "__main__": | |
| main() | |