File size: 1,951 Bytes
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Stage 8: subset reviews/reviews_all.parquet to only POIs in the clean benchmark.
Source v1 reviews/ contains six per-source parquet files plus a unified
reviews_all.parquet (~13 GB). We only re-emit the unified file -- it's
the only one downstream pipelines actually read (reviews_*.parquet glob
matches reviews_all.parquet so it's de-facto the canonical).
"""
import duckdb, time
from pathlib import Path
ROOT = Path("/scratch/peibo/RQ3/Data/data/processed/cross_city_benchmark_clean")
SRC = "/scratch/peibo/RQ3/Data/data/processed/cross_city_benchmark/reviews/reviews_all.parquet"
POIS = ROOT / "pois.parquet"
OUT = ROOT / "reviews" / "reviews_all.parquet"
OUT.parent.mkdir(parents=True, exist_ok=True)
t0 = time.time()
def step(msg): print(f"[{time.time()-t0:6.1f}s] {msg}", flush=True)
con = duckdb.connect()
con.execute("PRAGMA threads=32")
con.execute("SET memory_limit='48GB'")
con.execute("SET preserve_insertion_order=false")
con.execute("SET temp_directory='/scratch/peibo/duckdb_tmp'")
step(f"reading clean POI universe from {POIS}")
con.execute(f"CREATE TABLE keep_ids AS SELECT fsq_place_id FROM '{POIS}'")
n_keep = con.execute("SELECT COUNT(*) FROM keep_ids").fetchone()[0]
step(f" {n_keep:,} POIs to keep")
step(f"streaming + filtering {SRC} ... (this takes a few minutes)")
con.execute(f"""
COPY (
SELECT r.* FROM '{SRC}' r
SEMI JOIN keep_ids k USING (fsq_place_id)
) TO '{OUT}' (FORMAT PARQUET, COMPRESSION 'zstd', ROW_GROUP_SIZE 200000)
""")
n_rev = con.execute(f"SELECT COUNT(*) FROM '{OUT}'").fetchone()[0]
n_pois_with_reviews = con.execute(
f"SELECT COUNT(DISTINCT fsq_place_id) FROM '{OUT}'").fetchone()[0]
sz = OUT.stat().st_size / 1e6
print()
print("=== Stage 8 output ===")
print(f" file: {OUT} ({sz/1024:.2f} GB)")
print(f" reviews: {n_rev:,}")
print(f" POIs with reviews: {n_pois_with_reviews:,} of {n_keep:,}")
print(f" total elapsed: {time.time()-t0:.1f}s")
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