File size: 1,465 Bytes
6e1e6a7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | """
Stage 7: subset metadata/metadata_all.parquet to only POIs in the clean benchmark.
Output: cross_city_benchmark_clean/metadata/metadata_all.parquet
"""
import duckdb, time, os
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/metadata/metadata_all.parquet"
POIS = ROOT / "pois.parquet"
OUT = ROOT / "metadata" / "metadata_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='32GB'")
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:,} clean POIs to keep")
step(f"streaming subset of {SRC} ...")
con.execute(f"""
COPY (
SELECT m.* FROM '{SRC}' m
SEMI JOIN keep_ids k USING (fsq_place_id)
) TO '{OUT}' (FORMAT PARQUET, COMPRESSION 'zstd', ROW_GROUP_SIZE 200000)
""")
n_out = con.execute(f"SELECT COUNT(*) FROM '{OUT}'").fetchone()[0]
sz = OUT.stat().st_size / 1e6
print()
print("=== Stage 7 output ===")
print(f" file: {OUT} ({sz:.1f} MB)")
print(f" metadata rows: {n_out:,} of {n_keep:,} POIs ({n_out/n_keep*100:.1f}% covered)")
print(f" total elapsed: {time.time()-t0:.1f}s")
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