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3.37 kB
| """Parallel split of sorted index parquets into parts < 50 GB for HTTP upload to HF. | |
| Windows Xet upload stalls on large files; the HTTP fallback caps at 50 GB/file. | |
| Parts preserve sorted order (contiguous row-group ranges), so DuckDB zone-map | |
| pruning still works across parts. Multiprocessing (N_WORKERS) since pyarrow's | |
| writer is mostly single-threaded. Resumable: existing completed parts are skipped. | |
| """ | |
| import multiprocessing as mp | |
| import os | |
| import time | |
| import pyarrow.parquet as pq | |
| BASE = os.path.dirname(os.path.abspath(__file__)) | |
| # budget on UNCOMPRESSED size; SNAPPY output lands well under the 50 GB cap | |
| TARGET_UNCOMPRESSED = 45 * 1024**3 | |
| N_WORKERS = 5 | |
| BATCH_GROUPS = 100 # row groups read per batch (~1-3 GiB in RAM) | |
| JOBS = ["idx_phone.parquet", "idx_aadhar.parquet"] | |
| def plan_partitions(sizes, target): | |
| """Split row-group size list into (start, end) buckets each ~target bytes.""" | |
| parts = [] | |
| acc = 0 | |
| start = 0 | |
| for i, s in enumerate(sizes): | |
| acc += s | |
| if acc >= target and i - start > 200: # at least 200 row groups per part | |
| parts.append((start, i + 1)) | |
| start = i + 1 | |
| acc = 0 | |
| if start < len(sizes): | |
| parts.append((start, len(sizes))) | |
| return parts | |
| def split_one(src, pi, a, b): | |
| out = f"{os.path.splitext(src)[0]}.{pi}.parquet" | |
| if os.path.exists(out) and os.path.getsize(out) > 0: | |
| print(f" {out} exists, skip", flush=True) | |
| return | |
| tmp = out + ".tmp" | |
| if os.path.exists(tmp): | |
| os.remove(tmp) | |
| t0 = time.time() | |
| pf = pq.ParquetFile(src) | |
| with pq.ParquetWriter(tmp, pf.schema_arrow, compression="snappy", | |
| use_dictionary=True, data_page_version="2.0", | |
| version="2.6") as w: | |
| g = a | |
| while g < b: | |
| g2 = min(g + BATCH_GROUPS, b) | |
| w.write_table(pf.read_row_groups(list(range(g, g2)))) | |
| g = g2 | |
| os.rename(tmp, out) | |
| print(f" DONE {out} ({os.path.getsize(out)/1073741824:.1f} GiB) " | |
| f"in {time.time()-t0:.0f}s", flush=True) | |
| def worker(wid, tasklist): | |
| for src, pi, a, b in tasklist: | |
| print(f"[w{wid}] start {src} part {pi} (groups {a}-{b})", flush=True) | |
| try: | |
| split_one(src, pi, a, b) | |
| except Exception as e: | |
| print(f"[w{wid}] FAIL {src} part {pi}: {e}", flush=True) | |
| def main(): | |
| jobs = [] # (src, [(a,b), ...]) | |
| for src in JOBS: | |
| if not os.path.exists(src): | |
| print(f"SKIP {src}: not found", flush=True) | |
| continue | |
| pf = pq.ParquetFile(src) | |
| sizes = [pf.metadata.row_group(i).total_byte_size | |
| for i in range(pf.num_row_groups)] | |
| boundaries = plan_partitions(sizes, TARGET_UNCOMPRESSED) | |
| print(f"{src}: {pf.num_row_groups} row groups, " | |
| f"{sum(sizes)/1073741824:.1f} GiB uncompressed -> " | |
| f"{len(boundaries)} parts", flush=True) | |
| jobs.append((src, boundaries)) | |
| flat = [(src, i, a, b) | |
| for src, bnd in jobs for i, (a, b) in enumerate(bnd)] | |
| procs = [] | |
| for wi in range(N_WORKERS): | |
| mine = flat[wi::N_WORKERS] | |
| p = mp.Process(target=worker, args=(wi, mine)) | |
| p.start() | |
| procs.append(p) | |
| for p in procs: | |
| p.join() | |
| print("ALL DONE", flush=True) | |
| if __name__ == "__main__": | |
| main() | |