| import pyarrow.parquet as pq | |
| import pyarrow as pa | |
| from pathlib import Path | |
| import numpy as np | |
| input_dir = Path("data/") | |
| output_dir = Path("data_sharded/") | |
| output_dir.mkdir(exist_ok=True) | |
| # Read all shards | |
| table = pq.read_table(input_dir) | |
| # Split into 64 shards | |
| indices = np.array_split(range(len(table)), 64) | |
| for i, idx in enumerate(indices): | |
| if len(idx) > 0: | |
| shard = table.slice(int(idx[0]), len(idx)) | |
| pq.write_table(shard, output_dir / f"shard_{i:04d}.parquet") | |