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多进程读取多个数据文件
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from glob import glob | |
import multiprocessing | |
from tqdm import tqdm | |
import pandas as pd | |
def json_reader(fname): | |
df = pd.read_json(fname, lines=True) | |
return df | |
def parquet_reader(fname): | |
part_df = pd.read_parquet(fname) # .query('has_exposure==1') | |
return part_df | |
# filenames = glob('data/dt=2020-04-01/part*') | |
pool = multiprocessing.Pool(10) | |
callbacks = [] | |
pbar = tqdm(total=len(filenames)) | |
for fname in filenames: | |
callbacks.append(pool.apply_async(parquet_reader, args=(fname, ), callback=lambda _: pbar.update(1))) | |
pool.close() | |
pool.join() | |
df = pd.concat([cb.get() for cb in callbacks], ignore_index=True, sort=True, copy=False) | |
pool.terminate() |
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