小编Abe*_*lot的帖子

对于较大文件的解析，我需要循环写入大量的parquet文件。但是，此任务消耗的内存似乎在每次迭代中都会增加，而我希望它保持不变（因为不应在内存中附加任何内容）。这使得扩展变得棘手。

我添加了一个最小的可重现示例，它创建了 10 000 个镶木地板和循环附加到它。

import resource
import random
import string
import pyarrow as pa
import pyarrow.parquet as pq
import pandas as pd


def id_generator(size=6, chars=string.ascii_uppercase + string.digits):
    return ''.join(random.choice(chars) for _ in range(size))

schema = pa.schema([
                        pa.field('test', pa.string()),
                    ])

resource.setrlimit(resource.RLIMIT_NOFILE, (1000000, 1000000))
number_files = 10000
number_rows_increment = 1000
number_iterations = 100

writers = [pq.ParquetWriter('test_'+id_generator()+'.parquet', schema) for i in range(number_files)]

for i in range(number_iterations):
    for writer in writers:
        table_to_write = pa.Table.from_pandas(
                            pd.DataFrame({'test': [id_generator() for i in range(number_rows_increment)]}),
                            preserve_index=False,
                            schema = …