pandas + multiprocessing: "NotImplementedError: Not supported for DataFrames!"

Question

在我的 previous thread was marked as a 之后，它为我指明了多进程管理器的方向。我正在尝试使用多处理来创建一个服务来处理我的 pandas 数据帧以提供给 Flask 请求。到目前为止，这是我的代码：

df_manager.py

from multiprocessing.managers import BaseManager
import pandas as pd

def init_dataframe():
    return pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})

def get_df():
    return df

df = init_dataframe()
manager = BaseManager(('', 37844), b'password')
manager.register('get_df', get_df)
server = manager.get_server()
server.serve_forever()

data_handler.py

from multiprocessing.managers import BaseManager
import pandas as pd

def get_df():
    manager = BaseManager(('', 37844), b'password')
    manager.register('get_df')
    manager.connect()
    return manager.get_df()

def data():
    df = get_df()
    return df.to_dict()

if __name__ == '__main__':
    data()

不幸的是，这会在尝试调用 data_handler.py 中的 manager.get_df() 时引发异常。

Traceback (most recent call last):
  File "src/data_handler.py", line 15, in <module>
    data()
  File "src/data_handler.py", line 11, in data
    df = get_df()
  File "src/data_handler.py", line 8, in get_df
    return manager.get_df()
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 724, in temp
    token, exp = self._create(typeid, *args, **kwds)
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 609, in _create
    id, exposed = dispatch(conn, None, 'create', (typeid,)+args, kwds)
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 82, in dispatch
    raise convert_to_error(kind, result)
multiprocessing.managers.RemoteError: 
---------------------------------------------------------------------------
Traceback (most recent call last):
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 201, in handle_request
    result = func(c, *args, **kwds)
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 391, in create
    exposed = public_methods(obj)
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 122, in public_methods
    return [name for name in all_methods(obj) if name[0] != '_']
  File "/usr/lib/python3.7/multiprocessing/managers.py", line 113, in all_methods
    func = getattr(obj, name)
  File "/home/admin/dev/pandas-multiprocessing/venv/lib/python3.7/site-packages/pandas/core/frame.py", line 392, in _constructor_expanddim
    raise NotImplementedError("Not supported for DataFrames!")
NotImplementedError: Not supported for DataFrames!
---------------------------------------------------------------------------

任何正确方向的帮助将不胜感激！

编辑：这似乎是由 DataFrames 引起的，因为返回 df.to_json() 而不是 df_manager.py 中的 df 似乎有效美好的。仍在调查中...

EDIT2：我已经更新了代码以删除 Flask 依赖项，因为它似乎与它无关。

Git repo

Answer 1

此问题已由 exposing BaseManager 使用的代理的相关方法修复。这可以在 data_handler.py 中的 register 调用中完成。

df_manager.py

from multiprocessing.managers import BaseManager
import pandas as pd

def init_dataframe():
    return pd.DataFrame(data={'col1': [1, 2], 'col2': [3, 4]})

def get_df():
    return df

df = init_dataframe()
manager = BaseManager(('', 37844), b'password')
manager.register('get_df', callable=get_df, exposed='get_df') # Adding `exposed` parameter was the key to solving the issue
server = manager.get_server()
server.serve_forever()

data_handler.py

from multiprocessing.managers import BaseManager
import pandas as pd

def get_df():
    manager = BaseManager(('', 37844), b'password')
    manager.register('get_df')
    manager.connect()
    return manager.get_df()

def data():
    df = get_df()
    return df

if __name__ == '__main__':
    print(data())

pandas + multiprocessing: "NotImplementedError: Not supported for DataFrames!"

pandas + multiprocessing: "NotImplementedError: Not supported for DataFrames!"

python

pandas

flask

python-multiprocessing

multiprocessing-manager