[我的previous thread被标记为duplicate后,它向多处理管理器方向。我正在尝试使用多重处理来创建一个服务,该服务处理我的熊猫数据框以提供给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,这在尝试调用manager.get_df()
中的data_handler.py
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!
---------------------------------------------------------------------------
向正确方向提供的任何帮助将不胜感激!
EDIT:这似乎是由DataFrames引起的,因为返回df.to_json()
而不是只返回df
中的df_manager.py
似乎很好。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。
此问题由exposing
通过BaseManager
使用的代理解决了相关方法。这可以在register
中的data_handler.py
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())