I want to make my class method runs parallel, but it only produces some kind of error that I can not solve. My code is:
import concurrent.futures as futures
samples = ['asfd', 'zxcv', 'asf', 'qwer']
class test:
def __init__(self, samples):
maturedb = {}
with futures.ProcessPoolExecutor() as exe:
for samplename, dResult in exe.map(self.make_readdb, samples):
maturedb[samplename] = dResult
print(maturedb)
def make_readdb(self, samplename):
return samplename, 1
test(samples)
If I run this code in Ubuntu machine, an Error like below occurs:
Traceback (most recent call last):
File "/usr/lib/python3.2/multiprocessing/queues.py", line 272, in _feedsend(obj)
_pickle.PicklingError: Can't pickle <class 'method'>: attribute lookup builtins.method failed
The method make_readdb
is just simplified to make an example, but it is an bottleneck in real code and
I need to make it parallel.
From the docs:
The ProcessPoolExecutor class is an Executor subclass that uses a pool of processes to execute calls asynchronously. ProcessPoolExecutor uses the multiprocessing module, which allows it to side-step the Global Interpreter Lock but also means that only picklable objects can be executed and returned.
Try a ThreadPoolExecutor
I looked over your code again, the problem is that the function - make_readdb
- is a member of the class test
. Can you refactor and pull this function out?
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