Hello,
Thank you for your question. I understand that you have an issue with
multiprocessing in your application, not on the local machine and there are
no logs. You used the following code to fix the problem:
1. from multiprocessing.dummy import Pool
pool = Pool(2)
pool.apply_async(call_api,xxxx)
2. import concurrent.futures
import requests
pool = concurrent.futures.ThreadPoolExecutor(max_workers=4)
pool.submit(lambda:requests.post(xxxxxx))
You posted to the App Engine Google Groups forum. From the description, I
am unable to fully understand what the issue is. Can you please provide
additional detail? Also, for the benefit of the community, can you please
add comments to the code that indicates what it means to you, which will
help us to offer you advice on the issue you are encountering? I understand
that non running code can be tricky to troubleshoot.
I was able to find this link to the Stackoverflow
<https://stackoverflow.com/questions/51159341/python-concurrent-futures-run-threads-in-pool-until-a-result-is-found>
article after looking at your code. It describes how the author wants to
run threads in a ThreadPoolExecutor until one of them gives a result. The
answer indicates to keep checking each future in the sequence until it is
found.
Google Groups is meant for general discussion about Google products and
services but we will do our best to help.
On Friday, June 11, 2021 at 10:26:47 AM UTC-4 [email protected] wrote:
> Hi Friends,
>
> We are stuck with a issue related to multiprocessing. We tried to use
> multiple solutions like below.
> 1. from multiprocessing.dummy import Pool
> pool = Pool(2)
> pool.apply_async(call_api,xxxx)
> 2. import concurrent.futures
> import requests
> pool = concurrent.futures.ThreadPoolExecutor(max_workers=4)
> pool.submit(lambda:requests.post(xxxxxx))
>
> above given both solutions are working in my local system, when when
> deploying this functionality is not working, even not getting any error in
> logs.
>
> can you please help me to understand, why this is not working and what
> else we can use.
>
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