A boilerplate to use multiprocessing for your gRPC server in your Python project
This repo is a boilerplate showing how you can use multiprocessing with gRPC in python.
This project offers a minimum reproducible example of clients sending batches of images to gRPC servers.
The client.py starts a pool of several gRPC channel. Each of those clients process send a batch to one of the gRPC server
in parallel.
Copy the .env.example file into a .env file, adjust the NUM_IMAGES and NUM_WORKERS variables
and start playing around by typing
git clone [email protected]:fpaupier/gRPC-multiprocessing.git && cd gRPC-multiprocessing
cp .env.example .env # adjust the nº of workers as you wish
docker-compose run client
# INFO [/usr/app/client.py:126]: OCR Test client started.
# INFO [/usr/app/client.py:115]: Reading src image...
# ...on the Internet
- This repo strongly builds on top of Google example on how to use gRPC for multiprocessing. https://github.com/grpc/grpc/blob/master/examples/python/multiprocessing
Project social image credits to Miguel Á. Padriñán