epoll
Epoll examples and benchmarks
Description:
Simple epoll based HTTP servers with constant JSON response to any request.
It's possible to make and run examples on your system as well as in Docker.
To run C version in the Docker container use the next commands:
# cd c/
# docker build -f Dockerfile_C -t epoll .
# docker run --net=host -p 8000:8000 -t epoll
After that you'll see the next output:
Successfully tagged epoll:latest
Server listening on 0.0.0.0:8000
For benchmarks wrk tool was used.
NB: Even with --net=host key in docker run command the performance of examples on a host system is better than in the Docker.
Results:
To test I've used the next wrk confuguration: 2 threads, 100 clients and 10 seconds.
Tested epoll servers were run in Docker, whereas wrk was on the host system (Ubuntu 16.04).
C (threaded_loop (2 threads)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 77176.69
=============================================
CPython3 (multiprocessed_loop (2 processes)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 48215.67
CPython3 (threaded_loop (2 threads)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 29849.85
=============================================
PyPy3 (multiprocessed_loop (2 processes)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 76399.70
PyPy3 (threaded_loop (2 threads)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 74526.86
=============================================
Go (ConcurrentLoop (2 threads)):
$ wrk -t2 -c100 -d10s http://0.0.0.0:8000/
Requests/sec: 76362.73
It's interesting that PyPy3 performance is close to C.
License:
Released under The MIT License.