Install docker and then run:
$ docker-compose up --build
Visit this page in your browser: http://0.0.0.0:5000/
First, run a redis instance:
$ docker run -p 6379:6379 redis
(you can use -d
to daemonize this process)
Create & activate virtualenv (you may need to run pip3 install virtualenv
if you haven't), install dependencies:
$ python3 -m virtualenv .venv && source .venv/bin/activate
$ pip3 install -r requirements.txt
Set environmental variables (these are already set to the right defaults in docker):
$ EXPORT REDIS_HOST=127.0.0.1 REDIS_PORT=6379 REDIS_DB=1 PASTEY_HOST=0.0.0.0 PASTEY_PORT=5000
Run the server the old-fashioned way:
$ python3.6 server.py
Or, for better performance run the server with gunicorn/uvloop:
$ ./gunicorn.sh
- Seed the database with a bunch of Pasteys via curl call:
$ for i in {1..5}; do curl -F title="Title #$i" -F body="$(openssl rand -base64 1000)" 0.0.0.0:5000/pastes -L -s -o /dev/null -w '%{url_effective}\n'; done
http://0.0.0.0:5000/pastes/80f58d80-a6a3-4bf3-86d4-7ded65e41448
...
(you can do this via web interface if you prefer)
- Make a bunch of requests to a valid Pastey URL (generated in the previous step):
$ ab -n 10000 -c 5 http://0.0.0.0:5000/pastes/80f58d80-a6a3-4bf3-86d4-7ded65e41448
...
Concurrency Level: 5
Time taken for tests: 40.628 seconds
Complete requests: 10000
Failed requests: 0
Total transferred: 24910000 bytes
HTML transferred: 23390000 bytes
Requests per second: 246.14 [#/sec] (mean)
Time per request: 20.314 [ms] (mean)
Time per request: 4.063 [ms] (mean, across all concurrent requests)
Transfer rate: 598.76 [Kbytes/sec] received
Connection Times (ms)
min mean[+/-sd] median max
Connect: 0 1 6.3 1 236
Processing: 5 18 27.7 16 1024
Waiting: 5 17 27.4 14 1019
Total: 6 19 28.4 17 1025
Percentage of the requests served within a certain time (ms)
50% 17
66% 18
75% 19
80% 19
90% 22
95% 26
98% 33
99% 116
100% 1025 (longest request)
TODO: add test coverage