ottertune/server/website
Dongsheng Yang a3fcf59f07 save ddpg model in database 2019-09-27 00:36:21 -04:00
..
config Initial commit with BSL 2019-08-23 11:47:19 -04:00
script Initial commit with BSL 2019-08-23 11:47:19 -04:00
tests Fixed test cases 2019-09-24 09:35:20 -04:00
website save ddpg model in database 2019-09-27 00:36:21 -04:00
.gitignore Initial commit with BSL 2019-08-23 11:47:19 -04:00
LICENSE Initial commit with BSL 2019-08-23 11:47:19 -04:00
README.md Initial commit with BSL 2019-08-23 11:47:19 -04:00
beat.sh Initial commit with BSL 2019-08-23 11:47:19 -04:00
celery.sh Initial commit with BSL 2019-08-23 11:47:19 -04:00
django.sh Initial commit with BSL 2019-08-23 11:47:19 -04:00
fabfile.py Initial commit with BSL 2019-08-23 11:47:19 -04:00
manage.py Initial commit with BSL 2019-08-23 11:47:19 -04:00
requirements.txt add torch in requirements.txt 2019-09-27 00:36:21 -04:00

README.md

Website

OLTP-Bench Website is an intermediate between the client's database and OtterTune (DBMS Auto-tuning system).

Requirements

Ubuntu Packages
sudo apt-get install python-pip python-dev python-mysqldb rabbitmq-server
Python Packages
sudo pip install -r requirements.txt

Installation Instructions

1. Update the Django settings

Navigate to the settings directory:

cd website/settings

Copy the credentials template:

cp credentials_TEMPLATE.py credentials.py

Edit credentials.py and update the secret key and database information.

2. Serve the static files

If you do not use the website for production, simply set DEBUG = True in credentials.py. Then Django will handle static files automatically.

This is not an efficient way for production. You need to configure other servers like Apache to serve static files in the production environment. (Details)

3. Create the MySQL database if it does not already exist
mysqladmin create -u <username> -p ottertune
4. Migrate the Django models into the database
python manage.py makemigrations website
python manage.py migrate
5. Create the super user
python manage.py createsuperuser
6. Start the message broker, celery worker, website server, and periodic task
sudo rabbitmq-server -detached
python manage.py celery worker --loglevel=info --pool=threads
python manage.py runserver 0.0.0.0:8000
python manage.py celerybeat --verbosity=2 --loglevel=info