ottertune/server/website
dvanaken 6283186d76 Driver now works when the database system is local, remote, or on docker 2019-11-18 13:04:14 -05:00
..
script Added additional Oracle views to metric collection (v, v). 2019-10-08 09:32:25 -04:00
tests Added valid target objectives to the session create/edit form 2019-10-14 19:08:43 -04:00
website improve ddpg 2019-11-18 10:51:22 -05:00
.gitignore Driver now works when the database system is local, remote, or on docker 2019-11-18 13:04:14 -05:00
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
manage.py Initial commit with BSL 2019-08-23 11:47:19 -04:00
requirements.txt import Dana's new gpr model 2019-11-04 03:15:33 -05:00

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