ottertune/server/website
dvanaken 4e1233ded2 Added a new textfield to the BackupData model to save additional (not required) files uploaded by the user. 2020-04-13 17:30:19 -04:00
..
script make dba_hist backward compatible; add dba_hist in fixtures 2020-04-09 15:51:07 -04:00
tests fix bugs 2020-04-08 16:19:53 -04:00
website Added a new textfield to the BackupData model to save additional (not required) files uploaded by the user. 2020-04-13 17:30:19 -04:00
.gitignore Return http error if views.give_result() is called and it's not a tuning session and updated .gitignore 2020-04-03 03:56:59 -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
manage.py Initial commit with BSL 2019-08-23 11:47:19 -04:00
requirements.txt fix dependency 2020-04-08 13:30:56 -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