ottertune/server/website
BohanZhang 25d1950e67 use GPFlow in workload mapping 2020-01-22 13:13:32 -05:00
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script Added CHOOSE to enumvals for Oracle parameter optimizer_mode 2020-01-13 10:09:31 -05:00
tests rename hyperparameters and use them as defaults 2020-01-18 23:27:01 -05:00
website use GPFlow in workload mapping 2020-01-22 13:13:32 -05:00
.gitignore Updated management commands 2019-11-26 15:25:06 -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 Upgraded Django from version 1.11.23 to 1.11.27 2020-01-19 06:33:25 -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