Quick Start

sudo ./datafabric.sh build
sudo ./datafabric.sh initialize
sudo ./datafabric.sh start
sudo ./datafabric.sh generate_testdata 1000 200 50 1 # 1000 random_tables, 200 catalogs, 50 users, generate fake ratings

Then connect to {your_ip}:5000/,
default account is admin/admin

Commands

Build the docker images

sudo ./datafabric.sh build

Initialize datafabric

sudo ./datafabric.sh initialize

Start the system

sudo ./datafabric.sh start

Stop the system

sudo ./datafabric.sh stop

Restart the system

sudo ./datafabric.sh restart

Enter the bash of container

sudo ./datafabric.sh bash {container_name}

View the logs of container

sudo ./datafabric.sh logs {container_name}

Enter Flask CLI

sudo ./datafabric.sh flask-cli

Enter MySQL CLI

sudo ./datafabric.sh mysql

Enter MongoDB CLI

sudo ./datafabric.sh mongo

Generate testdata

sudo ./datafabric.sh generate_testdata {n_table} {n_catalog} {n_user} {gen_rating}

# n_table:    The number of test tables (Default: 1000)
# n_catalog:  The number of test catalogs (Default: 200)
# n_catalog:  The number of test users (Default: 50)
# gen_rating: Whether to generate rating (Default: 1)

Train recommender system

sudo ./datafabric.sh train_recommender