Practice SQL using a docker image containing a jupyter notebook, pandas, and SQLAlchemy linked to preloaded MySQL databases
Clone this repo:
git clone https://github.com/joseph-jnl/sql-practice.git
AND
Install docker
(Note: For Linux Mint when adding the stable repo, '$(lsb_release -cs)' must be replaced with the ubuntu base, i.e. xenial)
Then build docker images:
sudo docker build -t josephjnl/jupyter-sql:latest \
https://github.com/joseph-jnl/sql-practice.git#master:images/jupyter-sql
sudo docker build -t josephjnl/mysql-practice:latest \
https://github.com/joseph-jnl/sql-practice.git#master:images/mysql-practice
OR download images:
sudo docker pull josephjnl/mysql-practice
sudo docker pull josephjnl/jupyter-sql
Start the mysql docker image (Only need to do this once unless you stop the container):
sudo docker run --name sqlpractice -itd --restart always --publish 3306:3306 --volume /srv/docker/mysql:/var/lib/mysql -d josephjnl/mysql-practice
Start the jupyter notebook docker image with: (Note: Replace '/home/joe/work' with your own working directory to persist changes after you stop the docker container)
Don't forget to include the /notebook from this repo in your working directory!
sudo docker run --name "jupyter-sql" -it --rm \
-p 8888:8888 -v /home/joe/work:/home/jovyan \
josephjnl/sql-practice:latest
Copy/paste the given URL into your browser to start the Juypter notebook
Open up one of the SQL practice jupyter notebooks found in the /notebook directory:
Current notebooks
- Lahman's Database - Baseball datebase containing tables such as player salaries, hitting, and pitching statistics.