/cmsc424-fall2022

Primary LanguageJupyter Notebook

Brief Setup Instructions

There are more detailed setup instructions in Assignment-0 and the other directories.

  1. Clone the GitHub Class Repository to get started (there are more detailed instructions in Assignment-0 README): git clone https://github.com/umddb/cmsc424-fall2022.git

  2. You can load the different database systems directly on your machines (easier on Linux or Mac), but to make things easier, we have provided a Docker Image with PostgreSQL pre-loaded (we will update the image throughout the semester).

    • Install Docker Desktop: https://www.docker.com/products/docker-desktop
    • Run the docker image: docker run --rm -ti -p 8888:8888 -p 8881:8881 -p 5432:5432 -v /Users/amol/git/cmsc424-fall2022:/data amolumd/cmsc424-fall2022.
    • Make sure to replace /Users/amol/... with the correct path of the top level directory in the cloned GitHub repository.
    • The above command mounts the local GitHub directory into /data on the virtual machine. Do ls /data in the virtual machine to confirm that you can see Assignment-0 directory in there. Make all your changes in that directory itself -- any changes elsewhere in the container will not survive when you exit it.
    • Assuming it ran successfully, you should be logged in as root in the docker container, and you should see the shell.
    • The above command maps three ports on the container: 8888, 8881, and 5432 (PostgreSQL). This means that if you go to 'http://127.0.0.1:8888', you will actually be connecting to the 8888 port on the virtual machine (on which we are running the Jupyter Notebook). However, if your computer is already using these ports, you will have to modify those (see below).
    • NOTE: you will be logged in as root.
    • At this point, you should be able to use psql: psql university
    • Jupyter Notebook should be pre-started (try http://127.0.0.1:8888), but if not, you can do: jupyter-notebook --port=8888 --allow-root --no-browser --ip=0.0.0.0
    • As soon as you exit the Docker container, the machine will shut down -- so only changes you have made in the /data directory will persist.

  3. If you are having trouble installing Docker or somewhere in the steps above, you can also install the software directly by going through the commands listed in the Dockerfile.

Important: Read before Visiting Office Hours for Errors

  1. If you run into issues installing Docker Desktop, do Google searches on the errors to see if there are any instructions to fix those. That's what we would do if you come to office hours.

  2. If you run into issues running the docker image (using docker run), post a screenshot of the error in Piazza. The most likely error I can imagine is port mapping. For example, if it complains that port 8888 is already used, then just modify the above command to use -p 8889:8888 instead. If that works, then to use Jupyter notebook, you would have to go to: http://127.0.0.1:8889 instead of the link provided above.

  3. Assuming no errors in running docker image, I am not sure why either PostgreSQL or Jupyter Notebook wouldn't work, but we will update this section if we see more errors.