Deploy Cassandra on Oracle Cloud (OCI) Linux VM

1 Introduction

This tutorial will guide you through the steps needed to set up your environment to run Cassandra in Oracle Cloud Infrastructure.


You should have already deployed a VM 2.1 with Oracle Linux 7.9 (OEL7) in Oracle Cloud Infrastructure (OCI).

  • The installation of Oracle Linux 7.9 is using pip3.6 by default
  • Python 3.6 or higher is installed
  • You have access to root, either directly or via sudo. In OCI, the default user is “opc” and has sudo privileges

Installing JuypterLab is fairly simple:

  1. Set up python
  2. Install python components and libraries

Lets start with setting up the Python Environment.

2 Python setup

By default, OEL7 runs Python 3. The first step is to install pip and virtualenv.

  1. Install virtualenv

    The next step is to install virtualenv. virtualenv enables us to create isolated sandboxes to develop Python applications without running into module or library conflicts. It’s easy to install:

     sudo pip3.6 install virtualenv
  2. Create an environment and enable it

    Create an environment called “myvirtualenv” using the following command:

     virtualenv -p /usr/bin/python3 myvirtualenv
     # Activate the env
     source myvirtualenv/bin/activate
  3. Check Python libraries

    Running the following command will show what Python modules we have installed at this point:

     (myvirtualenv) [opc@lab1 ~]$ pip3 list
     Package    Version
     ---------- -------
     pip        21.1.3
     setuptools 57.1.0
     wheel      0.36.2
     WARNING: You are using pip version 21.1.3; however, version 21.2.1 is available.
     You should consider upgrading via the '/home/opc/myvirtualenv/bin/python -m pip install --upgrade pip' command.
  4. Upgrade your PIP Environment

     /home/opc/myvirtualenv/bin/python -m pip install --upgrade pip

3 Jupyterlab setup

  1. Install JupyterLab

     pip3 install jupyterlab
  2. Install Python libraries for Machine Learning or ETL Process

     pip install pandas
     pip install pandarallel
     pip install dask
     pip install seaborn
     pip install matplotlib
     pip install plotly
     pip install -lxml==4.6.3
     pip install selenium
     pip install beautifulsoup4
     pip install scikit-learn
  3. Install other Python Libraries for Kafka Access and WEB Server Access

     pip install kafka-python (v2.0.0)
     pip install Flask
     pip install gunicorn
  4. Install extensiones for Jupyterlab Environment

     pip install jupyter_contrib_nbextensions
     jupyter contrib nbextension install --user
     jupyter nbextension enable execute_time/ExecuteTime

4 Configure Jupyterlab as an OEL7 Linux Service

  1. Create a script to automatically instantiate and reboot JupyterLab with the “opc” user.

     vi /home/opc/

    Add the content below. You must use the “myvirtualenv” virtualenv environment you created previously. You can launch Jupyterlab on a specific port (for example: 8001) and listen on your public IP.

     # Activate myvirtualenv Environment
     source myvirtualenv/bin/activate
     cd /home/opc
     if [ "$1" = "start" ]; then
         nohup jupyter-lab --ip= --port=8001 > ./nohup.log 2>&1 &
         echo $! > /home/opc/
         kill $(cat /home/opc/
  2. Make the script executable so it can be executed from the JupyterLab service.

     chmod 777 /home/opc/
  3. Connect to the “root” user

     sudo -i
  4. Create a script to start and stop the “jupyterlab” service

     vi /etc/systemd/system/jupyterlab.service

    Add the following to launch the “” script as the “opc” user

     Description=Service to start jupyterlab for opc
     ExecStart=/home/opc/ start
     ExecStop=/home/opc/ stop
  5. Test Jupyterlab Service

     systemctl start jupyterlab
     systemctl status jupyterlab
     systemctl enable jupyterlab

5 Reboot Your machine for a final check

Lastly, you’ll need to reboot your machine to ensure the jupyterlab script is available on port 8001.

Open port 8001 on your virtual machine VM 2.1 to allow access to JupyterLab using your Public IP.

firewall-cmd --permanent --zone=public --list-ports
firewall-cmd --get-active-zones
firewall-cmd --permanent --zone=public --add-port=8001/tcp
firewall-cmd --reload

If you’re running directly on a virtual machine and have a browser installed, it should take you directly into the Jupyter environment. Connect using your public IP with the 8001 port, i.e. “”.

You should now see the Python Web environment “Jupyterlab”.