The Ultimate Guide to High Availability with MariaDB

About the MariaDB Jupyter Kernel

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An Open Source kernel for Jupyter which enables users to run MariaDB in a Jupyter notebook.

Notebooks can be run in a variety of environments, ranging from your local computer for testing purposes via JupyterLab to complex Zero To JupyterHub Kubernetes systems running in the cloud.

The mariadb_kernel project is agnostic about the complexity of your Jupyter infrastructure, it can run on any of them thanks to the way Jupyter designed its kernel machinery. As long as MariaDB is installed on the host running the kernel and there is MariaDB Server running somewhere, things should work out as expected.

Motivation

We created the mariadb_kernel project with some simple goals in mind:

  • Help existing MariaDB users have an alternative to the classical mariadb command-line client based on Jupyter.
  • Bring MariaDB Server to Jupyter and Python users who would like to use our Open Source database for handling their datasets.

If you would love to be able to run SQL against MariaDB data from Jupyter notebooks or you want to run a training program and help your employees learn SQL, if you are a teacher and you’d love to use Jupyter for your SQL classes or you are a data scientist trying to quickly chart or explore your datasets, you should take a look at this project.

Contents

Installation

Configuring the kernel

Using the Kernel

Main Components and Architecture

Extending the Kernel

Changelog

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