Exploring CockroachDB with ipython-sql and Jupyter Notebook

Today, I will demonstrate how ipython-sql can be leveraged in querying CockroachDB.  This will require a secure instance of CockroachDB for the reasons I will explain below. 

Running a secure docker-compose instance of CRDB is beyond the scope of this tutorial. Instead, I will publish everything you need to get through the tutorial in my repo, including the Jupyter Notebook. You may also use CRDB docs to stand up a secure instance and change the URL in the notebook to follow along.

This post will dive deeper into the Python ecosystem and build on my previous Python post. Instead of reliance on pandas alone, we're going to use a popular SQL extension called ipython-sql, a.k.a. SQLmagic to execute SQL queries against CRDB.

As stated earlier, we need to use a secure instance of CockroachDB. In fact, from this point forward, I will attempt to write posts only with secure clusters, as that's the recommended approach. Ipython-sql uses sqlalchemy underneath and it expects database URLs in the format postgresql://username:password@hostname:port/dbname. CockroachDB does not support password fields with insecure clusters, as passwords alone will not protect your data.

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