jupyterlab-sql

jupyterlab-sql adds a SQL user interface to JupyterLab:

• explore your tables with a point-and-click interface
• read and modify your database with custom queries

Installation

Installing on JupyterLab 1.x

To install jupyterlab-sql, run the following commands:

pip install jupyterlab_sql
jupyter serverextension enable jupyterlab_sql --py --sys-prefix
jupyter lab build

You will then need to restart any running Jupyter servers.

jupyterlab-sql only works with Python 3.5 and above.

JupyterLab legacy

To install jupyterlab-sql on versions of JupyterLab pre 1.0, run:

pip install jupyterlab_sql==0.2.1
jupyter serverextension enable jupyterlab_sql --py --sys-prefix
jupyter lab build

Usage

Starting a new SQL session

There is a SQL icon in the launcher (File > New Launcher):

You can also launch a session from the command palette: search for SQL.

Formulating the connection URL

The connection URL needs to be a valid database URL. Follow the SQLAlchemy guide on database URLs.

Executing statements

Press shift + enter or ctrl + enter while in the main query area to dispatch the statement.

Database support

jupyterlab-sql has been extensively tested against SQLite, PostgreSQL, and MySQL databases.

Other databases supported by sqlalchemy may also work.

In-memory SQLite and persistence

The lifetime of a SQLite in-memory database is tied to the lifetime of the Jupyter server. Restarting the Jupyter server will clear any data in your in-memory database.

Issue reporting and contributing

Report issues using the issue tracker.

Contributions are welcome. If you have not developed JupyterLab extensions before, I recommend following this tutorial.