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Recipe for Microsoft SQL Server (#1847)

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* Recipe for Microsoft SQL Server

Dockerfile with Microsoft SQL Server ODBC driver and pyodbc.

* [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

* Get rid of apt-key, only install what's needed and clean up properly

* Replace apt-get with apt

* Switch from apt to apt-get

* Use --no-install-recommends in the right place

* Use simple pip install

* Install pip package under jovyan

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
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Bastian Fredriksson
2022-12-17 22:36:56 +01:00
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@@ -581,3 +581,36 @@ FROM jupyter/scipy-notebook:85f615d5cafa
RUN npm install -g ijavascript RUN npm install -g ijavascript
RUN ijsinstall RUN ijsinstall
``` ```
## Add Microsoft SQL Server ODBC driver
The following recipe demonstrates how to add functionality to read from and write to an instance of Microsoft SQL server in your notebook.
```dockerfile
ARG BASE_IMAGE=jupyter/tensorflow-notebook
FROM $BASE_IMAGE
USER root
ENV MSSQL_DRIVER "ODBC Driver 18 for SQL Server"
ENV PATH="/opt/mssql-tools18/bin:${PATH}"
RUN apt-get update --yes && \
apt-get install --yes --no-install-recommends gnupg2 && \
wget -qO- https://packages.microsoft.com/keys/microsoft.asc | gpg --dearmor > /usr/share/keyrings/microsoft.gpg && \
apt-get purge --yes gnupg2 && \
echo "deb [arch=amd64,armhf,arm64 signed-by=/usr/share/keyrings/microsoft.gpg] https://packages.microsoft.com/ubuntu/22.04/prod jammy main" > /etc/apt/sources.list.d/microsoft.list && \
apt-get update --yes && \
ACCEPT_EULA=Y apt-get install --yes --no-install-recommends msodbcsql18 && \
apt-get clean && rm -rf /var/lib/apt/lists/*
# Switch back to jovyan to avoid accidental container runs as root
USER ${NB_UID}
RUN pip install --quiet --no-cache-dir pyodbc
```
You can now use `pyodbc` and `sqlalchemy` to interact with the database.
Pre-built images are hosted in the [realiserad/jupyter-docker-mssql](https://github.com/Realiserad/jupyter-docker-mssql) repository.