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Update Microsoft SQL Server ODBC driver recipe (#1952)

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* Update Microsoft SQL Server ODBC driver recipe

* Fix
This commit is contained in:
Ayaz Salikhov
2023-07-28 12:38:31 +04:00
committed by GitHub
parent df06e24103
commit 3ab837290e
1 changed files with 13 additions and 6 deletions
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19
docs/using/recipes.md
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@@ -588,7 +588,7 @@ RUN ijsinstall
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
ARG BASE_IMAGE=jupyter/base-notebook
FROM $BASE_IMAGE
@@ -598,18 +598,25 @@ ENV MSSQL_DRIVER "ODBC Driver 18 for SQL Server"
ENV PATH="/opt/mssql-tools18/bin:${PATH}"
RUN apt-get update --yes && \
apt-get install --yes --no-install-recommends gnupg2 && \
wget --progress=dot:giga 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 install --yes --no-install-recommends curl gnupg2 lsb-release && \
curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - && \
curl https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/prod.list > /etc/apt/sources.list.d/mssql-release.list && \
apt-get update --yes && \
ACCEPT_EULA=Y apt-get install --yes --no-install-recommends msodbcsql18 && \
# optional: for bcp and sqlcmd
ACCEPT_EULA=Y apt-get install --yes --no-install-recommends mssql-tools18 && \
# optional: for unixODBC development headers
apt-get install -y unixodbc-dev && \
apt-get clean && rm -rf /var/lib/apt/lists/*
# Switch back to jovyan to avoid accidental container runs as root
USER ${NB_UID}
RUN pip install --no-cache-dir pyodbc
RUN mamba install --yes \
'pyodbc' && \
mamba clean --all -f -y && \
fix-permissions "${CONDA_DIR}" && \
fix-permissions "/home/${NB_USER}"
```
You can now use `pyodbc` and `sqlalchemy` to interact with the database.