Install Oracle Instant Client

README.md

@@ -2,10 +2,11 @@
 Jupyter Notebook Docker image for Analytics Platform
 
 - [Datascience-Notebook](https://quay.io/repository/mojanalytics/datascience-notebook) [![Docker Repository on Quay](https://quay.io/repository/mojanalytics/datascience-notebook/status "Docker Repository on Quay")](https://quay.io/repository/mojanalytics/datascience-notebook)
+- [Oracle-Datascience-Notebook](https://quay.io/repository/mojanalytics/oracle-datascience-notebook) [![Docker Repository on Quay](https://quay.io/repository/mojanalytics/oracle-datascience-notebook/status "Docker Repository on Quay")](https://quay.io/repository/mojanalytics/oracle-datascience-notebook)
 - [Allspark-Notebook](https://quay.io/repository/mojanalytics/all-spark) [![Docker Repository on Quay](https://quay.io/repository/mojanalytics/all-spark/status "Docker Repository on Quay")](https://quay.io/repository/mojanalytics/all-spark)
 
 ### About Jupyter Notebook
-From [Jupter](http://jupyter.org):
+From [Jupyter](http://jupyter.org):
 > The Jupyter Notebook is a web application that allows you to create and share documents that contain live code, equations,
 > visualizations and explanatory text. Uses include: data cleaning and transformation, numerical simulation, statistical
 > modeling, machine learning and much more."
@@ -19,6 +20,7 @@ These images are derived from [jupyter/docker-stacks](https://github.com/jupyter
 From the root of this repository
 ```
 docker image build --no-cache -t jupyter/datascience-notebook -f datascience-notebook/Dockerfile .
+docker image build --no-cache -t jupyter/oracle-datascience-notebook -f oracle-datascience-notebook/Dockerfile .
 docker image build --no-cache -t jupyter/all-spark -f all-spark-notebook/Dockerfile .
 ```
 

oracle-datascience-notebook/Dockerfile

@@ -0,0 +1,42 @@
+FROM jupyter/datascience-notebook:76402a27fd13
+
+LABEL [email protected]
+
+USER root
+
+ENV PATH=$PATH:$HOME/.local/bin
+ENV NB_UID=1001
+ENV CHOWN_HOME=no
+
+COPY ./files/apt_packages /tmp/
+
+RUN conda update conda \
+    && conda install boto3 black flake8 jupyterlab_code_formatter \
+    && apt-get update \
+    && apt-get install -y $(cat /tmp/apt_packages) libaio1 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install Oracle Instant Client
+# See: https://www.oracle.com/uk/database/technologies/instant-client/linux-x86-64-downloads.html#ic_x64_inst
+RUN mkdir /opt/oracle \
+    && cd /opt/oracle \
+    && curl -sO https://download.oracle.com/otn_software/linux/instantclient/19600/instantclient-basiclite-linux.x64-19.6.0.0.0dbru.zip \
+    && unzip instantclient-basiclite-linux.x64-19.6.0.0.0dbru.zip \
+    && rm instantclient-basiclite-linux.x64-19.6.0.0.0dbru.zip
+
+RUN sh -c "echo /opt/oracle/instantclient_19_6 > /etc/ld.so.conf.d/oracle-instantclient.conf" \
+    && ldconfig
+
+ENV ORACLE_HOME=/opt/oracle/instantclient_19_6
+ENV LD_LIBRARY_PATH=$ORACLE_HOME:$LD_LIBRARY_PATH
+ENV PATH=$PATH:$ORACLE_HOME
+
+RUN npm install jupyterlab-flake8 \
+    && jupyter labextension install jupyterlab-flake8 \
+    && jupyter labextension install @ryantam626/jupyterlab_code_formatter \
+    && jupyter serverextension enable --py jupyterlab_code_formatter \
+    && pip install --upgrade nbstripout 
+
+# Fix conda install for NB_UID
+RUN chown -R $NB_UID /opt/conda \
+    && usermod -u $NB_UID $NB_USER