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Unify ENV command in Dockerfiles (#2135)

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This commit is contained in:
Ayaz Salikhov
2024-08-14 15:36:38 +01:00
committed by GitHub
parent a966c0a941
commit 4d4ed0e0bf
8 changed files with 19 additions and 19 deletions
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2
docs/using/recipe_code/microsoft_odbc.dockerfile
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@@ -6,7 +6,7 @@ SHELL ["/bin/bash", "-o", "pipefail", "-c"]
USER root
ENV MSSQL_DRIVER "ODBC Driver 18 for SQL Server"
ENV MSSQL_DRIVER="ODBC Driver 18 for SQL Server"
ENV PATH="/opt/mssql-tools18/bin:${PATH}"
RUN apt-get update --yes && \

4
docs/using/recipe_code/oracledb.dockerfile
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@@ -34,8 +34,8 @@ RUN wget --progress=dot:giga "${INSTANTCLIENT_URL}/oracle-instantclient-basiclit
# And configure variables
RUN echo "ORACLE_HOME=/usr/lib/oracle/${INSTANTCLIENT_MAJOR_VERSION}/client64" >> "${HOME}/.bashrc" && \
echo "PATH=${ORACLE_HOME}/bin:${PATH}" >> "${HOME}/.bashrc" && \
echo "LD_LIBRARY_PATH=${ORACLE_HOME}/lib:${LD_LIBRARY_PATH}" >> "${HOME}/.bashrc" && \
echo "PATH=\"${ORACLE_HOME}/bin:${PATH}\"" >> "${HOME}/.bashrc" && \
echo "LD_LIBRARY_PATH=\"${ORACLE_HOME}/lib:${LD_LIBRARY_PATH}\"" >> "${HOME}/.bashrc" && \
echo "export ORACLE_HOME" >> "${HOME}/.bashrc" && \
echo "export PATH" >> "${HOME}/.bashrc" && \
echo "export LD_LIBRARY_PATH" >> "${HOME}/.bashrc"

8
docs/using/recipes.md
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@@ -301,10 +301,10 @@ This recipe is not tested and might be broken.
FROM quay.io/jupyter/all-spark-notebook
# Set env vars for pydoop
ENV HADOOP_HOME /usr/local/hadoop-2.7.3
ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64
ENV HADOOP_CONF_HOME /usr/local/hadoop-2.7.3/etc/hadoop
ENV HADOOP_CONF_DIR /usr/local/hadoop-2.7.3/etc/hadoop
ENV HADOOP_HOME=/usr/local/hadoop-2.7.3
ENV JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64
ENV HADOOP_CONF_HOME=/usr/local/hadoop-2.7.3/etc/hadoop
ENV HADOOP_CONF_DIR=/usr/local/hadoop-2.7.3/etc/hadoop
USER root
# Add proper open-jdk-8 not the jre only, needed for pydoop

2
images/all-spark-notebook/Dockerfile
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@@ -14,7 +14,7 @@ SHELL ["/bin/bash", "-o", "pipefail", "-c"]
USER root
# RSpark config
ENV R_LIBS_USER "${SPARK_HOME}/R/lib"
ENV R_LIBS_USER="${SPARK_HOME}/R/lib"
RUN fix-permissions "${R_LIBS_USER}"
# R pre-requisites

2
images/docker-stacks-foundation/Dockerfile
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@@ -20,7 +20,7 @@ USER root
# Install all OS dependencies for the Server that starts
# but lacks all features (e.g., download as all possible file formats)
ENV DEBIAN_FRONTEND noninteractive
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update --yes && \
# - `apt-get upgrade` is run to patch known vulnerabilities in system packages
# as the Ubuntu base image is rebuilt too seldom sometimes (less than once a month)

8
images/pytorch-notebook/cuda11/Dockerfile
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@@ -21,10 +21,10 @@ RUN pip install --no-cache-dir --extra-index-url=https://pypi.nvidia.com --index
fix-permissions "/home/${NB_USER}"
# https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html#dockerfiles
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_VISIBLE_DEVICES="all" \
NVIDIA_DRIVER_CAPABILITIES="compute,utility"
# Puts the nvidia-smi binary (system management interface) on path
# with associated library files to execute it
ENV PATH=${PATH}:/usr/local/nvidia/bin
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64
ENV PATH="${PATH}:/usr/local/nvidia/bin" \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64"

8
images/pytorch-notebook/cuda12/Dockerfile
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@@ -21,10 +21,10 @@ RUN pip install --no-cache-dir --extra-index-url=https://pypi.nvidia.com --index
fix-permissions "/home/${NB_USER}"
# https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html#dockerfiles
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_VISIBLE_DEVICES="all" \
NVIDIA_DRIVER_CAPABILITIES="compute,utility"
# Puts the nvidia-smi binary (system management interface) on path
# with associated library files to execute it
ENV PATH=${PATH}:/usr/local/nvidia/bin
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64
ENV PATH="${PATH}:/usr/local/nvidia/bin" \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64"

4
images/tensorflow-notebook/cuda/Dockerfile
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@@ -32,5 +32,5 @@ ENV NVIDIA_VISIBLE_DEVICES="all" \
# Puts the nvidia-smi binary (system management interface) on path
# with associated library files to execute it
ENV PATH=${PATH}:/usr/local/nvidia/bin
ENV LD_LIBRARY_PATH=${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64
ENV PATH="${PATH}:/usr/local/nvidia/bin" \
LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/nvidia/lib64"