Recipes

Users sometimes share interesting ways of using the Docker images. We encourage users to contribute these recipes to the documentation in case they prove useful to other members of the community by submitting a pull request. The sections below capture this knowledge.

Google Cloud SDK installation

Some operators, such as GKEStartPodOperator, DataflowStartSqlJobOperator, require the installation of Google Cloud SDK (includes gcloud). You can also run these commands with BashOperator.

Create a new Dockerfile like the one shown below.

docs/docker-stack/docker-images-recipes/gcloud.Dockerfile

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
ARG BASE_AIRFLOW_IMAGE
FROM ${BASE_AIRFLOW_IMAGE}

SHELL ["/bin/bash", "-o", "pipefail", "-e", "-u", "-x", "-c"]

USER 0

ARG CLOUD_SDK_VERSION=322.0.0
ENV GCLOUD_HOME=/opt/google-cloud-sdk

ENV PATH="${GCLOUD_HOME}/bin/:${PATH}"

RUN DOWNLOAD_URL="https://dl.google.com/dl/cloudsdk/channels/rapid/downloads/google-cloud-sdk-${CLOUD_SDK_VERSION}-linux-x86_64.tar.gz" \
    && TMP_DIR="$(mktemp -d)" \
    && curl -fL "${DOWNLOAD_URL}" --output "${TMP_DIR}/google-cloud-sdk.tar.gz" \
    && mkdir -p "${GCLOUD_HOME}" \
    && tar xzf "${TMP_DIR}/google-cloud-sdk.tar.gz" -C "${GCLOUD_HOME}" --strip-components=1 \
    && "${GCLOUD_HOME}/install.sh" \
       --bash-completion=false \
       --path-update=false \
       --usage-reporting=false \
       --additional-components alpha beta kubectl \
       --quiet \
    && rm -rf "${TMP_DIR}" \
    && gcloud --version

USER ${AIRFLOW_UID}

Then build a new image.

docker build . \
  --build-arg BASE_AIRFLOW_IMAGE="apache/airflow:2.0.2" \
  --tag my-airflow-image:0.0.1

Apache Hadoop Stack installation

Airflow is often used to run tasks on Hadoop cluster. It required Java Runtime Environment (JRE) to run. Below are the steps to take tools that are frequently used in Hadoop-world:

Create a new Dockerfile like the one shown below.

docs/docker-stack/docker-images-recipes/hadoop.Dockerfile

# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
ARG BASE_AIRFLOW_IMAGE

FROM ${BASE_AIRFLOW_IMAGE}

SHELL ["/bin/bash", "-o", "pipefail", "-e", "-u", "-x", "-c"]

USER 0

# Install Java
RUN mkdir -pv /usr/share/man/man1 \
    && mkdir -pv /usr/share/man/man7 \
    && curl -fsSL https://adoptopenjdk.jfrog.io/adoptopenjdk/api/gpg/key/public | apt-key add - \
    && echo 'deb https://adoptopenjdk.jfrog.io/adoptopenjdk/deb/ buster main' > \
        /etc/apt/sources.list.d/adoptopenjdk.list \
    && apt-get update \
    && apt-get install --no-install-recommends -y \
      adoptopenjdk-8-hotspot-jre \
    && apt-get autoremove -yqq --purge \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*
ENV JAVA_HOME=/usr/lib/jvm/adoptopenjdk-8-hotspot-jre-amd64

RUN mkdir -p /opt/spark/jars

# Install Apache Hadoop
ARG HADOOP_VERSION=2.10.1
ENV HADOOP_HOME=/opt/hadoop
ENV HADOOP_CONF_DIR=/etc/hadoop
ENV MULTIHOMED_NETWORK=1
ENV USER=root

RUN HADOOP_URL="https://archive.apache.org/dist/hadoop/common/hadoop-$HADOOP_VERSION/hadoop-$HADOOP_VERSION.tar.gz" \
    && curl 'https://dist.apache.org/repos/dist/release/hadoop/common/KEYS' | gpg --import - \
    && curl -fSL "$HADOOP_URL" -o /tmp/hadoop.tar.gz \
    && curl -fSL "$HADOOP_URL.asc" -o /tmp/hadoop.tar.gz.asc \
    && gpg --verify /tmp/hadoop.tar.gz.asc \
    && mkdir -p "${HADOOP_HOME}" \
    && tar -xvf /tmp/hadoop.tar.gz -C "${HADOOP_HOME}" --strip-components=1 \
    && rm /tmp/hadoop.tar.gz /tmp/hadoop.tar.gz.asc \
    && ln -s "${HADOOP_HOME}/etc/hadoop" /etc/hadoop \
    && mkdir "${HADOOP_HOME}/logs" \
    && mkdir /hadoop-data

ENV PATH="$HADOOP_HOME/bin/:$PATH"

# Install Apache Hive
ARG HIVE_VERSION=2.3.7
ENV HIVE_HOME=/opt/hive
ENV HIVE_CONF_DIR=/etc/hive

RUN HIVE_URL="https://archive.apache.org/dist/hive/hive-${HIVE_VERSION}/apache-hive-${HIVE_VERSION}-bin.tar.gz" \
    && curl -fSL 'https://downloads.apache.org/hive/KEYS' | gpg --import - \
    && curl -fSL "$HIVE_URL" -o /tmp/hive.tar.gz \
    && curl -fSL "$HIVE_URL.asc" -o /tmp/hive.tar.gz.asc \
    && gpg --verify /tmp/hive.tar.gz.asc \
    && mkdir -p "${HIVE_HOME}" \
    && tar -xf /tmp/hive.tar.gz -C "${HIVE_HOME}" --strip-components=1 \
    && rm /tmp/hive.tar.gz /tmp/hive.tar.gz.asc \
    && ln -s "${HIVE_HOME}/etc/hive" "${HIVE_CONF_DIR}" \
    && mkdir "${HIVE_HOME}/logs"

ENV PATH="$HIVE_HOME/bin/:$PATH"

# Install GCS connector for Apache Hadoop
# See: https://cloud.google.com/dataproc/docs/concepts/connectors/cloud-storage
ARG GCS_VARIANT="hadoop2"
ARG GCS_VERSION="2.1.5"

RUN GCS_JAR_PATH="/opt/spark/jars/gcs-connector-${GCS_VARIANT}-${GCS_VERSION}.jar" \
    && GCS_JAR_URL="https://storage.googleapis.com/hadoop-lib/gcs/gcs-connector-${GCS_VARIANT}-${GCS_VERSION}.jar" \
    && curl "${GCS_JAR_URL}" -o "${GCS_JAR_PATH}"

ENV HADOOP_CLASSPATH="/opt/spark/jars/gcs-connector-${GCS_VARIANT}-${GCS_VERSION}.jar:$HADOOP_CLASSPATH"

USER ${AIRFLOW_UID}

Then build a new image.

docker build . \
  --build-arg BASE_AIRFLOW_IMAGE="apache/airflow:2.0.2" \
  --tag my-airflow-image:0.0.1

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