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Using "--no-cache-dir" flag in pip install ,make sure dowloaded packages by pip don't cached on system . This is a best practise which make sure to fetch ftom repo instead of using local cached one . Further , in case of Docker Containers , by restricing caching , we can reduce image size. In term of stats , it depends upon the number of python packages multiplied by their respective size . e.g for heavy packages with a lot of dependencies it reduce a lot by don't caching pip packages. Further , more detail information can be found at https://medium.com/sciforce/strategies-of-docker-images-optimization-2ca9cc5719b6 Signed-off-by: Pratik Raj <rajpratik71@gmail.com>
43 lines
979 B
Docker
43 lines
979 B
Docker
#
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# Dockerfile for airflow
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#
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FROM python:3.8-alpine
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ENV AIRFLOW_VERSION=1.10.11
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ENV AIRFLOW_EXTRAS=async,all_dbs,celery,crypto,devel_hadoop,jdbc,ldap,password,redis,s3,samba,ssh,statsd
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ENV AIRFLOW_HOME=/opt/airflow
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ENV AIRFLOW_CONFIG=/opt/airflow/airflow.cfg
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RUN set -xe \
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&& apk add --no-cache \
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build-base \
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cyrus-sasl-dev \
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freetds \
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freetds-dev \
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krb5-dev \
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libffi-dev \
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mariadb-dev \
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postgresql-dev \
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python3-dev \
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&& pip install --no-cache-dir cython numpy psycopg2-binary \
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&& pip install --no-cache-dir apache-airflow[${AIRFLOW_EXTRAS}]==${AIRFLOW_VERSION} \
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&& apk del \
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build-base \
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cyrus-sasl-dev \
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freetds-dev \
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krb5-dev \
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libffi-dev \
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mariadb-dev \
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postgresql-dev \
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python3-dev \
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&& rm -rf /root/.cache/pip
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WORKDIR ${AIRFLOW_HOME}
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VOLUME ${AIRFLOW_HOME}
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EXPOSE 8080
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ENTRYPOINT ["airflow"]
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CMD ["--help"]
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