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# Defining environment
ARG APP_ENV=prod
FROM acryldata/datahub-ingestion-base as base
# ENV DOCKERIZE_VERSION v0.6.1
# RUN apk --no-cache add curl tar \
# && curl https://repo1.maven.org/maven2/org/eclipse/jetty/jetty-runner/9.4.20.v20190813/jetty-runner-9.4.20.v20190813.jar --output jetty-runner.jar \
# && curl -L https://github.com/jwilder/dockerize/releases/download/$DOCKERIZE_VERSION/dockerize-linux-amd64-$DOCKERIZE_VERSION.tar.gz | tar -C /usr/local/bin -xzv
FROM openjdk:8 as prod-build
COPY . /datahub-src
RUN cd /datahub-src && ./gradlew :metadata-events:mxe-schemas:build
FROM base as prod-codegen
COPY --from=prod-build /datahub-src /datahub-src
RUN cd /datahub-src/metadata-ingestion && \
pip install -e ".[base]" && \
./scripts/codegen.sh
FROM base as prod-install
COPY --from=prod-codegen /datahub-src/metadata-ingestion /datahub-ingestion
COPY --from=prod-codegen /root/.cache/pip /root/.cache/pip
ARG RELEASE_VERSION
RUN cd /datahub-ingestion && \
sed -i.bak "s/__version__ = \"0.0.0.dev0\"/__version__ = \"$RELEASE_VERSION\"/" src/datahub/__init__.py && \
cat src/datahub/__init__.py && \
pip install ".[all]"
FROM base as dev-install
# Dummy stage for development. Assumes code is built on your machine and mounted to this image.
# See this excellent thread https://github.com/docker/cli/issues/1134
FROM ${APP_ENV}-install as final
RUN addgroup --system datahub && adduser --system datahub --ingroup datahub
USER datahub
ENTRYPOINT [ "datahub" ]