Dockerfile

# Use an SBT image matching the Scala and JDK version.
FROM hseeberger/scala-sbt:8u265_1.4.2_2.12.15 as builder

RUN apt-get update; apt-get install curl

RUN curl -L -O https://downloads.apache.org/spark/spark-3.0.1/spark-3.0.1-bin-hadoop2.7.tgz

## configure spark
RUN mkdir -p /usr/local/spark-3.0.1
RUN tar -zxf spark-3.0.1-bin-hadoop2.7.tgz -C /usr/local/spark-3.0.1/
RUN rm spark-3.0.1-bin-hadoop2.7.tgz

# Copy local code to the container image.
WORKDIR /app
COPY build.sbt .
COPY project ./project
COPY src ./src
COPY .scalafmt.conf .

# Build a release artifact.
RUN sbt assembly -Dsbt.rootdir=true;

# Use the Official OpenJDK image for a lean production stage of our multi-stage build.
# https://hub.docker.com/_/openjdk
# https://docs.docker.com/develop/develop-images/multistage-build/#use-multi-stage-builds
FROM openjdk:8-jre-alpine

# Copy the jar to the production image from the builder stage.
COPY --from=builder /app/target/scala-2.12/*-assembly.jar /comet.jar
COPY --from=builder /usr/local/spark-3.0.1/spark-3.0.1-bin-hadoop2.7/jars/* /lib/

EXPOSE 9000
# Run the web service on container startup.
CMD ["java", "-cp","/comet.jar:/lib/*", "ai.starlake.services.launch.Application"]