Creating Smaller Java Image using Docker Multi-stage Build
Two of the announcements at DockerCon 2017 directly relevant to Java developers are:
- Docker Multi-stage build
- Oracle JRE in Docker Store
This blog explains the purpose of Docker multi-stage build and provide examples of how they help us generate smaller and more efficient Java Docker images.
Just show me the code: github.com/arun-gupta/docker-java-multistage.
What is the issue?
Building a Docker image for a Java application typically involves building the application and package the generated artifact into an image. A Java developer would likely use Maven or Gradle to build a JAR or WAR file. If you are using the Maven base image to build the application then it will download the required dependencies from the configured repositories and keep them in the image. The number of JARs in the local repository could be significant depending upon the number of dependencies in the pom.xml
. This could leave a lot of cruft in the image.
Let’s take a look at a sample Dockerfile:
FROM maven:3.5-jdk-8 COPY src /usr/src/myapp/src COPY pom.xml /usr/src/myapp RUN mvn -f /usr/src/myapp/pom.xml clean package ENV WILDFLY_VERSION 10.1.0.Final ENV WILDFLY_HOME /usr RUN cd $WILDFLY_HOME && curl http://download.jboss.org/wildfly/$WILDFLY_VERSION/wildfly-$WILDFLY_VERSION.tar.gz | tar zx && mv $WILDFLY_HOME/wildfly-$WILDFLY_VERSION $WILDFLY_HOME/wildfly RUN cp /usr/src/myapp/target/people-1.0-SNAPSHOT.war $WILDFLY_HOME/wildfly/standalone/deployments/people.war EXPOSE 8080 CMD ["/usr/wildfly/bin/standalone.sh", "-b", "0.0.0.0"]
In this Dockerfile:
maven:3.5-jdk-8
is used as the base image- Application source code is copied to the image
- Maven is used to build the application artifact
- WildFly is downloaded and installed
- Generated artifact is copied to the
deployments
directory of WildFly - Finally, WildFly is started
There are several issues with this kind of flow:
- Using
maven
as the base image restricts on what functionality is available in the image. This requires WildFly to be downloaded and configured explicitly. - Building the artifact downloads all Maven dependencies. These stay in the image and are not needed at runtime. This causes an unnecessary bloat in the image size at runtime.
- Change in WildFly version will require to update the Dockerfile. This would’ve been much easier if we could use the
jboss/wildfly
base image by itself. - In addition, unit tests may run before packaging the artifact and integration tests after the image is created. The test dependencies and results is again not needed to live in the production image.
There are other ways to build the Docker image. For example, splitting the Dockerfile into two files. The first file will then build the artifact and copy the artifact to a common location using volume mapping. The second file will then pick up the generated artifact and then use the lean base image. This approach has also has issues where multiple Dockerfiles need to be maintained separately. Additional, there is an out-of-band hand-off between the two Dockerfiles.
Let’s see how these issues are resolved with multi-stage build.
What are Docker multi-stage build?
Multi-stage build allows multiple FROM
statements in a Dockerfile. The instructions following each FROM
statement and until the next one, creates an intermediate image. The final FROM
statement is the final base image. Artifacts from intermediate stages can be copied using COPY --from=<image-number>
, starting from 0 for the first base image. The artifacts not copied over are discarded. This allows to keep the final image lean and only include the relevant artifacts.
FROM
syntax is updated to specify stage name using as <stage-name>
. For example:
FROM maven:3.5-jdk-8 as BUILD
This allows to use the stage name instead of the number with --from
option.
Let’s take a look at a sample Dockerfile:
FROM maven:3.5-jdk-8 as BUILD COPY src /usr/src/myapp/src COPY pom.xml /usr/src/myapp RUN mvn -f /usr/src/myapp/pom.xml clean package FROM jboss/wildfly:10.1.0.Final COPY --from=BUILD /usr/src/myapp/target/people-1.0-SNAPSHOT.war /opt/jboss/wildfly/standalone/deployments/people.war
In this Dockerfile:
- There are two
FROM
instructions. This means this is a two-stage build. maven:3.5-jdk-8
is the base image for the first build. This is used to build the WAR file for the application. The first stage is named asBUILD
.jboss/wildfly:10.1.0.Final
is the second and the final base image for the build. WAR file generated in the first stage is copied over to this stage usingCOPY --from
syntax. The file is directly copied in the WildFly deployments directory.
Let’s take a look at what are some of the advantages of this approach.
Advantages of Docker multi-stage build
- One Dockerfile has the entire build process defined. There is no need to have separate Dockerfiles and then coordinate transfer of artifact between “build” Dockerfile and “run” Dockerfile using volume mapping.
- Base image for the final image can be chosen appropriately to meet the runtime needs. This helps with reduction of the overall size of the runtime image. Additionally, the cruft from build time is discarded during intermediate stage.
- Standard WildFly base image is used instead of downloading and configuring the distribution manually. This makes it a lot easier to update the image if a newer tag is released.
Size of the image built using a single Dockerfile is 816MB. In contrast, the size of the image built using multi-stage build is 584MB.
So, using a multi-stage helps create a much smaller image.
Sure, maven:jdk-8-alpine
image can be used. But then you’ll have to create or find a WildFly image built using jdk-8-alpine
, or something similar, as well. But the cruft, such as maven repository, two Dockerfiles, sharing of artifact using volume mapping or some other similar technique would still be there.
Read more discussion in PR #31257.
As mentioned earlier, the complete code for this is available at github.com/arun-gupta/docker-java-multistage.
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Reference: | Creating Smaller Java Image using Docker Multi-stage Build from our JCG partner Arun Gupta at the Miles to go 3.0 … blog. |