Dockerfile
RUN instruction
source command
Docker
troubleshooting

Using the RUN instruction in a Dockerfile with 'source' does not work

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When working with Dockerfiles to automate the deployment of applications via containerization, you might encounter limitations or unexpected behavior with certain shell commands. One such challenge arises with using the RUN instruction, especially when attempting to leverage the source command inside a Dockerfile. This article delves into why using source with RUN may not yield the expected results, provides technical explanations, and offers best practices for achieving the desired outcomes.

Technical Explanations

Understanding RUN Instruction

In a Dockerfile, the RUN instruction executes commands in a new layer on top of the current image and commits the results. The resulting image is then used for the next step in the Dockerfile. A typical RUN command in a Dockerfile looks like this:

dockerfile
RUN <command>

Each RUN creates a temporary shell environment to execute the specified command. It's crucial to understand that RUN spawns each command in its own shell, isolated from previous and subsequent commands. This isolation is the central reason why the source command appears to behave unexpectedly.

Nature of the source Command

The source command is a feature of Unix-like operating system shells, like bash, used to execute commands from a file in the current shell environment. This means it can modify the environment by setting variables, changing directories, etc., which persist after the source command is finished.

bash
source /path/to/file

When you try to use source in a Dockerfile within a RUN instruction, like this:

dockerfile
RUN source /path/to/env.sh

you might notice that any environment changes (like setting or exporting variables) don't persist beyond the execution of that RUN command. This happens because Docker spawns a new shell for each RUN command, and these shells do not share environment changes.

Why source Doesn't Persist in Docker RUN

The isolation between different RUN commands is by design. Docker creates new layers for each command and the changes made within a layer do not propagate to the outer environment unless explicitly saved in the filesystem. Since source only affects the shell environment it runs in, and because the environment is not saved as part of the Docker image layer, any changes are lost once the RUN command completes.

Solutions and Alternatives

Using Environment Files

Instead of source, you can leverage files that Docker will load at container startup:

dockerfile
COPY .env /app/.env

And in your service container, you can specify the env_file in your docker-compose.yml (if applicable), or set environment variables during build time through an ARG or ENV instruction:

yaml
1services:
2  app:
3    env_file:
4      - .env

Using ARG and ENV

To pass environment variables during the build process, use the ARG instruction and define default values:

dockerfile
ARG MY_VAR=default_value
ENV MY_VAR=${MY_VAR}

You can override this argument during build:

bash
docker build --build-arg MY_VAR=my_value -t my_image .

Inline Commands

For setting environment variables or configurations that must occur at build time, use a single RUN layer with multiple commands:

dockerfile
RUN command1 && \
    command2 && \
    command3

Or use a shell script:

dockerfile
COPY setup.sh /setup.sh
RUN chmod +x /setup.sh && /setup.sh

Table: Key Concepts

Command/InstructionPurposePersistenceAdditional Notes
RUNExecute commands during buildNo persistence of shell environmentEach RUN in a new container layer
sourceExecute script in the current shellTemporary, not persisted in DockerUse eval for alternatives
ARGBuild-time variablesPassed during build, but not environmentUse ENV to persist as environment variables
ENVSet environment variables for a containerPersisted in container environmentAccessible from running container

Final Thoughts

Understanding Docker's build environment is crucial for efficiently working with Dockerfiles. The design of Docker's image layers necessitates alternative strategies to manage persistent configurations. Command chaining, leveraging environment files, or using Docker's built-in argument and environment variable handling mechanisms are effective approaches to address the limitations encountered with the RUN instruction and the source command. Debugging any issue often begins with a rich understanding of how environments behave inside Docker, guiding you toward effective solutions.


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