Images之Dockerfiles
Best practices for writing Dockerfiles
This document covers recommended best practices and methods for building efficient images.
Docker builds images automatically by reading the instructions from a Dockerfile
-- a text file that contains all commands, in order, needed to build a given image.
A Dockerfile
adheres to a specific format and set of instructions which you can find at Dockerfile reference.
A Docker image consists of read-only layers each of which represents a Dockerfile instruction.
The layers are stacked and each one is a delta of the changes from the previous layer.
Consider this Dockerfile
:
FROM ubuntu:15.04 COPY . /app RUN make /app CMD python /app/app.py
Each instruction creates one layer:
FROM
creates a layer from theubuntu:15.04
Docker image.COPY
adds files from your Docker client’s current directory.RUN
builds your application withmake
.CMD
specifies what command to run within the container.
When you run an image and generate a container, you add a new writable layer (the “container layer”) on top of the underlying layers.
All changes made to the running container, such as writing new files, modifying existing files, and deleting files, are written to this thin writable container layer.
For more on image layers (and how Docker builds and stores images), see About storage drivers.
General guidelines and recommendations
Create ephemeral containers
The image defined by your Dockerfile
should generate containers that are as ephemeral as possible.
By “ephemeral,” we mean that the container can be stopped and destroyed, then rebuilt and replaced with an absolute minimum set up and configuration.
Refer to Processes under The Twelve-factor App methodology to get a feel for the motivations of running containers in such a stateless fashion.
Understand build context
When you issue a docker build
command, the current working directory is called the build context.
By default, the Dockerfile is assumed to be located here, but you can specify a different location with the file flag (-f
).
Regardless of where the Dockerfile
actually lives, all recursive contents of files and directories in the current directory are sent to the Docker daemon as the build context.
Build context example
Create a directory for the build context and
cd
into it. Write “hello” into a text file namedhello
and create a Dockerfile that runscat
on it. Build the image from within the build context (.
):mkdir myproject && cd myproject echo "hello" > hello echo -e "FROM busybox\nCOPY /hello /\nRUN cat /hello" > Dockerfile docker build -t helloapp:v1 .
Move
Dockerfile
andhello
into separate directories and build a second version of the image (without relying on cache from the last build). Use-f
to point to the Dockerfile and specify the directory of the build context:mkdir -p dockerfiles context mv Dockerfile dockerfiles && mv hello context docker build --no-cache -t helloapp:v2 -f dockerfiles/Dockerfile context
Inadvertently including files that are not necessary for building an image results in a larger build context and larger image size.
This can increase the time to build the image, time to pull and push it, and the container runtime size.
To see how big your build context is, look for a message like this when building your Dockerfile
:
Sending build context to Docker daemon 187.8MB
Pipe Dockerfile through stdin
Docker 17.05 added the ability to build images by piping Dockerfile
through stdin
with a local or remote build-context.
In earlier versions, building an image with a Dockerfile
from stdin
did not send the build-context.
Docker 17.04 and lower
docker build -t foo -<<EOF FROM busybox RUN echo "hello world" EOF
Docker 17.05 and higher (local build-context)
docker build -t foo . -f-<<EOF FROM busybox RUN echo "hello world" COPY . /my-copied-files EOF
Docker 17.05 and higher (remote build-context)
docker build -t foo https://github.com/thajeztah/pgadmin4-docker.git -f-<<EOF FROM busybox COPY LICENSE config_local.py /usr/local/lib/python2.7/site-packages/pgadmin4/ EOF
Exclude with .dockerignore
To exclude files not relevant to the build (without restructuring your source repository) use a .dockerignore
file.
This file supports exclusion patterns similar to .gitignore
files.
For information on creating one, see the .dockerignore file.
Use multi-stage builds
Multi-stage builds (in Docker 17.05 or higher) allow you to drastically reduce the size of your final image, without struggling to reduce the number of intermediate layers and files.
Because an image is built during the final stage of the build process, you can minimize image layers by leveraging build cache.
For example, if your build contains several layers, you can order them from the less frequently changed (to ensure the build cache is reusable) to the more frequently changed:
-
Install tools you need to build your application
-
Install or update library dependencies
-
Generate your application
A Dockerfile for a Go application could look like:
FROM golang:1.9.2-alpine3.6 AS build # Install tools required for project # Run `docker build --no-cache .` to update dependencies RUN apk add --no-cache git RUN go get github.com/golang/dep/cmd/dep # List project dependencies with Gopkg.toml and Gopkg.lock # These layers are only re-built when Gopkg files are updated COPY Gopkg.lock Gopkg.toml /go/src/project/ WORKDIR /go/src/project/ # Install library dependencies RUN dep ensure -vendor-only # Copy the entire project and build it # This layer is rebuilt when a file changes in the project directory COPY . /go/src/project/ RUN go build -o /bin/project # This results in a single layer image FROM scratch COPY --from=build /bin/project /bin/project ENTRYPOINT ["/bin/project"] CMD ["--help"]
Don’t install unnecessary packages
To reduce complexity, dependencies, file sizes, and build times, avoid installing extra or unnecessary packages just because they might be “nice to have.”
For example, you don’t need to include a text editor in a database image.
Decouple applications
Each container should have only one concern.
Decoupling applications into multiple containers makes it easier to scale horizontally and reuse containers.
For instance, a web application stack might consist of three separate containers, each with its own unique image, to manage the web application, database, and an in-memory cache in a decoupled manner.
Limiting each container to one process is a good rule of thumb, but it is not a hard and fast rule.
For example, not only can containers be spawned with an init process, some programs might spawn additional processes of their own accord.
For instance, Celery can spawn multiple worker processes, and Apache can create one process per request.
Use your best judgment to keep containers as clean and modular as possible.
If containers depend on each other, you can use Docker container networks to ensure that these containers can communicate.
Minimize the number of layers
In older versions of Docker, it was important that you minimized the number of layers in your images to ensure they were performant.
The following features were added to reduce this limitation:
-
In Docker 1.10 and higher, only the instructions
RUN
,COPY
,ADD
create layers. Other instructions create temporary intermediate images, and do not directly increase the size of the build. -
In Docker 17.05 and higher, you can do multi-stage builds and only copy the artifacts you need into the final image. This allows you to include tools and debug information in your intermediate build stages without increasing the size of the final image.
Sort multi-line arguments
Whenever possible, ease later changes by sorting multi-line arguments alphanumerically.
This helps to avoid duplication of packages and make the list much easier to update.
This also makes PRs a lot easier to read and review.
Adding a space before a backslash (\
) helps as well.
Here’s an example from the buildpack-deps
image:
RUN apt-get update && apt-get install -y \ bzr \ cvs \ git \ mercurial \ subversion
Leverage build cache
When building an image, Docker steps through the instructions in your Dockerfile
, executing each in the order specified.
As each instruction is examined, Docker looks for an existing image in its cache that it can reuse, rather than creating a new (duplicate) image.
If you do not want to use the cache at all, you can use the --no-cache=true
option on the docker build
command.
However, if you do let Docker use its cache, it is important to understand when it can, and cannot, find a matching image.
The basic rules that Docker follows are outlined below:
-
Starting with a parent image that is already in the cache, the next instruction is compared against all child images derived from that base image to see if one of them was built using the exact same instruction. If not, the cache is invalidated.
-
In most cases, simply comparing the instruction in the
Dockerfile
with one of the child images is sufficient. However, certain instructions require more examination and explanation. -
For the
ADD
andCOPY
instructions, the contents of the file(s) in the image are examined and a checksum is calculated for each file. The last-modified and last-accessed times of the file(s) are not considered in these checksums. During the cache lookup, the checksum is compared against the checksum in the existing images. If anything has changed in the file(s), such as the contents and metadata, then the cache is invalidated. -
Aside from the
ADD
andCOPY
commands, cache checking does not look at the files in the container to determine a cache match. For example, when processing aRUN apt-get -y update
command the files updated in the container are not examined to determine if a cache hit exists. In that case just the command string itself is used to find a match.
Once the cache is invalidated, all subsequent Dockerfile
commands generate new images and the cache is not used.
Dockerfile instructions
These recommendations are designed to help you create an efficient and maintainable Dockerfile
.
FROM
Dockerfile reference for the FROM instruction
Whenever possible, use current official repositories as the basis for your images.
We recommend the Alpine image as it is tightly controlled and small in size (currently under 5 MB), while still being a full Linux distribution.
LABEL
You can add labels to your image to help organize images by project, record licensing information, to aid in automation, or for other reasons.
For each label, add a line beginning with LABEL
and with one or more key-value pairs.
The following examples show the different acceptable formats. Explanatory comments are included inline.
Strings with spaces must be quoted or the spaces must be escaped. Inner quote characters (
"
), must also be escaped.
# Set one or more individual labels LABEL com.example.version="0.0.1-beta" LABEL vendor1="ACME Incorporated" LABEL vendor2=ZENITH\ Incorporated LABEL com.example.release-date="2015-02-12" LABEL com.example.version.is-production=""
An image can have more than one label.
Prior to Docker 1.10, it was recommended to combine all labels into a single LABEL
instruction, to prevent extra layers from being created.
This is no longer necessary, but combining labels is still supported.
# Set multiple labels on one line LABEL com.example.version="0.0.1-beta" com.example.release-date="2015-02-12"
The above can also be written as:
# Set multiple labels at once, using line-continuation characters to break long lines LABEL vendor=ACME\ Incorporated \ com.example.is-beta= \ com.example.is-production="" \ com.example.version="0.0.1-beta" \ com.example.release-date="2015-02-12"
See Understanding object labels for guidelines about acceptable label keys and values.
For information about querying labels, refer to the items related to filtering in Managing labels on objects.
See also LABEL in the Dockerfile reference.
RUN
Dockerfile reference for the RUN instruction
Split long or complex RUN
statements on multiple lines separated with backslashes to make your Dockerfile
more readable, understandable, and maintainable.
apt-get
Probably the most common use-case for RUN
is an application of apt-get
.Because it installs packages, the RUN apt-get
command has several gotchas to look out for.
Avoid RUN apt-get upgrade
and dist-upgrade
, as many of the “essential” packages from the parent images cannot upgrade inside an unprivileged container.
If a package contained in the parent image is out-of-date, contact its maintainers.
If you know there is a particular package, foo
, that needs to be updated, use apt-get install -y foo
to update automatically.
Always combine RUN apt-get update
with apt-get install
in the same RUN
statement.
For example:
RUN apt-get update && apt-get install -y \ package-bar \ package-baz \ package-foo
Using apt-get update
alone in a RUN
statement causes caching issues and subsequent apt-get install
instructions fail.
For example, say you have a Dockerfile:
FROM ubuntu:14.04 RUN apt-get update RUN apt-get install -y curl
After building the image, all layers are in the Docker cache. Suppose you later modify apt-get install
by adding extra package:
FROM ubuntu:14.04 RUN apt-get update RUN apt-get install -y curl nginx
Docker sees the initial and modified instructions as identical and reuses the cache from previous steps. As a result the apt-get update
is not executed because the build uses the cached version. Because the apt-get update
is not run, your build can potentially get an outdated version of the curl
and nginx
packages.
Using RUN apt-get update && apt-get install -y
ensures your Dockerfile installs the latest package versions with no further coding or manual intervention. This technique is known as “cache busting”. You can also achieve cache-busting by specifying a package version. This is known as version pinning, for example:
RUN apt-get update && apt-get install -y \ package-bar \ package-baz \ package-foo=1.3.*
Version pinning forces the build to retrieve a particular version regardless of what’s in the cache. This technique can also reduce failures due to unanticipated changes in required packages.
Below is a well-formed RUN
instruction that demonstrates all the apt-get
recommendations.
RUN apt-get update && apt-get install -y \ aufs-tools \ automake \ build-essential \ curl \ dpkg-sig \ libcap-dev \ libsqlite3-dev \ mercurial \ reprepro \ ruby1.9.1 \ ruby1.9.1-dev \ s3cmd=1.1.* \ && rm -rf /var/lib/apt/lists/*
The s3cmd
instructions specifies a version 1.1.*
. If the image previously used an older version, specifying the new one causes a cache bust of apt-get update
and ensure the installation of the new version. Listing packages on each line can also prevent mistakes in package duplication.
In addition, when you clean up the apt cache by removing /var/lib/apt/lists
reduces the image size, since the apt cache is not stored in a layer. Since the RUN
statement starts with apt-get update
, the package cache is always refreshed prior to apt-get install
.
Official Debian and Ubuntu images automatically run
apt-get clean
, so explicit invocation is not required.
Using pipes
Some RUN
commands depend on the ability to pipe the output of one command into another, using the pipe character (|
), as in the following example:
RUN wget -O - https://some.site | wc -l > /number
Docker executes these commands using the /bin/sh -c
interpreter, which only evaluates the exit code of the last operation in the pipe to determine success. In the example above this build step succeeds and produces a new image so long as the wc -l
command succeeds, even if the wget
command fails.
If you want the command to fail due to an error at any stage in the pipe, prepend set -o pipefail &&
to ensure that an unexpected error prevents the build from inadvertently succeeding. For example:
RUN set -o pipefail && wget -O - https://some.site | wc -l > /number
Not all shells support the
-o pipefail
option.In such cases (such as the
dash
shell, which is the default shell on Debian-based images), consider using the exec form ofRUN
to explicitly choose a shell that does support thepipefail
option. For example:RUN ["/bin/bash", "-c", "set -o pipefail && wget -O - https://some.site | wc -l > /number"]
CMD
The CMD
instruction should be used to run the software contained by your image, along with any arguments.
CMD
should almost always be used in the form of CMD [“executable”, “param1”, “param2”…]
.
Thus, if the image is for a service, such as Apache and Rails, you would run something like CMD ["apache2","-DFOREGROUND"]
. Indeed, this form of the instruction is recommended for any service-based image.
In most other cases, CMD
should be given an interactive shell, such as bash, python and perl. For example, CMD ["perl", "-de0"]
, CMD ["python"]
, or CMD [“php”, “-a”]
. Using this form means that when you execute something like docker run -it python
, you’ll get dropped into a usable shell, ready to go. CMD
should rarely be used in the manner of CMD [“param”, “param”]
in conjunction with ENTRYPOINT
, unless you and your expected users are already quite familiar with how ENTRYPOINT
works.
EXPOSE
The EXPOSE
instruction indicates the ports on which a container listens for connections. Consequently, you should use the common, traditional port for your application. For example, an image containing the Apache web server would use EXPOSE 80
, while an image containing MongoDB would use EXPOSE 27017
and so on.
For external access, your users can execute docker run
with a flag indicating how to map the specified port to the port of their choice. For container linking, Docker provides environment variables for the path from the recipient container back to the source (ie, MYSQL_PORT_3306_TCP
).
ENV
To make new software easier to run, you can use ENV
to update the PATH
environment variable for the software your container installs.
For example, ENV PATH /usr/local/nginx/bin:$PATH
ensures that CMD [“nginx”]
just works.
The ENV
instruction is also useful for providing required environment variables specific to services you wish to containerize, such as Postgres’s PGDATA
.
Lastly, ENV
can also be used to set commonly used version numbers so that version bumps are easier to maintain, as seen in the following example:
ENV PG_MAJOR 9.3 ENV PG_VERSION 9.3.4 RUN curl -SL http://example.com/postgres-$PG_VERSION.tar.xz | tar -xJC /usr/src/postgress && … ENV PATH /usr/local/postgres-$PG_MAJOR/bin:$PATH
Similar to having constant variables in a program (as opposed to hard-coding values), this approach lets you change a single ENV
instruction to auto-magically bump the version of the software in your container.
Each ENV
line creates a new intermediate layer, just like RUN
commands. This means that even if you unset the environment variable in a future layer, it still persists in this layer and its value can be dumped. You can test this by creating a Dockerfile like the following, and then building it.
FROM alpine ENV ADMIN_USER="mark" RUN echo $ADMIN_USER > ./mark RUN unset ADMIN_USER CMD sh
$ docker run --rm -it test sh echo $ADMIN_USER mark
To prevent this, and really unset the environment variable, use a RUN
command with shell commands, to set, use, and unset the variable all in a single layer.
You can separate your commands with ;
or &&
.
If you use the second method, and one of the commands fails, the docker build
also fails. This is usually a good idea.
Using \
as a line continuation character for Linux Dockerfiles improves readability.
You could also put all of the commands into a shell script and have the RUN
command just run that shell script.
FROM alpine RUN export ADMIN_USER="mark" \ && echo $ADMIN_USER > ./mark \ && unset ADMIN_USER CMD sh
$ docker run --rm -it test sh echo $ADMIN_USER
ADD or COPY
Although ADD
and COPY
are functionally similar, generally speaking, COPY
is preferred. That’s because it’s more transparent than ADD
.
COPY
only supports the basic copying of local files into the container, while ADD
has some features (like local-only tar extraction and remote URL support) that are not immediately obvious.
Consequently, the best use for ADD
is local tar file auto-extraction into the image, as in ADD rootfs.tar.xz /
.
If you have multiple Dockerfile
steps that use different files from your context, COPY
them individually, rather than all at once. This ensures that each step’s build cache is only invalidated (forcing the step to be re-run) if the specifically required files change.
For example:
COPY requirements.txt /tmp/ RUN pip install --requirement /tmp/requirements.txt COPY . /tmp/
Results in fewer cache invalidations for the RUN
step, than if you put the COPY . /tmp/
before it.
Because image size matters, using ADD
to fetch packages from remote URLs is strongly discouraged; you should use curl
or wget
instead. That way you can delete the files you no longer need after they’ve been extracted and you don’t have to add another layer in your image. For example, you should avoid doing things like:
ADD http://example.com/big.tar.xz /usr/src/things/ RUN tar -xJf /usr/src/things/big.tar.xz -C /usr/src/things RUN make -C /usr/src/things all
And instead, do something like:
RUN mkdir -p /usr/src/things \ && curl -SL http://example.com/big.tar.xz \ | tar -xJC /usr/src/things \ && make -C /usr/src/things all
For other items (files, directories) that do not require ADD
’s tar auto-extraction capability, you should always use COPY
.
ENTRYPOINT
Dockerfile reference for the ENTRYPOINT instruction
The best use for ENTRYPOINT
is to set the image’s main command, allowing that image to be run as though it was that command (and then use CMD
as the default flags).
Let’s start with an example of an image for the command line tool s3cmd
:
ENTRYPOINT ["s3cmd"] CMD ["--help"]
Now the image can be run like this to show the command’s help:
$ docker run s3cmd
Or using the right parameters to execute a command:
$ docker run s3cmd ls s3://mybucket
This is useful because the image name can double as a reference to the binary as shown in the command above.
The ENTRYPOINT
instruction can also be used in combination with a helper script, allowing it to function in a similar way to the command above, even when starting the tool may require more than one step.
For example, the Postgres Official Image uses the following script as its ENTRYPOINT
:
#!/bin/bash set -e if [ "$1" = 'postgres' ]; then chown -R postgres "$PGDATA" if [ -z "$(ls -A "$PGDATA")" ]; then gosu postgres initdb fi exec gosu postgres "$@" fi exec "$@"
Configure app as PID 1
This script uses the
exec
Bash command so that the final running application becomes the container’s PID 1. This allows the application to receive any Unix signals sent to the container. For more, see theENTRYPOINT
reference.
The helper script is copied into the container and run via ENTRYPOINT
on container start:
COPY ./docker-entrypoint.sh / ENTRYPOINT ["/docker-entrypoint.sh"] CMD ["postgres"]
This script allows the user to interact with Postgres in several ways.
It can simply start Postgres:
$ docker run postgres
Or, it can be used to run Postgres and pass parameters to the server:
$ docker run postgres postgres --help
Lastly, it could also be used to start a totally different tool, such as Bash:
$ docker run --rm -it postgres bash
VOLUME
Dockerfile reference for the VOLUME instruction
The VOLUME
instruction should be used to expose any database storage area, configuration storage, or files/folders created by your docker container.
You are strongly encouraged to use VOLUME
for any mutable and/or user-serviceable parts of your image.
USER
Dockerfile reference for the USER instruction
If a service can run without privileges, use USER
to change to a non-root user.
Start by creating the user and group in the Dockerfile
with something like RUN groupadd -r postgres && useradd --no-log-init -r -g postgres postgres
.
Consider an explicit UID/GID
Users and groups in an image are assigned a non-deterministic UID/GID in that the “next” UID/GID is assigned regardless of image rebuilds. So, if it’s critical, you should assign an explicit UID/GID.
Due to an unresolved bug in the Go archive/tar package’s handling of sparse files, attempting to create a user with a significantly large UID inside a Docker container can lead to disk exhaustion because
/var/log/faillog
in the container layer is filled with NULL (\0) characters. A workaround is to pass the--no-log-init
flag to useradd. The Debian/Ubuntuadduser
wrapper does not support this flag.
Avoid installing or using sudo
as it has unpredictable TTY and signal-forwarding behavior that can cause problems.
If you absolutely need functionality similar to sudo
, such as initializing the daemon as root
but running it as non-root
), consider using “gosu”.
Lastly, to reduce layers and complexity, avoid switching USER
back and forth frequently.
WORKDIR
Dockerfile reference for the WORKDIR instruction
For clarity and reliability, you should always use absolute paths for your WORKDIR
. Also, you should use WORKDIR
instead of proliferating instructions like RUN cd … && do-something
, which are hard to read, troubleshoot, and maintain.
ONBUILD
Dockerfile reference for the ONBUILD instruction
An ONBUILD
command executes after the current Dockerfile
build completes.
ONBUILD
executes in any child image derived FROM
the current image.
Think of the ONBUILD
command as an instruction the parent Dockerfile
gives to the child Dockerfile
.
A Docker build executes ONBUILD
commands before any command in a child Dockerfile
.
ONBUILD
is useful for images that are going to be built FROM
a given image. For example, you would use ONBUILD
for a language stack image that builds arbitrary user software written in that language within the Dockerfile
, as you can see in Ruby’s ONBUILD
variants.
Images built from ONBUILD
should get a separate tag, for example: ruby:1.9-onbuild
or ruby:2.0-onbuild
.
Be careful when putting ADD
or COPY
in ONBUILD
.
The “onbuild” image fails catastrophically if the new build’s context is missing the resource being added.
Adding a separate tag, as recommended above, helps mitigate this by allowing the Dockerfile
author to make a choice.
Examples for Official Repositories
These Official Repositories have exemplary Dockerfile
s:
Additional resources:
- Dockerfile Reference
- More about Base Images
- More about Automated Builds
- Guidelines for Creating Official Repositories