Make sure you have already installed both Docker Engine and the Docker Compose Plugin. You don't need to install Python or Redis, as both are provided by Docker images.
Define the application dependencies.
- Create a directory for the project:
$ mkdir composetest
$ cd composetest
- Create a file called
app.pyin your project directory and paste this in:
import time
import redis
from flask import Flask
app = Flask(__name__)
cache = redis.Redis(host='redis', port=6379)
def get_hit_count():
retries = 5
while True:
try:
return cache.incr('hits')
except redis.exceptions.ConnectionError as exc:
if retries == 0:
raise exc
retries -= 1
time.sleep(0.5)
@app.route('/')
def hello():
count = get_hit_count()
return 'Hello World! I have been seen {} times.\n'.format(count)
In this example, redis is the hostname of the redis container on the application's network. We use the default port for Redis, 6379.
-
Create another file called
requirements.txtin your project directory and paste this in:flask redis
In this step, you write a Dockerfile that builds a Docker image. The image contains all the dependencies the Python application requires, including Python itself.
In your project directory, create a file named Dockerfile and paste the
following:
FROM python:3.7-alpine
WORKDIR /code
ENV FLASK_APP app.py
ENV FLASK_RUN_HOST 0.0.0.0
RUN apk add --no-cache gcc musl-dev linux-headers
COPY requirements.txt requirements.txt
RUN pip install -r requirements.txt
COPY . .
CMD ["flask", "run"]
This tells Docker to:
- Build an image starting with the Python 3.7 image.
- Set the working directory to
/code. - Set environment variables used by the
flaskcommand. - Install gcc so Python packages such as MarkupSafe and SQLAlchemy can compile speedups.
- Copy
requirements.txtand install the Python dependencies. - Copy the current directory
.in the project to the workdir.in the image. - Set the default command for the container to
flask run.
Create a file called docker-compose.yml in your project directory and paste
the following:
version: '3'
services:
web:
build: .
ports:
- "8080:5000"
redis:
image: "redis:alpine"
This Compose file defines two services: web and redis.
The web service uses an image that's built from the Dockerfile in the current directory.
It then binds the container and the host machine port 8080 to the exposed port, 5000. This example service uses the default port for
the Flask web server, 5000.
The redis service uses a public Redis
image pulled from the Docker Hub registry.
- From your project directory, start up your application by running
docker compose up.
$ docker compose up
Creating network "composetest_default" with the default driver
Creating composetest_web_1 ...
Creating composetest_redis_1 ...
Creating composetest_web_1
Creating composetest_redis_1 ... done
Attaching to composetest_web_1, composetest_redis_1
web_1 | * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
redis_1 | 1:C 17 Aug 22:11:10.480 # oO0OoO0OoO0Oo Redis is starting oO0OoO0OoO0Oo
redis_1 | 1:C 17 Aug 22:11:10.480 # Redis version=4.0.1, bits=64, commit=00000000, modified=0, pid=1, just started
redis_1 | 1:C 17 Aug 22:11:10.480 # Warning: no config file specified, using the default config. In order to specify a config file use redis-server /path/to/redis.conf
web_1 | * Restarting with stat
redis_1 | 1:M 17 Aug 22:11:10.483 * Running mode=standalone, port=6379.
redis_1 | 1:M 17 Aug 22:11:10.483 # WARNING: The TCP backlog setting of 511 cannot be enforced because /proc/sys/net/core/somaxconn is set to the lower value of 128.
web_1 | * Debugger is active!
redis_1 | 1:M 17 Aug 22:11:10.483 # Server initialized
redis_1 | 1:M 17 Aug 22:11:10.483 # WARNING you have Transparent Huge Pages (THP) support enabled in your kernel. This will create latency and memory usage issues with Redis. To fix this issue run the command 'echo never > /sys/kernel/mm/transparent_hugepage/enabled' as root, and add it to your /etc/rc.local in order to retain the setting after a reboot. Redis must be restarted after THP is disabled.
web_1 | * Debugger PIN: 330-787-903
redis_1 | 1:M 17 Aug 22:11:10.483 * Ready to accept connections
Compose pulls a Redis image, builds an image for your code, and starts the
services you defined. In this case, the code is statically copied into the image at build time.
-
Enter http://localhost:8080/ in a browser to see the application running.
If you're using Docker natively on Linux, Docker Desktop for Mac, or Docker Desktop for Windows, then the web app should now be listening on port 5000 on your Docker daemon host. Point your web browser to http://localhost:8080 to find the
Hello Worldmessage. If this doesn't resolve, you can also try http://127.0.0.1:8080.Hint: In AWS Cloud9 use
Tools -> Preview -> Preview running applicationsto open the browser on the appropriate remote address.You should see a message in your browser saying:
Hello World! I have been seen 1 times.
-
Refresh the page.
The number should increment.
Hello World! I have been seen 2 times.
-
Switch to another terminal window, and type
docker image lsto list local images.Listing images at this point should return
redisandweb.
$ docker image ls
REPOSITORY TAG IMAGE ID CREATED SIZE
composetest_web latest e2c21aa48cc1 4 minutes ago 93.8MB
python 3.4-alpine 84e6077c7ab6 7 days ago 82.5MB
redis alpine 9d8fa9aa0e5b 3 weeks ago 27.5MB
You can inspect images with `docker inspect <tag or id>`.
- Stop the application, either by running
docker compose downfrom within your project directory in the second terminal, or by hitting CTRL+C in the original terminal where you started the app.
Edit docker-compose.yml in your project directory to add a bind mount for the web service:
version: '3'
services:
web:
build: .
ports:
- "8080:5000"
volumes:
- .:/code
environment:
FLASK_ENV: development
redis:
image: "redis:alpine"
The new volumes key mounts the project directory (current directory) on the
host to /code inside the container, allowing you to modify the code on the
fly, without having to rebuild the image. The environment key sets the
FLASK_ENV environment variable, which tells flask run to run in development
mode and reload the code on change. This mode should only be used in development.
From your project directory, type docker compose up to build the app with the updated Compose file, and run it.
$ docker compose up
Creating network "composetest_default" with the default driver
Creating composetest_web_1 ...
Creating composetest_redis_1 ...
Creating composetest_web_1
Creating composetest_redis_1 ... done
Attaching to composetest_web_1, composetest_redis_1
web_1 | * Running on http://0.0.0.0:5000/ (Press CTRL+C to quit)
...
Check the Hello World message in a web browser again, and refresh to see the
count increment.
Because the application code is now mounted into the container using a volume, you can make changes to its code and see the changes instantly, without having to rebuild the image.
- Change the greeting in
app.pyand save it. For example, change theHello World!message toHello from Docker!:
return 'Hello from Docker! I have been seen {} times.\n'.format(count)
- Refresh the app in your browser. The greeting should be updated, and the counter should still be incrementing.
If you want to run your services in the background, you can pass the -d flag
(for "detached" mode) to docker compose up and use docker compose ps to
see what is currently running:
$ docker compose up -d
Starting composetest_redis_1...
Starting composetest_web_1...
$ docker compose ps
Name Command State Ports
-------------------------------------------------------------------
composetest_redis_1 /usr/local/bin/run Up
composetest_web_1 /bin/sh -c python app.py Up 8080->5000/tcp
The docker compose run command allows you to run one-off commands for your
services. For example, to see what environment variables are available to the
web service:
$ docker compose run web env
See docker compose --help to see other available commands.
If you started Compose with docker compose up -d, stop
your services once you've finished with them:
$ docker compose stop
You can bring everything down, removing the containers entirely, with the down
command. Pass --volumes to also remove the data volume used by the Redis
container:
$ docker compose down --volumes
At this point, you have seen the basics of how Compose works. Go to next section