Develop your Rust application
Prerequisites
- You have installed the latest version of Docker Desktop.
- You have completed the walkthroughs in the Docker Desktop Learning Center to learn about Docker concepts.
- You have a git client. The examples in this section use a command-line based git client, but you can use any client.
Overview
In this section, you’ll learn how to use volumes and networking in Docker. You’ll also use Docker to build your images and Docker Compose to make everything a whole lot easier.
First, you’ll take a look at running a database in a container and how you can use volumes and networking to persist your data and let your application talk with the database. Then you’ll pull everything together into a Compose file which lets you set up and run a local development environment with one command.
Run a database in a container
Instead of downloading PostgreSQL, installing, configuring, and then running the PostgreSQL database as a service, you can use the Docker Official Image for PostgreSQL and run it in a container.
Before you run PostgreSQL in a container, create a volume that Docker can manage to store your persistent data and configuration. Use the named volumes feature that Docker provides instead of using bind mounts.
Run the following command to create your volume.
$ docker volume create db-data
Now create a network that your application and database will use to talk to each other. The network is called a user-defined bridge network and gives you a nice DNS lookup service which you can use when creating your connection string.
$ docker network create postgresnet
Now you can run PostgreSQL in a container and attach to the volume and network that you created previously. Docker pulls the image from Hub and runs it for you locally.
In the following command, option --mount
is for starting the container with a volume. For more information, see
Docker volumes.
$ docker run --rm -d --mount \
"type=volume,src=db-data,target=/var/lib/postgresql/data" \
-p 5432:5432 \
--network postgresnet \
--name db \
-e POSTGRES_PASSWORD=mysecretpassword \
-e POSTGRES_DB=example \
postgres
Now, make sure that your PostgreSQL database is running and that you can connect to it. Connect to the running PostgreSQL database inside the container.
$ docker exec -it db psql -U postgres
You should see output like the following.
psql (15.3 (Debian 15.3-1.pgdg110+1))
Type "help" for help.
postgres=#
In the previous command, you logged in to the PostgreSQL database by passing the psql
command to the db
container. Press ctrl-d to exit the PostgreSQL interactive terminal.
Get and run the sample application
For the sample application, you'll use a variation of the backend from the react-rust-postgres application from Awesome Compose.
-
Clone the sample application repository using the following command.
$ git clone https://github.com/docker/docker-rust-postgres
-
In the cloned repository's directory, run
docker init
to create the necessary Docker files. Refer to the following example to answer the prompts fromdocker init
.$ docker init Welcome to the Docker Init CLI! This utility will walk you through creating the following files with sensible defaults for your project: - .dockerignore - Dockerfile - compose.yaml - README.Docker.md Let's get started! ? What application platform does your project use? Rust ? What version of Rust do you want to use? 1.70.0 ? What port does your server listen on? 8000
-
In the cloned repository's directory, open the
Dockerfile
in an IDE or text editor to update it.docker init
handled creating most of the instructions in the Dockerfile, but you'll need to update it for your unique application. In addition to asrc
directory, this application includes amigrations
directory to initialize the database. Add a bind mount for themigrations
directory to the build stage in the Dockerfile. The following is the updated Dockerfile.# syntax=docker/dockerfile:1 # Comments are provided throughout this file to help you get started. # If you need more help, visit the Dockerfile reference guide at # https://docs.docker.com/reference/dockerfile/ ################################################################################ # Create a stage for building the application. ARG RUST_VERSION=1.70.0 ARG APP_NAME=react-rust-postgres FROM rust:${RUST_VERSION}-slim-bullseye AS build ARG APP_NAME WORKDIR /app # Build the application. # Leverage a cache mount to /usr/local/cargo/registry/ # for downloaded dependencies and a cache mount to /app/target/ for # compiled dependencies which will speed up subsequent builds. # Leverage a bind mount to the src directory to avoid having to copy the # source code into the container. Once built, copy the executable to an # output directory before the cache mounted /app/target is unmounted. RUN --mount=type=bind,source=src,target=src \ --mount=type=bind,source=Cargo.toml,target=Cargo.toml \ --mount=type=bind,source=Cargo.lock,target=Cargo.lock \ --mount=type=cache,target=/app/target/ \ --mount=type=cache,target=/usr/local/cargo/registry/ \ --mount=type=bind,source=migrations,target=migrations \ <<EOF set -e cargo build --locked --release cp ./target/release/$APP_NAME /bin/server EOF ################################################################################ # Create a new stage for running the application that contains the minimal # runtime dependencies for the application. This often uses a different base # image from the build stage where the necessary files are copied from the build # stage. # # The example below uses the debian bullseye image as the foundation for running the app. # By specifying the "bullseye-slim" tag, it will also use whatever happens to be the # most recent version of that tag when you build your Dockerfile. If # reproducibility is important, consider using a digest # (e.g., debian@sha256:ac707220fbd7b67fc19b112cee8170b41a9e97f703f588b2cdbbcdcecdd8af57). FROM debian:bullseye-slim AS final # Create a non-privileged user that the app will run under. # See https://docs.docker.com/develop/develop-images/dockerfile_best-practices/ #user ARG UID=10001 RUN adduser \ --disabled-password \ --gecos "" \ --home "/nonexistent" \ --shell "/sbin/nologin" \ --no-create-home \ --uid "${UID}" \ appuser USER appuser # Copy the executable from the "build" stage. COPY --from=build /bin/server /bin/ # Expose the port that the application listens on. EXPOSE 8000 # What the container should run when it is started. CMD ["/bin/server"]
-
In the cloned repository's directory, run
docker build
to build the image.$ docker build -t rust-backend-image .
-
Run
docker run
with the following options to run the image as a container on the same network as the database.$ docker run \ --rm -d \ --network postgresnet \ --name docker-develop-rust-container \ -p 3001:8000 \ -e PG_DBNAME=example \ -e PG_HOST=db \ -e PG_USER=postgres \ -e PG_PASSWORD=mysecretpassword \ -e ADDRESS=0.0.0.0:8000 \ -e RUST_LOG=debug \ rust-backend-image
-
Curl the application to verify that it connects to the database.
$ curl http://localhost:3001/users
You should get a response like the following.
[{ "id": 1, "login": "root" }]
Use Compose to develop locally
When you run docker init
, in addition to a Dockerfile
, it also creates a compose.yaml
file.
This Compose file is super convenient as you don't have to type all the parameters to pass to the docker run
command. You can declaratively do that using a Compose file.
In the cloned repository's directory, open the compose.yaml
file in an IDE or text editor. docker init
handled creating most of the instructions, but you'll need to update it for your unique application.
You need to update the following items in the compose.yaml
file:
- Uncomment all of the database instructions.
- Add the environment variables under the server service.
The following is the updated compose.yaml
file.
# Comments are provided throughout this file to help you get started.
# If you need more help, visit the Docker compose reference guide at
# https://docs.docker.com/reference/compose-file/
# Here the instructions define your application as a service called "server".
# This service is built from the Dockerfile in the current directory.
# You can add other services your application may depend on here, such as a
# database or a cache. For examples, see the Awesome Compose repository:
# https://github.com/docker/awesome-compose
services:
server:
build:
context: .
target: final
ports:
- 8000:8000
environment:
- PG_DBNAME=example
- PG_HOST=db
- PG_USER=postgres
- PG_PASSWORD=mysecretpassword
- ADDRESS=0.0.0.0:8000
- RUST_LOG=debug
# The commented out section below is an example of how to define a PostgreSQL
# database that your application can use. `depends_on` tells Docker Compose to
# start the database before your application. The `db-data` volume persists the
# database data between container restarts. The `db-password` secret is used
# to set the database password. You must create `db/password.txt` and add
# a password of your choosing to it before running `docker compose up`.
depends_on:
db:
condition: service_healthy
db:
image: postgres
restart: always
user: postgres
secrets:
- db-password
volumes:
- db-data:/var/lib/postgresql/data
environment:
- POSTGRES_DB=example
- POSTGRES_PASSWORD_FILE=/run/secrets/db-password
expose:
- 5432
healthcheck:
test: ["CMD", "pg_isready"]
interval: 10s
timeout: 5s
retries: 5
volumes:
db-data:
secrets:
db-password:
file: db/password.txt
Note that the file doesn't specify a network for those 2 services. When you use Compose, it automatically creates a network and connects the services to it. For more information see Networking in Compose.
Before you run the application using Compose, notice that this Compose file specifies a password.txt
file to hold the database's password. You must create this file as it's not included in the source repository.
In the cloned repository's directory, create a new directory named db
and inside that directory create a file named password.txt
that contains the password for the database. Using your favorite IDE or text editor, add the following contents to the password.txt
file.
mysecretpassword
If you have any other containers running from the previous sections, stop them now.
Now, run the following docker compose up
command to start your application.
$ docker compose up --build
The command passes the --build
flag so Docker will compile your image and then start the containers.
Now test your API endpoint. Open a new terminal then make a request to the server using the curl commands:
$ curl http://localhost:8000/users
You should receive the following response:
[{ "id": 1, "login": "root" }]
Summary
In this section, you took a look at setting up your Compose file to run your Rust application and database with a single command.
Related information:
Next steps
In the next section, you'll take a look at how to set up a CI/CD pipeline using GitHub Actions.