702ec96821
This approach uses bats to create a generic docker-compose test. It checks that images are pullable, projects are buildable, up works, and if ports are exposed that something is listening. The tests can be tailored for each example. As long as they are the same though, you can edit lib/test.bats.example and then `make update-tests` and all the tests will be synced. Signed-off-by: Chad Metcalf <chad@docker.com> |
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| .. | ||
| sparkjava | ||
| docker-compose.yaml | ||
| README.md | ||
| test.bats | ||
Compose sample application
Spark Java
Project structure:
.
├── docker-compose.yaml
├── README.md
└── sparkjava
├── Dockerfile
└── ...
version: "3.7"
services:
sparkjava:
build: sparkjava
ports:
- 8080:8080
The compose file defines an application with one service sparkjava.
When deploying the application, docker-compose maps port 8080 of the sparkjava service container to port 8080 of the host as specified in the file.
Make sure port 8080 on the host is not already being in use.
Deploy with docker-compose
$ docker-compose up -d
Creating network "sparkjava_default" with the default driver
Building sparkjava
Step 1/11 : FROM maven:3.6.3-jdk-11 AS build
3.6.3-jdk-11: Pulling from library/maven
...
Successfully tagged sparkjava_sparkjava:latest
WARNING: Image for service sparkjava was built because it did not already exist. To rebuild this image you must use `docker-compose build` or `docker-compose up --build`.
Creating sparkjava_sparkjava_1 ... done
Expected result
Listing containers must show two containers running and the port mapping as below:
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
5af94cb25394 sparkjava_sparkjava "/bin/sh -c 'java -j…" 20 seconds ago Up 19 seconds 0.0.0.0:8080->8080/tcp sparkjava_sparkjava_1
After the application starts, navigate to http://localhost:8080 in your web browser or run:
$ curl localhost:8080
Hello from Docker!
Stop and remove the containers
$ docker-compose down
Stopping sparkjava_sparkjava_1 ... done
Removing sparkjava_sparkjava_1 ... done
Removing network sparkjava_default