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70 lines
2.1 KiB
Markdown
70 lines
2.1 KiB
Markdown
## Compose sample application
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### Spark Java
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Project structure:
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```
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.
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├── compose.yaml
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├── README.md
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└── sparkjava
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├── Dockerfile
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└── ...
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```
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[_compose.yaml_](compose.yaml)
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```
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services:
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sparkjava:
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build: sparkjava
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ports:
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- 8080:8080
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```
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The compose file defines an application with one service `sparkjava`.
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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.
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Make sure port 8080 on the host is not already being in use.
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## Deploy with docker compose
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```
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$ docker compose up -d
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Creating network "sparkjava_default" with the default driver
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Building sparkjava
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Step 1/11 : FROM maven:3.6.3-jdk-11 AS build
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3.6.3-jdk-11: Pulling from library/maven
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...
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Successfully tagged sparkjava_sparkjava:latest
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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`.
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Creating sparkjava_sparkjava_1 ... done
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```
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## Expected result
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Listing containers must show one container running and the port mapping as below:
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```
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$ docker ps
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CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
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5af94cb25394 sparkjava_sparkjava "/bin/sh -c 'java -j…" 20 seconds ago Up 19 seconds 0.0.0.0:8080->8080/tcp sparkjava_sparkjava_1
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```
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After the application starts, navigate to `http://localhost:8080` in your web browser or run:
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```
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$ curl localhost:8080
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Hello from Docker!
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```
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Stop and remove the containers
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```
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$ docker compose down
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Stopping sparkjava_sparkjava_1 ... done
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Removing sparkjava_sparkjava_1 ... done
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Removing network sparkjava_default
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```
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## Use with Docker Development Environments
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You can use this sample with the Dev Environments feature of Docker Desktop.
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To develop directly sparkjava service inside containers, you just need to use the https git url of the sample:
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`https://github.com/docker/awesome-compose/tree/master/sparkjava`
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