Docker and Docker Compose
Summary
Using Docker and Docker Compose is highly recommended in development, and is also a good solution in production.
- Description
- Prerequisites
- Differences when using a microservices architecture
- Building a Docker image of your application
- Working with databases
- Elasticsearch
- Sonar
- Common commands
Description
Please note: this Docker configuration is used to run your generated application(s) inside a container image. It’s completely different from the Docker setup that JHipster also provides, which is for running the JHipster generator inside a container
JHipster provides a complete Docker support, in order to:
- Facilitate development, as you can start a full infrastructure very easily, even when using a complex microservices architecture
- For people using Docker Swarm, deploying to production directly, as it uses the same Docker Compose configuration
One great feature of using Docker Compose is that you can easily scale your containers, using the docker scale
command. This is very interesting if you use JHipster with a a microservices architecture.
When generating your application, JHipster generates for you:
- A
DockerFile
for running your application inside a container - Several Docker Compose configurations to help you run your application with third-party services, for example a database
Those files are located inside folder src/main/docker/
.
Prerequisites
You have to install Docker and Docker Compose:
Differences when using a microservices architecture
If you have selected to generate a microservices architecture, each application (gateway, microservice) has a DockerFile
and a Docker Compose configurations, like with a normal monolithic application.
But you can use the specific docker-compose
sub-generator, which will generate a global Docker Compose configuration for all your gateway(s) and microservices. This will allow you to deploy and scale your complete architecture with one command.
- You need to have all your gateway(s) and microservices in the same directory.
- Create another directory, for example
mkdir docker-compose
. - Go into that directory:
cd docker-compose
. - Run the sub-generator:
yo jhispter:docker-compose
. - The sub-generator will ask you which application you want to have in your architecture, and if you want to have monitoring with ELK included.
This will generate a global Docker Compose configuration, type docker-compose up
to run it, and have all your services running at once.
This configuration will have a pre-configured JHipster Registry, that will configure your services automatically:
- Those services will wait until the JHipster Registry is running until they can start (this can be configured in your
bootstrap-prod.yml
file using thespring.cloud.config.fail-fast
andspring.cloud.config.retry
keys). - The registry will configure your applications, for example it will share the JWT secret token between all services.
- Scaling each service is done using Docker Compose, for example type
docker-compose scale test-app=4
to have 4 instances of application “test” running. Those instances will be automatically load-balanced by the gateway(s), and will automatically join the same Hazelcast cluster (if Hazelcast is your Hibernate 2nd-level cache).
Building and running a Docker image of your application
To create a Docker image of your application, and push it into your Docker registry:
- With Maven, type:
./mvnw package -Pprod docker:build
- With Gradle, type:
./gradlew bootRepackage -Pprod buildDocker
This will package your application with the prod
profile, and install the image.
To run this image, use the Docker Compose configuration located in the src/main/docker
folder of your application:
docker-compose -f src/main/docker/app.yml up
This command will start up your application and the services it relies on (database, search engine, JHipster Registry…).
Working with databases
MySQL, PostgreSQL or MongoDB
Running docker-compose -f src/main/docker/app.yml up
already starts up your database automatically.
If you just want to start your database, and not the other services, use the Docker Compose configuration of your database:
- With MySQL:
docker-compose -f src/main/docker/mysql.yml up
- With PostgreSQL:
docker-compose -f src/main/docker/postgresql.yml up
- With MongoDB:
docker-compose -f src/main/docker/mongodb.yml up
Cassandra
Before running docker-compose -f src/main/docker/app.yml up
, you will need to build and set up manually your Cassandra image.
Using DataStax OpsCenter: if you want to monitor your application using DataStax OpsCenter, we also provide a cassandra-opscenter.yml
configuration file, which you should use instead of the normal cassandra.yml
file. OpsCenter will be available at http://localhost:8888.
To use Cassandra, we need to build and run a specific Docker image:
- Build the image:
docker-compose -f src/main/docker/cassandra.yml build
- Start the container (it will show the container id):
docker-compose -f src/main/docker/cassandra.yml up
- Use
docker ps
to get the “container id” of the jhipster-cassandra node, which will be used in the next commands (replace<container_id>
by its value) - Copy the cql scripts inside the container:
docker cp src/main/resources/config/cql/ <container_id>:/
- Initialize the database by creating the Keyspace and the Tables:
docker exec -it <container_id> init
- After using the entity sub-generator, update the cql scripts inside the container:
docker cp src/main/resources/config/cql/ <container_id>:/
- Create the tables:
docker exec -it <container_id> entities
You can now run docker-compose -f src/main/docker/app.yml up
to start your application with Cassandra, or docker-compose -f src/main/docker/cassandra.yml up
if you just want to run Cassandra. Next time you want to add a new entity, follow the last 2 previous steps each time to update your database schema.
One big difference between Cassandra and the other databases, is that you can scale your cluster with Docker Compose. To have X+1 nodes in your cluster, run:
docker-compose -f src/main/docker/cassandra.yml scale <name_of_your_app>-cassandra-node=X
Elasticsearch
Running docker-compose -f src/main/docker/app.yml up
already starts up your search engine automatically.
If you just want to start your Elasticsearch node, and not the other services, use its specific Docker Compose configuration::
docker-compose -f src/main/docker/elasticsearch.yml up
Sonar
A Docker Compose configuration is generated for running Sonar:
docker-compose -f src/main/docker/sonar.yml up
To analyze your code, run Sonar on your project:
- With Maven:
./mvnw sonar:sonar
- With Gradle:
./gradlew sonar
The Sonar reports will be available at: http://localhost:9000
Common commands
List the containers
You can use docker ps -a
to list all the containers
$ docker ps -a
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
fc35e1090021 mysql "/entrypoint.sh mysql" 4 seconds ago Up 4 seconds 0.0.0.0:3306->3306/tcp sampleApplication-mysql
Scale a container
Run docker-compose scale test-app=4
to have 4 instances of application “test” running.
Stop containers
docker-compose -f src/main/docker/app.yml stop
You can also use directly Docker:
docker stop <container_id>
When you stop a container, the data is not deleted, unless you delete the container.
Delete a container
Be careful! All data will be deleted:
docker rm <container_id>