A thread racing web application that demonstrates technologies introduced or updated in the latest Jakarta EE specification.
What is it?
The thread-racing
quickstart is a web application that demonstrates new and updated technologies introduced by the Jakarta EE 10 specification through simple use cases.
The web application allows the user to trigger a race between 4 threads and follow, in real time, the progress of each thread until the race ends.
The race itself consists of multiple stages, each demonstrating the usage of a specific new or updated Jakarta EE 10 technology:
-
Batch 2.1
-
EE Concurrency 3.0
-
JAX-RS 3.1
-
JMS 3.1
-
JSON 2.1
WebSockets 2.1 is one of the most relevant new technologies introduced by Jakarta EE 10. Instead of being used in a race stage, a WebSockets 2.1 ServerEndpoint provides the remote application interface.
A new race is run when a client establishes a session. That session is then used to update the client in real time, with respect to the race progress and results. The src/main/java/org/jboss/as/quickstarts/threadracing/WebSocketRace.java
file is the WebSocket server endpoint class and is a good entry point when studying how the application code works.
JPA 3.1 is also present in the application code. Specifically it is used to store race results in the default data source instance, which is also new to Jakarta EE. Further details are included in the src/main/java/org/jboss/as/quickstarts/threadracing/results/RaceResults.java
class.
Considerations for Use in a Production Environment
- H2 Database
-
This quickstart uses the H2 database included with WildFly Application Server 33. It is a lightweight, relational example datasource that is used for examples only. It is not robust or scalable, is not supported, and should NOT be used in a production environment.
System Requirements
The application this project produces is designed to be run on WildFly Application Server 33 or later.
All you need to build this project is Java 11.0 (Java SDK 11) or later and Maven 3.6.0 or later. See Configure Maven to Build and Deploy the Quickstarts to make sure you are configured correctly for testing the quickstarts.
Use of the WILDFLY_HOME and QUICKSTART_HOME Variables
In the following instructions, replace WILDFLY_HOME
with the actual path to your WildFly installation. The installation path is described in detail here: Use of WILDFLY_HOME and JBOSS_HOME Variables.
When you see the replaceable variable QUICKSTART_HOME, replace it with the path to the root directory of all of the quickstarts.
Building and running the quickstart application with a WildFly server distribution
Start the WildFly Standalone Server
-
Open a terminal and navigate to the root of the WildFly directory.
-
Start the WildFly server with the full profile by typing the following command.
$ WILDFLY_HOME/bin/standalone.sh -c standalone-full.xml
NoteFor Windows, use the WILDFLY_HOME\bin\standalone.bat
script.
Build and Deploy the Quickstart
-
Make sure WildFly server is started.
-
Open a terminal and navigate to the root directory of this quickstart.
-
Type the following command to build the quickstart.
$ mvn clean package
-
Type the following command to deploy the quickstart.
$ mvn wildfly:deploy
This deploys the thread-racing/target/thread-racing.war
to the running instance of the server.
You should see a message in the server log indicating that the archive deployed successfully.
Access the application
The application will be running at the following URL http://localhost:8080/thread-racing/.
To start a race press the Insert Coin
button. The page displays the names of the threads as they join the race. It then tracks the progress of each thread through the Batch, EE Concurrency, JAX-RS, JMS, and JSON stages of the race. Finally, it displays the official race results and championship standings.
Run the Integration Tests
This quickstart includes integration tests, which are located under the src/test/
directory. The integration tests verify that the quickstart runs correctly when deployed on the server.
Follow these steps to run the integration tests.
-
Make sure WildFly server is started.
-
Make sure the quickstart is deployed.
-
Type the following command to run the
verify
goal with theintegration-testing
profile activated.$ mvn verify -Pintegration-testing
Undeploy the Quickstart
When you are finished testing the quickstart, follow these steps to undeploy the archive.
-
Make sure WildFly server is started.
-
Open a terminal and navigate to the root directory of this quickstart.
-
Type this command to undeploy the archive:
$ mvn wildfly:undeploy
Building and running the quickstart application with provisioned WildFly server
Instead of using a standard WildFly server distribution, you can alternatively provision a WildFly server to deploy and run the quickstart, by activating the Maven profile named provisioned-server
when building the quickstart:
$ mvn clean package -Pprovisioned-server
The provisioned WildFly server, with the quickstart deployed, can then be found in the target/server
directory, and its usage is similar to a standard server distribution, with the simplification that there is never the need to specify the server configuration to be started.
The server provisioning functionality is provided by the WildFly Maven Plugin, and you may find its configuration in the quickstart pom.xml
:
<profile>
<id>provisioned-server</id>
<build>
<plugins>
<plugin>
<groupId>org.wildfly.plugins</groupId>
<artifactId>wildfly-maven-plugin</artifactId>
<configuration>
<discover-provisioning-info>
<version>${version.server}</version>
</discover-provisioning-info>
<!--
Rename the output war to ROOT.war before adding it to the server, so that the
application is deployed in the root web context.
-->
<name>ROOT.war</name>
<add-ons>...</add-ons>
</configuration>
<executions>
<execution>
<goals>
<goal>package</goal>
</goals>
</execution>
</executions>
</plugin>
...
</plugins>
</build>
</profile>
The plugin uses WildFly Glow to discover the feature packs and layers required to run the application, and provisions a server containing those layers.
If you get an error or the server is missing some functionality which cannot be auto-discovered, you can download the WildFly Glow CLI and run the following command to see more information about what add-ons are available:
wildfly-glow show-add-ons
Note
|
Since the plugin configuration above deploys quickstart on root web context of the provisioned server, the URL to access the application should not have the |
Run the Integration Tests with a provisioned server
The integration tests included with this quickstart, which verify that the quickstart runs correctly, may also be run with a provisioned server.
Follow these steps to run the integration tests.
-
Make sure the server is provisioned.
$ mvn clean package -Pprovisioned-server
-
Start the WildFly provisioned server, this time using the WildFly Maven Plugin, which is recommended for testing due to simpler automation. The path to the provisioned server should be specified using the
jbossHome
system property.$ mvn wildfly:start -DjbossHome=target/server
-
Type the following command to run the
verify
goal with theintegration-testing
profile activated, and specifying the quickstart’s URL using theserver.host
system property, which for a provisioned server by default ishttp://localhost:8080
.$ mvn verify -Pintegration-testing -Dserver.host=http://localhost:8080
-
Shutdown the WildFly provisioned server, this time using the WildFly Maven Plugin too.
$ mvn wildfly:shutdown
Building and running the quickstart application with OpenShift
Build the WildFly Source-to-Image (S2I) Quickstart to OpenShift with Helm Charts
On OpenShift, the S2I build with Apache Maven uses an openshift
Maven profile to provision a WildFly server, deploy and run the quickstart in OpenShift environment.
The server provisioning functionality is provided by the WildFly Maven Plugin, and you may find its configuration in the quickstart pom.xml
:
<profile>
<id>openshift</id>
<build>
<plugins>
<plugin>
<groupId>org.wildfly.plugins</groupId>
<artifactId>wildfly-maven-plugin</artifactId>
<configuration>
<discover-provisioning-info>
<version>${version.server}</version>
<context>cloud</context>
</discover-provisioning-info>
<!--
The parent POM's 'openshift' profile renames the output archive to ROOT.war so that the
application is deployed in the root web context. Add ROOT.war to the server.
-->
<filename>ROOT.war</filename>
<add-ons>...</add-ons>
</configuration>
<executions>
<execution>
<goals>
<goal>package</goal>
</goals>
</execution>
</executions>
</plugin>
...
</plugins>
</build>
</profile>
You may note that unlike the provisioned-server
profile it uses the cloud context which enables a configuration tuned for OpenShift environment.
The plugin uses WildFly Glow to discover the feature packs and layers required to run the application, and provisions a server containing those layers.
If you get an error or the server is missing some functionality which cannot be auto-discovered, you can download the WildFly Glow CLI and run the following command to see more information about what add-ons are available:
wildfly-glow show-add-ons
Getting Started with WildFly for OpenShift and Helm Charts
This section contains the basic instructions to build and deploy this quickstart to WildFly for OpenShift or WildFly for OpenShift Online using Helm Charts.
Prerequisites
-
You must be logged in OpenShift and have an
oc
client to connect to OpenShift -
Helm must be installed to deploy the backend on OpenShift.
Once you have installed Helm, you need to add the repository that provides Helm Charts for WildFly.
$ helm repo add wildfly https://docs.wildfly.org/wildfly-charts/
"wildfly" has been added to your repositories
$ helm search repo wildfly
NAME CHART VERSION APP VERSION DESCRIPTION
wildfly/wildfly ... ... Build and Deploy WildFly applications on OpenShift
wildfly/wildfly-common ... ... A library chart for WildFly-based applications
Deploy the WildFly Source-to-Image (S2I) Quickstart to OpenShift with Helm Charts
Log in to your OpenShift instance using the oc login
command.
The backend will be built and deployed on OpenShift with a Helm Chart for WildFly.
Navigate to the root directory of this quickstart and run the following command:
$ helm install thread-racing -f charts/helm.yaml wildfly/wildfly --wait --timeout=10m0s
NAME: thread-racing
...
STATUS: deployed
REVISION: 1
This command will return once the application has successfully deployed. In case of a timeout, you can check the status of the application with the following command in another terminal:
oc get deployment thread-racing
The Helm Chart for this quickstart contains all the information to build an image from the source code using S2I on Java 17:
build:
uri: https://github.com/wildfly/quickstart.git
ref: main
contextDir: thread-racing
deploy:
replicas: 1
This will create a new deployment on OpenShift and deploy the application.
If you want to see all the configuration elements to customize your deployment you can use the following command:
$ helm show readme wildfly/wildfly
Get the URL of the route to the deployment.
$ oc get route thread-racing -o jsonpath="{.spec.host}"
Access the application in your web browser using the displayed URL.
Note
|
The Maven profile named |
Run the Integration Tests with OpenShift
The integration tests included with this quickstart, which verify that the quickstart runs correctly, may also be run with the quickstart running on OpenShift.
Note
|
The integration tests expect a deployed application, so make sure you have deployed the quickstart on OpenShift before you begin. |
Run the integration tests using the following command to run the verify
goal with the integration-testing
profile activated and the proper URL:
$ mvn verify -Pintegration-testing -Dserver.host=https://$(oc get route thread-racing --template='{{ .spec.host }}')
Note
|
The tests are using SSL to connect to the quickstart running on OpenShift. So you need the certificates to be trusted by the machine the tests are run from. |
Undeploy the WildFly Source-to-Image (S2I) Quickstart from OpenShift with Helm Charts
$ helm uninstall thread-racing
Building and running the quickstart application with Kubernetes
Build the WildFly Quickstart to Kubernetes with Helm Charts
For Kubernetes, the build with Apache Maven uses an openshift
Maven profile to provision a WildFly server, suitable for running on Kubernetes.
The server provisioning functionality is provided by the WildFly Maven Plugin, and you may find its configuration in the quickstart pom.xml
:
<profile>
<id>openshift</id>
<build>
<plugins>
<plugin>
<groupId>org.wildfly.plugins</groupId>
<artifactId>wildfly-maven-plugin</artifactId>
<configuration>
<discover-provisioning-info>
<version>${version.server}</version>
<context>cloud</context>
</discover-provisioning-info>
<!--
The parent POM's 'openshift' profile renames the output archive to ROOT.war so that the
application is deployed in the root web context. Add ROOT.war to the server.
-->
<filename>ROOT.war</filename>
<add-ons>...</add-ons>
</configuration>
<executions>
<execution>
<goals>
<goal>package</goal>
</goals>
</execution>
</executions>
</plugin>
...
</plugins>
</build>
</profile>
You may note that unlike the provisioned-server
profile it uses the cloud context which enables a configuration tuned for Kubernetes environment.
The plugin uses WildFly Glow to discover the feature packs and layers required to run the application, and provisions a server containing those layers.
If you get an error or the server is missing some functionality which cannot be auto-discovered, you can download the WildFly Glow CLI and run the following command to see more information about what add-ons are available:
wildfly-glow show-add-ons
Getting Started with Kubernetes and Helm Charts
This section contains the basic instructions to build and deploy this quickstart to Kubernetes using Helm Charts.
Install Kubernetes
In this example we are using Minikube as our Kubernetes provider. See the Minikube Getting Started guide for how to install it. After installing it, we start it with 4GB of memory.
minikube start --memory='4gb'
The above command should work if you have Docker installed on your machine. If, you are using Podman instead of Docker, you will also need to pass in --driver=podman
, as covered in the Minikube documentation.
Once Minikube has started, we need to enable its registry since that is where we will push the image needed to deploy the quickstart, and where we will tell the Helm charts to download it from.
minikube addons enable registry
In order to be able to push images to the registry we need to make it accessible from outside Kubernetes. How we do this depends on your operating system. All the below examples will expose it at localhost:5000
# On Mac:
docker run --rm -it --network=host alpine ash -c "apk add socat && socat TCP-LISTEN:5000,reuseaddr,fork TCP:$(minikube ip):5000"
# On Linux:
kubectl port-forward --namespace kube-system service/registry 5000:80 &
# On Windows:
kubectl port-forward --namespace kube-system service/registry 5000:80
docker run --rm -it --network=host alpine ash -c "apk add socat && socat TCP-LISTEN:5000,reuseaddr,fork TCP:host.docker.internal:5000"
Prerequisites
-
Helm must be installed to deploy the backend on Kubernetes.
Once you have installed Helm, you need to add the repository that provides Helm Charts for WildFly.
$ helm repo add wildfly https://docs.wildfly.org/wildfly-charts/
"wildfly" has been added to your repositories
$ helm search repo wildfly
NAME CHART VERSION APP VERSION DESCRIPTION
wildfly/wildfly ... ... Build and Deploy WildFly applications on OpenShift
wildfly/wildfly-common ... ... A library chart for WildFly-based applications
Deploy the WildFly Source-to-Image (S2I) Quickstart to Kubernetes with Helm Charts
The backend will be built and deployed on Kubernetes with a Helm Chart for WildFly.
Navigate to the root directory of this quickstart and run the following commands:
mvn -Popenshift package wildfly:image
This will use the openshift
Maven profile we saw earlier to build the application, and create a Docker image containing the WildFly server with the application deployed. The name of the image will be thread-racing
.
Next we need to tag the image and make it available to Kubernetes. You can push it to a registry like quay.io
. In this case we tag as localhost:5000/thread-racing:latest
and push it to the internal registry in our Kubernetes instance:
# Tag the image
docker tag thread-racing localhost:5000/thread-racing:latest
# Push the image to the registry
docker push localhost:5000/thread-racing:latest
In the below call to helm install
which deploys our application to Kubernetes, we are passing in some extra arguments to tweak the Helm build:
-
--set build.enabled=false
- This turns off the s2i build for the Helm chart since Kubernetes, unlike OpenShift, does not have s2i. Instead, we are providing the image to use. -
--set deploy.route.enabled=false
- This disables route creation normally performed by the Helm chart. On Kubernetes we will use port-forwards instead to access our application, since routes are an OpenShift specific concept and thus not available on Kubernetes. -
--set image.name="localhost:5000/thread-racing"
- This tells the Helm chart to use the image we built, tagged and pushed to Kubernetes' internal registry above.
$ helm install thread-racing -f charts/helm.yaml wildfly/wildfly --wait --timeout=10m0s --set build.enabled=false --set deploy.route.enabled=false --set image.name="localhost:5000/thread-racing"
NAME: thread-racing
...
STATUS: deployed
REVISION: 1
This command will return once the application has successfully deployed. In case of a timeout, you can check the status of the application with the following command in another terminal:
kubectl get deployment thread-racing
The Helm Chart for this quickstart contains all the information to build an image from the source code using S2I on Java 17:
build:
uri: https://github.com/wildfly/quickstart.git
ref: main
contextDir: thread-racing
deploy:
replicas: 1
This will create a new deployment on Kubernetes and deploy the application.
If you want to see all the configuration elements to customize your deployment you can use the following command:
$ helm show readme wildfly/wildfly
To be able to connect to our application running in Kubernetes from outside, we need to set up a port-forward to the thread-racing
service created for us by the Helm chart.
This service will run on port 8080
, and we set up the port forward to also run on port 8080
:
kubectl port-forward service/thread-racing 8080:8080
The server can now be accessed via http://localhost:8080
from outside Kubernetes. Note that the command to create the port-forward will not return, so it is easiest to run this in a separate terminal.
Note
|
The Maven profile named |
Run the Integration Tests with Kubernetes
The integration tests included with this quickstart, which verify that the quickstart runs correctly, may also be run with the quickstart running on Kubernetes.
Note
|
The integration tests expect a deployed application, so make sure you have deployed the quickstart on Kubernetes before you begin. |
Run the integration tests using the following command to run the verify
goal with the integration-testing
profile activated and the proper URL:
$ mvn verify -Pintegration-testing -Dserver.host=http://localhost:8080
Undeploy the WildFly Source-to-Image (S2I) Quickstart from Kubernetes with Helm Charts
$ helm uninstall thread-racing
To stop the port forward you created earlier use:
$ kubectl port-forward service/thread-racing 8080:8080