This application allows several users to track and share their expenses.
Please notice the first version can manage up to 2 users, as the next versions will be available to more users.
Some configuration files are deliberately missing.
You can create a native executable using:
mvnci -PnativeOr, if you don't have GraalVM installed, you can run the native executable build in a container using:
Note : quarkus.native.native-image-xmx args must be set for macos and Windows in order to allocate enough memory when building the image.
mvnci -Pnative -Dquarkus.native.container-build=true -Dquarkus.native.native-image-xmx=4gdocker run -i --rm -p 8080:8080 quarkus/xpenses-quarkus https://quarkus.io/guides/writing-native-applications-tips
The following dependency must be added for serialization
<dependency>
<groupId>io.quarkus</groupId>
<artifactId>quarkus-resteasy-jsonb</artifactId>
</dependency>- Entities must be annotated by
@RegisterForReflectionto be included in the native executable. - Entities must contain at least a default constructor and a constructor with all parameters.
- Entities constructors cannot be generated from Lombok annotations.
https://strimzi.io/quickstarts
YAML :
# Increase memory to support kafka cluster
minikube start --memory=4096
# Create namespace
kubectl create ns kafka
# Enable storage to minikube for built images
eval $(minikube -p minikube docker-env)
cd service
mvn package
docker build -f src/main/docker/Dockerfile.jvm . -t xpenses-quarkus
# Set up Kafka cluster https://strimzi.io/quickstarts
kubectl create -f 'https://strimzi.io/install/latest?namespace=kafka' -n kafka
kubectl apply -f https://strimzi.io/examples/latest/kafka/kafka-persistent-single.yaml -n kafka
kubectl wait kafka/my-cluster --for=condition=Ready --timeout=300s -n kafka
# Set up environment
kubectl create -f src/main/kubernetes/all-in-one.yaml
# Get minikube tunnel info to use the service
minikube service -n kafka xpenses-quarkus-service
# Use the localhost ip to connect to the applicationCreate a Kamel application to listen from the given kafka topic and performs actions following the Enterprise Integration Patterns.
MacOs
# Install the CLI
brew install kamel
# Add the CLI to the cluster and given namespace
kamel install -n kafka
# Deploy the application to the namespace
kamel run kamel/src/main/java/org/thoms/ExpensesKamel.java -n kafka --dev
### OPTIONAL
# Reset if any errors occurred
kamel reset -n kafka
# You may need to run this after reset
kamel run kamel/src/main/java/org/thoms/ExpensesKamel.java -n kafkaUseful links
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent