elrrdatasync

ELRR services which aid in the streaming (Kafka streams) of data from the staging database to the ELRR database.

There are database and kafka dependencies, but there's a repo with a docker-compose that resolves them locally.

Dependencies

• Java JDK 1.8
• git
• Maven
• Docker
• PostgreSQL

Tools

• SQL client or Terminal
• Postman
• Eclipse or other IDE

Create Docker Containers

• Start Docker Desktop
• docker compose up
• Check for new containers in Docker Desktop

Create and populate PostgreSQL staging schema

• Start Docker Desktop
• Open SQL client
• Run schema.sql

Build the application

• mvn clean install -Dmaven.test.skip=false

Deploying the application on Docker

The easiest way to deploy the sample application to Docker is to follow below steps:

• mkdir -p target/dependency && (cd target/dependency; jar -xf ../*.jar)
• docker build --build-arg JAR_FILE="./target/elrrdatasync-0.0.1-SNAPSHOT.jar" --file Dockerfile -t <docker_hub>/test:elrrdatasync-dck-img .
• docker run -p Port:Port -t <docker_hub>/test:elrrdatasync-dck-img

Running the application locally

There are several ways to run a Spring Boot application on your local machine. One way is to execute the main method in the com.deloitte.elrr.datasync.DatasyncApplication class from your IDE

Alternatively you can use the Spring Boot Maven plugin:

• Run elrrexternalservices first
• mvn clean
• mvn spring-boot:run -D"spring-boot.run.profiles"=local -e (Windows)
• mvn spring-boot:run -D spring-boot.run.profiles=local -e (Linux)
• Ctrl+C to end --> Terminate batch job = Y

Optional step

• docker push <docker_hub>/test:elrrdatasync-dck-img