SonataFlow Use Cases TP2

Collection of artifacts to test SonataFlow Use Cases TP2.

Deploy Data Index locally

Example of how to deploy Data Index on Kubernetes.

Prereqs

1. Minikube installed
2. kubectl installed

Procedure

Open a terminal and run the following command:

kubectl kustomize dataindex | kubectl apply -f -

configmap/dataindex-properties-hg9ff8bff5 created
secret/postgres-secrets-22tkgc2dt7 created
service/data-index-service-postgresql created
service/postgres created
persistentvolumeclaim/postgres-pvc created
deployment.apps/data-index-service-postgresql created
deployment.apps/postgres created

This will deploy a Data Index for you in the default namespace. Alternatively, you can pass -n <namespace> to deploy it in a specific namespace. Data Index will be backed by a Postgres Data Base deployment. This setup is not intended for production environments since this simple Postgres Deployment does not scale well. Please see the Postgres Operator for more information.

To access the Data Index, using Minikube you can run:

minikube service data-index-service-postgresql --url 

The output is the Data Index URL, so you can access the GraphiQL UI.

For more information about Data Index and this deployment see Data Index standalone service in SonataFlow guides.

Deploy the SonataFlow Greeting example

To feed Data Index with workflow execution data, you must deploy a SonataFlow instance and configure it to send events to Data Index.

Prereqs

1. Install Data Index (see above)
2. Install the SonataFlow Operator on Minikube; see the instructions in the operator installation guide.

Procedure

Open a new terminal and run:

kubectl apply -f sonataflow-greeting/

It should build and deploy a new instance of the Greetings workflow in the same namespace where Data Index is deployed.

To access the application, run:

kubectl patch svc greeting  -p '{"spec": {"type": "NodePort"}}'
minikube service greeting --url

This should expose the workflow and return the public endpoint.

You can then use it to curl the REST endpoint and start a new workflow instance which will return immediately:

curl -X POST -H 'Content-Type:application/json' -H 'Accept:application/json' -d '{"name": "John", "language": "English"}' http://${ENDPOINT}/greeting

Replace ${ENDPOINT} with the output from the previous command.

Querying Data Index

You can use the public Data Index endpoint to play around with the GraphiQL interface. Try submiting:

{
    ProcessInstances {
        id
        processName
        endpoint
        variables
        serviceUrl
    }
}

The results should be something like:

{
   "data":{
       "ProcessInstances":[
           {
               "id":"3ed8bf63-85c9-425d-9099-49bfb63608cb",
               "processName":"workflow",
               "endpoint":"/greeting",
               "variables":"{\"workflowdata\":{\"name\":\"John\",\"greeting\":\"Hello from JSON Workflow, \",\"language\":\"English\"}}",
               "serviceUrl":null     
      }   
    ] 
  }
}