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Overview

In our steps for setting up a multiple discrete instance of Yellowfin, we’ll create two Yellowfin instances using the LoadBalancer service type in Kubernetes, so that each Yellowfin instance can be accessed on port 8080 of the provisioned load balancer.

The Production instance of Yellowfin will be allocated 6GB of RAM, and the Development instance will be allocated 4GB of RAM. In a Kubernetes environment where a load balancer cannot be provisioned during the deployment (eg, a basic on-premises environment), the services specification can be modified to switch the ServiceType to NodePort.

Before deploying your instances with these defaults, make sure you have already created a repository database and synced it with the same version of Yellowfin that will be used in the Yellowfin container. To do this, download the full application installer for Yellowfin, and install it on your workstation. This will create a Yellowfin repo DB as well as an instance of Yellowfin in a folder which can be deleted after configuring the containers.

For a list of supported database types, see the database information on Install And Deploy Yellowfin.

In the steps below, we’ll show you how to deploy two discrete instances of Yellowfin.

Install the full application installer version of Yellowfin on your workstation (this is temporary to ensure the repo DB is available for the containers to use)
Copy the web.xml file from this installation and save it as a backup to your preferred location (this acts as a reference for the Yellowfin credentials required to connect to your Yellowfin repo DB)
Ensure Kubernetes is running

Copy the following text and paste it into your preferred text editor:

--- 
### Yellowfin Production Instance - Service ### 
apiVersion: v1 
kind: Service 
metadata: 
  name: yellowfin-multi-instance-prod 
spec: 
  ports: 
  - name: "web" 
    port: 8080 
    targetPort: 8080 
  selector: 
    app: yellowfin-multi-instance-prod 
  type: LoadBalancer 
status: 
  loadBalancer: {} 
--- 
### Yellowfin Development Instance - Service ### 
apiVersion: v1 
kind: Service 
metadata: 
  name: yellowfin-multi-instance-dev 
spec: 
  ports: 
  - name: "web" 
    port: 8080 
    targetPort: 8080 
  selector: 
    app: yellowfin-multi-instance-dev 
  type: LoadBalancer 
status: 
  loadBalancer: {} 
--- 
### Yellowfin Production Instance - Deployment ### 
apiVersion: apps/v1 
kind: Deployment 
metadata: 
  namespace: default 
  labels: 
    app: yellowfin-multi-instance-prod 
  name: yellowfin-multi-instance-prod 
spec: 
  replicas: 1 
  selector: 
    matchLabels: 
      app: yellowfin-multi-instance-prod 
  template: 
    metadata: 
      labels: 
        app: yellowfin-multi-instance-prod 
    spec: 
      containers: 
        - env: 
          - name: APP_MEMORY 
            value: "6144" 
          - name: JDBC_CLASS_NAME 
            value: INSERT_DATABASE_TYPE_1_HERE 
          - name: JDBC_CONN_ENCRYPTED 
            value: "true" 
          - name: JDBC_CONN_PASS 
            value: INSERT_JDBC_PASSWORD_1_HERE 
          - name: JDBC_CONN_URL 
            value: jdbc:INSERT_JDBC_CONNECTION_STRING_1_HERE 
          - name: JDBC_CONN_USER 
            value: INSERT_DATABASE_USER_1_HERE 
          name: yellowfin-multi-instance-prod 
          image: yellowfinbi/yellowfin-app-only:<RELEASE_VERSION_GOES_HERE> 
          ports: 
            - name: web 
              containerPort: 8080 
--- 
### Yellowfin Development Instance - Deployment ### 
apiVersion: apps/v1 
kind: Deployment 
metadata: 
  namespace: default 
  labels: 
    app: yellowfin-multi-instance-dev 
  name: yellowfin-multi-instance-dev 
 
spec: 
  replicas: 1 
  selector: 
    matchLabels: 
      app: yellowfin-multi-instance-dev 
  template: 
    metadata: 
      labels: 
        app: yellowfin-multi-instance-dev 
    spec: 
      containers: 
        - env: 
          - name: APP_MEMORY 
            value: "4096" 
          - name: JDBC_CLASS_NAME 
            value: INSERT_DATABASE_TYPE_2_HERE 
          - name: JDBC_CONN_ENCRYPTED 
            value: "true" 
          - name: JDBC_CONN_PASS 
            value: INSERT_JDBC_PASSWORD_2_HERE 
          - name: JDBC_CONN_URL 
            value: jdbc: INSERT_JDBC_CONNECTION_2_STRING_HERE 
          - name: JDBC_CONN_USER 
            value: INSERT_DATABASE_USER_2_HERE 
          name: yellowfin-multi-instance-prod 
          image: yellowfinbi/yellowfin-app-only:<RELEASE_VERSION_GOES_HERE> 
          ports: 
            - name: web 
              containerPort: 8080

Read through the above text and replace the database connection settings with your own configuration details (these are located in the web.xml file of the Yellowfin installation)
Save the text to a YAML file called yellowfin-multiple-instances.yml
Run the following command in a terminal to deploy Yellowfin:
Kubectl apply –f yellowfin-multiple-instances.yml
Start Yellowfin by typing your host URLon port 8080
Ensure that Yellowfin is running from your containers and that you can login (this confirms that your login credentials are correct, so you can safely delete the workstation instance of Yellowfin)
Delete the workstation instance of Yellowfin by removing the folder