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Azure MS SQL database

Overview

This sample provisions the MS SQL database within Microsoft Azure using the Open Service Broker. This process generates a randomly named database, user and password. Once the provisioning is completed, the database is configured with a sample Orders table populated with two rows of sample data. The generation of the table and data is handled within the seed-db lambda function which is defined in the k8/deployment.yaml file.

This sample demonstrates how to:

  • Create a development Namespace in the Kyma runtime.
  • Provision the Azure MS SQL database using the Open Service Broker.
  • Deploy a Serverless Function and an APIRule.

Prerequisites

  • SAP BTP, Kyma runtime instance
  • Microsoft Azure Account
  • kubectl configured to use the KUBECONFIG file downloaded from the Kyma runtime

Steps

Provisioning the Open Service Broker

  1. Create a new dev Namespace:

    kubectl create namespace dev
kubectl label namespaces dev istio-injection=enabled

  2. Open the Kyma Console and choose the dev Namespace.

  3. Within the dev Namespace, choose Service Management -> Catalog -> Add-Ons.

  4. Choose the Azure Service Broker.

  5. Follow the steps to create the azure-broker-data Secret noted in the Documentation.

  6. Within the Azure Service Broker Add-On, choose the Add once option.

  7. Choose your desired Minimum services stability. The MS SQL service is available in Stable.

  8. Set the Azure Secret name to azure-broker-data.

  9. Choose the Create option.

Provision the MS SQL database

  1. Open the Kyma Console and choose the dev Namespace.

  2. Within the dev Namespace, choose Service Management -> Catalog -> Services.

  3. Choose the Azure SQL Database 12.0 tile.

  4. Choose the following:

    • Plan: Basic Tier
    • Connection Plan: Default
    • Location: Your desired location
    • Resource Group: The resource group to assign the database to

  5. Choose Create.

Deploy the Function/APIRule

  1. Apply the Deployment:

    kubectl -n dev apply -f ./k8s/deployment.yaml

  2. Verify that the Function is up and running:

    kubectl -n dev get function seed-db

Bind the Function to the MS SQL database

  1. Open the Kyma Console and choose the dev Namespace.
  2. Within the dev Namespace, choose Development -> Functions.
  3. Choose the seed-db Function.
  4. Choose the Configuration tab.
  5. Choose the Create Service Binding option.
  6. Choose the ServiceInstance for the Azure SQL.
  7. Choose Create.

Call the API to seed the MS SQL database

  1. Open the Kyma Console and choose the dev Namespace.

  2. Within the dev Namespace, choose Configuration -> API Rules.

  3. Choose the seed-db APIRule.

  4. Choose the Host value link. The expected response is database has been initialized.....

  5. Remove the Function/APIRule Deployment:

    kubectl -n dev delete -f ./k8s/deployment.yaml