Deploy MSSQL in the Kyma Runtime

1. Go to the kyma-runtime-extension-samples repo. This repository contains a collection of Kyma sample applications which will be used during the tutorial.

2. Download the code by choosing the green Code button, and then choosing one of the options to download the code locally.

   You can instead run the following command within your CLI at your desired folder location.

   git clone https://github.com/SAP-samples/kyma-runtime-extension-samples
   

The following commands must be ran from the directory database-mssql within your command line interface.

Make sure to replace the value of <your-docker-id> with your docker account ID.

1. To build the Docker image, run the command:

   docker build -t <your-docker-id>/mssql -f docker/Dockerfile .
   

2. To push the Docker image to your Docker repository, run the command:

   docker push <your-docker-id>/mssql
   

Make sure to replace the value of <your-docker-id> with your docker account ID.

1. Start the image locally, by running the command:

   docker run -e 'ACCEPT_EULA=Y' -e 'SA_PASSWORD=Yukon900' -p 1433:1433 --name sql1 -d <your-docker-id>/mssql
   

2. Open a Bash shell within the image by running the command:

   docker exec -it sql1 "bash"
   

3. Start the sqlcmd tool (which allows you to run queries against the database), by running the command:

   /opt/mssql-tools/bin/sqlcmd -S localhost -U SA -P Yukon900
   

4. Run a sample query by running the commands:

   1> USE DemoDB
   2> SELECT * FROM ORDERS
   3> GO
   

5. End the sqlcmd session by running:

   1> exit
   

6. End the Bash session by running:

   exit
   

7. Shutdown the docker container by running the command:

   docker stop sql1
   

8. Some additional commands that can by used:

   To start the container again, run:

   docker start sql1
   

   The container can be removed by running:

   docker rm sql1
   

You will find the resource definitions in the k8s folder. If any changes were performed on the database configuration, these file may also need to be updated. The folder contains the following files:

• secret.yaml: Defines the database password and user which is base64 encoded.
• pvc.yaml: Defines a persistent volume used to store the data of the database on.
• deployment.yaml: Defines the deployment definition for the MSSQL database as well as a service used for communication. This definition references both the secret.yaml and pvc.yaml by name.

The following commands must be ran from the directory database-mssql within your command line interface.

1. Start by creating the namespace dev if it doesn’t already exist.

   kubectl create namespace dev
   

2. Apply the persistent volume claim:

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

3. Apply the secret:

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

4. Within the deployment.yaml adjust the value of spec.template.spec.containers.image to use your Docker image. Apply the deployment:

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

5. Verify the pod is up and running:

   kubectl -n dev get po
   

   This command should result in a table similar to the one below showing a pod with the name mssql- ending with a random hash. The STATUS will display Running when the pod is up and running.

   NAME                                     READY   STATUS    RESTARTS   AGE
   mssql-6df65c689d-qdj4r        2/2     Running   0          93s
   

Kubernetes provides a port-forward functionality that allows you to connect to resources running in the Kyma runtime locally. This can be useful for development and debugging tasks. Make sure to adjust the name of the pod in the following commands to match your own.

1. Confirm the port the pod is listening on.

   kubectl get pod mssql-6df65c689d-qdj4r -n dev --template='{{(index (index .spec.containers 0).ports 0).containerPort}}{{"\n"}}'
   

   This command should return:

   1433
   

2. Apply the port-forward to the pod.

   kubectl port-forward mssql-6df65c689d-qdj4r -n dev 1433:1433
   

   This command should return:

   Forwarding from 127.0.0.1:1433 -> 1433
   Forwarding from [::1]:1433 -> 1433
   

3. At this point a tool such as sqlcmd or a development project running on your computer could access the database running in the Kyma runtime using localhost:1433.

4. To kill the process, use CTRL+C.

Similar to how the Docker image can be access locally, we can perform the same on the deployment running in the Kyma runtime. Make sure to adjust the name of the pod in the following commands to match your own.

1. By default, a pod will include the denoted deployments defined in the yaml definition as well as an istio-proxy. For the mssql deployment, this means there will be two containers in the pod.

   The describe command can be used to view this information.

   kubectl describe pod mssql-6df65c689d-qdj4r -n dev
   

2. Run the following command to obtain a Bash shell.

   If any adjustments where made to the name of the MSSQL deployment, you will need to adjust the name of the container denoted by the -c option.

   kubectl exec -it mssql-6df65c689d-qdj4r -n dev -c mssql -- bash
   

3. To run the sqlcmd tool (which allows you to run queries against the database), run the command:

   /opt/mssql-tools/bin/sqlcmd -S 127.0.0.1 -U SA -P Yukon900
   

4. The commands performed in Step 4: Using the Docker Image Locally to query the database, can now be used in the same fashion.