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Adding sample deployment script for Azure Arc Data Controller private preview
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‎samples/features/azure-arc/README.md‎

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# Azure Arc Data Controller cluster
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## __[Sample setup and deployment](deployment/)__
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This folder contains necessary instruction to setup and deploy sample Azure Arc Data Controller cluster.

‎samples/features/azure-arc/deployment/README.md‎

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# Creating a Kubernetes cluster for Azure Arc Data Controller cluster
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Azure Arc Data Controller cluster is deployed as docker containers on a Kubernetes cluster. These samples provide scripts that can be used to provision a Kubernetes clusters using different environments.
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## __[Deploy a Kubernetes cluster using kubeadm](kubeadm/)__
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Use the scripts in the **kubeadm** folder to deploy a Kubernetes cluster over one or more Linux machines (physical or virtualized) using `kubeadm` utility.

‎samples/features/azure-arc/deployment/kubeadm/README.md‎

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# Create a Kubernetes cluster using Kubeadm on Ubuntu 16.04 LTS or 18.04 LTS
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## __[ubuntu](ubuntu/)__
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This folder contains scripts that provide a template for deploying a Kubernetes cluster using kubeadm on one or more Linux machines.
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## __[ubuntu-single-node-vm](ubuntu-single-node-vm/)__
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This folder contains a sample script that can be used to create a single-node Kubernetes cluster on a Linux machine and deploy Azure Arc Data Controller cluster.

‎samples/features/azure-arc/deployment/kubeadm/ubuntu-single-node-vm/README.md‎

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# Deploy a Azure Arc Data Controller on single node Kubernetes cluster (kubeadm)
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Using this sample bash script, you will deploy a single node Kubernetes cluster using kubeadm and a Azure Arc Data Controller on top of it. The script must be run from the VM you are planning to use for your kubeadm deployment.
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## Pre-requisites
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1. A vanilla Ubuntu 16.04 or 18.04 virtual or physical machine. All dependencies will be setup by the script. Using Azure Linux VMs is not yet supported.
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1. Machine should have at least 8 CPUs, 64GB RAM and 100GB disk space. After installing the images you will be left with 50GB for data/logs across all components.
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1. Update existing packages using commands below to ensure that the OS image is up to date
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``` bash
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sudo apt update&&apt upgrade -y
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sudo systemctl reboot
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```
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## Recommended Virtual Machine settings
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1. Use static memory configuration for the virtual machine. For example, in hyper-v installations do not use dynamic memory allocation but instead allocate the recommended 64 GB or higher.
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1. Use checkpoint or snapshot capability in your hyper visor so that you can rollback the virtual machine to a clean state.
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## Instructions to deploy Azure Arc Data Controller
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1. Download the script on the VM you are planning to use for the deployment
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``` bash
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curl --output setup-controller.sh https://raw.githubusercontent.com/microsoft/sql-server-samples/master/samples/features/azure-arc/deployment/kubeadm/ubuntu-single-node-vm/setup-controller.sh
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```
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2. Make the script executable
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``` bash
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chmod +x setup-controller.sh
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```
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3. Run the script (make sure you are running with sudo)
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``` bash
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sudo ./setup-controller.sh
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```
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When prompted, provide your input for the password that will be used for all external endpoints: controller, SQL Server master and gateway. The password should be sufficiently complex based on existing rules for SQL Server password. The controller username is defaulted to *controlleradmin*.
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## Cleanup
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1. The [cleanup-controller.sh](cleanup-controller.sh/) script is provided as convenience to reset the environment in case of errors. However, we recommend that you use a virtual machine for testing purposes and use the snapshot capability in your hyper-visor to rollback the virtual machine to a clean state.

‎samples/features/azure-arc/deployment/kubeadm/ubuntu-single-node-vm/cleanup-controller.sh‎

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#!/bin/bash
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if [ "$EUID" -ne 0 ]
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then echo "Please run as root"
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exit
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fi
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DIR_PREFIX=$1
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kubeadm reset --force
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# Clean up azdata-cli package.
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#
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unalias azdata
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sudo dpkg --remove --force-all azdata-cli
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systemctl stop kubelet
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rm -rf /var/lib/cni/
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rm -rf /var/lib/etcd/
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rm -rf /run/flannel/
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rm -rf /var/lib/kubelet/*
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rm -rf /etc/cni/
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rm -rf /etc/kubernetes/
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ip link set cni0 down
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#brctl delbr cni0
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ip link set flannel.1 down
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#brctl delbr flannel.1
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iptables -F && iptables -t nat -F && iptables -t mangle -F && iptables -X
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rm -rf .azdata/
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# Remove mounts.
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#
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SERVICE_STOP_FAILED=0
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systemctl | grep "/var/lib/kubelet/pods" | while read -r line; do
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# Retrieve the mount path
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#
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MOUNT_PATH=`echo "$line" | grep -v echo | egrep -oh -m 1 "(/var/lib/kubelet/pods).+"`
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if [ -z "$MOUNT_PATH" ]; then
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continue
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fi
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if [[ ! -d "$MOUNT_PATH" ]] && [[ ! -f "$MOUNT_PATH" ]]; then
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SERVICE=$(echo $line | cut -f1 -d' ')
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echo "Mount "$MOUNT_PATH" no longer exists."
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echo "Stopping orphaned mount service: '$SERVICE'"
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systemctl stop $SERVICE
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if [ $? -ne 0 ]; then
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SERVICE_STOP_FAILED=1
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fi
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echo ""
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fi
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done
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if [ $SERVICE_STOP_FAILED -ne 0 ]; then
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echo "Not all services were stopped successfully. Please check the above output for more inforamtion."
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else
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echo "All orphaned services successfully stopped."
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fi
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# Clean the mounted volumes.
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#
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for i in $(seq 1 40); do
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vol="vol$i"
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sudo umount /mnt/local-storage/$vol
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sudo rm -rf /mnt/local-storage/$vol
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done
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# Reset kube
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#
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sudo apt-get purge -y kubeadm --allow-change-held-packages
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sudo apt-get purge -y kubectl --allow-change-held-packages
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sudo apt-get purge -y kubelet --allow-change-held-packages
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sudo apt-get purge -y kubernetes-cni --allow-change-held-packages
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sudo apt-get purge -y kube* --allow-change-held-packages
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sudo apt -y autoremove
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sudo rm -rf ~/.kube
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# Clean up working folders.
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#
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export AZUREARCDATACONTROLLER_DIR=aadatacontroller
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if [ -d "$AZUREARCDATACONTROLLER_DIR" ]; then
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echo "Removing working directory $AZUREARCDATACONTROLLER_DIR."
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rm -f -r $AZUREARCDATACONTROLLER_DIR
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fi

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