| Tool | \nDescription | \nInstallation | \nkubectl | \nCommand-line tool for monitoring the underlying Kuberentes cluster (More info) | \nInstall | \n\n
|---|---|---|
| mssqlctl | \nCommand-line tool for installing and managing a big data cluster | \nInstall | \n
", "metadata": {} }, { "cell_type": "markdown", "source": "### **Check dependencies**", "metadata": {} }, { "cell_type": "code", "source": "#Run command helper function\r\ndef run_command():\r\n print(\"Executing: \" + cmd)\r\n !{cmd}\r\n if _exit_code != 0:\r\n raise SystemExit(f'Shell command:\\n\\n\\t{cmd}\\n\\nreturned non-zero exit code: ' + str(_exit_code) + '.\\n')\r\n print(f'Successfully executed: {cmd}')\r\n\r\ncmd = 'kubectl version --client=true'\r\nrun_command()\r\ncmd = 'mssqlctl --version'\r\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 1 }, { "cell_type": "markdown", "source": "### **Show current context**", "metadata": {} }, { "cell_type": "code", "source": "cmd = ' kubectl config current-context'\r\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 2 }, { "cell_type": "markdown", "source": "### **Required information**", "metadata": {} }, { "cell_type": "code", "source": "import getpass\ndef get_user_input(input_name, is_password = False, confirm_password = False):\n if is_password:\n user_input = getpass.getpass(prompt = input_name)\n if confirm_password:\n user_input_confirm = getpass.getpass(prompt = 'Confirm '+ input_name)\n if user_input != user_input_confirm:\n raise SystemExit(f'{input_name} does not match the confirmation password')\n print(f'{input_name}: ******')\n else:\n user_input = input(input_name)\n print(input_name + ': ' + user_input)\n if user_input == \"\":\n raise SystemExit(f'{input_name} is required')\n return user_input;\n\nmssql_cluster_name = get_user_input('Cluster name')\nbdc_controller_username = get_user_input('Controller username')\nbdc_password = get_user_input('Controller password', True, True)\nprint('Knox and SQL Server will use the same password')\ndocker_username = get_user_input('Docker username')\ndocker_password = get_user_input('Docker password', True)", "metadata": {}, "outputs": [], "execution_count": 3 }, { "cell_type": "markdown", "source": "### **Default settings**", "metadata": {} }, { "cell_type": "code", "source": "mssqlctl_configuration_profile = 'aks-dev-test'\nmssqlctl_configuration_file = 'mssql-bdc-configuration'\n\n# Show parameter values\nprint('')\nprint(f'mssql_cluster_name = {mssql_cluster_name}')\nprint(f'docker_username = {docker_username}')\nprint(f'mssqlctl_configuration_profile = {mssqlctl_configuration_profile}')\nprint(f'mssqlctl_configuration_file = {mssqlctl_configuration_file}')\nprint(f'bdc_controller_username = {bdc_controller_username}')\nprint('')", "metadata": {}, "outputs": [], "execution_count": 4 }, { "cell_type": "markdown", "source": "### **List the MSSQLCTL configuration profiles**", "metadata": {} }, { "cell_type": "code", "source": "import os\nos.environ[\"ACCEPT_EULA\"] = 'yes'\ncmd = f'mssqlctl bdc config list'\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 5 }, { "cell_type": "markdown", "source": "### **Create a MSSQLCTL configuration file**", "metadata": {} }, { "cell_type": "code", "source": "# Create a configuration file\ncmd = f'mssqlctl bdc config init --source {mssqlctl_configuration_profile} --target {mssqlctl_configuration_file} --force'\nrun_command()\n\n# Set the 'big data cluster' name\njsonPath = '\"metadata.name=''{0}''\"'.format(mssql_cluster_name)\ncmd = f'mssqlctl bdc config section set -c {mssqlctl_configuration_file} -j {jsonPath}'\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 6 }, { "cell_type": "markdown", "source": "### **Create SQL Server 2019 big data cluster**", "metadata": {} }, { "cell_type": "code", "source": "import os\nprint (f'Creating SQL Server 2019 big data cluster: {mssql_cluster_name} using configuration file {mssqlctl_configuration_file}')\nos.environ[\"CONTROLLER_USERNAME\"] = bdc_controller_username\nos.environ[\"CONTROLLER_PASSWORD\"] = bdc_password\nos.environ[\"MSSQL_SA_PASSWORD\"] = bdc_password\nos.environ[\"KNOX_PASSWORD\"] = bdc_password\nos.environ[\"DOCKER_USERNAME\"] = docker_username\nos.environ[\"DOCKER_PASSWORD\"] = docker_password\n\ncmd = f'mssqlctl bdc create -c {mssqlctl_configuration_file} --accept-eula yes'\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 7 }, { "cell_type": "markdown", "source": "### **Login to SQL Server 2019 big data cluster**", "metadata": {} }, { "cell_type": "code", "source": "cmd = f'mssqlctl login --cluster-name {mssql_cluster_name}'\nrun_command()", "metadata": {}, "outputs": [], "execution_count": 8 }, { "cell_type": "markdown", "source": "### **Show SQL Server 2019 big data cluster endpoints**", "metadata": {} }, { "cell_type": "code", "source": "import json\nimport pandas as pd\nfrom IPython.display import *\npd.set_option('display.max_colwidth', -1)\n\ndef formatColumnNames(column):\n return ' '.join(word[0].upper() + word[1:] for word in column.split())\n\ndef show_results(results):\n df = pd.DataFrame(results)\n df.columns = [formatColumnNames(n) for n in results[0].keys()]\n mydata = HTML(df.to_html(render_links=True))\n display(mydata)\n\ncmd = f'mssqlctl bdc endpoint list'\nendpointsResults = !{cmd}\nendpointsInJson = json.loads(''.join(endpointsResults))\nshow_results(endpointsInJson)", "metadata": {}, "outputs": [], "execution_count": 9 }, { "cell_type": "markdown", "source": "### **Connect to master SQL Server instance in Azure Data Studio**\r\nClick the link below to connect to the master SQL Server instance of the SQL Server 2019 big data cluster.", "metadata": {} }, { "cell_type": "code", "source": "filteredEndpoints = [x for x in endpointsInJson if x['name'] == 'sql-server-master']\r\nif filteredEndpoints and len(filteredEndpoints) == 1:\r\n display(HTML(\"