{ "metadata": { "kernelspec": { "name": "python3", "display_name": "Python 3" }, "language_info": { "name": "python", "version": "3.6.6", "mimetype": "text/x-python", "codemirror_mode": { "name": "ipython", "version": 3 }, "pygments_lexer": "ipython3", "nbconvert_exporter": "python", "file_extension": ".py" } }, "nbformat_minor": 2, "nbformat": 4, "cells": [ { "cell_type": "markdown", "source": [ "![Microsoft](https://raw.githubusercontent.com/microsoft/azuredatastudio/master/src/sql/media/microsoft-small-logo.png)\n", " \n", "## Deploy SQL Server 2019 Big Data Cluster on an existing Azure Kubernetes Service (AKS) cluster\n", " \n", "This notebook walks through the process of deploying a SQL Server 2019 Big Data Cluster on an existing AKS cluster." ], "metadata": { "azdata_cell_guid": "82e60c1a-7acf-47ee-877f-9e85e92e11da" } }, { "cell_type": "code", "source": [ "import json,sys,os\n", "def run_command(command):\n", " print(\"Executing: \" + command)\n", " !{command}\n", " if _exit_code != 0:\n", " sys.exit(f'Command execution failed with exit code: {str(_exit_code)}.\\n\\t{command}\\n')\n", " print(f'Successfully executed: {command}')" ], "metadata": { "azdata_cell_guid": "d973d5b4-7f0a-4a9d-b204-a16480f3940d", "tags": [] }, "outputs": [], "execution_count": 1 }, { "cell_type": "markdown", "source": [ "### **Set variables**\n", "Generated by Azure Data Studio using the values collected in the Deploy Big Data Cluster wizard" ], "metadata": { "azdata_cell_guid": "4b266b2d-bd1b-4565-92c9-3fc146cdce6d" } }, { "cell_type": "markdown", "source": [ "### **Set password**" ], "metadata": { "azdata_cell_guid": "7c37d248-b9ac-4ad6-be56-158cd70443b1" } }, { "cell_type": "code", "source": [ "mssql_password = os.environ[\"AZDATA_NB_VAR_BDC_ADMIN_PASSWORD\"]" ], "metadata": { "azdata_cell_guid": "83d455f3-db10-48bb-bb81-78a6b4e5f2fd" }, "outputs": [], "execution_count": 0 }, { "cell_type": "markdown", "source": [ "### **Set and show current context**" ], "metadata": { "azdata_cell_guid": "127c8042-181f-4862-a390-96e59c181d09" } }, { "cell_type": "code", "source": [ "run_command(f'kubectl config use-context {mssql_cluster_context}')\n", "run_command('kubectl config current-context')" ], "metadata": { "azdata_cell_guid": "7d1a03d4-1df8-48eb-bff0-0042603b95b1", "tags": [ "hide_input" ] }, "outputs": [], "execution_count": 0 }, { "cell_type": "markdown", "source": [ "### **Create deployment configuration files**" ], "metadata": { "azdata_cell_guid": "138536c3-1db6-428f-9e5c-8269a02fb52e" } }, { "cell_type": "code", "source": [ "mssql_target_profile = 'ads-bdc-custom-profile'\n", "if not os.path.exists(mssql_target_profile):\n", " os.mkdir(mssql_target_profile)\n", "bdcJsonObj = json.loads(bdc_json)\n", "controlJsonObj = json.loads(control_json)\n", "bdcJsonFile = open(f'{mssql_target_profile}/bdc.json', 'w')\n", "bdcJsonFile.write(json.dumps(bdcJsonObj, indent = 4))\n", "bdcJsonFile.close()\n", "controlJsonFile = open(f'{mssql_target_profile}/control.json', 'w')\n", "controlJsonFile.write(json.dumps(controlJsonObj, indent = 4))\n", "controlJsonFile.close()\n", "print(f'Created deployment configuration folder: {mssql_target_profile}')" ], "metadata": { "azdata_cell_guid": "2ff82c8a-4bce-449c-9d91-3ac7dd272021", "tags": [ "hide_input" ] }, "outputs": [], "execution_count": 6 }, { "cell_type": "markdown", "source": [ "### **Create SQL Server 2019 Big Data Cluster**" ], "metadata": { "azdata_cell_guid": "efe78cd3-ed73-4c9b-b586-fdd6c07dd37f" } }, { "cell_type": "code", "source": [ "print (f'Creating SQL Server 2019 Big Data Cluster: {mssql_cluster_name} using configuration {mssql_target_profile}')\n", "os.environ[\"ACCEPT_EULA\"] = 'yes'\n", "os.environ[\"AZDATA_USERNAME\"] = mssql_username\n", "os.environ[\"AZDATA_PASSWORD\"] = mssql_password\n", "run_command(f'azdata bdc create -c {mssql_target_profile}')" ], "metadata": { "azdata_cell_guid": "373947a1-90b9-49ee-86f4-17a4c7d4ca76", "tags": [ "hide_input" ] }, "outputs": [], "execution_count": 7 } ] }