SQL Server Deployment extension for Azure Data Studio Provides a notebook-based experience to deploy Microsoft SQL Server Deploy SQL Server… Deployment SQL Server container image Run SQL Server container image with docker SQL Server Big Data Cluster SQL Server Big Data Cluster allows you to deploy scalable clusters of SQL Server, Spark, and HDFS containers running on Kubernetes Version SQL Server 2017 SQL Server 2019 RC ./notebooks/docker/2017/deploy-sql2017-image.ipynb ./notebooks/docker/2019/deploy-sql2019-image.ipynb SQL Server 2019 RC Deployment target New Azure Kubernetes Service Cluster Existing Azure Kubernetes Service Cluster Existing Kubernetes Cluster (kubeadm) ./notebooks/bdc/2019/deploy-bdc-aks.ipynb ./notebooks/bdc/2019/deploy-bdc-existing-aks.ipynb ./notebooks/bdc/2019/deploy-bdc-existing-kubeadm.ipynb ./notebooks/bdc/2019/azdata/deploy-bdc-aks.ipynb ./notebooks/bdc/2019/azdata/deploy-bdc-existing-aks.ipynb ./notebooks/bdc/2019/azdata/deploy-bdc-existing-kubeadm.ipynb Deploy SQL Server 2017 container images with docker Deploy SQL Server 2019 container images with docker Container name SQL Server password Confirm password Port Deployment target: new AKS cluster Deployment target: existing AKS cluster SQL Server Big Data Cluster settings Cluster name Controller username Password Confirm password Azure settings Subscription id Use my default Azure subscription Resource group name Region AKS cluster name VM size VM count Deployment target: existing Kubernetes cluster (kubeadm) Storage class name Capacity for data (GB) Capacity for logs (GB) SQL Server on Windows Run SQL Server on Windows, select a version to get started. I accept {0}, {1} and {2}. Microsoft Privacy Statement azdata License Terms SQL Server License Terms Unknown field type: "{0}" {0} doesn't meet the password complexity requirement. For more information: https://docs.microsoft.com/sql/relational-databases/security/password-policy {0} doesn't match the confirmation password Please fill out the required fields marked with red asterisks. Invalid output received. Error retrieving version information.{0}Error: {1}{0}stdout: {2} Open Notebook Failed to load extension: {0}, Error detected in the resource type definition in package.json, check debug console for details. The resource type: {0} is not defined The notebook {0} does not exist Download and launch installer, URL: {0} Downloading from: {0} Successfully downloaded: {0} Launching: {0} Successfully launched: {0} Download failed, status code: {0}, message: {1} Save config files Script to Notebook Deploy Deploy SQL Server Big Data Cluster "{0}" Connect to Master SQL Server Successfully deployed SQL Server Big Data Cluster: {0} Failed to retrieve the endpoint list. {0}{1} Master SQL Server endpoint is not found. View error detail Failed to deploy SQL Server Big Data Cluster "{0}". An error occured launching the output notebook. {1}{2}. Failed to deploy SQL Server Big Data Cluster and no output notebook was generated. Save config files Config files saved to {0} Deploy SQL Server 2019 Big Data Cluster on a new AKS cluster Deploy SQL Server 2019 Big Data Cluster on an existing AKS cluster Deploy SQL Server 2019 Big Data Cluster on an existing kubeadm cluster Summary A browser window for logging to Azure will be opened during the SQL Server Big Data Cluster deployment. Deployment target Kube config Cluster context Cluster settings Deployment profile Cluster name Controller username Authentication mode Active Directory Basic Organizational unit Domain controller FQDNs Domain DNS IP addresses Domain DNS name Cluster admin group Cluster users App owners App readers Service account username Azure settings Subscription id Default Azure Subscription Resource group Location AKS cluster name VM size VM count Scale settings SQL Server master instances Compute pool instances Data pool instances Spark pool instances Storage pool (HDFS) instances (Spark included) Storage class for data Claim size for data (GB) Storage class for logs Claim size for logs (GB) Controller Storage pool (HDFS) Data SQL Server Master Storage settings SQL Server Master Gateway Application proxy Management proxy Readable secondary Endpoint settings Error occured while closing the wizard: {0}, open 'Debugger Console' for more information. Azure settings Configure the settings to create an Azure Kubernetes Service cluster Subscription id Use my default Azure subscription The default subscription will be used if you leave this field blank. {0} View available Azure subscriptions New resource group name Location {0} View available Azure locations AKS cluster name VM count VM size {0} View available VM sizes Cluster settings Configure the SQL Server Big Data Cluster settings Cluster name Admin username This username will be used for controller and SQL Server. Username for the gateway will be root. Password This password can be used to access the controller, SQL Server and gateway. Confirm password Authentication mode Basic Active Directory Docker settings Registry Repository Image tag Username Password Active Directory settings Organizational unit Distinguished name for the organizational unit. For example: OU=bdc,DC=contoso,DC=com. Domain controller FQDNs Use comma to separate the values. Fully qualified domain names for the domain controller. For example: DC1.CONTOSO.COM. Use comma to separate multiple FQDNs. Domain DNS IP addresses Use comma to separate the values. Domain DNS servers' IP Addresses. Use comma to separate multiple IP addresses. Domain DNS name Cluster admin group The Active Directory group for cluster admin. Cluster users Use comma to separate the values. The Active Directory users/groups with cluster users role. Use comma to separate multiple users/groups. Service account username Domain service account for Big Data Cluster Service account password App owners Use comma to separate the values. The Active Directory users or groups with app owners role. Use comma to separate multiple users/groups. App readers Use comma to separate the values. The Active Directory users or groups of app readers. Use comma as separator them if there are multiple users/groups. Password There are some errors on this page, click 'Show Details' to view the errors. Service settings Scale settings SQL Server master instances Compute pool instances Data pool instances Spark pool instances Storage pool (HDFS) instances Include Spark in storage pool Use controller settings Storage class for data Claim size for data (GB) Storage class for logs Claim size for logs (GB) Controller By default Controller storage settings will be applied to other services as well, you can expand the advanced storage settings to configure storage for other services. Advanced storage settings Storage pool (HDFS) Data pool SQL Server Master Storage settings DNS name Port Controller DNS name Controller port SQL Server Master DNS name SQL Server Master port Gateway Gateway DNS name Gateway port Management proxy Management proxy DNS name Management proxy port Application proxy Application proxy DNS name Application proxy port Readable secondary Readable secondary DNS name Readable secondary port Endpoint settings Invalid Spark configuration, you must check the 'Include Spark' checkbox or set the 'Spark pool instances' to at least 1. Target cluster context Select the kube config file and then select a cluster context from the list Please select a cluster context. Kube config file path Browse Cluster Contexts No cluster information is found in the config file or an error ocurred while loading the config file Select Failed to load the config file Deployment configuration template Select the target configuration template Note: The settings of the deployment profile can be customized in later steps. Failed to load the deployment profiles: {0} Service Instances SQL Server Master Compute Data HDFS + Spark Storage size GB per Instance Data storage Log storage Features Basic authentication Active Directory authentication High Availability Please select a deployment profile. Provides the ability to package and run an application in isolated containers docker A command-line tool for managing Azure resources Azure CLI A command-line utility written in Python that enables cluster administrators to bootstrap and manage the Big Data Cluster via REST APIs azdata A command-line tool allows you to run commands against Kubernetes clusters kubectl Select the deployment options Select You must agree to the license agreements in order to proceed. Tool Description Installed Version Options Required tools No tools required {0}: {1} Additional status information for tool: {0}. {1} Yes No You will need to restart Azure Data Studio if the tools are installed after Azure Data Studio is launched to pick up the updated PATH environment variable. You may find additional details in the debug console. Some required tools are not installed or do not meet the minimum version requirement.