mirror of
https://github.com/ckaczor/azuredatastudio.git
synced 2026-02-04 01:25:38 -05:00
add confirm password for notebooks (#6351)
* add confirm password for notebooks * one password
This commit is contained in:
Alan Ren
@@ -22,7 +22,7 @@
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"cells": [
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{
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"cell_type": "markdown",
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"source": "\n\n## Create Azure Kubernetes Service cluster and deploy SQL Server 2019 big data cluster\n\nThis notebook walks through the process of deploying a SQL Server 2019 big data cluster on Azure Kubernetes Service.\n\n* Please follow the instructions in the **Dependencies** cell to install the dependencies.\n* The **Required information** cell will prompt you for the required information to create a SQL Server 2019 big data cluster.\n* We have included some default settings in the **Azure settings** cell of this Notebook, Please review the default values and make changes accordingly.\n* If you are experiencing issue in the *Create AKS cluster* step you might need to re-run the cell, more information: https://docs.microsoft.com/en-us/azure/aks/kubernetes-service-principal#specify-a-service-principal-for-an-aks-cluster. \n\n",
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"source": "\n\n## Create Azure Kubernetes Service cluster and deploy SQL Server 2019 big data cluster\n\nThis notebook walks through the process of deploying a SQL Server 2019 big data cluster on Azure Kubernetes Service.\n\n* Please follow the instructions in the **Dependencies** cell to install the dependencies.\n* The **Required information** cell will prompt you for the required information to create a SQL Server 2019 big data cluster.\n* We have included some default settings in the **Azure settings** cell of this Notebook, Please review the default values and make changes accordingly.\n* If you are experiencing issue in the *Create AKS cluster* step you might need to re-run the cell, more information: https://docs.microsoft.com/en-us/azure/aks/kubernetes-service-principal#specify-a-service-principal-for-an-aks-cluster. \n\n",
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"metadata": {}
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},
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{
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@@ -49,7 +49,7 @@
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},
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{
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"cell_type": "code",
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"source": "import getpass\ndef get_user_input(input_name, is_password = False):\n if is_password:\n user_input = getpass.getpass(prompt = input_name)\n print(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_controller_password = get_user_input('Controller password', True)\nbdc_mssql_sa_password = get_user_input('SQL Server password', True)\ndocker_username = get_user_input('Docker username')\ndocker_password = get_user_input('Docker password', True)",
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"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)",
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"metadata": {},
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"outputs": [],
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"execution_count": 2
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@@ -73,7 +73,7 @@
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},
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{
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"cell_type": "code",
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"source": "azure_resource_group = mssql_cluster_name\nbdc_knox_password = bdc_mssql_sa_password\naks_kubernetes_version = ''\naks_cluster_name = mssql_cluster_name\nmssqlctl_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'azure_subscription_id = {azure_subscription_id}')\nprint(f'azure_vm_size = {azure_vm_size}')\nprint(f'azure_vm_count = {str(azure_vm_count)}')\nprint(f'azure_region = {azure_region}')\nprint(f'azure_resource_group = {azure_resource_group}')\nprint(f'aks_kubernetes_version = {aks_kubernetes_version}')\nprint(f'aks_cluster_name = {aks_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('')",
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"source": "azure_resource_group = mssql_cluster_name\naks_kubernetes_version = ''\naks_cluster_name = mssql_cluster_name\nmssqlctl_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'azure_subscription_id = {azure_subscription_id}')\nprint(f'azure_vm_size = {azure_vm_size}')\nprint(f'azure_vm_count = {str(azure_vm_count)}')\nprint(f'azure_region = {azure_region}')\nprint(f'azure_resource_group = {azure_resource_group}')\nprint(f'aks_kubernetes_version = {aks_kubernetes_version}')\nprint(f'aks_cluster_name = {aks_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('')",
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"metadata": {},
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"outputs": [],
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"execution_count": 4
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@@ -169,7 +169,7 @@
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},
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{
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"cell_type": "code",
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"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_controller_password\nos.environ[\"MSSQL_SA_PASSWORD\"] = bdc_mssql_sa_password\nos.environ[\"KNOX_PASSWORD\"] = bdc_knox_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()",
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"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()",
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"metadata": {},
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"outputs": [],
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"execution_count": 12
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@@ -205,7 +205,7 @@
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},
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{
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"cell_type": "code",
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"source": "filteredEndpoints = [x for x in endpointsInJson if x['name'] == 'sql-server-master']\r\nif filteredEndpoints and len(filteredEndpoints) == 1:\r\n display(HTML(\"<h3><a href=\\\"command:azdata.connect?{"serverName":"\"+filteredEndpoints[0]['endpoint']+\"","providerName":"MSSQL", "authenticationType":"SqlLogin","userName":"sa","password":"\"+bdc_mssql_sa_password+\""}\\\">Click here to connect to SQL Server</a></h3>\"))",
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"source": "filteredEndpoints = [x for x in endpointsInJson if x['name'] == 'sql-server-master']\r\nif filteredEndpoints and len(filteredEndpoints) == 1:\r\n display(HTML(\"<h3><a href=\\\"command:azdata.connect?{"serverName":"\"+filteredEndpoints[0]['endpoint']+\"","providerName":"MSSQL", "authenticationType":"SqlLogin","userName":"sa","password":"\"+bdc_password+\""}\\\">Click here to connect to SQL Server</a></h3>\"))",
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"metadata": {},
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"outputs": [],
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"execution_count": 15
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@@ -22,7 +22,7 @@
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"cells": [
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{
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"cell_type": "markdown",
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"source": "\n\n## Deploy SQL Server 2019 big data cluster on an existing Kubernetes cluster\n\nThis notebook walks through the process of deploying a SQL Server 2019 big data cluster on an existing Kubernetes cluster\n\n* Follow the instructions in the **Dependencies** cell to install the dependencies.\n* Make sure you have the target cluster set as the current context in your kubectl config file.\n* The **Required information** cell will prompt you for the required information to create a SQL Server 2019 big data cluster.\n\n",
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"source": "\n\n## Deploy SQL Server 2019 big data cluster on an existing Kubernetes cluster\n\nThis notebook walks through the process of deploying a SQL Server 2019 big data cluster on an existing Kubernetes cluster\n\n* Follow the instructions in the **Dependencies** cell to install the dependencies.\n* Make sure you have the target cluster set as the current context in your kubectl config file.\n* The **Required information** cell will prompt you for the required information to create a SQL Server 2019 big data cluster.\n\n",
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"metadata": {}
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},
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{
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@@ -61,7 +61,7 @@
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},
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{
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"cell_type": "code",
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"source": "import getpass\ndef get_user_input(input_name, is_password = False):\n if is_password:\n user_input = getpass.getpass(prompt = input_name)\n print(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_controller_password = get_user_input('Controller password', True)\nbdc_mssql_sa_password = get_user_input('SQL Server password', True)\ndocker_username = get_user_input('Docker username')\ndocker_password = get_user_input('Docker password', True)",
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"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)",
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"metadata": {},
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"outputs": [],
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"execution_count": 3
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@@ -73,7 +73,7 @@
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},
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{
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"cell_type": "code",
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"source": "bdc_knox_password = bdc_mssql_sa_password\nmssqlctl_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('')",
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"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('')",
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"metadata": {},
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"outputs": [],
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"execution_count": 4
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@@ -100,7 +100,7 @@
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"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()",
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"metadata": {},
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"outputs": [],
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"execution_count": 7
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"execution_count": 6
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},
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{
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"cell_type": "markdown",
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@@ -109,10 +109,10 @@
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},
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{
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"cell_type": "code",
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"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_controller_password\nos.environ[\"MSSQL_SA_PASSWORD\"] = bdc_mssql_sa_password\nos.environ[\"KNOX_PASSWORD\"] = bdc_knox_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()",
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"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()",
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"metadata": {},
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"outputs": [],
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"execution_count": 12
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"execution_count": 7
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},
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{
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"cell_type": "markdown",
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@@ -124,7 +124,7 @@
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"source": "cmd = f'mssqlctl login --cluster-name {mssql_cluster_name}'\nrun_command()",
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"metadata": {},
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"outputs": [],
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"execution_count": 13
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"execution_count": 8
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},
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{
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"cell_type": "markdown",
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@@ -136,7 +136,7 @@
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"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)",
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"metadata": {},
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"outputs": [],
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"execution_count": 14
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"execution_count": 9
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},
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{
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"cell_type": "markdown",
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@@ -145,10 +145,10 @@
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},
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{
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"cell_type": "code",
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"source": "filteredEndpoints = [x for x in endpointsInJson if x['name'] == 'sql-server-master']\r\nif filteredEndpoints and len(filteredEndpoints) == 1:\r\n display(HTML(\"<h3><a href=\\\"command:azdata.connect?{"serverName":"\"+filteredEndpoints[0]['endpoint']+\"","providerName":"MSSQL", "authenticationType":"SqlLogin","userName":"sa","password":"\"+bdc_mssql_sa_password+\""}\\\">Click here to connect to SQL Server</a></h3>\"))",
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"source": "filteredEndpoints = [x for x in endpointsInJson if x['name'] == 'sql-server-master']\r\nif filteredEndpoints and len(filteredEndpoints) == 1:\r\n display(HTML(\"<h3><a href=\\\"command:azdata.connect?{"serverName":"\"+filteredEndpoints[0]['endpoint']+\"","providerName":"MSSQL", "authenticationType":"SqlLogin","userName":"sa","password":"\"+bdc_password+\""}\\\">Click here to connect to SQL Server</a></h3>\"))",
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"metadata": {},
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"outputs": [],
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"execution_count": 15
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"execution_count": 10
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}
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]
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}
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