mirror of
https://github.com/ckaczor/azuredatastudio.git
synced 2026-02-16 10:58:30 -05:00
revert the notebook background execution (#7984)
This commit is contained in:
Alan Ren
@@ -1,273 +0,0 @@
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{
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"metadata": {
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python",
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"version": "3.6.6",
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"mimetype": "text/x-python",
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"pygments_lexer": "ipython3",
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"nbconvert_exporter": "python",
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"file_extension": ".py"
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}
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},
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"nbformat_minor": 2,
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"nbformat": 4,
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"\n",
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" \n",
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"## Create Azure Kubernetes Service cluster and deploy SQL Server 2019 Big Data Cluster\n",
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" \n",
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"This notebook walks through the process of creating a new Azure Kubernetes Service cluster first, and then deploys a <a href=\"https://docs.microsoft.com/sql/big-data-cluster/big-data-cluster-overview?view=sqlallproducts-allversions\">SQL Server 2019 Big Data Cluster</a> on the newly created AKS cluster."
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],
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"metadata": {
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"azdata_cell_guid": "4f6bc3bc-3592-420a-b534-384011189005"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"import json,sys,os\n",
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"def run_command(command):\n",
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" print(\"Executing: \" + command)\n",
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" !{command}\n",
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" if _exit_code != 0:\n",
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" sys.exit(f'Command execution failed with exit code: {str(_exit_code)}.\\n\\t{command}\\n')\n",
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" print(f'Successfully executed: {command}')"
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],
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"metadata": {
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"azdata_cell_guid": "326645cf-022a-47f2-8aff-37de71da8955",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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"execution_count": 1
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},
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{
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"cell_type": "markdown",
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"source": [
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"### **Set variables**\n",
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"Generated by Azure Data Studio using the values collected in the Deploy Big Data Cluster wizard"
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],
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"metadata": {
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"azdata_cell_guid": "8716915b-1439-431b-ab0a-0221ef94cb7f"
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}
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},
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{
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"cell_type": "markdown",
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"source": [
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"### **Set password**"
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],
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"metadata": {
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"azdata_cell_guid": "b083aa8d-990c-4170-ba1d-247ba5c6ae76"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"mssql_password = os.environ[\"AZDATA_NB_VAR_BDC_ADMIN_PASSWORD\"]"
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],
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"metadata": {
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"azdata_cell_guid": "de256ddd-b835-4eb6-8cfc-c1a6239b0726"
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},
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"outputs": [],
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"execution_count": 0
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},
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{
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"cell_type": "markdown",
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"source": [
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"### **Login to Azure**\n",
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"\n",
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"This will open a web browser window to enable credentials to be entered. If this cells is hanging forever, it might be because your Web browser windows is waiting for you to enter your Azure credentials!\n",
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""
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],
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"metadata": {
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"azdata_cell_guid": "baddf2d9-93ee-4c42-aaf1-b42116bb1912"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"run_command(f'az login')"
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],
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"metadata": {
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"azdata_cell_guid": "8f1404a6-216d-49fb-b6ad-81beeea50083",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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"execution_count": 5
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},
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{
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"cell_type": "markdown",
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"source": [
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"\n",
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"### **Set active Azure subscription**"
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],
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"metadata": {
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"azdata_cell_guid": "230dc0f1-bf6e-474a-bfaa-aae6f8aad12e"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"if azure_subscription_id != \"\":\n",
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" run_command(f'az account set --subscription {azure_subscription_id}')\n",
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"else:\n",
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" print('Using the default Azure subscription', {azure_subscription_id})\n",
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"run_command(f'az account show')"
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],
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"metadata": {
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"azdata_cell_guid": "ab230931-2e99-483b-a229-3847684a8c1c",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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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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"source": [
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"### **Create Azure resource group**"
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],
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"metadata": {
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"azdata_cell_guid": "d51db914-f484-489f-990d-72edb3065068"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"run_command(f'az group create --name {azure_resource_group} --location {azure_region}')"
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],
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"metadata": {
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"azdata_cell_guid": "7c53eb23-c327-41bf-8936-bd34a02ebdd5",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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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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"source": [
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"### **Create AKS cluster**"
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],
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"metadata": {
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"azdata_cell_guid": "818eb705-71e2-4013-8420-44886a5468b2"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"run_command(f'az aks create --name {aks_cluster_name} --resource-group {azure_resource_group} --generate-ssh-keys --node-vm-size {azure_vm_size} --node-count {azure_vm_count}')"
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],
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"metadata": {
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"azdata_cell_guid": "3cea1da0-0c18-4030-a5aa-79bc98a5a14d",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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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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"source": [
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"### **Set the new AKS cluster as current context**"
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],
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"metadata": {
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"azdata_cell_guid": "5ade8453-5e71-478f-b6b6-83c55626243d"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"run_command(f'az aks get-credentials --resource-group {azure_resource_group} --name {aks_cluster_name} --admin --overwrite-existing')"
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],
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"metadata": {
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"azdata_cell_guid": "9ccb9adf-1cf6-4dcb-8bd9-7ae9a85c2437",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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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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"source": [
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"### **Create deployment configuration files**"
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],
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"metadata": {
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"azdata_cell_guid": "57eb69fb-c68f-4ba8-818d-ffbaa0bc7aec"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"mssql_target_profile = 'ads-bdc-custom-profile'\n",
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"if not os.path.exists(mssql_target_profile):\n",
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" os.mkdir(mssql_target_profile)\n",
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"bdcJsonObj = json.loads(bdc_json)\n",
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"controlJsonObj = json.loads(control_json)\n",
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"bdcJsonFile = open(f'{mssql_target_profile}/bdc.json', 'w')\n",
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"bdcJsonFile.write(json.dumps(bdcJsonObj, indent = 4))\n",
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"bdcJsonFile.close()\n",
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"controlJsonFile = open(f'{mssql_target_profile}/control.json', 'w')\n",
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"controlJsonFile.write(json.dumps(controlJsonObj, indent = 4))\n",
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"controlJsonFile.close()\n",
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"print(f'Created deployment configuration folder: {mssql_target_profile}')"
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],
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"metadata": {
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"azdata_cell_guid": "3fd73c04-8a79-4d08-9049-1dad30265558",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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"execution_count": 10
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},
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{
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"cell_type": "markdown",
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"source": [
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"### **Create SQL Server 2019 Big Data Cluster**"
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],
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"metadata": {
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"azdata_cell_guid": "6e82fad8-0fd0-4952-87ce-3fea1edd98cb"
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}
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},
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{
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"cell_type": "code",
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"source": [
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"print (f'Creating SQL Server 2019 Big Data Cluster: {mssql_cluster_name} using configuration {mssql_target_profile}')\n",
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"os.environ[\"ACCEPT_EULA\"] = 'yes'\n",
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"os.environ[\"AZDATA_USERNAME\"] = mssql_username\n",
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"os.environ[\"AZDATA_PASSWORD\"] = mssql_password\n",
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"if os.name == 'nt':\n",
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" print(f'If you don\\'t see output produced by azdata, you can run the following command in a terminal window to check the deployment status:\\n\\tkubectl get pods -n {mssql_cluster_name} ')\n",
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"run_command(f'azdata bdc create -c {mssql_target_profile}')"
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],
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"metadata": {
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"azdata_cell_guid": "c43ea026-ca5e-4e2a-8602-fcc786354168",
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"tags": [
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"hide_input"
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]
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},
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"outputs": [],
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"execution_count": 11
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}
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]
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}
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@@ -1,170 +0,0 @@
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{
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"metadata": {
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3"
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},
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"language_info": {
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"name": "python",
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"version": "3.6.6",
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"mimetype": "text/x-python",
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"pygments_lexer": "ipython3",
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"nbconvert_exporter": "python",
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"file_extension": ".py"
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}
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},
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"nbformat_minor": 2,
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"nbformat": 4,
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"\n",
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" \n",
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"## Deploy SQL Server 2019 Big Data Cluster on an existing Azure Kubernetes Service (AKS) cluster\n",
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" \n",
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"This notebook walks through the process of deploying a <a href=\"https://docs.microsoft.com/sql/big-data-cluster/big-data-cluster-overview?view=sqlallproducts-allversions\">SQL Server 2019 Big Data Cluster</a> on an existing AKS cluster."
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],
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"metadata": {
|
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"azdata_cell_guid": "82e60c1a-7acf-47ee-877f-9e85e92e11da"
|
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}
|
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},
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{
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"cell_type": "code",
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"source": [
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"import json,sys,os\n",
|
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"def run_command(command):\n",
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" print(\"Executing: \" + command)\n",
|
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" !{command}\n",
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" if _exit_code != 0:\n",
|
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" sys.exit(f'Command execution failed with exit code: {str(_exit_code)}.\\n\\t{command}\\n')\n",
|
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" print(f'Successfully executed: {command}')"
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],
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"metadata": {
|
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"azdata_cell_guid": "d973d5b4-7f0a-4a9d-b204-a16480f3940d",
|
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"tags": []
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},
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"outputs": [],
|
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"execution_count": 1
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},
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{
|
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"cell_type": "markdown",
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"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"
|
||||
}
|
||||
},
|
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{
|
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"cell_type": "markdown",
|
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"source": [
|
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"### **Set password**"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "7c37d248-b9ac-4ad6-be56-158cd70443b1"
|
||||
}
|
||||
},
|
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{
|
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"cell_type": "code",
|
||||
"source": [
|
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"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
|
||||
}
|
||||
]
|
||||
}
|
||||
@@ -1,182 +0,0 @@
|
||||
{
|
||||
"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": [
|
||||
"\n",
|
||||
" \n",
|
||||
"## Deploy SQL Server 2019 Big Data Cluster on an existing cluster deployed using kubeadm\n",
|
||||
" \n",
|
||||
"This notebook walks through the process of deploying a <a href=\"https://docs.microsoft.com/sql/big-data-cluster/big-data-cluster-overview?view=sqlallproducts-allversions\">SQL Server 2019 Big Data Cluster</a> on an existing kubeadm cluster."
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "23954d96-3932-4a8e-ab73-da605f99b1a4"
|
||||
}
|
||||
},
|
||||
{
|
||||
"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": "26fa8bc4-4b8e-4c31-ae11-50484821cea8",
|
||||
"tags": [
|
||||
"hide_input"
|
||||
]
|
||||
},
|
||||
"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": "e70640d0-6059-4cab-939e-e985a978c0da"
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"### **Set password**"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "7b383b0d-5687-45b3-a16f-ba3b170c796e"
|
||||
}
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"source": [
|
||||
"mssql_password = os.environ[\"AZDATA_NB_VAR_BDC_ADMIN_PASSWORD\"]\n",
|
||||
"if mssql_auth_mode == \"ad\":\n",
|
||||
" mssql_domain_service_account_password = os.environ[\"AZDATA_NB_VAR_BDC_AD_DOMAIN_SVC_PASSWORD\"]"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "b5970f2b-cf13-41af-b0a2-5133d840325e",
|
||||
"tags": [
|
||||
"hide_input"
|
||||
]
|
||||
},
|
||||
"outputs": [],
|
||||
"execution_count": 3
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"### **Set and show current context**"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "6456bd0c-5b64-4d76-be59-e3a5b32697f5"
|
||||
}
|
||||
},
|
||||
{
|
||||
"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": "a38f8b3a-f93a-484c-b9e2-4eba3ed99cc2",
|
||||
"tags": [
|
||||
"hide_input"
|
||||
]
|
||||
},
|
||||
"outputs": [],
|
||||
"execution_count": 0
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"### **Create deployment configuration files**"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "6d78da36-6af5-4309-baad-bc81bb2cdb7f"
|
||||
}
|
||||
},
|
||||
{
|
||||
"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": "3110ab23-ecfc-4e36-a1c5-28536b7edebf",
|
||||
"tags": [
|
||||
"hide_input"
|
||||
]
|
||||
},
|
||||
"outputs": [],
|
||||
"execution_count": 6
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"source": [
|
||||
"### **Create SQL Server 2019 Big Data Cluster**"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "7d56d262-8cd5-49e4-b745-332c6e7a3cb2"
|
||||
}
|
||||
},
|
||||
{
|
||||
"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",
|
||||
"if mssql_auth_mode == \"ad\":\n",
|
||||
" os.environ[\"DOMAIN_SERVICE_ACCOUNT_USERNAME\"] = mssql_domain_service_account_username\n",
|
||||
" os.environ[\"DOMAIN_SERVICE_ACCOUNT_PASSWORD\"] = mssql_domain_service_account_password\n",
|
||||
"if os.name == 'nt':\n",
|
||||
" print(f'If you don\\'t see output produced by azdata, you can run the following command in a terminal window to check the deployment status:\\n\\tkubectl get pods -n {mssql_cluster_name} ')\n",
|
||||
"run_command(f'azdata bdc create -c {mssql_target_profile}')"
|
||||
],
|
||||
"metadata": {
|
||||
"azdata_cell_guid": "0a743e88-e7d0-4b41-b8a3-e43985d15f2b",
|
||||
"tags": [
|
||||
"hide_input"
|
||||
]
|
||||
},
|
||||
"outputs": [],
|
||||
"execution_count": 7
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user